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ABSTRACT

The trend of international integration and exchange requires a good enough transport infrastructure to exchange goods and information The development of transport infrastructure is the socio-economic development of the country Therefore, in order to develop the future transport infrastructure and improve the existing transport infrastructure, this study will approach the concept of Intelligent Transport Systems to find out the factors affecting the effectiveness and development of intelligent transport projects in Ho Chi Minh City

This study aims to identify the core factors affecting the development of Intelligent Transport Systems in Vietnam and as a result, forming a branch database to approach smart city standards, by focusing on reviewing qualitative and systematic materials selected in previous studies The results of the study provide a general and comprehensive overview of the main issues of ITS, provide essential knowledge and identify 28 barrier factors with 05 main constructs affecting the effectiveness and development of intelligent transport projects, namely (1) Development of the Intelligent Transport Systems model; (2) Financial constraints for Intelligent Transport Systems; (3) Inadequate/ incomplete transport infrastructure; (4) The over-development of urbanization and (5) The readiness and integration for Intelligent Transport Systems Make a survey from the above factors, then use Ordinary Least Squares method and Partial least squares method in structural equation modeling to analyze the data for the above factors The use of two methods to more objectively evaluate the results of this study

In addition, the study points out the theory of applying the Digital Infrastructure model to prepare for the integration of digital infrastructure systems through transport LQIUDVWUXFWXUHWRZDUGVD³VWDQGDUG´VPDUWFLW\7KHUHVXOWVRIWKHVWXG\ILOOWKHJDSLQknowledge by discovering the causal relationships between barrier constructs and the effectiveness and development of intelligent transport projects and coming up with solutions to these issues, which is also a useful measurement tool for planners, and traffic system designers to help them self-assess and make action plans now or in the near future

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Bҧng 4 6 Vӏ WUtÿiSYLrQWURQJÿѫQYӏ công tác 62

Bҧng 4 7 Thӕng kê trung bình 62

Bҧng 4 8 Bҧng thӕng kê kӃt quҧ tәng hӧp lҫn kiӇPÿӏQK&URQEDFK¶V$OSKDFXӕi cùng cӫa tӯQJWKDQJÿR 65

