基于时空棱柱方法的目的地选择行为建模

›› 2012, Vol. ›› Issue (03): 612-617.

基于时空棱柱方法的目的地选择行为建模

吴文静¹, 隽志才^1,2, 孙宝凤¹

1. 吉林大学交通学院, 长春 130022;
2. 上海交通大学安泰经济与管理学院, 上海 200240

收稿日期:2011-04-25 出版日期:2012-05-01
通讯作者: 孙宝凤(1970-),女,教授,博士生导师.研究方向:物流系统仿真.E-mail:sunbf@jlu.edu.cn E-mail:sunbf@jlu.edu.cn
基金资助:
国家自然科学基金青年项目(70901032);吉林省科技发展计划项目(201201058).

Destination choice behavior modeling based on space-time prism method

WU Wen-jing¹, JUAN Zhi-cai^1,2, SUN Bao-feng¹

1. Transportation College of Jilin University, Changchun 130022, China;
2. Antai College of Economics and Management, Shanghai Jiaotong University, Shanghai 200240, China

Received:2011-04-25 Online:2012-05-01

摘要/Abstract

摘要： 基于时空棱柱方法,将人的活动区域限制在一定的时空棱柱体内,根据出行者的活动计划,确定在一定时间限制下活动场所在空间上的可达性。提出了目的地选择行为分层的建模策略。引入小区吸引力因子,构建了非线性效用函数的目的地选择行为模型,探讨了小区吸引力因子的量化过程、参数标定及结果检验。结果表明:结合出行的时空约束和地理信息系统(Geographic information system,GIS)分析能够确定出行者的目的地选择集合。具有小区吸引力因子的非线性效用函数能够更准确地预测目的地选择行为。本文研究将出行理论与出行者的实际行为相结合,为目的地选择行为的建模提供了一种新思路。

关键词: 交通运输系统工程, 时空棱柱方法, 小区吸引力, 目的地选择, 非集计

Abstract: Based on the space-time prism method, the traveller activity space was limited in a definite space-time prism, the accessibility of activity zone in space was defined under time constraints according to the activity plan of the traveller. A 2-step modeling strategy was proposed for the destination choice behavior. An attracting ratio of the zone was introduced, and a destination choice behavior model with a non-liner utility function was built, and the quantification process, the parameter calibration and the result check of the zone attracting ratio were discussed. The results showed that the destination choice set can be defined by the time-space constraints of the travel in combination with the GPS technology. The non-linear utility function with the zone attracting ratio can predict the destination choice behavior more accurately. The conbination of the theory and the real behavior of the traveller provides a new idea for modeling of the destination choice behavior.

Key words: engineering of communications and transportation system, space-time prism method, zone attracting ratio, destination choice behavior, disaggregate

中图分类号:

U491

吴文静, 隽志才, 孙宝凤. 基于时空棱柱方法的目的地选择行为建模 [J]. , 2012, (03): 612-617.

WU Wen-jing, JUAN Zhi-cai, SUN Bao-feng. Destination choice behavior modeling based on space-time prism method[J]. , 2012, (03): 612-617.

参考文献

[1] 宗芳,隽志才. 基于活动的出行方式选择模型与交通需求管理策略［J］. 吉林大学学报:工学版,2007,37(1):48-53. Zong Fang, Juan Zhi-cai. Activity-based travel mode choice model and analysis on traffic demand management［J］. Journal of Jilin University(Engineering and Technology Edition), 2007,37(1):48-53.
[2] Pozsgay M A, Bhat C R. Destination choice modeling for home-based recreational trips: analysis and implications for land-use, transportation, and air quality planning［J］.Transportation Research Record, 2002, 1777:47-54.
[3] Li M T, Chow L F, Zhao F, et al. Application of geographically stratified importance sampling in the calibration of aggregated destination choice models for trip distribution［C］//Transportation Research Board, National Research Council, Washington DC, 2005:85-92.
[4] 柴彦威,沈洁. 基于活动分析法的人类空间行为研究［J］. 地理科学,2008,28(5):594-599. Chai Yan-wei, Shen Jie. Activity-based approach to human spatial behavior research［J］. Geography Science,2008, 28(5):594-599.
[5] Hägerstrand T. What about people in regional science［J］. Papers of the Regional Science Association,1970,24(1):6-21.
[6] Miller H, Shaw S L. Geographic Information Systems for Transportation: Principles and Applications［M］. New York: Oxford University Press,2001:125-126.
[7] Kim H M,Kwan M P. Space-time accessibility measures: a geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration［J］. Journal of Geographical Systems,2003,5(1):71-91.
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