TY - JOUR
T1 - Bicycle network needs, solutions, and data collection systems
T2 - A theoretical framework and case studies
AU - Reggiani, Giulia
AU - Salomons, A. Maria
AU - Sterk, Merel
AU - Yuan, Yufei
AU - O'Hern, Steve
AU - Daamen, Winnie
AU - Hoogendoorn, Serge
N1 - Funding Information:
This research was supported by the ALLEGRO project, which is financed by the European Research Council (Grant Agreement No. 669792) and the Amsterdam Institute for Advanced Metropolitan Solutions.
Funding Information:
This research was supported by the ALLEGRO project, which is financed by the European Research Council (Grant Agreement No. 669792) and the Amsterdam Institute for Advanced Metropolitan Solutions.
Publisher Copyright:
© 2022 World Conference on Transport Research Society
PY - 2022/6
Y1 - 2022/6
N2 - 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.
AB - 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.
KW - Bicycle data collection system
KW - Bicycle network needs
KW - Nation-wide survey
U2 - 10.1016/j.cstp.2022.03.006
DO - 10.1016/j.cstp.2022.03.006
M3 - Article
AN - SCOPUS:85127330875
SN - 2213-624X
VL - 10
SP - 927
EP - 939
JO - Case studies on transport policy
JF - Case studies on transport policy
IS - 2
ER -
