Optimal location of a park-and-ride system under capture rate and capacity constraints

被引：0
作者：
Fang D. [1 ]
He D. [1 ]
Chen X. [2 ]
Yu H. [3 ]
Chen K. [4 ]
机构：
[1] School of Civil Engineering, Northeast Forestry University, Harbin
[2] School of Science, Northeast Forestry University, Harbin
[3] School of Forestry, Northeast Forestry University, Harbin
[4] Academy of Art, Harbin University of Science and Technology, Harbin
来源：
Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2017年 / 38卷 / 02期
关键词：
Heuristic concentration; Location optimization; Model of location; P-hub approach; Park-and-ride;
D O I：
10.11990/jheu.201610038
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
In order to encourage travelers by private cars to transfer railway transportation mode into downtown, in this paper we first introduce p-hub approach to study user demand of the park-and-ride (P&R) systems. Then, using the generalized cost of travel as quantitative indicators, we propose the decision probability of travelers choosing between competitive alternative P&R facilities and the car only mode. Considering capture rate of P&R system and capacity of P&R facility as the constraints, location optimization model was established to maximize the users demand. Through theoretical analysis of the optimal model, the paper solves multi-objective optimization problem which meets system capture rate and facilities capacity and minimize the number of P&R facilities. Heuristic concentration theory is applied for constructing three-step search algorithm to solve this complex nonlinear integer programming model. Finally, numerical experiments are performed, the results show that the algorithm can effectively deal with siting P&R system. © 2017, Editorial Department of Journal of HEU. All right reserved.
引用
收藏
页码：207 / 214
页数：7
相关论文
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