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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. (2021) [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:2021
Deposited By:Information and Communication Technology
Deposited On:2021-03-01
Last Modified:2021-04-07
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