List of Paper Abstracts Received for The 13th TRB National Transportation Planning Applications Conference

TRB Transportation Planning Applications Committee (ADB50) List of Paper Abstracts Received for The 13th TRB National Transportation Planning Applications Conference Reno, Nevada May 8-12, 2011 September 21, 2010 List of Abstracts 11-100: Estimating the Residential Location of Non-Drivers at the Block Level using Census Data .1 11-101: A New Transportation Planning Paradigm: Constraints-Based Planning in Response to the Declining Transportation Funds and Growing Interest in Sustainable Communities and Climate Change 11-102: Sustainability on the Cheap Low cost retrofit strategies for making urban and suburban environments more resource efficient and livable 11-103: A Quantitative Approach to Estimating Congestion and Air Quality Benefits of LRT Starter Line on the Phoenix Metropolitan Region .4 11-104: Prioritization of Future Freight Infrastructure Projects within the Anchorage Metropolitan Area .5 11-105: Driving Smart: Car2Go in Austin and Beyond 11-106: Cell-based Data Collection 11-107: Anchorage Bike Plan: On a Shoestring Budget 11-108: Repurposing Turning Movement Counting Boards for PNR Counts 11-110: HUB-CAP, A-HOW-TOOL TO MEET LEGAL CHALLENGES FOR LANE RENTAL DURING CONSTRUCTION 10 11-111: Optimising the Application of Urban HOV Lanes .11 11-112: Evaluating and Communicating Model Results: Guidebook for Planners [NCHRP 08-36 (Research for the AASHTO Standing Committee on Planning)] 12 11-113: Tour-Based Model for a Small Area 14 11-114: Sustainable Transportation Solutions in Austin Texas .15 11-115: Feedback on Feedback: CAMPO’s Findings from Testing Various Feedback Approaches 16 11-116: Testing the Transferability of Activity Based Model Parameters 17 11-117: Defining a Travel Demand Model Sharing Protocol 18 11-118: OPTIMIZATION OF SATURATED ARTERIAL NETWORK 19 11-119: Assessing the Marginal Cost of Freeway Congestion for Vehicle Fleets Using Passive GPS Data 20 11-120: Non-Traditional Public Engagement: E-Surveys and Virtual Public Meetings at the NYSDOT 21 11-121: Impact of Crowding on Rail Ridership: Sydney Metro Experience and Forecasting Approach .22 11-122: Predicting the Impacts of Housing and Jobs Site Decisions on Work Travel in Connecticut: A Model using Census Journey-To-Work Data 23 11-123: Challenges and Findings Estimating Demand for Special-Event Transit, the “Train-to-the-Game” Example 24 11-124: Adapting a Four-Step MPO Travel Model for Wildfire Evacuation Planning: A Practical Application from Colorado Springs 25 11-125: An Innovative Approach to Mapping Vehicle Classification Data 27 11-126: Congestion Management Process (CMP): Lessons Learned and Ongoing Challenges for Connecting Long-Range Plans and Projects 28 11-127: The Highway 82 Corridor: Planning for Alternatives to Sprawl in Rural Areas .29 11-128: Some aspects of bush-based algorithms for the traffic assignment problem: turns handling, monotone volume/delay functions, and path analysis .30 11-129: INTEGRATING UNCONVENTIONAL ARTERIAL INTERSECTION DESIGNS INTO TRANSPORTATION PLANNING PROJECTS 31 11-130: Regional Bicycle Demand Model: In Use Today in Portland 32 11-131: A Simple Framework to Assess Potential Impact of Regional Toll System on Environmental Justice Population .33 11-132: Quantifying Non-Motorized Demand – A New Way of Understanding Walking and Biking Demand 34 11-133: A Comparison of Bluetooth vs Traditional Origin-Destination Survey Data Collection Methods 35 i 11-134: Transportation Data Collection and Management Under Poor Driving Behaviour and Extreme Weather Conditions 36 11-135: Select Bus service, New York city's experience and reduction in Greenhouse gas 37 11-136: Justifying the benefits of freeway corridor detour operations under non-recurrent congestion: A decision model and numerical analysis 38 11-137: You Only Need 9,214 Model Runs to Evaluate 12 Projects 39 11-138: Adaptation to Climate Change in the Long-Range Transportation Planning 40 11-139: Sensitivity Analysis on Dynameq: A View from Practice 41 11-140: Say It To My Facebook: Current Transportation EISs Using Social Media for Public Involvement 42 11-141: Complex Issues Associated with Urban Arterial Capacity Projects and TOD Corridors 43 11-142: Use of TRANSIMS to Analyze Large-Scale Land-Use Changes 44 11-143: ENLARGING THE CHOICES IN THE STRATEGY BASED TRANSIT ASSIGNMENT 45 11-144: GIS-Based Framework for Modeling Non-Motorized Transportation 46 11-145: A New Approach to Expand Metropolitan Travel Choices 47 11-146: Integrating MORPC's Tour Model with Dynamic Network Simulation 48 11-147: Adjustments to the Alameda County Travel Demand Model for HOT Lane Analysis 50 11-148: Adapting an Integrated Transportation and Land Use Model (MetroScope) to Simulate Travel and Land Use Impacts of Transit and Tolling Options for the Columbia River Crossing Project 51 11-149: GIS Application for Transit Access Data Development: 52 A Case Study of the Chicago Metropolitan Agency for Planning (CMAP) Travel Demand Model 52 11-150: Development of the National Travel Model of Slovenia 53 11-151: Analysis Tool for Model Output to Evaluate Express Lanes Feasibility 54 11-152: Incorporation of Pricing in the Time- of-Day Model 55 11-154: Developing a Regional GIS enterprise and decision support tool for transportation planning Transportation Environmental and Land-Use Data Enterprise (TELUDE) 57 11-155: Development of a Dynamic Traffic Assignment for the Portland Metropolitan Region 58 11-156: Integrated Systems Planning: Corridor Concept and Application .59 11-157: Traffic flow data collection using inductive loop detectors at signalized intersections 60 11-158: COMPARISONS OF SYNTHETIC POPULATIONS GENERATED FROM CENSUS 2000 AND AMERICAN COMMUNITY SURVEY (ACS) PUBLIC USE MICRODATA SAMPLE (PUMS) 61 11-159: SPATIAL DISTRIBUTION AND VISUALIZATION OF DAILY POPOULATION WITHIN AN ACITIVITY-BASED MODELING FRAMEWORK .63 11-160: Houston-Galveston Area Council Regional Transit Framework Study .64 11-161: Successful Integration of a Demand Model with a Microsimulation Model .65 11-162: Develop a Standardized Indicator of Public Transportation Access using Block-Level Data- A Washington D.C Case Study 67 11-163: Translating policy to practice: an interdisciplinary investigation of transportation planning 68 11-164: Improving the modeling of time-of-day effects in the PSRC activity-based model: joint mode & time-of-day models and time-sensitive logsums .69 11-165: Estimating Mobile Source GHG Emissions in Los Angeles County: A Web-based Tool for Calculating the Greenhouse Gas Benefits of Transportation Improvement Projects 70 11-166: A Case Study of Assessing Applicability of Regional Travel Demand Model for Nexus Study .72 11-167: The impact of road network expansion on agricultural development: a review study of Al-Qassim region in Saudi Arabia .73 11-168: Applying DTA Model for Travel Demand Modeling 74 11-169: USE OF TRIP TABLE ESTIMATION TO IMPROVE PROJECT TRAFFIC FORECASTS 75 11-170: Development of Connectivity and Accessibility Measures for Atlanta Metropolitan Area 76 11-171: Developing GIS Databases for Transportation Planning in Kuwait 77 11-172: Application of Transportation Models for Integrated Public Transport System in Kuwait .80 11-173: Livability in Transportation: Lessons from the FHWA/FTA Guidebook 82 ii 11-174: Application of Transportation Data Collection in a Rapidly Changing Society: Challenges and Solutions – A Case