SF State Transportation Survey 2014 FINAL

San Francisco State University 2014 Transportation Survey Results FINAL August 2014 2014 Transportation Survey Results | FINAL San Francisco State University Table of Contents Page Executive Summary 1-1 Introduction 2-1 Online Survey 3-3 Introduction 3-3 Survey Design 3-3 Methodology 3-4 Results 3-8 Cordon Count 4-1 Introduction 4-1 Methodology 4-1 Results 4-3 Carbon Emissions 5-1 Introduction 5-1 Methodology 5-1 Results 5-4 Appendix A: Survey Instruments Cordon Count Survey Form i Online Survey ii Nelson\Nygaard Consulting Associates Inc | i 2014 Transportation Survey Results | FINAL San Francisco State University Table of Figures Page Figure 3-1: Adjusted Faculty/Staff and Student Responses 3-4 Figure 3-2: Population Scale 3-5 Figure 3-3: Mode of Arrival to Campus 3-8 Figure 3-4: Number of Legs in Journey to Campus 3-9 Figure 3-5: All Modes Used to Get to Campus 3-9 Figure 3-6: Cost of Commute 3-10 Figure 3-7: Peak Hour and Total Auto Trips (N = Total Campus Population) 3-10 Figure 3-8: Mode Split by Affiliation 3-11 Figure 3-9: Daily Muni trips by Muni route (N = Total Campus Population) 3-12 Figure 3-10: Peak Hour Muni Trips for the SF State Peak Period (N = Total Campus Population) 3-13 Figure 3-11: Peak Hour Muni Trips for the Muni System Wide Peak Period of 5:00 PM to 6:00 PM 3-13 (N = Total Campus Population) 3-13 Figure 3-12: Peak Hour, Peak Direction Riders for M line (N = Total Campus Population) 3-14 Figure 3-13: Peak Hour, Peak Direction Riders for Bus Route 28/28L (N = Total Campus Population) 3-14 Figure 3-14: Home County of BART Riders (n=726) 3-14 Figure 3-15: Parking On and Near Campus 3-16 Figure 3-16: Parking Costs 3-17 Figure 3-17: Programs to Encourage Drivers to Use Alternative Modes 3-18 Figure 3-18: Willingness to Purchase a Universal Transit Pass 3-18 Figure 3-19: Affiliation with San Francisco State University 3-19 Figure 3-20: Place of Residence 3-19 Figure 3-21: Campus Affiliates by Zip code 3-21 Figure 3-22: Location of SF State University Affiliates 3-1 Figure 4-1: Cordon Count Locations 4-2 Figure 4-2: Number of Vehicles Entering and Exiting by Location 4-3 Figure 4-3: Count of Vehicles Entering and Exiting by Location and Time 4-4 Figure 4-4: Count of Persons Entering and Exiting by Mode and by Hour 4-5 Figure 5-1: Total Passenger Miles Travelled per Day by Mode 5-4 Figure 5-2: Total Pounds of CO2 per Day by Mode 5-5 Figure 5-3: Pounds of CO Emissions per Passenger Mile 5-6 Figure 5-4: Total Miles Travelled and CO Emissions per Day 2014 5-6 Figure 5-5: Passenger-miles travelled, pounds CO per mile, and total CO per year by mode 5-8 Nelson\Nygaard Consulting Associates Inc | i 2014 Transportation Survey Results | FINAL San Francisco State University EXECUTIVE SUMMARY In October 2007, the City and County of San Francisco and San Francisco State University entered into a Memorandum of Understanding (MOU) The purpose of the MOU is to address the impact on the City and County of San Francisco from the implementation of the University’s campus master plan and anticipated increase in enrollment on the campus The MOU identifies a number of measures that the University must take, including the establishment of a traffic monitoring and mitigation program In response to the requirements of the MOU, San Francisco State University has conducted an online transportation survey and cordon count every three years beginning in April, 2008 with subsequent surveys taking place in April 2011 and April 2014 Survey data is used to track a number of key factors such as mode split, peak hour vehicle trips, peak hour Muni ridership, and GHG emissions Key Findings Key findings from the 2014 transportation survey include the following:  Since 2008 the drive-alone rate for commute trips to the University has decreased by 32% with 26% of campus affiliates driving alone to campus in 2008 compared to 19.7% in 2014  The percentage of campus affiliates who arrive on campus on foot has increased by 27.6% between 2008 and 2014  Transit usage has increased with 46.8% of campus affiliates using Muni for some portion of their trip to campus and 26.4% using BART This is an increase of 22.4% and 19.3%, respectively, since 2008  Between 2008 and 2014 the number of peak hour vehicle trips has decreased by 10.6%  Peak hour ridership on the Muni M Line and bus routes 28/28L has decreased slightly between 2008 and 2014  An increase in