限定吸引率与容量的停车换乘系统选址研究  

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

作　　者：房德威[1] 何东坡[1] 陈曦[2] 于宏洲[3] 陈科平[4] 

机构地区：[1]东北林业大学土木工程学院,黑龙江哈尔滨150040 [2]东北林业大学理学院,黑龙江哈尔滨150040 [3]东北林业大学林学院,黑龙江哈尔滨150040 [4]哈尔滨理工大学艺术学院,黑龙江哈尔滨150040

出　　处：《哈尔滨工程大学学报》2017年第2期207-214,共8页Journal of Harbin Engineering University

基　　金：中央高校基本科研业务费专项资金项目(DL13BB13);哈尔滨市科技创新人才专项(2015RQQXJ029)

摘　　要：为实现驾车者选择换乘公共交通进入城市中心区,采用p-hub方法对所研究的停车换乘(P&R)系统的用户需求进行理论描述。以出行广义费用作为出行模式决策的量化指标,提出竞争模式下出行者选择P&R设施的概率;以P&R系统的用户需求量最大化为目标,满足预先给定的P&R系统吸引率、设施容量两个约束条件建立空间优化选址模型。通过对模型的理论分析,解决了满足P&R系统吸引率、设施容量以及P&R设施数量最少的多目标优化选址问题。采用启发式聚合集理论构造三步式搜索算法求解非线性整数规划模型。数值实验表明该算法可有效处理P&R系统的选址问题。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,w e propose the decision probability of travelers choo-sing 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 con-centration theory is applied for constructing three-step search algorithm to solve this complex nonlinear integer pro-gramming model. Finally,numerical experiments are performed,the results show that the algorithm can effectively deal with siting P＆R system.

关 键 词：停车换乘 优化选址 选址模型 p-hub方法 启发式聚合集算法 

分 类 号：U412[交通运输工程—道路与铁道工程]