地理学报 ›› 2015, Vol. 70 ›› Issue (10): 1664-1674.doi: 10.11821/dlxb201510010

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上海城市建成环境对居民通勤方式选择的影响

孙斌栋1,2(), 但波1,2()   

  1. 1. 华东师范大学中国现代城市研究中心,上海 200062
    2. 华东师范大学城市与区域科学学院,上海 200241
  • 收稿日期:2014-11-04 修回日期:2015-05-19 出版日期:2015-10-20 发布日期:2015-11-12
  • 作者简介:

    作者简介:孙斌栋(1970-), 男, 河北阜平人, 博士, 教授, 博士生导师, 中国地理学会会员(S110006693M), 主要研究方向为城市地理、城市规划和区域经济。E-mail: bdsun@re.ecnu.edu.cn

  • 基金资助:
    国家自然科学基金项目(41471139);上海哲学社会科学规划课题(2014BCK003);National Natural Science Foundation of China, No.41471139;Shanghai Social Science Foundation, No.2014BCK003

Impact of urban built environment on residential choice of commuting mode in Shanghai

Bindong SUN1,2(), Bo DAN1,2()   

  1. 1. The Center for Modern Chinese City Studies, East China Normal University, Shanghai 200062, China
    2. School of Urban and Regional Science, East China Normal University, Shanghai 200241, China
  • Received:2014-11-04 Revised:2015-05-19 Online:2015-10-20 Published:2015-11-12

摘要:

伴随中国快速城市化与机动化进程,私人汽车拥有量不断增长,由此引起的交通拥堵和环境问题已成为制约中国城市可持续发展的难题。基于上海市区的居民通勤问卷调查数据,采用多项Logit模型检验了街道尺度城市建成环境对于居民通勤方式选择的影响,结果表明,在控制了其他因素后,提高居住地的人口密度、土地利用混合度与十字路口比重,可以减少小汽车通勤方式的选择,而就业地建成环境对居民通勤方式选择影响相对较弱;建成环境对通勤方式选择的影响会因个体的社会经济异质性而不同。这些结论为通过优化土地利用规划来优化居民通勤结构的城市交通和城市规划政策提供了启示。

关键词: 建成环境, 通勤方式, 小汽车, 多项Logit模型, 上海

Abstract:

With the rapid urbanization and motorization in China, the increasing car ownership promotes the dependence on automobile commuting, and hinders sustainable development and leads to serious traffic congestion and environment pollution as well. Based on the questionnaire survey from the residents in the central city of Shanghai, a multinomial logit model was applied to explore the impact of built environment on residents' commuting mode. It is concluded that the urban built environment has a significant effect on the choice of motorized commuting. Specifically, after limiting other factors, improving population density, mixed land use and the proportion of crossroads in residential areas may help refrain the choice of automobile commuting, while urban built environment of employment areas has less impact on residential choice commuting mode. Besides, the built environment has different impacts on commuting mode choice due to heterogeneity of individual socio-economic characteristics. The policy implication of the research results is that commuting mode could be optimized by improving land use planning and transit environment designing.

Key words: built environment, commuting mode, automobile, multinomial logit model, Shanghai