the daily student population and miles travelled has resulted in a 15% increase in GHG emissions from 2008 to 2014, compared with 30% increase in miles travelled over the same time period The inverse relationship between GHG emissions and miles travelled is due to more miles being travelled on public transportation rather than in private vehicles  Private vehicles have the highest levels of CO emissions per passenger mile More than half of all daily passenger miles are travelled on BART, but only 11% of the total daily pounds of CO2 emissions are generated by BART  Less than half of the total daily passenger miles are in private vehicles, however persons driving alone are the largest contributors to San Francisco State University’s CO commute travel emissions, representing 77% of the total daily pounds of CO2 emissions Nelson\Nygaard Consulting Associates Inc | 1-1 2014 Transportation Survey Results | FINAL San Francisco State University INTRODUCTION In October 2007, the City and County of San Francisco and San Francisco State University entered into a Memorandum of Understanding (MOU) The purpose of the MOU is to address the impact on the City and County of San Francisco from the implementation of the University’s campus master plan and anticipated increase in enrollment on the campus The MOU identifies a number of measures that the University must take, including the establishment of a traffic monitoring and mitigation program The MOU states that the purpose of the traffic monitoring and mitigation program is to monitor and determine whether the University’s expanded Transportation Demand Management (requirement in Section B of the MOU) is successfully minimizing or avoiding new peak hour trips As part of the traffic monitoring and mitigation program the MOU states that the University must conduct a new baseline cordon count and intercept survey no less than 12 months following the certification of the master plan EIR Furthermore, additional cordon counts must be conducted at intervals of no more than every three years or no later than the enrollment of each 1,000 new headcount students to the University In fulfillment of the requirements stated in the MOU, San Francisco State University conducted the baseline cordon count and intercept survey on the main campus at 1600 Holloway Avenue on Wednesday, April 30, 2008 A Wednesday was selected in order to ensure that the cordon count and intercept survey would be representative of a typical day on campus, when classes are in session and most affiliates are on campus The cordon count covered 15 vehicle, pedestrian, and bicycle entry points to campus and intercept surveys were conducted at seven entrances to campus In total, 1400 intercept surveys were completed A subsequent cordon count was conducted on Wednesday, April 27, 2011 The second cordon count covered 16 vehicle, pedestrian, and bicycle entry points to campus In 2014, the cordon count methodology was revised significantly to focus on vehicle entry points to campus The third cordon count was conducted on Wednesday, April 23, 2014 at nine locations In addition to the cordon count, the University also conducted an online survey in 2008, 2011 and in 2014, which was sent to all University affiliates An online survey was not identified in the original MOU; however the creation of an online survey was a result of discussions between the University and the San Francisco Municipal Transportation Agency regarding methodology and the best way to capture the data required as part of the MOU For the 2014 survey, University affiliates were asked questions similar to those asked in the 2011 online survey regarding their journey to campus on Wednesday, April 23, 2014 The purpose of the online survey is to provide more detailed information on travel behavior than can be collected during an intercept survey or cordon count In total, 3,959 University affiliates completed the online survey It should be noted that an intercept survey was not conducted in 2011 or 2014, as the MOU only stipulates that a baseline intercept survey should be conducted and information collected in the online survey is comparable to information that would be gathered by an intercept survey Nelson\Nygaard Consulting Associates Inc | 2-1 2014 Transportation Survey Results | FINAL San Francisco State University This report provides in-depth analysis of the three surveys with a discussion of methodology, survey