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Title: Capturing the Interdependencies Between Bicycle Usage and Activity Patterns: Case Study of Bengbu, China
Accession Number: 01365985
Record Type: Component
Abstract: The choice of bicycle as the travel mode is closely associated with the pattern of daily travel activity. However, it is unclear whether the usage of bicycle is determined by the activity pattern or the choice of bicycle is prior to the planning of an activity. This study aims to investigate the interdependency between bicycle usage and activity patterns, and capture the decision order between them. To achieve the research objective, data was extracted from the household travel survey in urban area of Bengbu, China. The co-evolutionary approach combined with multinomial logit (MNL) model was used to capture the interrelationship between bicycle usage and activity patterns. The analytical procedure included five steps: sort of bicycle usage and activity patterns, statistical analysis, MNL model specification, co-evolutionary modeling process and the final model evaluation. It turned out that on average 4.25 cycles were needed to reach a final decision for both bicycle usage and activity pattern choice facets. The higher number of iterations implied the interactions in the order of the two choice facets. The model estimation results showed that in the majority of the cases, activity pattern is made in prior to mode choice. In other words, travelers made the decision on bicycling or not according to the pattern of their daily activities. Furthermore, this study also found that the patterns of subsistence activities had larger impacts on the choice of bicycle compared to the maintenance and recreational activities. The findings of this study can help better understand travelers' determination on bicycle choice and make policies to promote the use of bicycle.
Monograph Title: Monograph Accession #: 01362476
Report/Paper Numbers: 12-2224
Language: English
Corporate Authors: Transportation Research Board 500 Fifth Street, NW Authors: Jiang, GuojunYuan, ZhenzhouYang, ChenLi, ZhibinPagination: 18p
Publication Date: 2012
Conference:
Transportation Research Board 91st Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; References; Tables
TRT Terms: Geographic Terms: Subject Areas: Pedestrians and Bicyclists; Planning and Forecasting; I72: Traffic and Transport Planning
Source Data: Transportation Research Board Annual Meeting 2012 Paper #12-2224
Files: TRIS, TRB
Created Date: Feb 8 2012 5:08PM
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