基于家庭属性差异的大学生出行方式选择行为研究

交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (3): 227-232.

基于家庭属性差异的大学生出行方式选择行为研究

骆晨^*1，李想²，钟林峰¹，胡姗姗¹

1. 中国民用航空飞行学院空中交通管理学院，四川德阳 618307； 2.西南交通大学交通运输与物流学院，成都 610031

收稿日期:2019-11-20 修回日期:2020-03-27 出版日期:2020-06-25 发布日期:2020-06-28
作者简介:骆晨(1989-)，男，江西南昌人，讲师，博士.
基金资助:
国家自然科学基金/National Natural Science Foundation of China(61873216)；中国民用航空局民航安全能力项目/ Civil Aviation Safety Capability Program of Civil Aviation Administration of China (AQ0242020)；中国民用航空飞行学院面上项目/Project of China Civil Aviation Flight Academy(J2020-082).

Choice of Travel Mode for College Students Based on Family Attributes

LUO Chen¹, LI Xiang², ZHONG Lin-feng¹, HU Shan-shan¹

1. College of Air Traffic Management, Civil Aviation Flight University of China, Deyang 618307, Sichuan, China; 2. School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China

Received:2019-11-20 Revised:2020-03-27 Online:2020-06-25 Published:2020-06-28

摘要/Abstract

摘要：

为剖析家庭属性差异对大学生出行方式选择行为的影响，基于非集计理论，构建家庭属性差异的大学生出行选择多元Logit 模型. 根据四川省2 571 份大学生出行行为调查问卷，运用SPSS 软件标定模型参数，获取影响大学生出行选择的主要家庭属性因素，并进行敏感性分析. 结果表明：家庭平均年收入、经济净流对大学生出行方式选择有显著的影响；以航空运输为参考，家庭平均年收入、经济净流对公路运输方式选择的影响大于铁路运输；“祖辈替孙辈购买机票”的折扣票务形式可提高大学生选择航空出行的概率.

关键词: 综合交通运输, 出行方式, 非集计理论, 家庭属性, 经济净流

Abstract:

In order to analyze the influence of family attribute differences on college students' travel mode choice behavior, based on the disaggregate theory, a multivariate Logit model is constructed for college students' travel mode choice behavior. Based on the travel behavior surveys from 2 571 college studentsin Sichuan Province, the model parameters are calibrated using SPSS. The main family attribute factors affecting college students' travel choices are obtained, and the sensitivity analysis on the factorsis conducted. The results show that the average annual household income and economic net income have a significant impact on the choice of college students' travel modes. Compared with air transport, the average annual household income and economic net income have a greater impact on the choice of road transport and lower impact on rail transport. The discount ticketing form of grandparent purchasing tickets for their grandchildren can increase the probability that college students choose to travel by air.

Key words: integrated transportation, travel mode, non-aggregate theory, family attribute, economic net flow

中图分类号:

U491

骆晨，李想，钟林峰，胡姗姗. 基于家庭属性差异的大学生出行方式选择行为研究[J]. 交通运输系统工程与信息, 2020, 20(3): 227-232.

LUO Chen, LI Xiang, ZHONG Lin-feng, HU Shan-shan. Choice of Travel Mode for College Students Based on Family Attributes[J]. Journal of Transportation Systems Engineering and Information Technology, 2020, 20(3): 227-232.

导出引用管理器 EndNote|Ris|BibTeX

链接本文: http://www.tseit.org.cn/CN/abstract/abstract20070.shtml

http://www.tseit.org.cn/CN/Y2020/V20/I3/227

参考文献

[1] CATTANEO M, MALIGHETTI P, PALEARI S, et al. The role of the air transport service in interregional long- distance students' mobility in Italy[J]. Transportation Research Part A: Policy and Practice, 2016(93): 66-82.

[2] CHAI J, ZHOU Y, ZHOU X, et al. Analysis on shock effect of China' s high- speed railway on aviation transport[J]. Transportation Research Part A: Policy and Practice, 2018(108): 35-44.

[3] ETMINANI-GHASRODASHTI R, PAYDAR M, HAMIDI S. University- related travel behavior: Young adults' decision-making in Iran[J]. Sustainable Cities and Society, 2018(43): 495-508.

[4] MANESS M, CIRILLO C, DUGUNDJI E R. Generalized behavioral framework for choice models of social influence: Behavioral and data concerns in travel behavior[J]. Journal of Transport Geography, 2015(46): 137-150.

[5] NGUYEN-PHUOC D Q, AMOH-GYIMAH R, TRAN A T P, et al. Mode choice among university students to school in Danang, Vietnam[J]. Travel Behaviour and Society, 2018(13): 1-10.

[6] HASNINE M S, LIN T Y, WEISS A, et al. Determinants of travel mode choices of post-secondary students in a large metropolitan area: The case of the city of Toronto [J]. Journal of Transport Geography, 2018(70): 161-171.

