Research on the Impact of the Built Environment on the Characteristics of Metropolis Rail Transit School Commuting-Take Wuhan as an Example

被引:11
作者
Peng, Jiandong [1 ]
Qi, Jiajie [1 ]
Cui, Changwei [1 ]
Yan, Jinming [2 ]
Dai, Qi [3 ]
Yang, Hong [1 ]
机构
[1] Wuhan Univ, Sch Urban Design, Wuhan 430072, Peoples R China
[2] Guangzhou Planning & Design Survey Res Inst, Guangzhou 510030, Peoples R China
[3] Wuhan Transportat Dev Strategy Inst, Wuhan 430014, Peoples R China
关键词
rail transit; built environment; travel behavior; school commuting; Wuhan; PHYSICAL-ACTIVITY; ACTIVE-TRANSPORT; TRAVEL BEHAVIOR; URBAN FORM; NEIGHBORHOOD; CHILDREN; YOUTH; ADOLESCENTS; WEIGHT; CHOICE;
D O I
10.3390/ijerph18189885
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The long-distance commute to school caused by urban sprawl and the car-oriented urban construction model are key factors leading to primary/middle school students being picked up by their parents in cars. Encouraging those students to take rail transit can reduce their dependence on cars. This paper uses a stepwise regression based on rail-transit swipe data to explore the influence of the built environment on rail-transit commuting characteristics in Wuhan, and uses a geographically weighted regression (GWR) model to analyze the spatial heterogeneity of significant influencing variables. The study found that: (1) 60% of students are one-way commuters; (2) 88.6% of students travel less than 10 km; (3) the floor area ratio, bus station density and whether the station is a transfer station have an obvious positive effect on the flow of commuters; (4) whether the station is a departure station has a positive effect on the commuting distance, but the mixed degree of land use and road density have a negative effect on the commuting distance. This research can assist cities in formulating built environment optimization measures and related policies to improve school-age children's use of rail transit. This is important in the development of child-friendly cities.
引用
收藏
页数:18
相关论文
共 45 条
  • [1] Built environment characteristics and parent active transportation are associated with active travel to school in youth age 12-15
    Carlson, Jordan A.
    Sallis, James F.
    Kerr, Jacqueline
    Conway, Terry L.
    Cain, Kelli
    Frank, Lawrence D.
    Saelens, Brian E.
    [J]. BRITISH JOURNAL OF SPORTS MEDICINE, 2014, 48 (22) : 1634 - U76
  • [2] Mixed land-uses and commuting: Evidence from the American housing survey
    Cervero, R
    [J]. TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 1996, 30 (05) : 361 - 377
  • [3] Travel demand and the 3Ds: Density, diversity, and design
    Cervero, R
    Kockelman, K
    [J]. TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 1997, 2 (03) : 199 - 219
  • [4] Application of geographically weighted regression to the direct forecasting of transit ridership at station-level
    Daniel Cardozo, Osvaldo
    Carlos Garcia-Palomares, Juan
    Gutierrez, Javier
    [J]. APPLIED GEOGRAPHY, 2012, 34 : 548 - 558
  • [5] Di Mascio P., 2020, TRANSP RES PROCEDIA, V45, P360, DOI [10.1016/j.trpro.2020.03.027, DOI 10.1016/J.TRPRO.2020.03.027]
  • [6] School location and student travel - Analysis of factors affecting mode choice
    Ewing, R
    Schroeer, W
    Greene, W
    [J]. TRANSPORTATION PLANNING AND ANALYSIS 2004, 2004, (1895): : 55 - 63
  • [7] Travel and the Built Environment
    Ewing, Reid
    Cervero, Robert
    [J]. JOURNAL OF THE AMERICAN PLANNING ASSOCIATION, 2010, 76 (03) : 265 - 294
  • [8] Active school transport, physical activity levels and body weight of children and youth: A systematic review
    Faulkner, Guy E. J.
    Buliung, Ron N.
    Flora, Parminder K.
    Fusco, Caroline
    [J]. PREVENTIVE MEDICINE, 2009, 48 (01) : 3 - 8
  • [9] The built environment and travel behavior: making the connection
    Guo, Jessica Y.
    Chen, Cynthia
    [J]. TRANSPORTATION, 2007, 34 (05) : 529 - 533
  • [10] How the built environment affects physical activity - Views from urban planning
    Handy, SL
    Boarnet, MG
    Ewing, R
    Killingsworth, RE
    [J]. AMERICAN JOURNAL OF PREVENTIVE MEDICINE, 2002, 23 (02) : 64 - 73