Study from for Kuwait’s Planning Needs 83 11-175: Hybrid Mesoscopic-Microscopic Traffic Simulation Framework .85 11-176: Short Term Improvements for Pedestrians, Bicyclists and Transit Riders - The Jackson Heights Neighborhood Transportation Study .86 11-177: Effects of Household Life Cycle Changes on Travel Behavior: Evidence from Michigan Statewide Household Travel Surveys 87 11-178: Tri-level freight modeling: A simulation of trucks going near and far 89 11-179: Utilizing Data Collected from Consumer Navigation Devices: Case Studies with Validation 90 11-180: Surveying and Modeling Long Distance Trips 92 11-181: Changes in Household Vehicle Fleet Compositions and Policy Implications 94 11-182: Development of a Regional Transit Forecasting Model Based on Google Transit Feed 95 11-183: A Simple Methodology to Evaluate the Disparate Impacts of Fare and Service Change on Protected Populations in a Fixed Guideway System .96 11-184: After Evans: Working on an Approximation of a Combined Equilibrium Model Based on QuickPrecision Assignment 97 11-185: An Innovative Software Approach to Developing a Multi-Jurisdictional Congestion Mitigation Fee Program in Los Angeles County .99 11-186: Modeling parking capacity constraint without detailed parking user side info .100 11-187: An Improved GIS-based Master Network Solution for Modeling 101 11-188: A Tool for the Assessment of Local Land Use Decisions on VMT and Resulting Air Quality .102 11-189: Modeled Impacts of Land Use Intensification Near Transit Stations as an Alternative to Major Highway Improvements 103 11-190: Methodology for Estimating Greenhouse Gas Emissions and Assessing Mitigation Options for Project Level and Regional Level Applications for On-Road Mobile Sources 104 11-191: Travel Demand Modeling with R 105 11-192: Integrating a Capacity-constrained Station Choice Model into the Regional Travel Forecasting Model Set 106 11-193: Second Day Response Rates: Implications for CMAP’s Travel Tracker Survey 107 11-194: Converting Commodty Flow Databases For Use In MPO Travel Demand Models Through The Use Of Subarea Extraction 108 11-195: The Use of GPS Subscription Records to Develop Planning Data for Trucks 109 11-196: Early Report on a Regional Traffic Microsimulation Model for Planning and Operations Analysis 110 11-197: Calculating Emissions Within a Travel Demand Model Using MOVES Emissions Rates .111 11-198: Development of a Multi-modal Trip Table to Support a Mesoscopic Model for Manhattan, New York 112 11-199: MICROSCOPIC VS MESOSCOPIC NETWORK LOADINGS FOR SIMULATION-BASED DYNAMIC TRAFFIC ASSIGNMENT 114 11-200: Integrating Assessment of the Economic Benefits of Transportation Improvements in Project-Level Alternatives Analysis .115 11-201: A DEPLOYABLE REGIONAL DYNAMIC TRAFFIC ASSIGNMENT TOOL FOR PLANNERS 116 11-202: COMBINING URBAN MODELS IN THE VIRGINIA TIDEWATER REGION 117 11-203: Application of a Disaggregate Quasi-Dynamic Model of Park-and-Ride Lot Choice 118 11-204: Implementation of GIS Technology in Land Use Data Development and Data Quality Assurance 119 11-205: Corridor-Level Air Quality Analysis of Freight Movement 120 11-206: Buffer-based Area Type Determination for Travel Demand Model Network Links .121 11-207: Congestion Pricing in Oregon: First Steps in Implementing A Congestion Pricing Strategy in the Portland Metro Area 122 11-208: Empirical Results from a New Traffic Assignment Method 123 iii 11-209: DEPLOYMENT OF STATE OF THE PRACTICE PLANNING METHODS IN VICTORIA, BC 124 11-210: Can Multi-Resolution Dynamic Traffic Assignment live up to the Expectation of Reliable Analysis of Incident Management Strategies? .125 11-211: Leveraging Web-Based GIS for Managing Transportation Network Information 126 11-212: Integration of an Activity Based Model, Traffic and Transit Simulation Model, and MOVES 127 11-213: Freight Data and Decision Makers: How they were introduced in Utah 128 11-214: Analyzing Transit Oriented Development (TOD) Indicators for Houston Metropolitan Area 130 11-215: Good Level of Service is Bad Service .131 11-216: State-of-the-Art Traffic Modeling for Cowboys Stadium; An Innovative Approach to Gameday Traffic Forecasting 132 11-217: Recent Practice in Modeling Non-Motorized Travel .133 11-218: Using a Statewide Model to Help Improve State Long-Range Plan Decision-Making: The Utah DOT Experience .135 11-219: An Integrated Travel Demand, Mesoscopic and Miroscopic Modeling Platform to Assess Traffic Operations for Manhattan, New York 137 11-220: I love LUCI: Practical Use of the San Francisco County Land Use and Champ Integrated model .139 11-221: Making Activity-Based Travel Demand Models Play Nice with Trip Rates 141 11-222: Easy Breezy Beautiful DTA Modeling of the Geary Boulevard Bus Rapid Transit Project – Was it Really That Simple? 143 11-223: Development of a Large Scale Traffic Simulation Model to Improve the Flow of Commercial Vehicles from Maquiladora Industry to International Border-Crossings 144 11-224: Cost Analysis for Reliability of Public Transit System 145 11-225: Effect of Bus Capacity on Transit Reliability in a Simulated Route .146 11-226: Abu Dhabi New Transport Demand Model .147 11-227: Collecting data for wasting time and service time for urban bus of public transportation 149 11-228: Long Range GIS Land Use Planning with UPlan; Plan and Projection 150 11-229: PIMS, an impressive tool in running Air Quality Conformity 152 11-230: Comparative Analysis of Queue Estimation Models at Traffic Signals 154 11-231: Managing Complexity with Multi-Scale Travel Forecasting Models .155 11-232: A Multi-attribute Framework for Statewide Transit Ridership Determination 156 11-233: Exploring the National Housedold Travel Surveys on Telecommuting Behavior 158 11-234: Integration of Dynamic Traffic Assignment in a Four-Step Model Framework – A Deployment Case Study in PSRC (Puget Sound Regional Council) Model 159 11-235: I-70 Dedicated Truck Lanes Feasibility Study: Modeling Methodology for a Four State Study Corridor 160 11-236: TCRP Report 95 Series: Chapter 19 –Employer and Institutional TDM Strategies 161 11-237: Dynamic Modeling Methods for Analyzing Interstate Corridor Operational Planning Projects 162 11-238: Davie Road and State Road 84 Transit Facility Demand Estimation 163 11-239: MID-TERM FOLLOW-UP ASSESSMENT OF A DISAGGREGATE LAND USE MODEL 165 11-240: Discrete Choice Models of the Preferences for Alternative Fuel Vehicles 166 11-241: Model Validation/Application for Significant Growth Areas in Florida 168 11-243: Transit On-Board Surveys – Using a Segment Approach 170 11-244: GreenSTEP: Applying Oregon’s Statewide Greenhouse Gas Emissions Model in Florida 171 11-245: Computational Challenges and Prospects in Advanced Travel Demand Modeling 172 11-246: Estimating the Transportation Effects of Smart Growth: Implementation of a 4D postprocessor for the Monterey Bay region .173 11-247: I-15 Multi-State Corridor Master Plan: Visioning for a Future without Borders 174 11-248: Looking for a Better Way to Smooth: Recent Applications in Texas and Utah .175 11-249: Development of a Park and Ride Lot Choice Model for Portland Metro 176 11-250: Development and Application of the Atlanta Activity-Based Model Visualization Dashboard 177 iv 11-251: Implementing an EVMS/Cost Controls System for FAA's TAMR Program 178 11-252: An Open-Source Integration of Land-use and Travel Models: Challenges and Lessons Learnt in the Charlotte Metro Region 179 11-253: An Alternative Method to Develop and Apply Household