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UTAS-Ride: organization-based ridesharing platform for commuters
Citation
Wei, Z and Yeom, S and Ryu, R, UTAS-Ride: organization-based ridesharing platform for commuters, Proceedings of the 2020 Australasian Conference on Information Systems: Navigating Our Digital Future, 1-4 December 2020, Wellington, New Zealand, article 67, pp. 1-7. (2020) [Refereed Conference Paper]
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Copyright Statement
Copyright 2020 Wei, Yeom & Ryu. This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 New Zealand, which permits non-commercial use, distribution, and reproduction in any medium, provided the original author and ACIS are credited.
Official URL: https://aisel.aisnet.org/acis2020/67
Abstract
While commercial ride-sourcing service providers, like Uber, have gained enormous popularity over the last decade, non-commercial and incidental ridesharing is rarely an option for ride seekers. Although incidental ridesharing is beneficial in easing urban congestion and environment, it is not accepted by a number of people due to stranger danger and time delay. Organization-based ridesharing allows coworkers within the same organization to share rides for commuting purposes. The similar commuting time and certain level of acquaintance among co-workers make organization-based ridesharing more acceptable than other forms of ridesharing. Thus, this paper proposes an organizational ridesharing platform called UTAS-Ride for mobile devices. UTAS-Ride allows its users to create a unique carpool for the affiliated organization and share rides with co-workers in the carpool. Functions like user validation and routing are provided to separate different user groups and calculate routes. The platform is an exploration regarding organization-based ridesharing on mobile devices.
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Keywords: | carpooling, travel behavior, organizational model, static ridesharing, human mobility |
| Research Division: | Information and Computing Sciences |
| Research Group: | Applied computing |
| Research Field: | Applied computing not elsewhere classified |
| Objective Division: | Information and Communication Services |
| Objective Group: | Information systems, technologies and services |
| Objective Field: | Application software packages |
| UTAS Author: | Wei, Z (Mr Zhe Wei) |
| UTAS Author: | Yeom, S (Dr Soonja Yeom) |
| UTAS Author: | Ryu, R (Miss Riseul Ryu) |
| ID Code: | 143131 |
| Year Published: | 2020 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2021-03-01 |
| Last Modified: | 2021-07-02 |
| Downloads: | 17 View Download Statistics |
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