[1]叶茂,于淼,过秀成,等.历史城区居民出行活动模式选择影响因素分析[J].东南大学学报(自然科学版),2014,44(1):211-215.[doi:10.3969/j.issn.1001-0505.2014.01.038]
 Ye Mao,Yu Miao,Guo Xiucheng,et al.Analysis of effects of contributing factors on choice of activity pattern in historic urban areas[J].Journal of Southeast University (Natural Science Edition),2014,44(1):211-215.[doi:10.3969/j.issn.1001-0505.2014.01.038]
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历史城区居民出行活动模式选择影响因素分析()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
44
期数:
2014年第1期
页码:
211-215
栏目:
交通运输工程
出版日期:
2014-01-18

文章信息/Info

Title:
Analysis of effects of contributing factors on choice of activity pattern in historic urban areas
作者:
叶茂1于淼1过秀成2窦雪萍2
1南京理工大学交通工程系, 南京210094; 2东南大学交通学院, 南京210096
Author(s):
Ye Mao1 Yu Miao1 Guo Xiucheng2 Dou Xueping2
1 Department of Transportation, Nanjing University of Science and Technology, Nanjing 210094, China
2 School of Transportation, Southeast University, Nanjing 210096, China
关键词:
历史城区 活动模式 影响因素 多项Logit模型
Keywords:
historic urban area activity pattern contributing factor multinomial Logit model
分类号:
U491.4
DOI:
10.3969/j.issn.1001-0505.2014.01.038
摘要:
探讨了历史城区内居民出行活动模式选择的影响因素,依据扬州市历史城区居民调查数据,将居民出行活动划分为家-工作/学习(内)-家、家-工作/学习(内)-其他-家、家-工作/学习(外)-家、家-工作/学习(外)-其他-家和家-其他-家5种典型模式.采用多项Logit模型分析了5种活动模式的选择与居民个体及家庭属性之间的关系,并探索了不同活动模式下的出行方式选择情况.结果表明,个体出行者的性别、年龄、职业、有无小汽车和家庭电动自行车数量显著影响着出行活动模式的选择,而家庭人口数、有无学龄前儿童、家庭自行车数、有无摩托车及家庭收入对于历史城区居民出行活动模式选择的影响并不显著.
Abstract:
The factors contributing to the residents’ choices of activities in the historic urban areas were investigated. Based on the household survey data conducted in the historic area of Yangzhou, the travel activity was classified into five types including home-work/school(inside)-home(H-W/S(I)-H), home-work/school(inside)-other-home(H-W/S(I)-O-H), home-work/school(external)-home(H-W/S(E)-H),home-work/school(external)-other-home(H-W/S(E)-O-H)and home-other-home(H-O-H). The multinomial Logit model was developed to explore the relationship between the choice of five types of activities and the individual and household attributes. The mode choices under different activity patterns were analyzed. The results show that the effects of individual travelers’ gender, age, occupation, car ownership, and the number of electric bikes in the household on the choice of activity patterns are significant. Contrarily, the influences of the household population, preschoolers, the number of conventional bikes in the household, motorcycle ownership, and income on the choice of activities are unobvious.

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备注/Memo

备注/Memo:
收稿日期: 2013-06-15.
作者简介: 叶茂(1982—),男,博士,讲师,yemao0924@163.com.
基金项目: 国家自然科学基金资助项目(51208256,51008060)、住房和城乡建设部科技资助项目(2012-K5-13).
引用本文: 叶茂,于淼,过秀成,等.历史城区居民出行活动模式选择影响因素分析[J].东南大学学报:自然科学版,2014,44(1):211-215. [doi:10.3969/j.issn.1001-0505.2014.01.038]
更新日期/Last Update: 2014-01-20