Away from over-populated development: Estimating urban carrying capacity with an integrated perspective of transportation and urban planning

IF 6.3 2区 工程技术 Q1 ECONOMICS Transport Policy Pub Date : 2024-12-15 DOI:10.1016/j.tranpol.2024.12.010
Hsin-Cheng Ivan Shih , Kenny Chandra Wijaya , Hung-Yi Hsueh , Yu-Ting Hsu
{"title":"Away from over-populated development: Estimating urban carrying capacity with an integrated perspective of transportation and urban planning","authors":"Hsin-Cheng Ivan Shih ,&nbsp;Kenny Chandra Wijaya ,&nbsp;Hung-Yi Hsueh ,&nbsp;Yu-Ting Hsu","doi":"10.1016/j.tranpol.2024.12.010","DOIUrl":null,"url":null,"abstract":"<div><div>Urban Carrying Capacity (UCC) is one of the most critical and essential attributes for urban planning. This study proposes a novel framework to estimate UCC from an integrated perspective of transportation and urban planning, which has never been discussed in the current body of UCC literature. By incorporating transportation planning (including O-D matrix estimation and traffic assignment) and urban planning (e.g., land use plan), the authority concerned can prevent the area from being overdeveloped, which may lead to unwanted situations such as traffic congestion and crowded streets that are the signs of low life quality and low urban efficiency. A case study for Shezidao, an area with a land development/readjustment plan in Taipei, is presented in this paper, and several scenario analyses are also carried out. This study derives several findings that support urban policymaking. For example, the results of the scenario analysis show that higher public transportation usage can effectively increase UCC. Additionally, this study suggests that reducing peak-hour trip generation rates (by encouraging corporates to have flexible work time/mode) can help increase UCC by decreasing peak traffic volume on the road. With a focus on transportation, the proposed framework can serve as a helpful tool to evaluate land development projects, and the result should be considered with UCC estimation methods from other essential aspects.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"162 ","pages":"Pages 283-295"},"PeriodicalIF":6.3000,"publicationDate":"2024-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Policy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967070X24003846","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0

Abstract

Urban Carrying Capacity (UCC) is one of the most critical and essential attributes for urban planning. This study proposes a novel framework to estimate UCC from an integrated perspective of transportation and urban planning, which has never been discussed in the current body of UCC literature. By incorporating transportation planning (including O-D matrix estimation and traffic assignment) and urban planning (e.g., land use plan), the authority concerned can prevent the area from being overdeveloped, which may lead to unwanted situations such as traffic congestion and crowded streets that are the signs of low life quality and low urban efficiency. A case study for Shezidao, an area with a land development/readjustment plan in Taipei, is presented in this paper, and several scenario analyses are also carried out. This study derives several findings that support urban policymaking. For example, the results of the scenario analysis show that higher public transportation usage can effectively increase UCC. Additionally, this study suggests that reducing peak-hour trip generation rates (by encouraging corporates to have flexible work time/mode) can help increase UCC by decreasing peak traffic volume on the road. With a focus on transportation, the proposed framework can serve as a helpful tool to evaluate land development projects, and the result should be considered with UCC estimation methods from other essential aspects.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
远离人口过剩的发展:从交通和城市规划的综合角度估计城市承载能力
城市承载力(UCC)是城市规划中最关键、最基本的属性之一。本研究提出了一个新的框架,从交通和城市规划的综合角度来估计UCC,这在目前的UCC文献中从未被讨论过。有关当局可结合交通规划(包括od矩阵估算及交通分配)和城市规划(例如土地用途规划),防止该地区过度发展,以免出现交通挤塞及街道拥挤等不良情况,显示生活质素低及城市效率低。本文以台北市蛇子岛为例,进行了若干情景分析。这项研究得出了一些支持城市政策制定的发现。例如,情景分析结果表明,提高公共交通的使用率可以有效地增加UCC。此外,该研究还表明,通过鼓励企业采用灵活的工作时间/模式,减少高峰时段的出行产生率,可以通过减少道路上的高峰交通量来帮助提高UCC。以交通为重点,建议的框架可以作为评估土地开发项目的有用工具,并应将结果与其他基本方面的UCC估算方法结合起来考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Transport Policy
Transport Policy Multiple-
CiteScore
12.10
自引率
10.30%
发文量
282
期刊介绍: Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.
期刊最新文献
Editorial Board Balancing innovation and safety: Public preferences for autonomous vehicle testing in Australia Drivers of public inter-organizational collaboration in area-oriented transport infrastructure planning: A comparative analysis of four Dutch cases The linkages between high-speed rail network structure and inter-city human mobility patterns: A dual-network approach A game-theoretic approach for pricing policy under urban rail mixed passenger–freight transport
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1