design and accompanying results, comparing 2014 survey results to 2011 and 2008 survey results The report concludes with a carbon footprint analysis for commute trips, using the data gathered in the online survey Nelson\Nygaard Consulting Associates Inc | 2-2 2014 Transportation Survey Results | FINAL San Francisco State University ONLINE SURVEY INTRODUCTION In April 2014, San Francisco State University conducted an online survey that asked University affiliates how they travelled to and from campus on Wednesday, April 23rd A total of 3,959 University affiliates responded to the survey, and out of the 3,959 total respondents, 3,077 persons stated that they were on campus on Wednesday, April 23rd In 2011 a total of 3,599 University affiliates responded to the survey, and out of the 3,599 total respondents, approximately 2,764 persons stated that they were on campus on Wednesday, April 27th In 2008 a total of 4,386 University affiliates responded to the survey, and approximately 3,300 persons stated they were on campus on Wednesday, April 30th Only those persons who stated they were on campus are included in this analysis unless otherwise noted SURVEY DESIGN The online survey was designed to gain an in depth understanding of how University affiliates commute to and from campus Respondents were asked to provide travel information on up to four legs of their journey to and from campus For example, someone who drove to BART and then took the San Francisco State University shuttle from the Daly City BART station to campus would enter trip information for three legs Similarly, if a respondent transferred from one Muni route to another Muni route, they would enter trip information for two legs Each leg of the journey is treated as a separate question, and respondents are asked to identify the mode they took in each leg, providing the distance they travelled on that mode If respondents took Muni, they were asked to select the Muni route they took, and if a respondent selected BART or Caltrain, they were asked to identify their start and end stations Respondents who stated that they drove or carpooled to campus were asked a series of questions related to parking, including their parking location and how much they paid for parking All respondents were asked to answer a number of background questions, such as their place of residence and affiliation with the University A copy of the online survey instrument is provided in the Appendix A for reference Constraints and Limitations Two questions that were previously asked in 2011 and 2008 were mistakenly deleted from the online survey during the survey design process These questions asked respondents when they arrived and departed campus This data is used to determine the peak period of travel for Muni riders as well as drivers This information is tracked in order for San Francisco State University to monitor vehicle trips and Muni M-line and bus route 28/28L ridership as required by their MOU with the City and County of San Francisco Given that this data is missing an alternative Nelson\Nygaard Consulting Associates Inc | 3-3 2014 Transportation Survey Results | FINAL San Francisco State University methodology was developed to calculate peak hour vehicle trips and Muni M-line and bus route 28/28L ridership The revised methodology is described in further detail in the following section METHODOLOGY Prior to conducting data analysis for the online survey, data cleanup and restructuring as well as the establishment of location-based weights were necessary This section provides a discussion of these processes and describes how the results were scaled up to the campus population Weights Based on the distribution of online surveys between students and faculty/staff, a weight was created and applied to all online survey analysis On an average day 23,372 students and 2,608 faculty and staff members are on campus (Figure 3-1 and Figure 3-2) However, the student to faculty/staff ratio of the online survey sample was not equivalent to the population, so it was necessary to weight the number of student and faculty/staff responses It should be noted this weight is for those online survey respondents who stated they were on campus on April 23, 2014 Respondents who stated they were not on campus on April 23rd were not included in this analysis In order to appropriately weight the online survey responses by affiliation, an overall weight was