Stratification Curves: An example from the 2010 Indianapolis MPO model update 180 11-254: Development of a Hybrid Freight Model from Truck Travel Surveys and Commodity Flow Data 181 11-255: The Use of Complex Disaggregate Models in a Planning Context 183 11-256: Quality of Life Improvement in NYC .184 11-257: Present Operational Data on High Occupancy Vehicles (HOV) Facilities to the General Public 186 11-258: Development of a Regional Special Events Model and Forecasting Special Events LRT Ridership 187 11-259: Developing a Subregional Model Tool for the Southern California Association of Governments 189 11-260: Multi-Urbanized Area Model Development and Application 190 11-261: Interactive Mapping Applications for LRTP/TIP Development 191 11-262: Travel Speed Surveys and Model Calibration 192 11-263: Linking Land Use and Transportation Models: .193 Transportation User Benefits and Site Values .193 11-264: The Evolution of Integrated Land Use and Transportation Modeling and Planning Tools in Greater Fredericksburg, Virginia 194 11-265: Building a Better Plan: .195 The Costs and Benefits of Transportation Alternatives 195 11-266: A Validation Methodology for an Integrated Mesoscopic and Microscopic Modeling Platform to Assess Traffic Operations for Manhattan, New York 196 11-267: Electronic Fare Card Data – A Transit On-Board Survey Application 198 11-268: Statewide Model Influence Areas: Turning Model Data into Clear and Understandable Results 199 11-269: 1996 Atlanta Olympics: Planning, Visioning, and Deriving Lessons 201 11-270: Planning Sustainable Community Strategies by Integrating Scenario Visioning Tools and Economic Urban Forecasting Models Using GIS 202 11-271: Southwest Georgia Interstate Study 203 11-272: Surface Transport Master Plan (STMP) 2030: Changing Vision to Reality 204 11-273: Developing a Land Use Forecast Model for Integrated Land Use/Transportation Modeling 205 11-274: Experiences and Lessons Learned Abu Dhabi Travel Surveys 2009 .206 11-275: Origin - Destination On-Board Study Multi-Mode Data Collection Alternatives 207 11-276: New Findings from Application of Accelerated User Equilibrium Traffic Assignments 208 11-277: Travel Demand Modeling to Support Smart Growth and Climata Change Policies .209 11-278: Assessing Feasibility of Electric Buses in Small/Medium-Sized Communities 210 11-279: Does Public Transit Really Reduce Our Carbon Footprint? A Life Cycle Analysis of Different Transportation Modes 211 11-280: Comparing Aggregate Trip-Based and Disaggregate Tour-Based Travel Demand Models: Highway Results 213 11-281: Methods for Conducting a Large-Scale GPS-Only Survey of Households .215 11-282: Methods for Conducting a Large-Scale GPS-Only Survey of Households .217 11-283: Developing dynamic parameters of volume-delay function for transportation planning applications 219 11-284: Environmental Justice and the Public Involvement Process for a Successful NEPA Project in North Carolina 220 11-285: Emission Pricing for Sustainability of an Urban City Network in Uncertain Demand ConditionsBiobjective optimal capacity expansion model for minimizing emissions and travel time in uncertain demand conditions 221 v 11-286: Effective Usage of Travel Demand Modeling and Traffic Analysis Tools for the Reconstruction of Business 40 in Downtown Winston-Salem 223 11-287: Evaluating Small-Scale Results of Activity-Based Models .224 11-288: Integrated Modeling for Small and Medium Sized MPOs and Cities .226 11-289: Environmental Justice and the Public Involvement Process for a Succeful NEPA Project in North Carolina 227 11-290: Modeling Advanced Corridor Freight Management Strategies Using Dynamic Traffic Assignment 228 11-291: Innovative Interchange Concept Development 229 11-292: Planning a Regional Express Lanes Network - Lessons from the Bay Area 230 11-293: Destination choice model success stories 231 11-294: Discrete Choice Models and Behavioral Response to Congestion Pricing Strategies 232 11-295: A Mesoscopic Simulation and Dynamic Traffic Assignment Model for Planners 233 11-296: Congestion and Time-of-Day Forecast Outcomes of An Activity-Based Model 235 11-298: Generating Employment and Job XY Points in Disaggregate Models 236 11-300: Integrated Passenger & Commercial Vehicle Model for Assessing the Benefits of Dedicated Truckonly Lanes on the Freeways 237 11-301: Enhancing MOVES Transportation and Air Quality Analysis by Integrating with Simulation-Based Dynamic Traffic Assignment 238 11-302: USING PLANNING DATASETS TO DEVELOP DYNAMIC ORIGIN-DESTINATION MATRICES FOR TRAFFIC SIMULATION .240 11-303: Planning and Policy Impacts of Alternative Public Transport Modeling Methods 241 11-304: Evaluating Transportation Projects: An Analytical Hierarchy Approach 243 11-305: LONG-TERM DEMAND FORECASTING OF MANAGED LANES: Challenges in addressing key influential risk parameters .244 11-306: Modeling Active Traffic Management for the I-80 Integrated Corridor Mobility Project 245 11-307: Design and Specification of an Economic Land Use Forecasting System for the Twin Cities .246 11-308: Serving Suburbia with the STAR Line 247 11-310: Sketch Planning Application for a Regional Managed Lane System Access Concept of Operations 248 11-311: How Green is Your Dream: Implementing Quick-Response Tools to Evaluate Sustainability and Climate Change .249 11-312: Workplace Choice Model: Insights into Spatial Patterns of Commuting in Three Metropolitan Regions 250 11-313: Sample Size Requirements and Control Counts for Expansion of Transit Rider Survey Data .252 11-314: Subarea Friction Factors in a Regional Model 253 11-315: Building a Database for Estimation of an Advanced Activity-Based Travel Model from the NHTS 254 11-316: Investigating the Relationship of Service Headway to Wait Time in the Dallas-Fort Worth Metropolitan Area 256 11-317: A Logit Model for Transit Path Choice Behavior 257 11-318: Travel Characteristics of Zero-Vehicle Households in South Florida .258 11-319: Exploring Interactions between Transit Demand of Smart Card Users and Land Use using Intersection-level Origin-Destination Estimation 260 11-320: Sensitivity Testing of an Integrated Regional Travel Demand and Traffic Microsimulation Model 262 11-321: USING TRAFFIC SIMULATION TO PLAN THE ROADWAY NETWORK FOR A TRANSIT ORIENTED DEVELOPMENT 264 11-322: Travel Model Validation Manual Update (or Why Your Model is Wrong and What to Do About It) 265 vi 11-323: The San Joaquin Valley Model Improvement Program: An Innovative and Collaborative Approach to Addressing Climate Change in California 266 11-324: Integrated Dynamic Traffic and Transit Assignment Considering Traffic Congestion and a ScheduleBased Transit Network 268 11-325: VALIDATION AND SENSITIVITY CONSIDERATIONS FOR STATEWIDE MODELS 270 11-326: Automating the Process of Updating Regional Transit Network:: The SCAG Experience .271 11-327: Administrative Coordination for the California 2010-2012 Statewide Household Travel Survey 273 11-328: Impact of Congestion, Pricing, and Travel Time Reliability on Travel Demand: Summary of Model Specification Tests on Multiple US Data Sources 275 11-329: Integrated Modeling Approach for Studying Sustainable Development in Proposed Transit Corridors 276 11-330: GIS Based Fee Revenue and Growth Forecast Calculator for Congestion Mitigation Fee Program Nexus Study 277 11-331: Application of a Greenhouse Gas-Based Sustainable Return on Investment Analysis for San Mateo County Transit District 278 11-332: The Seaside, CA Parking Strategy and the