Bҧng 4 9 Thӕng kê kӃt quҧ phân tích EFA lҫn cuӕi cӫa biӃQÿӝc lұp 66

Bҧng 4 10 Thӕng kê kӃt quҧ phân tích EFA cho biӃn phө thuӝc 67

Bҧng 5 1 Chuyên ngành cӫDÿiSYLrQ 69

Bҧng 5 2 ThӡLJLDQÿiSYLrQF{QJWiF 69

BҧQJĈѫQYӏ ÿiSYLrQF{QJWiF 70

Bҧng 5 4 Vӏ WUtÿiSYLrQWURQJÿѫQYӏ công tác 70

Bҧng 5 5 Thӕng kê trung bình 71

Bҧng 5 6 KӃt quҧ kiӇPÿӏQK&URQEDFK¶V$OSKDFӫDWKDQJÿR$* 73

Bҧng 5 7 KӃt quҧ kiӇPÿӏQK&URQEDFK¶V$OSKDFӫDWKDQJÿR)& 74

Bҧng 5 8 KӃt quҧ kiӇPÿӏQK&URQEDFK¶V$OSKDFӫDWKDQJÿR,7, 74

Bҧng 5 9 KӃt quҧ kiӇPÿӏQK&URQEDFK¶V$OSKDFӫDWKDQJÿR2'8 74

Bҧng 5 10 KӃt quҧ kiӇPÿӏQK&URQEDFK¶V$OSKDFӫDWKDQJÿR5,Oҫn 1) 75

Bҧng 5 11 KӃt quҧ kiӇPÿӏQK&URQEDFK¶V$OSKDFӫDWKDQJÿR5,Oҫn 2) 75

Bҧng 5 12 KӃt quҧ kiӇPÿӏQK&URQEDFK¶V$OSKDFӫDWKDQJÿR(' 76

Bҧng 5 13 Bҧng tәng hӧp kӃt quҧ kiӇPÿӏQK&URQEDFK¶V$OSKDOҫn cuӕi 76

Bҧng 5 14 Giá trӏ cӫa KMO và Bartlett cho các biӃn quan sát (lҫn 1) 77

Bҧng 5 15 KӃt quҧ tәQJSKѭѫQJVDLWUtFKOҫn 1) 77

Bҧng 5 16 KӃt quҧ ma trұn xoay (lҫn 1) 78

Bҧng 5 17 Giá trӏ cӫa KMO và Bartlett cho các biӃn quan sát (lҫn 2) 79

Bҧng 5 18 KӃt quҧ tәQJSKѭѫQJVDLWUtFKOҫn 2) 80

Bҧng 5 19 KӃt quҧ ma trұn xoay (lҫn 2) 81

Bҧng 5 20 Thӕng kê kӃt quҧ phân tích EFA lҫn cuӕi cӫa biӃQÿӝc lұp 82

Bҧng 5 21 Giá trӏ cӫa KMO và Bartlett cho các biӃn quan sát 82

Bҧng 5 22 KӃt quҧ tәQJSKѭѫQJVDLWUtFK 82

Bҧng 5 23 KӃt quҧ ma trұn xoay 83

Bҧng 5 24 KӃt quҧ ma trұQFKѭD[RD\ 83

Bҧng 5 25 Thӕng kê kӃt quҧ phân tích EFA cho biӃn phө thuӝc 83

xiii

Bҧng 5 26 KӃt quҧ giá trӏ WѭѫQJTXDQ3HDUVRQ 84

Bҧng 5 27 KӃt quҧ SKkQWtFKSKѭѫQJVDL$129$ 84

Bҧng 5 28 KӃt quҧ hӋ sӕ hӗi quy Coefficients 85

Bҧng 5 29 KӃt quҧ Model Summary 86

Bҧng 5 30 KӃt quҧ WѭѫQJTXDQKҥng Spearman 87

Bҧng 5 31 KӃt luұn các giҧ thuyӃWEDQÿҫu 87

Bҧng 6 1 KӃt quҧ hӋ sӕ tҧi cӫa các biӃn tiӅm ҭn tӟi chӍ báo (lҫn 1) 91

Bҧng 6 2 KӃt quҧ hӋ sӕ tҧi cӫa các biӃn tiӅm ҭn tӟi chӍ báo (lҫn 2) 92

Bҧng 6 3 KӃt quҧ ÿӝ tin cұy cӫDP{KuQKÿROѭӡng kӃt quҧ 93

Bҧng 6 4 Tiêu chuҭn Fornell-Larcker 94

Bҧng 6 5 Giá trӏ tӹ lӋ ÿһFÿLӇm dӏ biӋt ± ÿһFÿLӇPÿѫQQKҩt (HTMT) 94

Bҧng 6 6 Giá trӏ khoҧng tin cұy Bootstrap 95% 95

Bҧng 6 7 Tәng kӃWFKRP{KuQKÿROѭӡng kӃt quҧ 96

Bҧng 6 8 Bҧng giá trӏ Inner VIF 97

Bҧng 6 9 Giá trӏ tәng mӭFWiFÿӝng 97

Bҧng 6 10 Giá trӏ hӋ sӕ R2 và R2 adj 98

Bҧng 6 11 Giá trӏ hӋ sӕ f 2 98

Bҧng 6 12 Giá trӏ hӋ sӕ Q2 98

Bҧng 6 13 Giá trӏ hӋ sӕ Q2 (xóa biӃn AG) 99

Bҧng 6 14 Giá trӏ hӋ sӕ Q2 (xóa biӃn FC) 99

Bҧng 6 15 Giá trӏ hӋ sӕ Q2 (xóa biӃn ITI) 99

Bҧng 6 16 Giá trӏ hӋ sӕ Q2 (xóa biӃn ODU) 100

Bҧng 6 17 Giá trӏ hӋ sӕ Q2 (xóa biӃn RI) 100

Bҧng 6 18 Tәng hӧp giá trӏ so sánh giӳa OLS và PLS-SEM 103

xiv

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Hình 1 1 TӍ lӋ phҫQWUăPFiFQJjQK.7-;+ÿyQJJySYjR*'37әng cөc Thӕng

