华沙停车转乘停车场的分布问题

J. Stanczak, A. Barski, Krzysztof Sep, J. Owsinski
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引用次数: 0

摘要

城市群的发展带来了新的问题需要解决。其中之一是过度的道路交通和相关的空气污染。繁忙的交通造成拥堵,从而增加了污染水平,因为空气污染最重要的来源之一是汽车尾气。众所周知,公共交通比私人交通产生更少的污染。基于这一事实,停车换乘(P&R或P+R)的概念应运而生,通勤者开车前往城市的边界,然后从那里乘坐公共交通工具继续他们的旅程。在这项工作中,我们将专注于寻找P&R点的最佳定位。我们的方法由两个步骤组成。在第一步中,选择一些可以定位P&R的通信枢纽(可行性分析)。在第二步中,选择枢纽的一个子集来实际建立P&R点(通勤者的便利性分析)。在第一步,我们利用轮辐法的一些方面,应用一种专门的进化算法来解决P&R定位问题。由于第二步的问题比较小,我们建议由专家来解决。
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The Problem of Distribution of Park-and-Ride Car Parks in Warsaw
The development of cities and agglomerations brings new problems to be solved. One of them is the excessive road traffic and the related air pollution. Heavy traffic causes congestions and thus increases the pollution level, because one of the most significant sources of air pollution are car exhaust gases. It is known that the public transport produces less pollution per one passenger then the private one. On the basis of this fact the idea of the Park-and-Ride (P&R or P+R) was developed, where commuters travel to the borders of the city by their cars and from there they continue their trip by public transportation. In this work, we will concentrate on finding the best localizations for P&R points. Our approach is composed of two steps. In the first step, a number of communication hubs is selected where P&R can be located (feasibility analysis). In the second step a subset of hubs is chosen to actually have P&R points built (commuters' convenience analysis). We solve the P&R location problem on the first step using some aspects of the Hub and Spoke method by applying a specialized evolutionary algorithm. As the problem of the second step is rather small, we propose to have it solved by experts.
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来源期刊
International Journal of Information and Management Sciences
International Journal of Information and Management Sciences Engineering-Industrial and Manufacturing Engineering
CiteScore
0.90
自引率
0.00%
发文量
0
期刊介绍: - Information Management - Management Sciences - Operation Research - Decision Theory - System Theory - Statistics - Business Administration - Finance - Numerical computations - Statistical simulations - Decision support system - Expert system - Knowledge-based systems - Artificial intelligence
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