Influence of Public Involvement 279 11-333: Sipping from a Firehose: Now that I Have all this Output, How Do I Make Sense of it All? 280 11-334: Understanding Ridership Patterns on Light Rail in Phoenix 281 11-335: Pedestrian Behavior in Urban Centers and its Impact on Vehicle Operation 283 11-336: Multimodal Corridor System Management – Incorporating Analysis of Transit, Demand Management Programs and Operational Strategies 285 11-337: Action Plans for Routes of Regional Significance: A Tool for Growth Management .286 11-338: Hedonic Regression of Local-level Attraction Influences on Housing Price: Evidence from California Statewide Rent Modifier Estimation 287 11-339: Travel Demand Forecasting Parameters and Techniques: A New Guidebook 288 11-340: Linking Transportation and Land Use to Create a Legacy 289 11-341: Improving Transit Accessibility Modeling for Regional Travel Demand Models Using GIS Technology 290 11-342: Modeling Travel Time Reliability for Managed Lane Travel Demand Forecast .291 11-343: TRAFFIC FORECASTING FOR I-95 HOT LANES IN VIRGINIA .292 11-344: ON-ROAD VEHICLE ACTIVITY GPS DATA AND PRIVACY 293 11-345: Risk Assessment & Sensitivity Analysis of Traffic and Revenue Projections for Toll facilities .294 11-346: HEAVY DUTY DIESEL VEHICLE MODAL EMISSIONS MODEL ESTIMATES USING GPS DATA 295 11-347: MONITORING VEHICLE OCCUPACNY ON HOV/HOT LANES .296 11-348: An automated approach for identifying type of non-signalized intersection and estimating delays in statewide model application 297 11-349: Congestion Pricing Triggers on Toll Roads .298 11-350: Development and Application of a Parcel Based Statewide Travel Demand Model for the Assessment of the Travel Impacts of Smart Growth strategies and Sidewalk Investments 299 11-351: Understanding and Modeling Transit Preferences in Portland, Oregon 300 11-352: Development of Congestion Management Process Using A Travel Demand Forecasting Model 301 11-353: Comparison of two approaches to integrate UrbanSim Landuse and travel demand model 302 11-354: Applying the SWIM2 Integrated Model in Freight Planning in Oregon 303 11-355: Impacts of Proxy Reporting in Household Surveys on Trip Rates 304 11-356: Comparative Analysis for an Urban Design-Build Construction Project using Dynamic Traffic Assignment 305 11-357: Changes in Young People's Travel 306 11-358: A Trip-Based Joint Departure and Arrival Time Choice Model 307 11-359: A Genetic Algorithm to Develop Truck Model Parameters from Local Truck Count Data 308 vii 11-360: Life-cycle Benefit-cost Analysis of Alternatives for Accommodating Heavy Truck Traffic in the Las Vegas Roadway Network 309 11-361: Integrated Model of the Urban Continuum – Location Choices, Activity-Travel Behavior, and Dynamic Traffic Patterns: Design, Development and Prototype Implementation 310 11-362: Setting Up Validation Data Targets for Assessing Interregional Travel in the California Statewide Travel Demand Modeling Framework 312 11-365: Analysis of a Multimodal Light Rail Corridor Using an Activity-Based Microsimulation Modeling Framework: An Application of TRANSIMS 313 11-366: Statewide Rest Area Prioritization, Project Planning and Implementation .315 11-367: Making and Measuring Progress: From Zonal to Parcel Level Integrated Land Use and Transportation Models 316 11-368: Envisioning Sustainability: Integrating Scenario Planning, Modeling and 3D Visualization 317 11-369: Evaluating the Impact of Road Pricing on Traveler Behavior in the Seattle Region Using Household Travel Diary Surveys 318 11-370: Four-Step Models Deserve to Die By When? 319 11-371: Using Intelligent GPS Devices and Learning Algorithms for Collecting Multi-Week Activity-Travel Diary Data: Experiences in a Dutch Context 320 11-372: Sustainability Evaluation and Planning Guidance for Transportation .321 11-373: An Exploratory Analysis of PAS Characteristics in Solving the Static Deterministic User Equilibrium Traffic Assignment Problem on a Large Scale Urban Network 322 11-376: An Econometric Approach to Forecasting Ridership on the Staten Island Ferry 323 viii 11-100: Estimating the Residential Location of Non-Drivers at the Block Level using Census Data Topic Area: Measuring and Planning for Livability, Sustainability & Environmental Justice Robert Case (Corresponding Author) Principal Transportation Engineer Hampton Roads Transportation Planning Organization 723 Woodlake Dr, Chesapeake, VA 23320, USA rcase@hrpdcva.gov Tel: 757-420-8300 Fax: 757-523-4881 Abstract: Given that 1) non-drivers have a greater need for the mobility improvement provided by a nearby transit stop and nearby activity locations, and 2) non-drivers in zero-vehicle households are particularly vulnerable during evacuation events, locating non-drivers by vehicle availability at a detailed level is valuable Non-driver data not being available from the Census, HRTPO staff have applied regression techniques to develop a method of using Census data to estimate the residential locations of non-drivers age 18+ by vehicle availability and at the block level for any location in the U.S Government emergency managers can use this data to plan evacuation aid for non-drivers in zero-vehicle households Local government and transit agencies can use this data when deciding where to promote the development of activity locations and where to invest in transit, two factors which improve non-driver mobility Keywords: non-driver, transit, evacuation, mobility, block, census 11-361: Integrated Model of the Urban Continuum – Location Choices, Activity-Travel Behavior, and Dynamic Traffic Patterns: Design, Development and Prototype Implementation Topic Area: Travel Demand Modeling and Analysis - Advances in Practice Ram Pendyala (Corresponding Author) Professor School of Sustainable Engineering and the Built Environment, Arizona State University Room ECG252, Tempe, Arizona 85287-5306, US ram.pendyala@asu.edu Tel: 4809653549 Fax: 4809650557 Yi-Chang Chiu Assistant Professor Department of Civil Engineering and Engineering Mechanics, The University of Arizona 1209 E 2nd Street, Tucson, Arizona 85721, US chiu@email.arizona.edu Tel: 5206268462 Fax: 5206212550 Mark Hickman Assistant Professor Department of Civil Engineering and Engineering Mechanics, The University of Arizona 1209 E 2nd Street, Tucson, Arizona 85721, US mhickman@engr.arizona.edu Tel: 5206269420 Fax: 5206212550 Paul Waddell Professor College of Environmental Design, University of California at Berkeley 326A Wurster Hall, Berkeley, California 94720-1820, US waddell@berkeley.edu Tel: 5106436622 Brian Gardner Team Leader FHWA Office of Planning US Department of Transportation, Washington, D.C., Washington, D.C 20590, US brian.gardner@dot.gov Tel: 2023664061 Abstract: In recent years, modeling of urban systems has steadily progressed towards microsimulation based approaches These microsimulation approaches have been adopted to develop models for three different but interconnected subsystems of the urban continuum These include the simulation of the dynamics of land use markets, emergent activity-travel patterns, and route flows in time-dependent networks The need for the integration of these three model systems has been emphasized time and again in previous literature because of the interactions and interdependencies involved Despite considerable research and several advances in the development of integrated models, much remains to be done in the integrated land use - transportation model deployment arena In this paper, an integrated modeling