Using city-bike stopovers to reveal spatial patterns of urban attractiveness
Authors:
- Krystian Banet,
- Vitalii Naumov,
- Rafał Kucharski
Abstract
We demonstrate how digital traces of city-bike trips may become useful to identify urban space attractiveness. We exploit their unique feature – stopovers: short, non-traffic-related stops made by cyclists during their trips. As we demonstrate with the case study of Kraków (Poland), when applied to a big dataset, meaningful patterns appear, with hotspots (places with long and frequent stopovers) identified at both the top tourist and leisure attractions as well as emerging new places. We propose a generic method, applicable to any spatiotemporal city-bike traces, providing results meaningful to understand the general urban space attractiveness and its dynamics. With the proposed filtering (to mitigate a selection bias) and empirical cross-validation (to rule-out false-positive classifications) results effectively reveal spatial patterns of urban attractiveness. Valuable for decision-makers and analysts to enhance understanding of urban space consumption patterns by tourists and residents.
- Record ID
- CUT826a2d9bf3a640f399310c9f1779ecdd
- Publication categories
- ;
- Author
- Journal series
- Current Issues in Tourism, ISSN 1368-3500, e-ISSN 1747-7603
- Issue year
- 2022
- Vol
- 25
- No
- 18
- Pages
- 2887-2904
- Other elements of collation
- fot.; rys.; tab.; wykr.; Bibliografia (na s.) - 2901-2904; Oznaczenie streszczenia - Abstr.; Data udostępnienia on-line - 2022-01-01; Numeracja w czasopiśmie - Vol. 25, Iss. 18
- Keywords in English
- bike-sharing system, urban space, tourist hotspots, tourist attractiveness, spatial-datadigital footprints
- ASJC Classification
- ;
- DOI
- DOI:10.1080/13683500.2021.2011841 Opening in a new tab
- URL
- https://www.tandfonline.com/doi/full/10.1080/13683500.2021.2011841 Opening in a new tab
- Language
- eng (en) English
- Score (nominal)
- 140
- Score source
- journalList
- Score
- Publication indicators
- Additional fields
- Indeksowana w: Web of Science, Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT826a2d9bf3a640f399310c9f1779ecdd/
- URN
urn:pkr-prod:CUT826a2d9bf3a640f399310c9f1779ecdd
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.