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Crowdsourcing for Mode Shift: An Empirical Evidence of its Success among College Students

Chandra, S and Naik, RT and Jimenez, J (2020) Crowdsourcing for Mode Shift: An Empirical Evidence of its Success among College Students. In: 2019 World Conference Transport Research, 26-31 May 2019, Indian Institute of Technology Mumbai, pp. 1430-1434.

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Official URL: https://dx.doi.org/10.1016/j.trpro.2020.08.173


In this paper, a crowdsourcing-based perception framework is developed to estimate any changes in mode-shift behavior of college students. An empirical experiment was conducted with a sample of 30 participants from California State University, Long Beach, spanning over two phases, Phase I followed by Phase II. Participants used one of the five modes transit bus, bicycling, walking, car and carpool to arrive at the university campus. During Phase I, a control was created by individually acquiring the mode choice of participants and their numeric value of perception of each specific mode with the identity of a participant being kept anonymous to other participants throughout this research. The participants in Phase II were asked to post their comments publicly anonymously on modes on a "Twitter" address used for this study each time they arrived at the campus, thus utilizing a crowdsourcing platform to observe mode choice of other participants without knowing their identity. Data compilation showed an overall shift of users from private car to other modes of transportation.

Item Type: Conference Paper
Publication: Transportation Research Procedia
Publisher: Elsevier B.V.
Additional Information: cited By 0; Conference of 2019 World Conference Transport Research, WCTR 2019 ; Conference Date: 26 May 2019 Through 31 May 2019; Conference Code:163033
Keywords: Crowdsourcing, perception, bicycling, carpool mode choice parking
Department/Centre: Division of Mechanical Sciences > Mechanical Engineering
Date Deposited: 18 Nov 2020 05:25
Last Modified: 18 Nov 2020 05:25
URI: http://eprints.iisc.ac.in/id/eprint/66939

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