交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (2): 220-225.

• 案例分析 • 上一篇    下一篇

通勤者非工作活动选择行为研究

鲜于建川*1,2,隽志才1   

  1. 1.上海交通大学安泰经济与管理学院,上海200052;2.上海电机学院商学院,上海201306
  • 收稿日期:2013-08-05 修回日期:2013-10-23 出版日期:2014-04-25 发布日期:2014-07-07
  • 作者简介:鲜于建川(1976-),女,博士,博士后研究人员.
  • 基金资助:

    国家自然科学基金资助项目(51008190);中国博士后科学基金(2012M520904; 2013T60452);上海电机学 院重点学科建设项目资助(10XKJ01).

Non-Work Stop-Making Behavior of Commuters

XIANYU Jian-chuan 1,2 , JUAN Zhi-cai 1   

  1. 1. Antai College of Economics and Management, Shanghai Jiaotong University, Shanghai200052, China; 2. Business School, Shanghai Dian Ji University, Shanghai201306, China
  • Received:2013-08-05 Revised:2013-10-23 Online:2014-04-25 Published:2014-07-07

摘要:

早晚高峰时段非工作出行需求的增加,加剧了城市交通拥堵.本文采用基于活动 的方法分析了通勤者非工作活动选择行为.研究以某直辖市居民出行调查数据为基础,将 非工作活动发生时段数据作为截取样本,建立了通勤者非工作活动参与及活动时段安排 的Censored Probit模型.从通勤者是否选择非工作活动和是否将非工作活动安排在上下 班途中两个方面,讨论了通勤者非工作活动安排与通勤者及其家庭社会经济属性、非工 作活动和通勤出行特征之间的关系.研究表明,出行者社会经济属性、交通系统属性、工作 安排和通勤出行方式都是重要影响因素,所建立的模型能有效分析上述因素的变化对通 勤者非工作活动选择行为的影响.本研究对交通需求预测和管理工作有重要意义.

关键词: 系统工程, Censored Probit模型, 非工作活动选择, 通勤者, 通勤出行, 基于活动 的方法

Abstract:

Commuters often introduce non-work activities to the basic home-work-home trip chain because of the temporal-spatial constraints from work activity. This commute trip chaining behavior may explain the rise in non-work trips occurring in peak periods and is posited as one reason for increased congestion problem in peak periods. Therefore, this paper focuses on commuters’decision of non-work activity participation and timing. Taking non-work stop-making data as a censored sample, a Censored Probit model is established based on the data from a household travel survey of a municipal city. The results provide useful insights into the effects of individual/household socio- demographics, transportation measures, work schedule and mode choice on commuters’non-work stop making propensity in a highly urbanized environment. It also has important applications for predicting the changes in commuters’non-work stop-making behavior as a result of the changes in socio-demographics and transportation scenarios.

Key words: systems engineering, Censored Probit model, non- work stop- making, commuter, commute trip, activity-based method

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