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Verfasst von:Novack, Tessio [VerfasserIn]   i
 Wang, Zhiyong [VerfasserIn]   i
 Zipf, Alexander [VerfasserIn]   i
Titel:A system for generating customized pleasant pedestrian routes based on OpenStreetMap data
Verf.angabe:Tessio Novack, Zhiyong Wang and Alexander Zipf
E-Jahr:2018
Jahr:6 November 2018
Umfang:19 S.
Fussnoten:Gesehen am 14.11.2018
Titel Quelle:Enthalten in: Sensors
Ort Quelle:Basel : MDPI, 2001
Jahr Quelle:2018
Band/Heft Quelle:18(2018), 11, Artikel-ID 3794
ISSN Quelle:1424-8220
Abstract:In this work, we present a system that generates customized pedestrian routes entirely based on data from OpenStreetMap (OSM). The system enables users to define to what extent they would like the route to have green areas (e.g., parks, squares, trees), social places (e.g., cafes, restaurants, shops) and quieter streets (i.e., with less road traffic). We present how the greenness, sociability, and quietness factors are defined and extracted from OSM as well as how they are integrated into a routing cost function. We intrinsically evaluate customized routes from one-thousand trips, i.e., origin–destination pairs, and observe that these are, in general, as we intended—slightly longer but significantly more social, greener, and quieter than the respective shortest routes. Based on a survey taken by 156 individuals, we also evaluate the system’s usefulness, usability, controlability, and transparency. The majority of the survey participants agree that the system is useful and easy to use and that it gives them the feeling of being in control regarding the extraction of routes in accordance with their greenness, sociability, and quietness preferences. The survey also provides valuable insights into users requirements and wishes regarding a tool for interactively generating customized pedestrian routes.
DOI:doi:10.3390/s18113794
URL:kostenfrei: Volltext ; Verlag: http://dx.doi.org/10.3390/s18113794
 kostenfrei: Volltext: https://www.mdpi.com/1424-8220/18/11/3794
 DOI: https://doi.org/10.3390/s18113794
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:human-computer interaction
 pedestrian routing
 volunteered geographic information
K10plus-PPN:1583726934
Verknüpfungen:→ Zeitschrift
 
 
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