framework that includes land-use, activity-based travel demand and dynamic traffic assignment microsimulation models is presented The integrated model system, dubbed SimTRAVEL 310 (Simulator of Transport, Routes, Activities, Vehicles, Emissions, and Land), is intended to serve as a platform that would allow the integration of model components across temporal scales, geographical entities, and behavioural units in a seamless fashion A prototype of the integrated model is being developed and implemented using three specific model systems – UrbanSim for land-use modeling, OpenAMOS (an open-source version of AMOS, the Activity Mobility Simulator) for activity-travel microsimulation, and MALTA for dynamic traffic assignment and simulation The paper presents in detail the methods employed for integrating the model systems and the numerous software interfaces developed to capture the interactions and interdependencies across model components In particular the interface that enables the dynamic interfacing between the activity-travel demand model (OpenAMOS) and the dynamic traffic assignment and simulation model (MALTA) is emphasized because the approach presents a novel methodology for integrating activity-travel demand and network dynamics along a continuous time axis The two model systems interact on a minute-by-minute basis with OpenAMOS sending MALTA a set of trips that departs in each minute of the day, and MALTA in turn returning to OpenAMOS the set of trips that have arrived at the intended destination The presentation will focus on results of the application of the integrated model prototype to two major metropolitan regions in the United States, namely, the greater Phoenix metropolitan area and the county of San Francisco In each case, the integrated model is run until various convergence criteria are satisfied Convergence criteria have been established on both the supply side (equilibration of travel times on the transportation network) and the demand side (stabilization of OD demand matrices for aggregated time intervals) Different spatial resolutions have been used for the two test beds to examine the impact of spatial resolution on model performance The traffic analysis zone (TAZ) is used as the spatial unit for the Phoenix metropolitan area application, while individual network links representing a finer representation of space are used as spatial units in the San Francisco application This will help identify and isolate the differences in sensitivities to policies that arise from the use of different spatial scales and benchmark the computational performance of the integrated model under various spatial resolution scenarios The presentation will focus heavily on software development, database structures and elements, computational procedures and interfaces, and model validation and sensitivity analysis to provide practitioners insights into the applicability of integrated models for planning applications Keywords: integrated model, activity-based model, dynamic traffic assignment, land use model 311 11-362: Setting Up Validation Data Targets for Assessing Interregional Travel in the California Statewide Travel Demand Modeling Framework Topic Area: Transportation Data Collection and Management – Surveys, Counts and More Nicholas J Linesch (Corresponding Author) Graduate Student Researcher Urban Land Use & Transportation Center - ITS Davis Shields Ave., Davis, CA 95616, USA njlinesch@ucdavis.edu Tel: 530.752.6303 Fax: 530.752.6572 Giovanni Circella Post Doctoral Researcher Urban Land Use & Transportation Center - ITS Davis Shields Ave., Davis, CA 95616, USA gcircella@ucdavis.edu Tel: 530.752.1331 Fax: 530.752.6572 Abstract: California is facing a steady increase in population This is causing significant issues related to rising demand for resources such as personal transportation, commodity flows, and land There is utmost importance in refining the modeling tools to simulate current trends of transportation demand in order to better plan for the future The Urban Land Use and Transportation Center (ULTRANS) has undergone extensive development efforts of a detailed model to forecast travel demand in California The California Statewide Travel Demand Modeling Framework (CSTDMF) forecasts regional and interregional trips to simulate an average day of travel in the state In particular, it assesses travel volume by vehicle type and provides important insight into the state’s environmental and economic impact from trips made by personal and commercial vehicles The understanding and quantification of interregional trip volumes on a statewide level for past, current, and future scenarios results in a useful planning tool for assessing land use and transportation policies One use of the model is for the identification of the main travel corridors, the evaluation of improvement projects, and for the localization of the regions most suitable for future building development With the objective of validating the modeling tool, we built a comprehensive database on interregional traffic volumes using data pulled from the Caltrans Transportation Systems Information (TSI) database and the Performance Measurement System (PeMS) to document historic traffic volumes by vehicle type in key interregional locations This task involved creative data cleaning, bridging two sources of counts, and making the data accessible on demand The team used this data source as a validity check for all components of the modeling framework by comparing and calibrating estimated volumes to the counts in the database This tool will play a key role in approaching policy questions in the assessment of the economic and environmental factors associated with planned infrastructures and proposed developments Providing this tool will educate California politicians to make informed decisions in improving living conditions by addressing air quality, GHG emissions, and social factors related to transportation Keywords: forecasting, counts, database, land use, economic factors, interregional 312 11-365: Analysis of a Multimodal Light Rail Corridor Using an Activity-Based Microsimulation Modeling Framework: An Application of TRANSIMS Topic Area: Travel Demand Modeling and Analysis - Advances in Practice Sarah Volosin Graduate Research Assistant Arizona State University School of Sustainable Engineering and the Built Environment, Tempe, Arizona 85287-5306, USA sarah.ziems@asu.edu Tel: 480-965-3589 Fax: 480-965-0557 Bhargava Sana Graduate Research Assistant Arizona State University School of Sustainable Engineering and the Built Environment, Tempe, Arizona 85287-5306, USA bsana@asu.edu Tel: 480-965-3589 Fax: 480-965-0557 Ram Pendyala (Corresponding Author) Professor Arizona State University School of Sustainable Engineering and the Built Environment, Tempe, Arizona 85287-5306, USA ram.pendyala@asu.edu Tel: 480-727-9164 Fax: 480-965-0557 Brian Grady Senior Associate Resource Systems Group, Inc 55 Railroad Row, White River Junction, Vermont 05001, USA bgrady@rsginc.com Tel: 802-295-4999 Fax: 802-295-1006 Brian Gardner Team Leader Federal Highway Administration 1200 New Jersey Avenue, SE, HEPP-30, Washington, District of Columbia 20590, USA brian.gardner@dot.gov Tel: 2023664061 Fax: 202-493-2198 Abstract: The complexity of human travel patterns increasingly calls for planning tools that can model such patterns for individual travelers (or agents) at fine spatial and temporal resolutions The current trend in model advancement is clearly emphasizing