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The impact of urban road network morphology on pedestrian wayfinding behavior

Bhowmick, D.; Winter, S.; Stevenson, M.; Vortisch, Peter

During wayfinding pedestrians do not always choose the shortest available route. Instead, route choices are guided by several well-known wayfinding strategies or heuristics. These heuristics minimize cognitive effort and usually lead to satisfactory route choices. Our previous study evaluated the costs of four well-known pedestrian wayfinding heuristics and their variation across nine network morphologies. It was observed that the variation in the cost of these wayfinding heuristics increased with an increase in the irregularity of the network, indicating that people may opt for more diverse heuristics while walking through relatively regular networks, and may prefer specific heuristics in the relatively irregular ones. The study presented here aims to investigate this claim by comparing simulated routes with observed pedestrian trajectories in Beijing and Melbourne, two cities at opposite ends of the regularity spectrum. We found that the values of mean route length and mean Network Hausdorff Distance for walking trips made in Melbourne were consistently lesser than the corresponding values obtained in Beijing. Also, across both the cities, we found that while there was minimal variation in the popularity of heuristics overall, in cases where different heuristics produced dissimilar routes, the shortest leg first strategy and the least angle strategy were more popular.

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Verlagsausgabe §
DOI: 10.5445/IR/1000129365
Veröffentlicht am 05.02.2021
DOI: 10.5311/JOSIS.2020.21.601
Zitationen: 1
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Verkehrswesen (IFV)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2020
Sprache Englisch
Identifikator ISSN: 1948-660X
KITopen-ID: 1000129365
Erschienen in Journal of spatial information science
Verlag University of Maine
Band 21
Seiten 203-228
Schlagwörter pedestrian wayfinding, wayfinding heuristics, network morphology, trajectory data analysis, map matching, path similarity, computational movement analysis, GPS
Nachgewiesen in Scopus
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