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Analysis of travel time and mode choice shift for non-work stops in commuting: case study of Beijing, China

机译：非工作站点上班时间和出行方式转换的分析：以北京为例

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摘要

This paper investigates travel time attributed to non-work stops in multi-purpose commuting trips. Travel time is explained by socio-demographics and spatial attributes, mode shift is also included to analyze the extra travel time, and its trade-off with activity time for four types of non-work stops-eating out, shopping, leisure/social activities, and family/personal/other. Data come from the "Daily Activity and Travel Survey of Beijing 2012". Descriptive analysis shows that almost 20% of the multi-purpose commuting trips include a mode shift toward a more motorized transport mode than their direct counterparts. Regression results indicate that extra travel time due to detours is significantly related to the activity durations. Regardless of the activity type, longer work duration reduces the travel time. Furthermore, the interaction terms between personal/trip/spatial factors and activities durations show the impacts differ across the activity types. Gender difference is found only for eating out, which suggests that male commuters travel longer for the same amount of activity time. Concerning spatial factors, a greater mix of facilities near workplaces helps to reduce the extra travel time invested for a time unit of shopping and family/personal/other activities. Compared with public transit users, active mode users have shorter travel time for eating out. Timing, work duration and commuting duration as time-budget-related variables show negative impacts on the extra travel time for eating-out, shopping and family/personal/other activities. However, mode shift does not show any significant impact as the hypothesis proposed. Instead of rebalancing the trade-off between travel and activity time, commuters may relocate activity with an expanded opportunity choice set given by a higher mobility level.
机译：本文研究了在多功能通勤旅行中归因于非工作停留的旅行时间。出行时间通过社会人口统计学和空间属性来解释，还包括模式转换以分析额外的出行时间，以及它与活动时间之间的权衡关系，用于四种类型的非工作停顿，外出就餐，购物，休闲/社交活动，以及家庭/个人/其他人。数据来自“北京2012年日常活动和旅行调查”。描述性分析表明，近20％的多功能通勤旅行包括比直接乘车更偏向机动化的交通方式。回归结果表明，由于绕行而产生的额外旅行时间与活动时间长短有很大关系。无论哪种活动，更长的工作时间都会减少旅行时间。此外，个人/旅行/空间因素与活动持续时间之间的交互作用项表明，影响因活动类型而异。仅在外出就餐时发现性别差异，这表明男性通勤者在相同的活动时间下旅行时间更长。关于空间因素，工作场所附近设施的更多组合有助于减少购物和家庭/个人/其他活动的时间单位所花费的额外旅行时间。与公共交通用户相比，主动模式用户的外出就餐时间更短。时间，工作时间和通勤时间是与时间预算相关的变量，对外出就餐，购物和家庭/个人/其他活动的额外旅行时间有负面影响。但是，模式转移并未显示出如假设所提出的任何重大影响。通勤者可以通过更高的机动性水平赋予扩大的机会选择集来重新定位活动，而不是在旅行和活动时间之间权衡取舍。

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  • 来源
    《Transportation》 |2018年第3期|751-766|共16页
  • 作者

    Mao Zidan; Ettema Dick; Dijst Martin;

  • 作者单位

    Univ Utrecht, Fac Geosci, Dept Human Geog & Spatial Planning, NL-3508 TC Utrecht, Netherlands;

    Univ Utrecht, Fac Geosci, Dept Human Geog & Spatial Planning, NL-3508 TC Utrecht, Netherlands;

    Univ Utrecht, Fac Geosci, Dept Human Geog & Spatial Planning, NL-3508 TC Utrecht, Netherlands;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Commuting; Non-work stops; Travel time; Mode shift; Travel time price; Beijing;

    机译：通勤;非工作地点;出行时间;模式转换;出行时间价格;北京;

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