the move toward activity-based demand models and flexible microsimulation tools which allow planners to simulate the movements of individual travelers on time-varying transportation networks The use of microsimulation-based model systems facilitates the analysis of traffic flows, not only from a regional planning context, but also within a sub-area or corridor operations analysis context thus allowing the assessment of strategies for improving traffic operations including, for example, signal coordination, ramp metering, and lane enhancements Although considerable progress has been made in the microsimulation of automobile modes, much remains to be done in the arena of microsimulating transit flows, or mixed auto and transit flows This paper presents a detailed 313 description of a recent study that aims to microsimulate a mixed highway-light rail corridor in the Greater Phoenix Metropolitan Region of Arizona Beginning with a full travel demand model for the entire region, the study involves a detailed analysis of a subarea that encompasses a 20-mile light-rail corridor and incorporates mixed modes of traffic The TRANSIMS software package is applied in this study for as it conveniently integrates activity-based demand generation with multimodal traffic microsimulation In this study, regional activity-travel demand is obtained from the activity generation module of TRANSIMS This demand is then routed in a multimodal network setting including highway, light rail, and bus modes Microsimulation of traffic flows is performed for the subarea that includes the 20mile light rail line currently operational in the region Routing and microsimulation of the demand is performed iteratively until convergence in outputs is achieved Calibration and validation procedures employed in the model to match the existing conditions are described in detail The model is applied to test a variety of scenarios, both from a planning and operations perspective From a planning perspective, the model is applied to test the performance of potential light rail corridor extensions The model is able account for shifts in mode choice and estimate ridership on light rail corridors by time of day From an operations perspective, various operational strategies are considered (e.g., signal preemption, changes in lane geometry, lane or movement restrictions) for the mixed light rail – roadway corridors and the ability of the model to assess the efficacy of such operational strategies is demonstrated The paper focuses heavily on the implementation of TRANSIMS, results of model calibration, validation, and sensitivity analysis, computational performance, and practical implementation considerations of interest to practitioners Keywords: multimodal, microsimulation, TRANSIMS, activity based model, routing and convergence, mixed-modes corridor analysis 314 11-366: Statewide Rest Area Prioritization, Project Planning and Implementation Topic Area: Experiences and Innovations in Project Development and Implementation Christopher Dorrington (Corresponding Author) Transportation Planner Montana Dept of Transportation 2701 Prospect Ave., Helena, MT 59620, US cdorrington@mt.gov Tel: 406-444-7239 Fax: 406-4447-7671 Abstract: Though they are expensive to build and operate, the travelling public deserves and demands available, safe, clean rest stops While the need for transportation system maintenance and capital improvement is inevitable, the negative balance of more projects than money is an ever-present reality As states review transportation construction and maintenance budget line items for possible restriction or elimination, any red pen stopping at safety rest stops is sure to garner a pointed public backlash as demonstrated in national rest area closures over the last 18 months Like many other states, many of the Montana Department of Transportation (MDT) rest area facilities are at or nearing the end of their useful life, requiring substantial investment to remain operational With a clear understanding that funding is limited, and in response to substantial public demand, the MDT has developed a rest area asset management approach and funding plan to improve project development phase stakeholder involvement to deliver more cohesive, cost-effective statewide solutions A substantial effort was undertaken to develop a baseline status for all rest areas, assess the work required to maintain or replace the facilities, and prioritize the work to be accomplished Based on this, a prioritization plan was developed whereby the direst needs are addressed first Many internal and external stakeholders from the MDT, the Montana Division of the Federal Highway Administration (FHWA) and the Montana Department of Environmental Quality (MT DEQ) were involved in the development of the plan, and remain actively engaged in its implementation and management This partnership establishes a cooperative understanding of the need, process and priority for investment including regulatory oversight and Federal-aid project participation during project development and delivery In addition, the MDT is researching a new rest area usage estimation methodology to more clearly quantify rest area demand, sizing, spacing, etc to provide the MDT an improved rest area project delivery mechanism The Rest Area Prioritization Plan is now actively managed to modify priorities and sustain forward project delivery momentum using the rest area funding set-aside This focused planning, investment and research approach has created project development and delivery efficiencies Keywords: rest area, safety rest area, prioritization, planning 315 11-367: Making and Measuring Progress: From Zonal to Parcel Level Integrated Land Use and Transportation Models Topic Area: Integrated Transportation-Land Use Modeling and Planning for Smart Growth, Transit-Oriented-Design, and More Paul Waddell (Corresponding Author) Professor University of California, Berkeley 228 Wurster Hall, #1850, Berkeley, CA 94720-1850, USA waddell@berkeley.edu Tel: 510-926-5956 Abstract: This paper addresses the challenge of developing integrated land use and transportation models in an operational context, by developing an incremental development process The process begins with a quite simple zonal land use model configuration using only residential and employment location choices, and can be implemented without access to parcel-level data The second stage is a modified zonal model system that represents the supply side of land in the form of aggregated buildings by type, aggregated to a zone level This adds models for new supply and for real estate prices The final step moves the level of detail down to parcel and individual building Each of these variants can be connected to a travel model system, either 4-step trip based or activity-based model, with either static or dynamic assignment The approach provides an incremental development path for model improvements for agencies, and a method for assessing benefits and costs at each step The paper will include examples from actual applications Keywords: integrated models, land use and transportation, model application 316 11-368: Envisioning Sustainability: Integrating Scenario Planning, Modeling and 3D Visualization Topic Area: Public Involvement for Successful Projects and Visioning for Long Range Transportation Planning Paul Waddell (Corresponding Author) Professor University of California, Berkeley 228 Wurster Hall, #228, Berkeley, CA 94720-1850, USA waddell@berkeley.edu