Modeling of Pedestrian Route Selection in Areas with Different Street Patterns
Toshihiro Osaragi () and
Azusa Tanaka
Additional contact information
Toshihiro Osaragi: Tokyo Institute of Technology
Azusa Tanaka: Tokyo Institute of Technology
A chapter in Advances and New Trends in Environmental Informatics, 2018, pp 147-164 from Springer
Abstract:
Abstract In a large body of reports on simulations of pedestrians’ movement, pedestrians are often assumed to walk along the shortest path. However, they don’t always select the shortest path to destinations. They rather select other preferable route, which varies according to environmental factors. In this paper, we propose a route selection model and analyze factors which affect route selection behavior of pedestrians. Specifically, we discuss the influence of distance to walk, the number of turns, street width, and existence of landmarks on their route selection behavior. Furthermore, the descriptive capabilities of the proposed models are demonstrated through a comparison with results from experiments in which participants select routes on maps, also we discuss the route selection which varies according to the characteristics of geographic urban area or individual characteristics of pedestrians.
Keywords: Route selection; Walking distance; Number of turns; Street width; Landmark (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:prochp:978-3-319-99654-7_10
Ordering information: This item can be ordered from
http://www.springer.com/9783319996547
DOI: 10.1007/978-3-319-99654-7_10
Access Statistics for this chapter
More chapters in Progress in IS from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().