Balancing equity and cost in rural transportation management with multi-objective utility analysis and data envelopment analysis: A case of Quinte West

被引:35
作者
Chen, Chialin [1 ]
Achtari, Guyves [2 ]
Majkut, Kevin [3 ]
Sheu, Jiuh-Biing [1 ]
机构
[1] Natl Taiwan Univ, Dept Business Adm, Taipei 106, Taiwan
[2] Queens Univ, Queens Sch Business, Kingston, ON K7L 3N6, Canada
[3] Petrocanada, Suncor, Mississauga, ON L5K 1A8, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Rural transportation; Transport equity; Vehicle routing; Multi-objective decision making; Data envelopment analysis; Geographic information systems; TRAVEL-TIMES; EFFICIENCY; MODELS; ACCESSIBILITY; SYSTEMS; SCALE; DEA;
D O I
10.1016/j.tra.2016.10.015
中图分类号
F [经济];
学科分类号
02 ;
摘要
Rural transportation management plays a critical role in the sustainable future of human society. Two emerging challenges faced by rural communities today are cost control and equity due to the increasing demand and limited operations resources available and the need to deal with the inevitable tradeoffs among multiple objectives and criteria. In this paper, we develop a new methodology for rural transportation management which takes into consideration of both the equity and cost factors under multiple objectives. We conceptualize and define equity in rural transportation management with the development of new performance measures and an analytical model for decision making with multiple desirable and undesirable objectives. We also develop a heuristic procedure based on data envelopment analysis for characterizing and analyzing the route design choices on the frontier between costs and multi-objective measures of equity. A GIS-based decision support system is constructed to process the extensive data required in our analysis. The new methodology has been successfully implemented by Quinte Access, a not-for-profit organization in a rural community in Ontario, to help redesign bus routes with significant quantitative benefits observed in multiple performance dimensions. It is also expected that the new knowledge, insights, and decision support tools developed through this study for transportation planning, big data management, and transportation service operations can be transferred to other rural communities in order to deliver more sustainable transportation services in rural regions around the world. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:148 / 165
页数:18
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