Eve Schade
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Item type:Publication, Traffic jam by GPS: A systematic analysis of the negative social externalities of large-scale navigation technologies(Public Library of Science, 2024-08-06); ; ; Xiangjie KongThe increased usage of navigation technologies has caused conflicts in local traffic management, resulting in congested residential areas among other challenges for residents. This paper uses content analysis to investigate such negative social externalities within local communities and neighbourhoods. Through a corpus of 90 news articles about traffic incidents caused by navigation technologies, we identified negative traffic and safety-related externalities, including congestion, damage, pollution, and accidents. We also report on countermeasures by local communities and governments, including street closures, speed limit reduction, and turn bans. Based on our results, we discuss the implications for designing mobile navigation technologies that reduce negative social externalities.Type:journal articleJournal:PLOS ONEVolume:19Issue:8Scopus© Citations 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, MapUncover: Fostering Spatial Exploration through Gamification in Mobile Map Apps(Association for Computing Machinery, 2023); ; ; Type:conference paper - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Describing Explored Places through OpenStreetMap Data(Association for Computing Machinery, 2025); ; ; Mobile navigation applications are good at providing efficient navigation instructions. However, they currently lack the capability to facilitate free exploration. Therefore, users are limited to encountering only places close to the shortest paths, neglecting places that could diversify navigation and foster spatial learning. To better understand what characteristics places have that users like to explore we collected a dataset with a mobile application that encourages free exploration using gamification (n = 39, t = 455 days, 106.50 𝑘𝑚2). Using OpenStreetMap data, we found highly frequented freely explored places comprising office, educational, retail, touristic and commercial places. When comparing the characteristics of the freely explored places to those along the shortest path, those categories were different. Based on our findings, we propose that implementing more diverse routing algorithms can enhance navigation diversity, improve spatial learning, and optimise the utilisation of urban spaces for travel.Type:conference paperScopus© Citations 2