Bicycle network needs, solutions, and data collection systems

A theoretical framework and case studies

Journal Article (2022)
Authors

G. Reggiani (TU Delft - Transport and Planning)

AM Salomons (Transport and Planning)

Merel Sterk (Student TU Delft)

Steve O'Hern (Tampere University)

W Daamen (Transport and Planning)

Y Yuan (Transport and Planning)

Serge Hoogendoorn (TU Delft - Transport and Planning)

Department
Transport and Planning
Copyright
© 2022 G. Reggiani, A.M. Salomons, M.A.H. Sterk, Steve O'Hern, W. Daamen, Y. Yuan, S.P. Hoogendoorn
To reference this document use:
https://doi.org/10.1016/j.cstp.2022.03.006
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 G. Reggiani, A.M. Salomons, M.A.H. Sterk, Steve O'Hern, W. Daamen, Y. Yuan, S.P. Hoogendoorn
Department
Transport and Planning
Issue number
2
Volume number
10
Pages (from-to)
927-939
DOI:
https://doi.org/10.1016/j.cstp.2022.03.006
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Abstract

Similarly to Maslow’s pyramid of human needs, we theorize that cities have a pyramid of bicycle network needs that depends on their level of bicycle culture. As an increasing number of data sources emerge for bicycle data collection, transport authorities face the challenge of understanding how to use the data and which data sources are fit for their network needs. This article defines a framework that relates the bicycle network needs of cities with data collection systems. We showcase the need-driven framework through a case study of Melbourne, Australia, a bicycle ignorant city, and surveying 15 municipalities (and their consultancies) of the Netherlands. By using the proposed need-driven framework cities can understand how to fully exploit bicycle data collection systems and make a systematic plan.