IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i23p16319-d995537.html
   My bibliography  Save this article

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

Author

Listed:
  • Parisa Zare

    (School of Arts, Design & Architecture, University of New South Wales, Sydney, NSW 2052, Australia)

  • Christopher Pettit

    (School of Arts, Design & Architecture, University of New South Wales, Sydney, NSW 2052, Australia)

  • Simone Leao

    (School of Arts, Design & Architecture, University of New South Wales, Sydney, NSW 2052, Australia)

  • Ori Gudes

    (School of Population Health, University of New South Wales, Sydney, NSW 2052, Australia)

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.

Suggested Citation

  • Parisa Zare & Christopher Pettit & Simone Leao & Ori Gudes, 2022. "Digital Bicycling Planning: A Systematic Literature Review of Data-Driven Approaches," Sustainability, MDPI, vol. 14(23), pages 1-20, December.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16319-:d:995537
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/23/16319/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/23/16319/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Haozhi Pan & Stan Geertman & Brian Deal, 2020. "What does urban informatics add to planning support technology?," Environment and Planning B, , vol. 47(8), pages 1317-1325, October.
    2. repec:cdl:itsdav:qt79v822k5 is not listed on IDEAS
    3. Arellana, Julián & Saltarín, María & Larrañaga, Ana Margarita & González, Virginia I. & Henao, César Augusto, 2020. "Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 310-334.
    4. van Eck, N.J.P. & Waltman, L., 2009. "How to Normalize Co-Occurrence Data? An Analysis of Some Well-Known Similarity Measures," ERIM Report Series Research in Management ERS-2009-001-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    5. Iacono, Michael & Krizek, Kevin J. & El-Geneidy, Ahmed, 2010. "Measuring non-motorized accessibility: issues, alternatives, and execution," Journal of Transport Geography, Elsevier, vol. 18(1), pages 133-140.
    6. Levine, Jonathan & Merlin, Louis & Grengs, Joe, 2017. "Project-level accessibility analysis for land-use planning," Transport Policy, Elsevier, vol. 53(C), pages 107-119.
    7. Zhang, Dapeng & Magalhães, David José Ahouagi Vaz & Wang, Xiaokun (Cara), 2014. "Prioritizing bicycle paths in Belo Horizonte City, Brazil: Analysis based on user preferences and willingness considering individual heterogeneity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 67(C), pages 268-278.
    8. Mateo-Babiano, Iderlina & Bean, Richard & Corcoran, Jonathan & Pojani, Dorina, 2016. "How does our natural and built environment affect the use of bicycle sharing?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 94(C), pages 295-307.
    9. Vitalii Naumov, 2021. "Substantiation of Loading Hub Location for Electric Cargo Bikes Servicing City Areas with Restricted Traffic," Energies, MDPI, vol. 14(4), pages 1-16, February.
    10. Hochmair, Hartwig H. & Bardin, Eric & Ahmouda, Ahmed, 2019. "Estimating bicycle trip volume for Miami-Dade county from Strava tracking data," Journal of Transport Geography, Elsevier, vol. 75(C), pages 58-69.
    11. Justin B. Hollander & Yaqi Shen, 2017. "Using Social Media Data to Infer Urban Attitudes About Bicycling: An Exploratory Case Study of Washington DC," Springer Optimization and Its Applications, in: Athanasia Karakitsiou & Athanasios Migdalas & Stamatina Th. Rassia & Panos M. Pardalos (ed.), City Networks, chapter 0, pages 79-97, Springer.
    12. Lugo, Adonia E., 2013. "CicLAvia and human infrastructure in Los Angeles: ethnographic experiments in equitable bike planning," Journal of Transport Geography, Elsevier, vol. 30(C), pages 202-207.
    13. Greg P. Griffin & Junfeng Jiao, 2019. "Crowdsourcing Bike Share Station Locations," Journal of the American Planning Association, Taylor & Francis Journals, vol. 85(1), pages 35-48, January.
    14. repec:cdl:itsrrp:qt6qg8q6ft is not listed on IDEAS
    15. Nankervis, Max, 1999. "The effect of weather and climate on bicycle commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(6), pages 417-431, August.
    16. Vitalii Naumov & Michał Pawluś, 2021. "Identifying the Optimal Packing and Routing to Improve Last-Mile Delivery Using Cargo Bicycles," Energies, MDPI, vol. 14(14), pages 1-15, July.
    17. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    18. Leonidas G. Anthopoulos, 2015. "Understanding the Smart City Domain: A Literature Review," Public Administration and Information Technology, in: Manuel Pedro Rodríguez-Bolívar (ed.), Transforming City Governments for Successful Smart Cities, edition 127, pages 9-21, Springer.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.
