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A system for generating customized pleasant pedestrian routes based on OpenStreetMap data
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| Veröffentlicht in: | Sensors 18(2018), 11, Artikel-ID 3794 |
|---|---|
| Personen und Körperschaften: | , , |
| Titel: | A system for generating customized pleasant pedestrian routes based on OpenStreetMap data/ Tessio Novack, Zhiyong Wang and Alexander Zipf |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
6 November 2018
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| Gesamtaufnahme: |
: Sensors, 18(2018), 11, Artikel-ID 3794
, volume:18 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
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| 245 | 1 | 2 | |a A system for generating customized pleasant pedestrian routes based on OpenStreetMap data |c Tessio Novack, Zhiyong Wang and Alexander Zipf |
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| 520 | |a 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. | ||
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| contents | 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. |
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| spelling | Novack, Tessio VerfasserIn (DE-588)1162711337 (DE-627)102687839X (DE-576)507584406 aut, A system for generating customized pleasant pedestrian routes based on OpenStreetMap data Tessio Novack, Zhiyong Wang and Alexander Zipf, 6 November 2018, 19, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Gesehen am 14.11.2018, 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., human-computer interaction, pedestrian routing, volunteered geographic information, Wang, Zhiyong VerfasserIn (DE-588)1171384246 (DE-627)1040523587 (DE-576)513726594 aut, Zipf, Alexander 1971- VerfasserIn (DE-588)123246369 (DE-627)082437076 (DE-576)175641056 aut, Enthalten in Sensors Basel : MDPI, 2001 18(2018), 11, Artikel-ID 3794 Online-Ressource (DE-627)331640910 (DE-600)2052857-7 (DE-576)281205191 1424-8220 nnns, volume:18 year:2018 number:11 elocationid:3794 extent:19, http://dx.doi.org/10.3390/s18113794 Verlag Resolving-System kostenfrei Volltext, https://www.mdpi.com/1424-8220/18/11/3794 Verlag kostenfrei Volltext, http://dx.doi.org/10.3390/s18113794 LFER, LFER 2018-12-10T00:00:00Z |
| spellingShingle | Novack, Tessio, Wang, Zhiyong, Zipf, Alexander, A system for generating customized pleasant pedestrian routes based on OpenStreetMap data, 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., human-computer interaction, pedestrian routing, volunteered geographic information |
| swb_id_str | 513726934 |
| title | A system for generating customized pleasant pedestrian routes based on OpenStreetMap data |
| title_auth | A system for generating customized pleasant pedestrian routes based on OpenStreetMap data |
| title_full | A system for generating customized pleasant pedestrian routes based on OpenStreetMap data Tessio Novack, Zhiyong Wang and Alexander Zipf |
| title_fullStr | A system for generating customized pleasant pedestrian routes based on OpenStreetMap data Tessio Novack, Zhiyong Wang and Alexander Zipf |
| title_full_unstemmed | A system for generating customized pleasant pedestrian routes based on OpenStreetMap data Tessio Novack, Zhiyong Wang and Alexander Zipf |
| title_in_hierarchy | A system for generating customized pleasant pedestrian routes based on OpenStreetMap data / Tessio Novack, Zhiyong Wang and Alexander Zipf, |
| title_short | A system for generating customized pleasant pedestrian routes based on OpenStreetMap data |
| title_sort | system for generating customized pleasant pedestrian routes based on openstreetmap data |
| topic | human-computer interaction, pedestrian routing, volunteered geographic information |
| topic_facet | human-computer interaction, pedestrian routing, volunteered geographic information |
| url | http://dx.doi.org/10.3390/s18113794, https://www.mdpi.com/1424-8220/18/11/3794 |