Citizen Reportings and its Application to Bike Infrastructure Quality Assessment

Johannes Schering, Lukas Gerdes, J. Gómez, Federico Alfaro
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Abstract

Digitalization gives new opportunities for citizen involvement. Local people can provide new insights in infrastructure shortcomings to support decision making. In this contribution we discuss how user generated data from municipal reporting systems can be used to support bike infrastructure quality assessment. The open accessible web portal EMSOs (EreignisMeldeSystem der Stadt Osnabrueck, Incident Reporting System of the City of Osnabrueck) is the specific usecase of this work. The Key Performance Indicators (KPIs) show when (potential) cyclists tend to use the reporting system to inform the administration about infrastructure shortcomings. The categorization of the portal could be misleading to many users as reportings may fit to several categories. Therefore, we classified the EMSOs reportings from 2021 to specific key words and topics that seem to be relevant to the users. The visualization shows several hotspots in the city where people complaining about parking violators or mud on the road. The work is embedded in the research project INFRASense that works on the development of a holistic quality assessment for bike paths. Based on reverse geocoding addresses and road names were identified from the geo coordinates. The related KPIs (e.g. reportings per meter) reveal road segments and streets that may be problematic from the user perspective. The contribution ends with a discussion how this process can be extended to other fields of interest and how it can be automatized to decrease the work load in processing citizen reporting data.
公民报告及其在自行车基础设施质量评价中的应用
数字化为公民参与提供了新的机会。当地人可以就基础设施的不足提供新的见解,以支持决策。在这篇文章中,我们讨论了如何使用市政报告系统中用户生成的数据来支持自行车基础设施质量评估。开放访问门户网站EMSOs (EreignisMeldeSystem der城市Osnabrueck,城市Osnabrueck事件报告系统)的特定usecase这项工作。关键绩效指标(kpi)显示了(潜在的)骑自行车者何时倾向于使用报告系统向管理部门通报基础设施的缺点。门户的分类可能会误导许多用户,因为报告可能适合几个类别。因此,我们将2021年的emso报告分类为与用户相关的特定关键词和主题。可视化显示了该市的几个热点地区,人们抱怨违章停车或道路泥泞。这项工作是研究项目INFRASense的一部分,该项目致力于开发自行车道的整体质量评估。基于反向地理编码,从地理坐标中识别出地址和道路名称。相关的关键绩效指标(例如每米报告)揭示了从用户角度来看可能存在问题的路段和街道。文章最后讨论了如何将此流程扩展到其他感兴趣的领域,以及如何将其自动化以减少处理公民报告数据的工作量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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