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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Abstract
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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