{"title":"Sidewalk‐based bicycle path network design incorporating equity in cycling time","authors":"Yutong Cai, Ghim Ping Ong, Qiang Meng","doi":"10.1111/mice.13240","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":null,"pages":null},"PeriodicalIF":8.5000,"publicationDate":"2024-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer-Aided Civil and Infrastructure Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1111/mice.13240","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
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.
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.