Comparing spatial data sources for cycling studies – a review

Elias S Willberg, Henrikki Tenkanen, Age Poom, Maria Salonen and Tuuli Toivonen

No ruy3j, SocArXiv from Center for Open Science

Abstract: Cycling is integral for developing human-scale cities. To attract more people on bikes, urban planning and research share a need to better understand the spatial, temporal and social aspects of cycling. Novel data sources provide new opportunities to respond to this need, but understanding their strengths and weaknesses is crucial to facilitate the use of the most fitting data. We reviewed common cycling data sources and carried out a survey among NECTAR researchers and their networks of experts to compare the suitability of different data for answering some of the most common questions on cycling. Our results highlight the need for careful consideration of data availability, representativeness and fitness-for-use. The lack of cycling data and access to it is still identified as a main limitation among several of the reviewed data sources, both novel and traditional. We call for increased emphasis on responsible data sharing and open science practices whenever possible.

Date: 2021-01-27
New Economics Papers: this item is included in nep-ore and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://osf.io/download/6010308e75226b02f3516a33/

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:osf:socarx:ruy3j

DOI: 10.31219/osf.io/ruy3j

Access Statistics for this paper

More papers in SocArXiv from Center for Open Science
Bibliographic data for series maintained by OSF ().