established using the ratio of the total campus population (33,148) to the total number of online survey responses who stated they were on campus (3,077) The adjusted weight for students and faculty/staff was then determined by dividing the ratio of population to the sample for students and faculty/staff by the overall weight The weighted number of cases is equal to the number of online survey responses multiplied by the adjusted weight Figure 3-1: Adjusted Faculty/Staff and Student Responses Total Population Online Responses Weighted Response Adjusted Weight Students 29,905 2,404 1.1547 2,776 Faculty/Staff 3,243 673 0.4473 301 Total 33,148 3,077 3,077 Scaling to the Campus Population In order to scale the online survey data to represent the San Francisco State University population as a whole, it was necessary to determine how many faculty, staff and students are on campus on an average day The total campus population was obtained from University Facts brochure and the online survey was used to determine the percentage breakdown by affiliation of those persons who are on campus From this an adjustment factor was established When calculating the weighting factor, those respondents who said they were on campus but who stated an affiliation of “Visitor/Contractor” or “Other” were not included Nelson\Nygaard Consulting Associates Inc | 3-4 2014 Transportation Survey Results | FINAL San Francisco State University Figure 3-2: Population Scale Affiliation Total Population Adjustment Factor Daily Population on Campus Students 29,905 78% 23,372 Faculty/Staff 3,243 80% 2,608 Total 33,148 25,979 The total population was then multiplied by the adjustment factor to determine the daily population for students and faculty/staff The daily population is used to scale the survey results to represent the actual San Francisco State University population Data Clean-up and Data Restructuring A number of steps were taken to clean and restructure the online survey responses in order to properly format them for analysis As described in the survey design section, the format of the online survey made it possible for respondents to put multiple legs of their trip in one field In addition, a number of survey respondents did not input the legs of their trip to campus in a logical or feasible way Listed below are the measures taken to clean-up the data A total of 145 respondents stated that they arrived at campus via Caltrain or BART Since this is not physically possible, the last leg of their journey was adjusted For respondents with a last leg mode of Caltrain, their record was adjusted to reflect Muni M-line For respondents stating that they arrived on campus via BART, their record was adjusted to reflect SF State Shuttle or Muni Route 28 as their last mode Mode Split In order to determine the mode split for University affiliates commuting to and from campus it was necessary to create several new variables The newly created variables are as follows: Primary Mode To (Arrival Mode) – The “primary mode to” is the mode by which respondents arrived at campus For the trip to campus, the last leg of the trip was determined to be the primary mode, as respondents could have between one and four legs to their trip Secondary Mode To – The “secondary mode to” is the mode respondents used before their primary mode to campus This trip may have occurred on leg 1, 2, or of their trip, depending on the total number of legs Respondents who used only one mode of transportation to arrive on campus have no recorded secondary mode Source: Faculty and staff population numbers courtesy of University Facts brochure at http://www.sfsu.edu/~puboff/sfsufact/archive/1314/students.htm and http://www.sfsu.edu/~puboff/sfsufact/archive/1314/facstaff.htm Respondents who stated they arrived by BART were assigned to Muni Route 28 or the SF State Shuttle based on the percentage breakdown of those respondents who said they took BART and selected a mode of arrival of either Muni Route 28 or the SF Shuttle Nelson\Nygaard Consulting Associates Inc | 3-5 2014 Transportation Survey Results | FINAL San Francisco State University Primary Mode From (Departure Mode) – The “primary mode from” is the mode by which respondents left campus In addition to creating new variables, the existing data needed to be restructured in order to meet the requirements of the MOU between the University and the City and County of San Francisco The MOU