The built environment, networks design, and safety features: An analysis of pedestrian commuting behavior in intermediate-sized cities

被引:13
作者
Nabipour, Mohammad [1 ]
Rosenberg, Mark W. [1 ]
Nasseri, Seyed Hadi [2 ]
机构
[1] Queens Univ, Dept Geog & Planning, Kingston, ON, Canada
[2] Univ Mazandaran, Dept Appl Math, Babolsar, Iran
关键词
Built environments; Choice modeling; Networks design; Stated preference experiment; Traffic safety; Walking; STATED PREFERENCE; ACTIVE-TRANSPORT; MODE CHOICE; SHORT TRIPS; WALKING; DECISION; NEIGHBORHOODS; WALKABILITY; LESSONS; IMPACT;
D O I
10.1016/j.tranpol.2022.09.024
中图分类号
F [经济];
学科分类号
02 ;
摘要
Choosing to walk instead of using private cars or public transit has many direct benefits for the individual and collective benefits for urban populations indirectly (e.g., in the reduction of air pollution). In this study, walking preferences are analyzed taking into account the built environment, network design, and safety features for 15 intermediate-sized Iranian cities. Using a stated preference survey, a sample of more than 3600 work-trip cases was created and multinomial logit modeling was employed to determine significant contributing factors to a preference to walk. The findings indicate that network design variables have the greatest impact on the changes in walking mode choices, and improving them will increase walking choices by more than double. Safety var-iables increase walking choices by about 12%. Built environment factors only increase walking by about 9%. The results demonstrate that variables such as the level of traffic stress, intersections traffic control, pedestrian utilities, street network connectivity, and marked crosswalks and pedestrian bridges have the most influence on choosing to walk. Also, the modal shift analysis shows that changes in the quality of the variable groups have substantial effects on the choice to walk. Investments in upgrading the built environment, network design, and safety could lead to more than 47% of trips shifting from buses and private cars to walking. The proposed choice behavior analysis framework can be applied to active travel planning and policy evaluation. This research contributes to the growing debate about how to best assess, and model different approaches to active travel development for better public policy.
引用
收藏
页码:14 / 23
页数:10
相关论文
共 74 条
[1]  
Adamowicz W.L., 1994, STATED PREFERENCE ME, V94, P7
[2]   Revisiting transit-oriented development: Alleys as critical walking infrastructure [J].
Alawadi, Khaled ;
Khanal, Asim ;
Doudin, Azhar ;
Abdelghani, Rahma .
TRANSPORT POLICY, 2021, 100 :187-202
[3]  
Allison P., 1999, Logistic Regression Using SAS System: Theory and Application
[4]  
[Anonymous], 2012, TRB 2012 ANN M
[5]   Influences of rural built environment on travel mode choice of rural residents: The case of rural Sichuan [J].
Ao, Yibin ;
Zhang, Yuting ;
Wang, Yan ;
Chen, Yunfeng ;
Yang, Linchuan .
JOURNAL OF TRANSPORT GEOGRAPHY, 2020, 85
[6]   Urban walkability considering pedestrians' perceptions of the built environment: a 10-year review and a case study in a medium-sized city in Latin America [J].
Arellana, Julian ;
Saltarin, Maria ;
Larranaga, Ana Margarita ;
Alvarez, Vilma ;
Henao, Cesar Augusto .
TRANSPORT REVIEWS, 2020, 40 (02) :183-203
[7]  
Ben-Akiva M.E., 1985, Discrete Choice Analysis: Theory and Application to Travel Demand
[8]  
Berrigan D., 2019, CENTENNIAL PAPERS
[9]   Where does active travel fit within local community narratives of mobility space and place? [J].
Biehl, Alec ;
Chen, Ying ;
Sanabria-Veaz, Karla ;
Uttal, David ;
Stathopoulos, Amanda .
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2019, 123 :269-287
[10]  
Bierlaire M, 2009, PEDESTRIAN BEHAVIOR: MODELS, DATA COLLECTION AND APPLICATIONS, P1