[7] 玛依拉, 艾则孜, 林强, 等. 基于家庭结构差异的学生出行方式选择行为[J]. 长安大学学报(自然科学版), 2017,16(6): 113- 120. [MA Y L, AI Z Z, LI Q, et al. Behavior of students' travel mode choice based on family structure difference[J] . Journal of Chang'an University (Natural Science Edition), 2017, 16(6): 113- 120.]

[8] GISLE S, THOR-ERIK S H. Importance of aviation in higher education[J]. Journal of Air Transport Management, 2018(72): 47-55.

[9] LEE D, MCLANAHAN S. Family structure transitions and child development: Instability, selection, and population heterogeneity[J]. American Sociological Review, 2015, 80(4): 738-763.

[10] MARTÍNEZ-PAMPLIEGA A, CORMENZANA S, CORRAL S, et al. Family structure, interparental conflict & adolescent symptomatology[J]. Journal of Family Studies, 2019, 8(4): 1-16.

[11] THRANE C. Students' summer tourism: Determinants of length of stay (LOS) [J]. Tourism Management, 2016(54): 178-184.

[12] AREBA E M, EISENBERG M E, MCMORRIS B J. Relationships between family structure, adolescent health status and substance use: Does ethnicity matter? [J]. Journal of Community Psychology, 2018, 46(1): 44- 57.

[13] 刘建荣, 郝小妮. 考虑环保意识的低碳出行行为研究 [J]. 交通运输系统工程与信息, 2019, 19(1): 26-32. [LIU J R, HAO X N. Incorporating environmental consciousness into low-carbon traveling behavior[J]. Journal of Transportation Systems Engineering and Information Technology, 2019, 19(1): 26-32.]

[1]	张小雨, 邵春福, 王博彬, 黄士琛. 新冠疫情影响下居民共享出行方式选择行为研究[J]. 交通运输系统工程与信息, 2022, 22(2): 186-196.
[2]	吴群琪，王佳彬，王睿，孙启鹏. 基于出行剩余理论的运输方式选择研究[J]. 交通运输系统工程与信息, 2021, 21(1): 2-7.
[3]	骆晨，董青，姚擎，张海荣，王倩茹. 突发公共卫生事件持续期居民中长距离出行方式选择行为研究[J]. 交通运输系统工程与信息, 2020, 20(6): 57-62.
[4]	左大杰，肖国胜，王孟云. 产业转移背景下西部运输需求的完全分解模型[J]. 交通运输系统工程与信息, 2020, 20(5): 15-20.
[5]	冯涛，彭其渊，陶思宇，陈昕梅. 站城融合模式下既有铁路车站城市功能开发体量预测研究[J]. 交通运输系统工程与信息, 2020, 20(5): 21-28.
[6]	叶菲菲，杨隆浩，王应明，蓝以信. 基于数据包络分析和扩展置信规则库的交通运输业环境治理成本预测[J]. 交通运输系统工程与信息, 2020, 20(3): 20-27.
[7]	周晓晔，崔瑶，何亮，马小云，王思聪. 基于地铁—货车联运的物流配送路径优化[J]. 交通运输系统工程与信息, 2020, 20(3): 111-117.
[8]	诸立超，刘昭然. 托运人在不同时空下的选择行为差异揭示[J]. 交通运输系统工程与信息, 2020, 20(1): 27-32.
[9]	姚荣涵，梁亚林，刘锴，赵胜川，杨澜. 考虑合乘的共享自动驾驶汽车选择行为实证分析[J]. 交通运输系统工程与信息, 2020, 20(1): 228-233.
[10]	项昀，徐铖铖，于维杰，华雪东，王炜. 基于人口迁徙大数据的城市对外交通客运方式优势出行距离研究[J]. 交通运输系统工程与信息, 2020, 20(1): 241-246.
[11]	申婵，崔洪军. 基于可靠性最短路的实时定制公交线路优化研究[J]. 交通运输系统工程与信息, 2019, 19(6): 99-104.
[12]	莫杨辉，张培林，谢羽盟. 新型城镇化与综合交通发展的互动关系计量研究[J]. 交通运输系统工程与信息, 2019, 19(5): 13-19.
[13]	卞骞，宋丽英，毛保华，姜秀山. 基于市场进入博弈的高速铁路与航空竞争分析[J]. 交通运输系统工程与信息, 2019, 19(5): 20-27.
[14]	刘建荣，郝小妮. 基于随机系数Logit 模型的市内出行方式选择行为研究[J]. 交通运输系统工程与信息, 2019, 19(5): 108-113.
[15]	李珺，杨斌，朱小林. 混合不确定条件下绿色多式联运路径优化[J]. 交通运输系统工程与信息, 2019, 19(4): 13-19.