requires that all persons who park and walk within 10 minutes of campus should be classified as drivers rather than walkers when determining the mode split and peak hour auto trips The following steps were taken to address this requirement: Persons with a primary mode to campus of walking and a secondary mode to campus of driving or carpooling were identified using the primary mode to campus variable and the secondary mode to campus variable A primary mode distance variable was then calculated using the responses given in the survey to the question “Please estimate the distance you travelled in this segment of your trip” Persons whose walk segment was 0.5 mile or less were classified with an auto primary mode Half a mile was used because the average speed of walkers is miles an hour, meaning a 10 minute walk is equivalent to approximately 0.5 miles For persons who did not provide a distance, the location where they parked their car was used Respondents who drove or carpooled and parked on or near campus were asked to select the zone which corresponded to their parking location on a map of the area surrounding campus The map covers the area bounded by I-280, Lake Merced Boulevard, Sloat Boulevard, Santa Clara Avenue, Victoria Street, and Head Street Respondents were given 19 zones to choose from Using a 0.5 mile radius, the zones which are within a 10 minute walk to campus were identified Zones where part but not the entire zone is within a 10 minute walk are considered to be within the 0.5 radius Of the 19 zones, only three are not within the 0.5 mile radius The same steps were then repeated for the trips from campus A similar methodology was applied to persons whose primary mode is walk and their secondary mode is Muni in order to more accurately determine the peak hour number of Muni trips as required by the MOU The following steps were taken to address this requirement: Using the primary mode distance variable, persons whose walk segment was 0.5 miles or less were reclassified with a Muni primary mode For persons who did not provide a primary mode distance, the “Muni route taken” was used Persons travelling on routes directly serving campus (17, 18, 28, 28L, 29, 88, M) were reclassified with a Muni primary mode Persons travelling on any other Muni routes retained walk as their primary mode The same steps were then repeated for the trips from campus Vehicles Trips during the Peak Hour Per the MOU, San Francisco State University is required to establish a baseline of PM peak hour vehicle trips As noted in the constraints and limitations section, questions asking respondents at what time they arrived and departed from campus were mistakenly deleted Given this, data collected as part of the vehicle cordon count was used to establish the peak hour for vehicle trips and to determine what percent of vehicle trips occur during the peak hour The following steps were taken to determine the number of vehicle trips during the peak hour: Using the cordon count data, a PM vehicle peak hour of 3:00 PM to 4:00 PM was established with 10% of vehicle trips occurring during this time period This is earlier Nelson\Nygaard Consulting Associates Inc | 3-6 Walk,  Bike,  or  Other-­Self  Propelled Public  Transportation  /  Shuttle Private  Vehicle Which  mode  of  ${q://QID113/ChoiceGroup/SelectedChoices}  did  you  use? Walk Bicycle Other Muni BART SF  State  Shuttle Caltrain Other  bus  provider  than  Muni  (e.g  AC  Transit/Golden  Gate  Transit/SamTrans) Drove  Alone Dropped  Off Motorcycle/Moped Car/Vanpool Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  Muni  Line Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  BART  start  station Specify  BART  end  station Specify  Caltrain  start  station Specify  Caltrain  end  station Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) I  was  the: Passenger Driver Number  of  people  in  the  car/vanpool  on  Wednesday  April,  23,  2014: Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) What  as  your  fourth  mode  of  transportation? None Walk,  Bike,  or  Other-­Self  Propelled Public  Transportation  /  Shuttle Private  Vehicle Which  mode  of  ${q://QID126/ChoiceGroup/SelectedChoices}  did  you  use? Walk Bicycle Other Muni Muni BART SF  State  Shuttle Caltrain Other  bus  provider  than  Muni  (e.g  AC  Transit/Golden  Gate  Transit/SamTrans) Drove  Alone Dropped  Off Motorcycle/Moped