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Research on travel behavior of slow traffic based on activity analysis(PDF)

长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2011年02期
Page:
86-90
Research Field:
Publishing date:
2011-04-30

Info

Title:
Research on travel behavior of slow traffic based on activity analysis
Author(s):
LI Cong-ying12 MA Rong-guo1 WANG Zhao-fei2
1. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China; 2. School of Civil Engineering,Xi'an University of Architecture and Technology,Xi'an 710055, Shaanxi, China
Keywords:
traffic engineering slow traffic activity analysis travel behavior Logit model
PACS:
U491.5
DOI:
-
Abstract:
The binary Logit choice model for describing slow travel behavior was put forward based on activity analysis method. According to the characteristic of slow traffic travel mode, the slow traffic travel activities were classified to different types, and the influence factors were ascertained. During calculating the influence factors variable, it was gained that the probability of slow traffic mode choice under different activity types. The result shows that different degree influences to slow traffic activity choice were caused by different factors. Under the condition of elasticity demand and short distance travel activity, slow traffic travel was of great dominance. The model was applied in Weinan city in Shaanxi Province slow traffic travel as an example, and it shows the research on slow traffic travel based on activity analysis is feasible. 4 tabs, 2 figs, 9 refs.

References:

[1] Jim P.A review of bicycle policy and planning developments in western europe and north america[R].Australia:Office of Transport Policy and Planning Government of South,1995:6-9.
[2]Bowman J L,Ben-Akiva M E.Activity based travel demand model system with daily activity schedules[J].Transportation Research:Part A,2001,35(1):1-28.
[3]Reid E.Traffic calming:state of the practice[R].Washington DC:Institute of Transportation Engineers,1999.
[4]Sisiopiku V P,Akin D.Pedestrian behaviors at and perceptions towards various pedestrian facilities [J].Transportation Research:Part F,2003(6):249-274.
[5]隽志才,李志瑶,宗 芳.基于活动链的出行需求预测方法综述[J].公路交通科技,2005(6):108-113. JUAN Zhi-cai,LI Zhi-yao,ZONG Fang.A review of activity-based travel demand forecasting model[J].Journal of Highway and Transportation Research and Development,2005(6):108-113.
[6]李志瑶,隽志才,宗 芳.居民出行时间选择及拥挤收费政策[J].交通运输工程学报,2005,5(3):105-110. LI Zhi-yao,JUAN Zhi-cai,ZONG Fang.Resident travel time choice and congestion pricing policy[J].Journal of Traffic and Transportation Engineering,2005,5(3):105-110.
[7]李 民.基于活动链的居民出行行为分析[D].长春:吉林大学,2004.
[8]刘炳恩,隽志才.居民出行方式选择非集计模型的建立[J].公路交通科技,2008(5):116-120. LIU Bing-en,JUAN Zhi-cai.Development of a multimomial logit model for travel mode choice of residents[J].Journal of Highway and Transportation Research and Development,2008(5):116-120.
[9]宗 芳.基于非集计模型的交通需求管理评价策略研究[D].长春:吉林大学,2008.

Memo

Memo:
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Last Update: 2011-04-30