[1] Wu Jiaorong, Wang Chen, Chen Fei, Chen Xiaohong, et al. Investigation on transformation process of trip mode choicefor planned special events [J]. Journal of Southeast University (English Edition), 2013, 29 (2): 199-206. [doi:10.3969/j.issn.1003-7985.2013.02.016]

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Investigation on transformation process of trip mode choicefor planned special events()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

29

Issue:

2013 2

Page:

199-206

Research Field:

Traffic and Transportation Engineering

Publishing date:

2013-06-20

Info

Title:

Investigation on transformation process of trip mode choicefor planned special events

Author(s):

Wu Jiaorong;  Wang Chen;  Chen Fei;  Chen Xiaohong

School of Transportation Engineering, Tongji University, Shanghai 201804, China

Keywords:

planned special events;  trip mode choice;  structural equation model;  objective-oriented stated preference survey

PACS:

U491.1

DOI:

10.3969/j.issn.1003-7985.2013.02.016

Abstract:

This paper aims to provide a decision-making method for the transportation management strategies in guiding the transformation of trip mode choice during planned special events. The Expo 2010 Shanghai is taken as an example, and a structural equation model is employed to analyze the dynamic mechanism of trip mode choice behavior and the effectiveness of the transportation management measures at different stages. Based on the difference between the objective-oriented stated preference(SP)survey results and the objectives, together with the feedback from the previous stage survey, some adjustments on the transportation management measures are made in the next stage of the planning process until the objectives are eventually achieved. The results indicate that the adjustments on transportation management measures at different stages can effectively raise the transit share to 88.6%. Nonlocal visitors are inclined to choose nonstop modes of transportation and the companion attributes have the most significant effects on the trip mode choices of visitors. The research method is proved to be an effective way to support the decision making process of transportation management measures during planned special events in the future.

References:

[1] Federal Highway Administration. Managing travel for planned special events[R]. Washington DC, USA: Department of Transportation, 2003.
[2] Santos G, Behrendt H, Teytelboym A. Part Ⅱ: policy instruments for sustainable road transport [J]. Research in Transportation Economics, 2010, 28(1): 46-91.
[3] Yagi S, Mohammadian A. Policy simulation for new BRT and area pricing alternatives using an opinion survey in Jakarta [J]. Transportation Planning and Technology, 2008, 31(5): 589-612.
[4] Caramia M, Storchi G. Evaluating the effects of parking price and location in multi-modal transportation networks [J]. Network and Heterogeneous Media, 2006, 1(3): 441-465.
[5] Kalmanje S, Kockelman K M. Credit-based congestion pricing-travel, land value, and welfare impacts [J]. Transportation Research Record, 2004, 1864: 45-53.
[6] Mao Baohua, Guo Jinyi, Chen Zhenqi, et al. Research on traffic schemes for special important activities [J]. Journal of Transportation Systems Engineering and Information Technology, 2007, 1(7): 18-24.
[7] Chen Qian, Wang Wei. Application of fuzzy optimization method based on CTM for traffic trunk line control under special events [J]. Journal of Southeast University: Natural Science Edition, 2008, 38(5): 861-865.(in Chinese)
[8] Chen Qian, Li Wenquan. Influence range of emergency under special events based on CTM [J]. Journal of Southeast University: English Edition, 2009, 25(2): 257-261.
[9] Guo Jifu, Sun Zhuangzhi, Yao Guangzheng, et al. Transportation characteristics research of spectators in big events [J]. Journal of Transportation Systems Engineering and Information Technology, 2010, 4(10): 172-178.(in Chinese)
[10] Limtanakool N, Dijst M, Schwanen T. The influence of socioeconomic characteristics, land use and travel time considerations on mode choice for medium- and longer-distance trips[J]. Journal of Transport Geography, 2006, 14(5): 327-341.
[11] Dissanayake D, Morikawa T. Investigating household vehicle ownership, mode choice and trip sharing decisions using a combined revealed preference/stated preference Nested Logit model: case study in Bangkok Metropolitan Region[J]. Journal of Transport Geography, 2010, 18(3): 402-410.
[12] Lee Yuhwa, Hickman M, Washington S. Household type and structure, time-use pattern, and trip-chaining behavior [J]. Transportation Research Part A, 2007, 41(10): 1004-1020.
[13] Walle S V, Steenberghen T. Space and time related determinants of public transport use in trip chains [J]. Transportation Research Part A, 2006, 40(2): 151-162.
[14] Gardner B. Modeling motivation and habit in stable travel mode contexts [J]. Transportation Research Part F, 2009, 12(1): 68-76.
[15] Lee Ju-Yeon, Chung Jin-Hyuk, Son Bongsoo. Analysis of traffic accident size for Korean highway using structural equation models [J]. Accident Analysis and Prevention, 2008, 40(6): 1955-1963.
[16] Golob T F. Structural equation modeling for travel behavior research [J]. Transportation Research Part B, 2003, 37(1): 1-25.
[17] Hensher D A. Influence of vehicle occupancy on the valuation of car driver’s travel time savings: identifying important behavioral segments[J]. Transportation Research Part A, 2008, 42(1): 67-76.

Memo

Memo:

Biography: Wu Jiaorong(1973—), female, doctor, professor, wjrshtj@163.com.
Foundation item: The National Natural Science Foundation of China(No.51278363).
Citation: Wu Jiaorong, Wang Chen, Chen Fei, et al. Investigation on transformation process of trip mode choice for planned special events[J].Journal of Southeast University(English Edition), 2013, 29(2):199-206.[doi:10.3969/j.issn.1003-7985.2013.02.016]

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