kê, 2021) 1

Hình 1 2 CӕQJQJăQWULӅu BӃn Nghé (Sӻ Ĉ{QJ 4

Hình 1 3 KhӕLOѭӧng PM2.5 tӯ 2016 ± 2020 tҥi ViӋt Nam (IQAir, 2020) 6

Hình 2 1 BҧQÿӗ tҥi khu vӵc hoҥWÿӝng cӫa viӋc kӃt hӧp vұn chuyӇn hàng hóa và con QJѭӡi tҥLĈӭc (Nguӗn: ITS Congress 2019) 18

Hình 2 2 Ĉѭӡng cao tӕc N3 ӭng dөng vұt liӋu xanh tҥi Nam Phi (Nguӗn: The South African National Roads Agency) 18

Hình 2 3 Mô hình KiӃn trúc FKXQJĈ7704XDQJ 22

Hình 2 4 Mô phӓng nhұn dҥQJSKѭѫQJWLӋQYjSKѭѫQJWKӭc thanh toán tӵ ÿӝng (VETC, 2021) 23

Hình 2 5 Trang thông tin quy hoҥch tҥi TPHCM (Sӣ QHKT TPHCM, 2021) 23

Hình 2 6 TPHCM ± 7UXQJ/ѭѫQJ,76&HQWHU6ӣ GTVT TPHCM, 2015) 24

Hình 2 8 Mô tҧ các yӃu tӕ cӫa ITS Canada (TAC, 2017) 26

Hình 2 7 Mô tҧ các yӃu tӕ cӫa ITS Mӻ (Transportation, 2017) 27

+uQKĈӏQKQJKƭD.LӃn trúc tham chiӃu cho ITS ViӋt Nam (Ministry of Science and Technology, 2020) 29

Hình 3 1 Xây dӵQJVѫÿӗ nghiên cӭu luұQYăQ 32

Hình 3 2 Minh hӑa cho hӗi quy tuyӃn tính 37

Hình 3 3 BiӇXÿӗ Histogram và Normal P-P Plot mүu 40

Hình 3 4 Giҧ ÿӏnh liên hӋ tuyӃn tính bӏ vi phҥm (mүu) 41

Hình 3 5 Giҧ ÿӏnh liên hӋ tuyӃn tính không bӏ vi phҥm (mүu) 41

Hình 3 6 Mô hình mүXÿѭӡng dүQFѫEҧn PLS-SEM (J J F Hair et al., 2017) 42

+uQK0{KuQKÿROѭӡng cҩu tҥo 43

+uQK0{KuQKÿROѭӡng kӃt quҧ 43

Hình 4 1 Quy trình thu thұp dӳ liӋu 50

xv

Hình 5 1 Mô hình hӗi quy tuyӃn tính OLS 68

+uQKĈӗ thӏ Histogram 85

+uQKĈӗ thӏ Normal P-P Plot 85

+uQKĈӗ thӏ Scatterplot 86

Hình 5 5 KӃt quҧ mô hình OLS 88

Hình 6 1 ThiӃt lұSѭӟFOѭӧng mô hình 90

Hình 6 2 Mô hình ÿѭӡng dүn phân tích tình huӕng 1 90

+uQK0{KuQKÿѭӡng dүn phân tích tình huӕng 2 92

Hình 6 4 ThiӃt lұp Bootstrap 94

Hình 6 5 ThiӃt lұp tiӃn trình blindfolding 98

Hình 6 6 KӃt quҧ mô hình SEM 2 102

Hình 7 1 HӋ VLQKWKiL&ѫVӣ HTKT sӕ (AIIB, 2020) 110

+uQK0{KuQKFѫVӣ CSG và SVG hoҥWÿӝng cùng vӟi sӵ hӛ trӧ cӫa hӋ thӕng &(:36Yj6&$'$FKR,76Kѭӟng tӟLĈ7701JXӗn: Hӑc viên) 111

