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首页> 外文期刊>Promet-traffic & transportation >NIVESTIGATING COMMUTING TIME PATTERNS OF RESIDENTS LIVING IN AFFORDABLE HOUSING: A CASE STUDY IN NANJING, CHINA
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NIVESTIGATING COMMUTING TIME PATTERNS OF RESIDENTS LIVING IN AFFORDABLE HOUSING: A CASE STUDY IN NANJING, CHINA

机译：生活在负担得起的房屋中的居民的通勤时间模式：以南京为例

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摘要

The phenomenon of affordable housing emerges in Chi-nese cities to meet low-income residents' living needs in the city. Because affordable housing projects tend to be located far away from the city centre, their residents tend to face long commuting times to go to work. Although several studies have analysed commuting travel times, none have considered the commuting pattern of residents living in these affordable housing projects. This study employs a decision tree classifier to examine the commuting time patterns of affordable housing residents, fusing the data from the 2010 Nanjing Household Travel Survey and supplementary data collected through Google maps. Results show that attributes of the built environment and distance to work are the factors mostly influencing commuting time patterns of affordable housing residents in Nanjing. The availability of a subway service, job type, household car ownership, job location, travel mode choice, and departure time have logical but varying effects on commuting trip duration. These results provide a better understanding of these residents' commuting patterns and provide urban planners insights about the effects of their affordable housing policies on travel behaviour.
机译：经济适用房现象在中国城市中出现，以满足城市中低收入居民的生活需求。由于经济适用房项目往往位于远离市中心的地方，因此他们的居民往往要面临较长的通勤时间才能上班。尽管有几项研究分析了通勤的出行时间，但没有人考虑过居住在这些经济适用房项目中的居民的通勤模式。本研究采用决策树分类器，将2010年南京家庭出行调查的数据与通过Google地图收集的补充数据进行了比较，研究了经济适用房居民的通勤时间模式。结果表明，建筑环境和工作距离的属性是影响南京经济适用房居民通勤时间模式的主要因素。地铁服务的可用性，工作类型，家用汽车的所有权，工作地点，出行方式的选择和出发时间对通勤旅行持续时间有逻辑但变化的影响。这些结果可以更好地了解这些居民的通勤模式，并为城市规划者提供有关其负担得起的住房政策对出行行为影响的见解。

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  • 来源
    《Promet-traffic & transportation》 |2019年第4期|423-433|共11页
  • 作者

    JINGXIAN WU; MIN YANG; SOORA RASOULI; LONG CHENG;

  • 作者单位

    Department of Transportation Engineering University of Shanghai for Science and Technology Jungong Road #516 Shanghai 200093 P. R. China;

    School of Transportation Jiangsu Key Laboratory of Urban ITS Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies Southeast University Road of Southeast University 2 Nanjing 211189 P. R. China;

    Urban Planning Group Eindhoven University of Technology PO Box 513 5600 MB Eindhoven The Netherlands;

    Geography Department Ghent University Krijgslaan 281 S8 B-9000 Ghent Belgium;

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  • 原文格式 PDF
  • 正文语种 eng
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  • 关键词

    affordable housing; travel behaviour; trip time duration; decision tree classifier; built environment;

    机译：负担得起的房子;旅行行为;行程时间;决策树分类器;建设环境;

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