Tel: 510-926-5956 Daniel Aliaga Associate Professor Purdue University 305 N University St., West Lafayette, IN 47907-2066, USA aliaga@purdue.edu Tel: (765) 496-7943 Abstract: Numerous metropolitan areas have engaged in scenario planning or visioning exercises, and there is a rapid growth in information tools to this, such as I-PLACE3S and Index Metropolitan Planning Agencies responsible for developing Regional Transportation Plans, are increasingly being asked to provide support for these visioning or scenario planning processes, and to find more effective ways to engage the public in the process of evaluating projects and strategies for the RTP or for sustainability plans, such as the Sustainable Communities Strategies in California This paper presents a methodology for integrating scenario creation, modeling, and visualization to provide a more coherent framework to support public engagement throughout the full process of developing a vision, including goals and benchmarks, strategies that can be turned into tangible packages of land use and transportation policies as scenarios, analysis of these plan scenarios using integrated land use and transportation models, and then visualization using automatically generated 3D landscapes in addition to more commonly used indicators Keywords: visioning, scenario planning, 3d visualization, integrated modeling 317 11-369: Evaluating the Impact of Road Pricing on Traveler Behavior in the Seattle Region Using Household Travel Diary Surveys Topic Area: Transportation Data Collection and Management – Surveys, Counts and More Sean Peirce (Corresponding Author) Economist USDOT - RITA - Volpe Center RVT-21, 55 Broadway, Cambridge, MA 02142, USA sean.peirce@dot.gov Tel: 617 494 3156 Fax: 617 494 2429 Margaret Petrella Social Scientist USDOT - RITA - Volpe Center RVT-21, 55 Broadway, Cambridge, MA 02142, USA margaret.petrella@dot.gov Tel: 617 494 3582 Fax: 617 494 2429 Thomas Adler President Resource Systems Group, Inc 55 Railroad Row, White River Junction, VT 05001, USA tadler@rsginc.com Tel: (802) 295-4999 Fax: (802) 295-4999 Elizabeth Greene Senior Project Consultant Resource Systems Group, Inc 55 Railroad Row, White River Junction, VT 05001, USA egreene@rsginc.com Tel: (802) 295-4999 Fax: (802) 295-4999 Abstract: The Volpe National Transportation Systems Center (Volpe Center) and Resource Systems Group, Inc (RSG) are currently collecting survey data to analyze the effects on travel behavior of road pricing projects that are being funded through the USDOT’s Urban Partnership Agreement (UPA) In Seattle, the centerpiece of the UPA is variable road pricing on all lanes of the SR-520 floating bridge across Lake Washington, a key commuter route Seattle's plans also include implementation of an active traffic management system on SR-520 and I-90, a “Lake Washington Travel Time Sign” program to provide information about travel choices on parallel bridge crossings, and enhancements to transit service in the SR-520 corridor Road pricing, in theory, can affect the behavior of travelers in the corridor in many ways, including changes in: residential or workplace location, types of autos owned, trip frequency, trip destinations, trip timing, mode choice, auto occupancy, and route choice In addition, travelers could experience different travel times as a result of the project even if their behavior does not change While road pricing can impact travel at all times of the day, it is focused on ameliorating peak hour conditions by getting commuters and other peak period travelers to change their behaviors in ways that reduce the peak volumes on these facilities The work required for this project includes the design of a complex survey instrument that captures information about travel behavior before and after the pricing project implementation via a two-day travel diary, along with a corresponding sampling and panel management approach that ensures a sufficient sample size of auto travelers, transit users, and vanpoolers at the conclusion of the project Keywords: Congestion Pricing, Road Pricing, Household Travel Diaries 318 11-370: Four-Step Models Deserve to Die By When? Topic Area: Travel Demand Modeling and Analysis - Advances in Practice Harry Timmermans (Corresponding Author) Professor Eindhoven University of technology PO Box 513, Eindhoven, NB 5600 MB, Netherlands h.j.p.timmermans@tue.nl Tel: +31 40 2473315 Abstract: Activity-based of transport demand have been suggested as an alternative to four-step models Potentially, activity-based should be preferred to four-step models because (i) they keep the integrity of the model system, (ii) include interdependencies between different choice facets, allowing the prediction of secondary effects, (iii) deal with household level decisions and (iv) increase higher temporal and spatial resolution The paper will critically evaluate the international state-of-the-art in activity-based modelling of transport demand and argue that regardless of the impressive amount of academic and applied work that has been completed over the last decade, still the potential listed above has not been fully realised in most operational models Keywords: activity-based models, transport demand 319 11-371: Using Intelligent GPS Devices and Learning Algorithms for Collecting MultiWeek Activity-Travel Diary Data: Experiences in a Dutch Context Topic Area: Transportation Data Collection and Management – Surveys, Counts and More Harry Timmermans (Corresponding Author) Professor Eindhoven University of technology PO Box 513, Eindhoven, NB 5600 MB, Netherlands h.j.p.timmermans@tue.nl Tel: +31 40 2473315 Abstract: To reduce respondent burden, the authors have developed learning algorithms that impute data about activities and travel from GPS traces Further efficiency can be obtained bu using intelligent GPS devices, which only record information when a traveller is moving and which automaticallys end the traces to a server This paper will report the experiences obtained in applying this technology in a multi-week data collection effort, conducted in the Netherlands Keywords: activity-travel diaries, GPS 320 11-372: Sustainability Evaluation and Planning Guidance for Transportation Topic Area: Measuring and Planning for Livability, Sustainability & Environmental Justice Elise Barrella (Corresponding Author) Graduate Research Assistant Georgia Institute of Technology 790 Atlantic Drive, Atlanta, Georgia 30332, USA ebarrella@gatech.edu Tel: 717-979-5488 Adjo Amekudzi Associate Professor Georgia Institute of Technology 790 Atlantic Drive, Atlanta, Georgia 30332, USA adjo.amekudzi@ce.gatech.edu Tel: 404-894-0404 Abstract: Sustainable transportation, a principal component of sustainable development, is the balanced consideration of system performance, environmental impacts, economic development, and improved quality of life Several recent policy forums in the United States and abroad have acknowledged the need to apply sustainability as a guiding framework for transportation planning and project development Sustainable transportation is gaining considerable momentum at all levels of government and in the private sector, but there is currently no comprehensive national framework to guide US transportation agencies A Georgia Tech research team is completing a project sponsored by the Federal Highways Administration that looks at sustainability planning and evaluation practices at transportation agencies in the US and abroad The research will provide a catalog