Hình 7 3 Mô hình mүu cho C-,76Kѭӟng tӟLĈ770Wҥi TPHCM (Nguӗn: Hӑc viên) 112

xvi

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AG Development of the Intelligent

Transport Systems model

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3Kӕ7K{QJ0LQK

ED The effectiveness and

development 6ӵSKiWWULӇQ YjKLӋXTXҧ

FC Financial constraints for

Intelligent Transport Systems

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WKӕQJJLDRWK{QJWK{QJ

PLQKEӏKҥQFKӃ GDP Gross Domestic Product 7әQJ6ҧQ3KҭP4XӕF1ӝL

HTKT Technical Infrastructure +ҥ7ҫQJ.ӻ7KXұt

IoT Internet of Things ,QWHUQHW9ҥQ9ұW

ISO International Organization for

Thông Minh KT-XH Social Economics LQKWӃ± ;mKӝL

ODU The over-development of

urbanization

6ӵEjQKWUѭӟQJFӫDÿ{WKӏ

hóa OLS Ordinary Least Squares %uQK3KѭѫQJ1Kӓ1KҩW

RI

The readiness and integration for Intelligent Transport Systems

Thông Minh

TC Technical Committees +ӝLÿӗQJNӻWKXұW

TPHCM Ho Chi Minh City 7KjQK3Kӕ+ӗ&Kt0LQK

UBND 3HRSOH¶V&RPPLWWHH Ӫ\Ban Nhân Dân

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¾ %ӝ;k\GӵQJUDÿӡLKѫQQăPQKѭQJYүQFyYDLWUzFKtQKWURQJ[XKѭӟQJWRjQFҫXKyDYjOX{QFyQKӳQJEѭӟFÿLWLӃQEӝWKHR[XKѭӟQJKӝLQKұSYӟLWKӃJLӟL Thành SKӕ+ӗ&Kt0LQK73+&0 FyWӕFÿӝÿ{WKӏ KyDQKDQKWKӇKLӋQTXDYLӋFJLDWăQJkhông ngӯQJYӅFҧNK{QJJLDQYjGkQVӕ&NJQJQKѭFiFWKjQKSKӕOӟQNKiFWҥLĈ{QJNam Á (Bangkok, Jakarta, Kuala Lumpur và ManiOD 73+&0ÿѭӧFFiFQKjTXDQViWNLQKWӃÿiQKJLiQKѭPӝW³VLrXÿ{WKӏPӟLQәL´(Mike Hales, 2014)

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¾ C{QJQJKӋQJj\FjQJWLӃQEӝPӝWFiFKU}UӋWYjJySSKҫQOӟQWURQJYLӋFJL~SÿLӅXFKӍQKcác YҩQÿӅYӅÿ{WKӏYjOmQKWKәÿӇÿyQQKұQQKӳQJFѫKӝLPӟLYӅNLQKWӃP{LWUѭӡQJTXҧQWUӏDQWRjQQăQJOѭӧQJFXӝFVӕQJF{QJQJKӋWzDQKjJLiRGөF

và con QJѭӡL9LӋW1DPÿDQJWăQJWӕFQJjQK;k\GӵQJÿӇKӛWUӧWKLӃWOұSFiFGӵiQÿ{WKӏWK{QJPLQK kӃWKӧSYӟL,QWHUQHWYҥQYұW,R7 KjQJÿҫXWURQJF{QJFXӝFTXҧQWUӏ Yj NLQK WӃ FӫD QѭӟF WD (Huu Duc, Kim Bich, Van Ngo, & Tien Manh, 2015; Quang, 2020)

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