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Title: Investigating Impact of Crowdsourcing on Mode-Shift Behavior of College Students
Accession Number: 01658659
Record Type: Component
Abstract: This paper deals with the impact of crowdsourcing on mode-shift behavior of university students. Students from California State University, Long Beach, were the participants in this study. The participants were selected based on the criteria that they arrived at the campus at least once on a weekday, owned or could use a smartphone, and had access to public transport, walk, bike, or carpool to reach the campus. To assess the mode-shift behavior, a two-phase study (Phase I and II) was performed spanning over two-month period. During Phase I, a control was created by acquiring the mode choice of participants through emails. Phase II involved anonymous and collective participation in using “Twitter” to express mode choice and views on mode choice to reach the college campus. Comparing results of Phase II with Phase I, it was observed that there was an overall shift of almost 13% of private car users and 0.2% of bus transit users to other modes, such as bike, walk and carpool. The mode shift increase was almost 2% for walking and 11% for carpool from Phase I to II, with almost no change in mode shift for bicycling. Genderwise, female students had a higher percentage shift from cars to other modes as compared to male students. Majority of the mode shift occurred towards walking for both males and females. The results show very important policy implications utilizing crowdsourcing to influence mode choice behavior among college students and young adults.
Supplemental Notes: This paper was sponsored by TRB committee ANF10 Standing Committee on Pedestrians.
Report/Paper Numbers: 18-03871
Language: English
Authors: Iniguez, LilianaJimenez, JoseChandra, ShaileshPagination: 12p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: References; Tables
TRT Terms: Identifier Terms: Geographic Terms: Subject Areas: Data and Information Technology; Planning and Forecasting; Transportation (General)
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-03871
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 10:58AM
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