首页    期刊浏览 2024年10月07日 星期一
登录注册

文章基本信息

  • 标题:A Circuity Temporal Analysis of Urban Street Networks Using Open Data: A Lisbon Case Study
  • 本地全文:下载
  • 作者:Miguel Costa ; Manuel Marques ; Filipe Moura
  • 期刊名称:ISPRS International Journal of Geo-Information
  • 电子版ISSN:2220-9964
  • 出版年度:2021
  • 卷号:10
  • 期号:7
  • 页码:453
  • DOI:10.3390/ijgi10070453
  • 语种:English
  • 出版社:MDPI AG
  • 摘要:Urban street networks impact urban space usage and movement across a city. Circuity, the ratio of network distances to straight-line distances, is considered a critical measurement in urban network morphology and transportation efficiency as it can measure the attractiveness of routes in terms of distance traveled. Here, we compare circuity measures for drivable, cyclable, and walkable networks to analyze how they evolved and understand whether urban changes have produced meaningful circuity changes. Our analyses rely on Lisbon data from OpenStreetMaps to explore circuity for the period 2013–2020, which we used to simulate 4.8 million routes using OpenRouteService to compute the different modes’ circuity measures. Our findings suggest that it is crucial to analyze each transport network type separately when planning or modeling urban street networks. Their composition and design differ significantly from mode to mode, such as their attractiveness to users. We identify significant changes in modes’ circuity over time, especially in cycling, following Lisbon’s cycling infrastructure expansion. Our paper demonstrates that the circuity indicator is useful when planning and modeling street networks, in particular, to optimize the location choice for interventions required to increase the attractiveness of active modes and promote sustainable mobility. At the same time, we emphasize the lack of information on walking infrastructures required for more detailed analyses.
国家哲学社会科学文献中心版权所有