交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (1): 124-129.

• 系统工程理论与方法 • 上一篇    下一篇

到达车站的步行时间对老年人公交选择的影响

刘建荣*,郝小妮   

  1. 华南理工大学土木与交通学院,广州 510640
  • 收稿日期:2019-09-23 修回日期:2019-11-17 出版日期:2020-02-25 发布日期:2020-03-02
  • 作者简介:刘建荣(1984-),男,江西赣州人,讲师,博士.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(51578247).

Effect of Bus Stop Walking Time on Elderly's Bus Choice

LIU Jian-rong, HAO Xiao-ni   

  1. School of Civil Engineering and Transportation, South China University of Technology, Guangzhou 510640, China
  • Received:2019-09-23 Revised:2019-11-17 Online:2020-02-25 Published:2020-03-02

摘要:

公共交通是老年人重要的出行方式,到达车站的步行时间是公交服务质量的重要组成部分. 以出发地到车站的步行时间表征车站可达性,基于陈述性偏好调查数据,利用随机系数Logit 模型研究步行时间对老年人公交选择行为的影响. 研究表明:随机系数Logit 模型比传统的多元Logit 模型具有更高的拟合度. 随机系数Logit 模型的效用函数中,车内时间系数为非随机变量,步行时间系数为随机变量;性别、年龄、是否拥有电动车、教育程度、月收入是否大于3 000 元、是否经常使用公交等个人统计学属性,以及老年人对身体状况的主观感知、老年人对体育活动的态度等心理因素,对老年人步行时间价值具有显著影响.

关键词: 城市交通, 步行时间, 随机系数Logit模型, 老年人, 个人统计学特征, 心理因素

Abstract:

Public transportation is an important way for the elderly to travel, and walking time to the station is an important part of the quality of public transport services. Taking walking time from the origin to the bus station, and based on the stated preference data, this paper analyzed the impact of walking time on the elderly's bus choice behavior with the random parameters Logit model. Through analysis, it was found that the random parameters Logit model fitting the data much better than the multinomial Logit model. The parameter of in-vehicle time was non- random, while the parameter of walking time was random. Furthermore, the elderly's demographic characteristics including gender, age, motorcar ownership, education, monthly income (greater than 3 000 yuan or not), had a significant impact on the parameter of walking time. So did the latent psychological factors, such as psychological factors towards physical activity, perceived physical functioning.

Key words: urban traffic, walking time, random parameters Logit model, elderly, demographic characteristics, psychological factor

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