An arc cover-path-cover formulation and strategic analysis of alternative-fuel station locations

被引:167
作者
Capar, Ismail [1 ]
Kuby, Michael [2 ]
Leon, V. Jorge [3 ,4 ]
Tsai, Yu-Jiun [4 ]
机构
[1] Texas A&M Univ, Ind Distribut Program, College Stn, TX 77843 USA
[2] Arizona State Univ, Sch Geog Sci & Urban Planning, Tempe, AZ 85287 USA
[3] Texas A&M Univ, Dept Engn Technol & Ind Distribut, College Stn, TX 77843 USA
[4] Texas A&M Univ, Dept Ind & Syst Engn, College Stn, TX 77843 USA
关键词
Flow refueling; Alternative-fuel vehicle; Electric vehicle; Fuel station location; Fueling infrastructure; MODEL; FACILITIES; NETWORKS;
D O I
10.1016/j.ejor.2012.11.033
中图分类号
C93 [管理学];
学科分类号
120117 [社会管理工程];
摘要
In this study, we present a new formulation of the generalized flow-refueling location model that takes vehicle range and trips between origin-destination pairs into account. The new formulation, based on covering the arcs that comprise each path, is more computationally efficient than previous formulations or heuristics. Next, we use the new formulation to provide managerial insights for some key concerns of the industry, such as: whether infrastructure deployment should focus on locating clusters of facilities serving independent regions or connecting these regions by network of facilities; what is the impact of uncertainty in the origin-destination demand forecast; whether station locations will remain optimal as higher-range vehicles are introduced; and whether infrastructure developers should be willing to pay more for stations at higher-cost intersections. Experiments with real and random data sets are encouraging for the industry, as optimal locations tend to be robust under various conditions. Published by Elsevier B.V.
引用
收藏
页码:142 / 151
页数:10
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