Introducing PtAC – an open source tool to assess SDG 11.2 using open data

IF 3.8 Q2 TRANSPORTATION
Simon Nieland , Mirko Goletz , Daniel Krajzewicz , Daniela Palacios Lopez
{"title":"Introducing PtAC – an open source tool to assess SDG 11.2 using open data","authors":"Simon Nieland ,&nbsp;Mirko Goletz ,&nbsp;Daniel Krajzewicz ,&nbsp;Daniela Palacios Lopez","doi":"10.1016/j.trip.2025.101516","DOIUrl":null,"url":null,"abstract":"<div><div>This paper presents a novel approach for assessing and monitoring Sustainable Development Goal 11.2.1, which measures the proportion of an urban population having convenient access to public transport. Despite its global importance as the key indicator for urban mobility, many cities face significant barriers to implementation, including limited access to standardized input data and a lack of technical capacity. To address these challenges, we introduce PtAC, the Public Transport Access Calculator, an open-source Python library that combines remote sensing data from the World Settlement Footprint Population with crowdsourced geospatial data from OpenStreetMap. PtAC automates the calculation of SDG 11.2.1, offering a globally applicable, transparent, and reproducible methodology for consistent monitoring of urban transport accessibility. The tool was applied to 33 cities worldwide, and its outputs were validated against reference data provided by UN-Habitat. Validation results show a high correlation, underscoring the tool’s potential to support scalable SDG monitoring. The study demonstrates how open and remote sensing data can be operationalized to bridge existing methodological gaps in urban sustainability assessments.</div></div>","PeriodicalId":36621,"journal":{"name":"Transportation Research Interdisciplinary Perspectives","volume":"32 ","pages":"Article 101516"},"PeriodicalIF":3.8000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Interdisciplinary Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590198225001952","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

Abstract

This paper presents a novel approach for assessing and monitoring Sustainable Development Goal 11.2.1, which measures the proportion of an urban population having convenient access to public transport. Despite its global importance as the key indicator for urban mobility, many cities face significant barriers to implementation, including limited access to standardized input data and a lack of technical capacity. To address these challenges, we introduce PtAC, the Public Transport Access Calculator, an open-source Python library that combines remote sensing data from the World Settlement Footprint Population with crowdsourced geospatial data from OpenStreetMap. PtAC automates the calculation of SDG 11.2.1, offering a globally applicable, transparent, and reproducible methodology for consistent monitoring of urban transport accessibility. The tool was applied to 33 cities worldwide, and its outputs were validated against reference data provided by UN-Habitat. Validation results show a high correlation, underscoring the tool’s potential to support scalable SDG monitoring. The study demonstrates how open and remote sensing data can be operationalized to bridge existing methodological gaps in urban sustainability assessments.
介绍PtAC——一个使用开放数据评估可持续发展目标11.2的开源工具
本文提出了一种评估和监测可持续发展目标11.2.1的新方法,该目标衡量城市人口中公共交通便利的比例。尽管它作为城市流动性的关键指标在全球具有重要意义,但许多城市在实施方面面临重大障碍,包括获得标准化输入数据的机会有限和缺乏技术能力。为了应对这些挑战,我们引入了PtAC,即公共交通访问计算器,这是一个开源Python库,它结合了来自世界定居点足迹人口的遥感数据和来自OpenStreetMap的众包地理空间数据。PtAC自动化了可持续发展目标11.2.1的计算,为持续监测城市交通可达性提供了一种全球适用、透明和可重复的方法。该工具已应用于全球33个城市,其产出与联合国人居署提供的参考数据进行了验证。验证结果显示了高度相关性,强调了该工具支持可扩展SDG监控的潜力。该研究展示了如何利用开放和遥感数据来弥补城市可持续性评估中现有方法上的差距。
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 求助全文
来源期刊
Transportation Research Interdisciplinary Perspectives
Transportation Research Interdisciplinary Perspectives Engineering-Automotive Engineering
CiteScore
12.90
自引率
0.00%
发文量
185
审稿时长
22 weeks
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信