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Digital Bicycling Planning: A Systematic Literature Review of Data-Driven Approaches

Zare, Parisa ; Pettit, Christopher; Leao, Simone; Gudes, Ori

Abstract:

To increase the amount of bicycling as a mode of transport, many countries are developing
placed based bicycling plans and strategies. However, this approach necessitates considering a fine-
scale mapping of bicycling patterns and a detailed description of urban spaces. The rise of new data
and technologies offers much promise to planners and researchers to access diverse and richer sources
of information to optimise the bicycling network design. This review aims to comprehensively
examine the role of data and technology in bicycling planning, historical changes in using data-
driven approaches, and current domains in the existing body of research in bicycling planning from
1990 to 2021. For this, a systematic literature review has been conducted according to PRISMA
framework. A total number of 1022 studies was analysed and synthesised with the VOS Viewer
and CiteSpace platforms. Upon completing the review, we extracted the most-used datasets, tools,
and methodologies. The results of the systematic review reveal three evolutionary phases in using
data-driven approaches from 1990 to 1999, 2000 to 2009, and 2010 to 2021. In addition, we identified
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Verlagsausgabe §
DOI: 10.5445/IR/1000183306
Veröffentlicht am 24.07.2025
Originalveröffentlichung
DOI: 10.3390/su142316319
Scopus
Zitationen: 4
Web of Science
Zitationen: 5
Dimensions
Zitationen: 7
Cover der Publikation
Zugehörige Institution(en) am KIT Karlsruher Institut für Technologie (KIT)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2022
Sprache Englisch
Identifikator ISSN: 2071-1050
KITopen-ID: 1000183306
Erschienen in Sustainability
Verlag MDPI
Band 14
Heft 23
Seiten Art.-Nr.: 16319
Vorab online veröffentlicht am 06.12.2022
Nachgewiesen in Web of Science
OpenAlex
Dimensions
Scopus
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