    2. Massimiliano M. Pellegrini & Riccardo Rialti & Giacomo Marzi & Andrea Caputo, 2020. "Sport entrepreneurship: A synthesis of existing literature and future perspectives," International Entrepreneurship and Management Journal, Springer, vol. 16(3), pages 795-826, September.
    3. Cathelijn J. F. Waaijer & Cornelis A. Bochove & Nees Jan Eck, 2011. "On the map: Nature and Science editorials," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 99-112, January.
    4. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    5. Lilian Cervo Cabrera & Carlos Eduardo Caldarelli & Marcia Regina Gabardo Camara, 2020. "Mapping collaboration in international coffee certification research," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2597-2618, September.
    6. Duygu Buyukyazici & Leonardo Mazzoni & Massimo Riccaboni & Francesco Serti, 2024. "Workplace skills as regional capabilities: relatedness, complexity and industrial diversification of regions," Regional Studies, Taylor & Francis Journals, vol. 58(3), pages 469-489, March.
    7. Evi Sachini & Nikolaos Karampekios & Pierpaolo Brutti & Konstantinos Sioumalas-Christodoulou, 2020. "Should I stay or should I go? Using bibliometrics to identify the international mobility of highly educated Greek manpower," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 641-663, October.
    8. Ospina, Juan P. & Duque, Juan C. & Botero-Fernández, Verónica & Montoya, Alejandro, 2022. "The maximal covering bicycle network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 222-236.
    9. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    10. Pierre-Alexandre Balland & David Rigby & Ron Boschma, 2015. "The technological resilience of US cities," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 8(2), pages 167-184.
    11. Hong, Jinhyun & Philip McArthur, David & Stewart, Joanna L., 2020. "Can providing safe cycling infrastructure encourage people to cycle more when it rains? The use of crowdsourced cycling data (Strava)," Transportation Research Part A: Policy and Practice, Elsevier, vol. 133(C), pages 109-121.
    12. Alexander Wenzel & Pablo Guindos & Manuel Carpio, 2025. "Using Timber in Mid-Rise and Tall Buildings to Construct Our Cities: A Science Mapping Study," Sustainability, MDPI, vol. 17(5), pages 1-30, February.
    13. Valentina Di Iasio & Ernest Miguelez, 2022. "The ties that bind and transform: knowledge remittances, relatedness and the direction of technical change [Brain drain or brain bank? The impact of skilled emigration on poor-country innovation]," Journal of Economic Geography, Oxford University Press, vol. 22(2), pages 423-448.
    14. Dieter F. Kogler & Jürgen Essletzbichler & David L. Rigby, 2017. "The evolution of specialization in the EU15 knowledge space," Journal of Economic Geography, Oxford University Press, vol. 17(2), pages 345-373.
    15. Danilo Silva Carvalho & Lucas Lopes Felipe & Priscila Costa Albuquerque & Fabio Zicker & Bruna de Paula Fonseca, 2023. "Leadership and international collaboration on COVID-19 research: reducing the North–South divide?," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(8), pages 4689-4705, August.
    16. Spencer, Phoebe & Watts, Richard & Vivanco, Luis & Flynn, Brian, 2013. "The effect of environmental factors on bicycle commuters in Vermont: influences of a northern climate," Journal of Transport Geography, Elsevier, vol. 31(C), pages 11-17.
    17. Arellana, Julián & Saltarín, María & Larrañaga, Ana Margarita & González, Virginia I. & Henao, César Augusto, 2020. "Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 310-334.
    18. Matias Nehuen Iglesias, 2021. "The Overlooked Insights from Correlation Structures in Economic Geography," Papers in Evolutionary Economic Geography (PEEG) 2105, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Jan 2021.
    19. Mercedes Campi & Marco Duenas & Giorgio Fagiolo, 2019. "How do countries specialize in food production? A complex-network analysis of the global agricultural product space," LEM Papers Series 2019/37, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    20. Ba Xuan Nguyen & Markus Luczak-Roesch & Jesse David Dinneen, 2024. "Do research collaborations age like wine? Absolute and relative measures of CANZUK research partnerships’ strength since the 1950s," PLOS ONE, Public Library of Science, vol. 19(4), pages 1-24, April.

    More about this item

    Keywords

    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16319-:d:995537. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.