基于人行道的自行车道网络设计兼顾骑行时间的公平性

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yutong Cai, Ghim Ping Ong, Qiang Meng
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引用次数: 0

摘要

许多城市发现很难获得足够的土地来修建专用自行车道。为此,本研究提出了一个新颖的框架,以现有人行道为基础设计自行车道网络,将选定的人行道连接线转换为合格的自行车道。输出结果将是选定的人行道链接的子集,以最小的成本转换为合格的自行车道,从而使所有起点-终点(O-D)对都有自行车道连接,并且每个起点-终点对的骑车人都能享受类似程度的公平。这里所说的公平是指,每对出发地-目的地的骑车人在设计的自行车道网络中旅行的时间不会比在原来的人行道网络中旅行的时间过长。为了解决这个问题,我们提出了一种新颖的基于分解的动态维度搜索方法。在新加坡一所大学校园和金文泰镇进行的数值实验表明,我们的算法在选择不同的公平参数时,可以提供切实的包容性自行车道网络设计,并在某些存在严重不公平问题的定向对中提高多达 80% 的公平性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sidewalk‐based bicycle path network design incorporating equity in cycling time
Many cities find it difficult to claim enough land to build dedicated bicycle lanes. In response, this study proposes a novel framework to design a bicycle path network based on the existing sidewalks where selected sidewalk links are converted into eligible bicycle paths. The output will be a subset of the sidewalk links chosen to be converted to eligible bicycle paths with minimum cost such that all origin–destination (O‐D) pairs are connected with bicycle paths and cyclists from each O‐D pair can enjoy similar degrees of equity. The equity defined here is that cyclists from each O‐D pair will not need to travel excessively longer in time in the designed bicycle path network than in the original sidewalk network. A novel decomposition‐based dynamic dimensional search is proposed to solve the problem. The numerical experiments of a university campus and Clementi town in Singapore have shown our algorithm with varying equity parameter choices can provide tangible inclusive bicycle path network designs and improve as many as 80% equity in certain O‐D pairs with critical inequity issues.
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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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