Car/Vanpool Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  Muni  Line Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  BART  start  station Specify  BART  end  station Specify  Caltrain  start  station Specify  Caltrain  end  station Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) I  was  the: Passenger Driver Number  of  people  in  the  car/vanpool  on  Wednesday  April,  23,  2014: Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Parking Did  you  park  on  the  street  or  in  a  parking  lot? Parking  lot/garage/driveway On  the  street Where  did  you  park  when  you  came  to  the  main  campus  on  Wednesday,  April  23,  2014? On  Campus Near  Campus Near  Daly  City  BART  station Near  another  BART  station Park  &  Ride  lot Other Please  choose  a  zone  where  you  parked  (map  below) Enlarge  SF  State  Parking  Zones  Image  (New  window) A:  Lot  25 B:  SF  State  Parking  Structure C:  SF  State  Campus,  aside  from  Parking  Structure  or  Lot  25 D:  Buckingham  Way E:  Stonestown  Galleria  Parking  Lot F:  Winston  Drive G:  Lake  Shore  /  Merced  Manor  (South  of  Eucalyptus) H:  Lake  Merced  Boulevard I:  Holloway  Avenue  or  Font  Boulevard J:  19th  Avenue K:  Lakeside L:  Junipero  Serra  Boulevard M:  Ingleside  Terraces  /  Ingleside  /  Oceanview  /  Merced  Heights N:  Lakeshore  /  Merced  Manor  (North  of  Eucalyptus) O:  North  of  Sloat  Boulevard P:  Parkmerced Q:  Lake  Merced  Hill Q:  Lake  Merced  Hill R:  Oceanview  /  Merced  Heights S:  University  Park  South How  much  did  it  cost  you  to  park  on  Wednesday,  April  23,  2014? Free Less  than  $1 $1-­$2 $2-­$4 $4-­$7 $7-­$10 More  than  $10 SF  State  Semester  /  Yearly  Parking  Pass Which  of  the  following  programs,  if  any,  would  encourage  you  to  commute  to  campus  via  a  mode  of  travel  other than  a  single-­  passenger  automobile? Please  rank  your  first,  second,  and  third  choices   First  choice: Second  choice: Third  choice: Your  Trip  from  Campus Your  Trip  from  Campus The  following  questions  are  about  your  trip  from  the  main  campus  You  will  be  asked  to  describe  your  trip  by indicating  the  mode  of  transportation  used  for  each  segment  of  your  trip—whether  you  walked,  bicycled,  drove, or  took  public  transit   Did  you  use  the  same  means  of  transportation  when  you  left  the  campus  on  April  23,  2014?   Yes No No Describe  your  trip  from  the  main  campus  on  Wednesday,  April  23,  2014 If  you  used  more  than  one  mode  of  transportation,  please  start  with  the  first  mode  below  (e.g  if  you  drove  to BART  or  walked  to  the  bus  stop) Walk,  Bike,  or  Other-­Self  Propelled Public  Transportation  /  Shuttle Private  Vehicle Which  mode  of  ${q://QID140/ChoiceGroup/SelectedChoices}  did  you  use? Walk Bicycle Other Muni BART SF  State  Shuttle Caltrain Other  bus  provider  than  Muni  (e.g  AC  Transit/Golden  Gate  Transit/SamTrans) Drove  Alone Dropped  Off Motorcycle/Moped Car/Vanpool Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  Muni  Line Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  BART  start  station Specify  BART  end  station Specify  Caltrain  start  station Specify  Caltrain  end  station Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) I  was  the: Passenger Driver Number  of  people  in  the  car/vanpool  on  Wednesday  April,  23,  2014: Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) What  was  your  second  mode  of  transportation? None Walk,  Bike,  or  Other-­Self  Propelled Public  Transportation  /  Shuttle Private  Vehicle Which  mode  of  ${q://QID157/ChoiceGroup/SelectedChoices}  did  you  use? Walk Bicycle Other Muni BART SF  State  Shuttle Caltrain Other  bus  provider  than  Muni  (e.g  AC  Transit/Golden  Gate  Transit/SamTrans) Drove  Alone Dropped  Off Motorcycle/Moped Car/Vanpool Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  Muni  Line Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  BART  start  station Specify  BART  end  station Specify  Caltrain  start  station Specify  Caltrain  end  station Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) I  was  the: Passenger Driver Number  of  people  in  the  car/vanpool  on  Wednesday  April,  23,  2014: Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) What  was  your  third  mode  of  transportation? None Walk,  Bike,  or  Other-­Self  