Observing the Characteristics of Multi-Activity Trip Chain and Its Influencing Mechanism
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pISSN 1226-7988, eISSN 1976-3808 www.springer.com/12205
DOI 10.1007/s12205-020-1927-8
Transportation Engineering
Observing the Characteristics of Multi-Activity Trip Chain and Its Influencing Mechanism Linbo Li
a
, Mengfei Cao
a
, Jiajun Yina, Yanli Wang
a
, and Sabyasachee Mishra
b
a
Key Laboratory of Road and Traffic Engineering of Ministry of Education, College of Transportation Engineering, Tongji University, Shanghai 201804, China Dept. of Civil Engineering, University of Memphis, Memphis, TN 38152, USA
b
ARTICLE HISTORY
ABSTRACT
Received 23 October 2019 Revised 16 March 2020 Accepted 3 June 2020 Published Online 28 August 2020
Understanding mechanism of daily activity trip chain especially multi-activity trip chain is significant for travel demand management and urban redevelopment. This paper explores the multi-activity trip chain behavior from both individual attributes and spatial attributes. Multiactivity trip chain is identified from people’s full-day travel diaries, then categorized into multiactivity intermittent trip chain and continuous trip chain to distinguish the characteristics and influencing factors of different chains. Using resident travel survey data of Xiaoshan District of Hangzhou, China, multinomial logistic regression model, transition probability matrix and activity analysis methods are employed to make analyses. Findings include: 1) making multiactivity trip chain can achieve multiple purposes with less average travel time for each purpose, but public transit is less used. 2) The choices of single or multi-activity trip chain and multi-activity intermittent or continuous trip chain are mainly affected by different individual attributes such as occupation, education, household income, etc. Moreover, household registration, driver’s license, gender, and household car ownership are related to the choice of activity sequence. 3) For typical trip chain with purposes of work, shopping/dining, and home, activity sequence is also obviously influenced by spatial distance between origin and destination, especially for the chain of work-shopping/dining-home.
KEYWORDS Activity trip chain Activity sequence Activity trip chain choice Individual socio-economic attributes Spatial attributes
1. Introduction With the development of society and economy, daily activities of residents have become more diversified and decentralized, and there is more traffic congestion, especially in large cities. Increasing the market share of public transit and implementing traffic demand management have been recognized as important ways of alleviating traffic congestion coupled with optimized land use pattern and transit-oriented development (Ratner and Goetz, 2013). Thus, understanding residents’ daily activity travel behaviors is helpful for the integration of transport planning and urban planning to alleviate traffic congestion. In general, residents schedule one or more activities every day, which are distributed in different places. A series of movements between successive destinations during a da
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