Smart City Gnosys

Smart city article details

Title	Digital Bicycling Planning: A Systematic Literature Review Of Data-Driven Approaches
ID_Doc	19951
Authors	Zare P.; Pettit C.; Leao S.; Gudes O.
Year	2022
Published	Sustainability (Switzerland), 14, 23
DOI	http://dx.doi.org/10.3390/su142316319
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 six knowledge domains in using data-driven approaches in bicycling planning that is (i) smart city, (ii) infrastructure, (iii) built environment, (iv) decision making, (v) people, and (vi) safety. © 2022 by the authors.
Author Keywords	bicycling planning; data-driven approaches; systematic literature review

Similar Articles

Id	Similarity	Authors	Title	Published
59864	0.899	Liu S.; Shen Z.-J.M.; Ji X.	Urban Bike Lane Planning With Bike Trajectories: Models, Algorithms, And A Real-World Case Study	Manufacturing and Service Operations Management, 24, 5 (2022)
39708	0.872	Namiot, D; Sneps-Sneppe, M	On Bikes In Smart Cities	AUTOMATIC CONTROL AND COMPUTER SCIENCES, 53, 1 (2019)
49602	0.867	Silva L.; Calazans M.; Vasconcelos L.; Barcellos R.; Trevisan D.; Viterbo J.	Smart Cities In Focus: A Bicycle Transport Applications Analysis	Proceedings of the 2023 26th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2023 (2023)
26705	0.866	Avignone A.; Napolitano D.; Cagliero L.; Chiusano S.	Flowcasting: A Dynamic Machine Learning Based Dashboard For Bike-Sharing System Management	18th IEEE International Conference on Application of Information and Communication Technologies, AICT 2024 (2024)
36963	0.865	Ahmed T.; Pirdavani A.; Wets G.; Janssens D.	Micro-Level Bicycle Infrastructure Design Elements: A Framework For Developing A Bikeability Index For Urban Areas	Smart Cities, 8, 2 (2025)
25438	0.864	Sanchez-Sepulveda M.V.; Navarro-Martin J.; Fonseca-Escudero D.; Amo-Filva D.; Antunez-Anea F.	Exploiting Urban Data To Address Real-World Challenges: Enhancing Urban Mobility For Environmental And Social Well-Being	Cities, 153 (2024)
55604	0.863	Carvalho C.; Jose R.	The Gap Between Cycling Practices And Mapping Services For Smart Cycling	ISC2 2022 - 8th IEEE International Smart Cities Conference (2022)
40886	0.86	Fayyaz M.; Fusco G.; Colombaroni C.; González-González E.; Nogués S.	Optimizing Smart City Street Design With Interval-Fuzzy Multi-Criteria Decision Making And Game Theory For Autonomous Vehicles And Cyclists	Smart Cities, 7, 6 (2024)
57738	0.859	Oliveira F.; Costa D.G.	Toward Sustainable Cycling: Modelling And Visualization Issues Of Cycle Paths For Iot-Based Sensing	2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings (2021)
9519	0.857	Cuong D.V.; Ngo V.M.; Cappellari P.; Roantree M.	Analyzing Shared Bike Usage Through Graph-Based Spatio-Temporal Modeling	IEEE Open Journal of Intelligent Transportation Systems, 5 (2024)