of best practices and case studies of appropriate practices that could be implemented at US transportation agencies, including applications of newer integrated methodologies to demonstrate actual gains toward sustainability It will support transportation agencies to consider all aspects of sustainability, beyond the environmental impacts By introducing sustainability principles and practices into the general planning framework, transportation agencies can transform their planning processes to be more responsive to critical challenges in transportation The research will be compiled into a guidebook that should be available to transportation agencies in 2011 Keywords: Sustainability, Transportation Planning 321 11-373: An Exploratory Analysis of PAS Characteristics in Solving the Static Deterministic User Equilibrium Traffic Assignment Problem on a Large Scale Urban Network Topic Area: Others (Travel forecasting modeling) Aroon Aungsuyanon (Corresponding Author) Student University of Wisconsin-Madison 4715 Sheboygan Ave (Apt115), Madison, WI 53705, USA aungsuyanon@wisc.edu Tel: 608-770-9426 Jessica Guo Assistant Professor University of Wisconsin-Madison 1206 Engineering Hall, 1415 Engineering Drive , Madison, WI 53706, USA jyguo@wisc.edu Tel: 608-890-1064 Fax: 608-262-5199 David Boyce Professor Northwestern University 2149 Grey Avenue , Evanston, IL 60201, USA d-boyce@northwestern.edu Tel: 847-570-9501 Fax: 847-491-4011 Abstract: The standard static deterministic user equilibrium (UE) traffic assignment has long been one of the most intensively applied tools utilized by transportation planning practitioners particularly in travel forecasting It is, however, well known that the standard UE formulation provides a unique solution for total link flows but not for route flows In 2009, Bar-Gera proposed a new algorithm, Traffic Assignment by Paired Alternative Segments (TAPAS), to solve the static deterministic UE traffic assignment in a computationally efficient manner while addressing the issue of route flow uniqueness by incorporating a condition of proportionality The key success of the TAPAS algorithm lies in its ability to determine Pairs of Alternative Segments (PAS) on a traffic network Conceptually, PAS are defined as consisting of two sequences of links connecting a pair of nodes in the network for which the segment travel times or generalized costs are precisely equal Because of the way the origin-destination (OD) flows are allocated proportionately across these segments for every OD pair, the TAPAS algorithm results in unique route flows as well as the standard uniquely determined total link flows Although the TAPAS algorithm has been successfully implemented to demonstrate its computational superiority on various scales of both test and actual networks, several empirical characteristics of PAS that comprise the solution of the standard UE model – especially for a large-scale transportation network – have not yet been adequately explored and revealed This study examines and compares the general PAS characteristics on the Chicago regional network at both aggregate and disaggregate level for three different congestion scenarios The investigation utilizes descriptive analysis and graphical and map representations of selected PASs to substantiate its observations and conclusions Findings of this study are expected to help guide transportation professionals and practitioners in understanding the properties of traffic assignments with unique route flows and in assessing the performance of algorithms in traffic assignment problems Keywords: static deterministic user equilibrium traffic assignment, pairs of alternative segment, proportionality condition 322 11-376: An Econometric Approach to Forecasting Ridership on the Staten Island Ferry Topic Area: Travel Demand Modeling and Analysis - Advances in Practice Pierre Vilain (Corresponding Author) Vice President HDR, Inc 500 Seventh Avenue, New York, NY 10018, USA pierre.vilain@hdrinc.com Tel: (212) 542.6040 Fax: (212) 542.6100 Stephanie MacLachlan Senior Program Manager KPFF Consulting Engineers 1601 Fifth Avenue, Suite 1600, Seattle, WA 98101, USA stephanie.maclachlan@kpff.com Tel: (206) 622-5822 Fax: (206) 622-8130 Jeff Chen Senior Economist Halcrow 22 Cortlandt Street , New York, NY 10007, USA chenj@halcrow.com Tel: (914) 837-1336 Fax: (212) 566-5059 Eric Beaton Senior Project Manager New York City Department of Transportation 55 Water Street, 9th Floor , New York , New York 10041, USA ebeaton@dot.nyc.gov Tel: (212) 839-6697 Fax: (212) 839-9892 Abstract: As several classes of the Staten Island Ferry’s fleet approach midlife, the system owner and operator, the New York City Department of Transportation, has commissioned detailed ridership forecasts over a 20-year planning horizon These forecasts are being used to capture the contours and volume of demand so that vessels with commensurate capacity, in an appropriate fleet configuration, can be designed While traditional four-step models are used in metropolitan areas around the world to forecast travel behavior across vast and complex transportation networks, the New York City metropolitan area among them, the team of consultants and New York City DOT staff on this project opted instead to develop and apply a simpler, more parsimonious, and cost-effective econometric approach The team’s econometric approach used ridership data (both past and current) in conjunction with variables including employment in the business services sector in Manhattan, housing permits on Staten Island, toll levels, and leisurerelated employment, to predict ridership on the Staten Island Ferry, which comprises a fixed route via a single mode The team’s relatively simple model avoided entanglement with the many thousands of data points and simultaneous calculations extraneous to this single route that reliance on the regional four-step model would have entailed The results, which are no less precise than what the regional model would have produced, can be tabulated by month, by day of the week, hour of day, and year In addition to the ability to tailor the ridership “drivers” to employment and land use characteristics specific to this single route, the approach is better able to capture economic cycles In addition, 323 regional models may lack the requisite detail in the mode choice step, which is crucial in understanding behavior around waterborne transit This type of approach is particularly well suited to mature service wherein extensive past ridership data are available, and it may be attractive to other transit operators with established service, who are interested in developing forecasts for their own purposes without having to enter into negotiations and data manipulations around large, complex regional models maintained by other parties Keywords: econometric approach to ridership forecasts, waterborne transit 324 ... statewide strategy for adaptation The purpose of this paper is to summarize the issues of adapting to climate change for the transportation sector, within the context of long-range planning, both... facilities for both EJ and non-EJ populations; and therefore the toll system complies with the federal law The second part evaluates how toll fee increment could affect the performance of the transportation. .. some examples of what MPOs require for the use of their model Finally, it will provide a summary of the model sharing protocol developed by CAMPO The paper will provide useful information to agencies