Propelled Public  Transportation  /  Shuttle Private  Vehicle Which  mode  of  ${q://QID170/ChoiceGroup/SelectedChoices}  did  you  use? Walk Bicycle Other Muni BART SF  State  Shuttle Caltrain Other  bus  provider  than  Muni  (e.g  AC  Transit/Golden  Gate  Transit/SamTrans) Drove  Alone Dropped  Off Motorcycle/Moped Car/Vanpool Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  Muni  Line Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  BART  start  station Specify  BART  end  station Specify  Caltrain  start  station Specify  Caltrain  end  station Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) I  was  the: Passenger Driver Number  of  people  in  the  car/vanpool  on  Wednesday  April,  23,  2014: Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) What  as  your  fourth  mode  of  transportation? None Walk,  Bike,  or  Other-­Self  Propelled Public  Transportation  /  Shuttle Private  Vehicle Which  mode  of  ${q://QID183/ChoiceGroup/SelectedChoices}  did  you  use? Walk Bicycle Other Muni BART SF  State  Shuttle Caltrain Other  bus  provider  than  Muni  (e.g  AC  Transit/Golden  Gate  Transit/SamTrans) Drove  Alone Dropped  Off Motorcycle/Moped Car/Vanpool Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  Muni  Line Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) Specify  BART  start  station Specify  BART  end  station Specify  Caltrain  start  station Specify  Caltrain  end  station Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) I  was  the: Passenger Driver Number  of  people  in  the  car/vanpool  on  Wednesday  April,  23,  2014: Please  estimate  (in  miles)  the  distance  you  traveled  in  this  segment  of  your  trip  (for  instance  if  you  traveled  1 1/2  miles,  enter  1.5) MTC  and  Transit  Pass  Questions In  the  last  three  months,  has  the  way  you  typically  travel  to  campus  changed  at  all? Yes No You  answered  that  you  recently  changed  the  way  you  travel  to  campus    Please  indicate  whether  you  have increased  your  travel  by  any  of  the  following  modes  over  the  last  three  months  (select  all  that  apply): Carpooling  or  riding  as  a  passenger  in  someone  else's  car Riding  a  bus,  train,  shuttle,  or  other  public  transit Riding  a  bike Other Are  you  aware  of  the  “GO!  State”  (“Your  Commute  Matters”)  campaign,  or  of  new  travel  information  provided  on campus  information  screens  located  in  the  Cesar  Chavez  Student  Center,  JPL  Library,  and  Administration,  and Student  Services  buildings  ? Yes No Do  you  have  regular  access  to  a  car,  motorcycle,  or  other  vehicle? Yes No New  Transit  Pass New  Transit  Pass In  an  effort  to  encourage  the  use  of  public  transit  and  to  make  it  more  affordable,  SF  State  is  exploring  the possibility  of  pursuing  a  universal  transit  pass  for  our  students   Would  you  support  a  student  transportation  fee  aimed  at  providing  a  transit  pass  offering  unlimited  Muni  rides, as  well  as  a  discount  on  BART  travel  if  it  provided  a  savings  for  all  students  who  ride  Muni  and/or  BART? Yes No No Currently,  a  monthly  Muni  pass,  which  provides  unlimited  rides  on  Muni,  costs  $66  per  month  What  is  the most  you  would  be  willing  to  pay  for  a  transit  pass  that  provided  unlimited  Muni  rides,  as  well  as  a  discount  on all  BART  travel  throughout  the  BART  system? $30  per  month $35  per  month $40  per  month $50  per  month I  would  not  be  interested  in  such  a  pass Please  provide  any  additional  comments  about  transportation  issues  that  relate  to  SF  State   If  you  would  like  to  be  entered  for  a  chance  to  receive  a  gift  certificate,  please  enter  your  email  address Error Bad  Request OK ... Associates Inc | 2-2 2014 Transportation Survey Results | FINAL San Francisco State University ONLINE SURVEY INTRODUCTION In April 2014, San Francisco State University conducted an online survey that... the SF State Shuttle NelsonNygaard Consulting Associates Inc | 3-12 2014 Transportation Survey Results | FINAL San Francisco State University Figure 3-10: Peak Hour Muni Trips for the SF State. .. Associates Inc | 3-10 2014 Transportation Survey Results | FINAL San Francisco State University Figure 3-8: Mode Split by Affiliation How Online Survey Respondents Get to SF State Freshman Other