Bicycle network needs, solutions, and data collection systems: A theoretical framework and case studies

Giulia Reggiani; A. Maria Salomons; Merel Sterk; Yufei Yuan; Steve O'Hern; Winnie Daamen; Serge Hoogendoorn

doi:10.1016/j.cstp.2022.03.006

Bicycle network needs, solutions, and data collection systems: A theoretical framework and case studies

Giulia Reggiani, A. Maria Salomons, Merel Sterk, Yufei Yuan, Steve O'Hern, Winnie Daamen, Serge Hoogendoorn

Rakennustekniikka

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

7 Sitaatiot (Scopus)

24 Lataukset (Pure)

Abstrakti

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.

Alkuperäiskieli	Englanti
Sivut	927-939
Julkaisu	Case studies on transport policy
Vuosikerta	10
Numero	2
DOI - pysyväislinkit	https://doi.org/10.1016/j.cstp.2022.03.006
Tila	Julkaistu - kesäk. 2022
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Rahoitus

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. 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.

Julkaisufoorumi-taso

Jufo-taso 1

!!ASJC Scopus subject areas

Geography, Planning and Development
Transportation
Urban Studies

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Pääsy asiakirjaan

10.1016/j.cstp.2022.03.006Lisenssi: CC BY

1-s2.0-S2213624X2200058X-mainFinal published version, 1,34 MBLisenssi: CC BY

https://urn.fi/URN:NBN:fi:tuni-202207086011Lisenssi: CC BY

Siteeraa tätä

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title = "Bicycle network needs, solutions, and data collection systems: A theoretical framework and case studies",

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.",

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author = "Giulia Reggiani and Salomons, {A. Maria} and Merel Sterk and Yufei Yuan and Steve O'Hern and Winnie Daamen and Serge Hoogendoorn",

note = "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: {\textcopyright} 2022 World Conference on Transport Research Society",

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doi = "10.1016/j.cstp.2022.03.006",

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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

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SN - 2213-624X

VL - 10

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JO - Case studies on transport policy

JF - Case studies on transport policy

IS - 2

ER -

Bicycle network needs, solutions, and data collection systems: A theoretical framework and case studies

Abstrakti

Rahoitus

Julkaisufoorumi-taso

!!ASJC Scopus subject areas

YK:n kestävän kehityksen tavoitteet

Pääsy asiakirjaan

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