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Understanding bikeability

A methodology to assess urban networks

Datos Bibliográficos

ID19337752
AutoresGiulia Reggiani (0000-0003-4955-6950, Delft University of Technology, autor de correspondencia), Tim van Oijen (Delft University of Technology), Homayoun Hamedmoghadam (0000-0003-3467-724X, Monash University), Winnie Daamen (0000-0003-4518-4184, Delft University of Technology), Hai L Vu (0000-0001-6984-2060, Monash University), Serge Hoogendoorn (0000-0002-1579-1939, Delft University of Technology)
Año2022
Volumen49
Número3
Páginas897-925
Fecha de publicación2022-06-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaTransportation (JOURNAL)
Identificadores de la revistaISSN: 0049-4488 • E-ISSN: 1572-9435
EditorialSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-021-10198-0
OpenAlexW3169192492
IdiomaEN
Citas recibidas13
Referencias citadas46

A fully separated bicycle network from vehicular traffic is not realistic even for the most bicycle-friendly cities. Thus, all around the world urban cycling entails switching between streets of different safety, convenience, and comfort levels. As a consequence, the quality of bicycle networks should be evaluated not based on one but multiple factors and by considering the different user preferences regarding these factors. More comprehensive methodologies to assess urban bicycle networks are essential to the operation and planning of modern city transportation. This work proposes a multi-objective methodology to assess—what we refer to as—bikeability between origin–destination locations and over the entire network, useful for evaluation and planning of bicycle networks. We do so by introducing the concept of bikeability curves which allows us to assess the quality of cycling in a city network with respect to the heterogeneity of user preferences. The application of the proposed methodology is demonstrated on two cities with different bike cultures: Amsterdam and Melbourne. Our results suggest the effectiveness of bikeability curves in describing the characteristic features and differences in the two networks

Civil engineering · Cycling · Geography · Network planning and design · Quality (philosophy) · Street network · Telecommunications · Transport engineering · Transportation planning · Urban planning · Work (physics) · Computer Science · Engineering · Transportation Planning and Optimization · Urban Transport and Accessibility · Wildlife-Road Interactions and Conservation

  • Automated Detection of Missing Links in Bicycle Networks

    Open Access•Anastassia Vybornova, Tiago Cunha et al.•Geographical Analysis•2023

  • How Good Is Open Bicycle Network Data? A Countrywide Case Study of Denmark

    Open Access•Ane Rahbek Vierø, Anastassia Vybornova et al.•Geographical Analysis•2025

  • An ontology-based approach for harmonizing metrics in bike network evaluations

    Open Access•Ayda Grisiute, Nina Wiedemann et al.•Computers Environment and Urban…•2024

  • Network Analysis of the Danish Bicycle Infrastructure

    Open Access•Ane Rahbek Vierø, Michael Szell•Geographical Analysis•2025

  • Evaluating the bikeability of urban streets using dockless shared bike trajectory data

    Open Access•Dan Wang, Meihan Jin et al.•Sustainable Cities and Society•2024

  • Adaptive scootability index

    Open Access•Shuting Chen, Zhejing Cao et al.•Journal of Transport Geography•2025

  • Revealing the multi-dimensional nature and spatial patterns of perceived safety in Athens and Munich

    Open Access•Panagiotis G Tzouras, Anna Takayasu et al.•Journal of Transport Geography•2026

  • Cycling Through the Pandemic

    Open Access•Nathalie Ortar, P Rérat•Cycling Through the Pandemic•2024

  • Evaluating quality of service for bicyclists on rural highways

    Open Access•Ana Tsui Moreno, Yangqian Cai et al.•Transportation•2025

  • Exploring the effect of perceived safety in first/last mile mode choices

    Open Access•Panagiotis G Tzouras, Valentina Pastia et al.•Transportation•2025

  • Understanding the impact of city-wide cycling corridors on cycling mode share among different demographic clusters in Greater Melbourne, Australia

    Open Access•Afshin Jafari, Steve Pemberton et al.•Transportation•2025

  • Assessment methods for bicycle environment safety and comfort

    Open Access•Tufail Ahmed, Ali Pirdavani et al.•Sustainable Futures•2025

  • Modelling active travel accessibility at the micro-scale using multi-source built environment data

    Open Access•Corin Staves, Irena Itova et al.•Computers Environment and Urban…•2025

  • Multilayer networks

    Mikko Kivelä, Àlex Arenas et al.•Journal of Complex Networks•2014

  • Where do cyclists ride? A route choice model developed with revealed preference GPS data

    Open Access•Joseph Broach, Jennifer Dill et al.•Transportation Research Part A…•2012

  • Making Cycling Irresistible

    John Pucher, Ralph Buehler•Transport Reviews•2008

  • OSMnx

    Open Access•Geoff Boeing•Computers Environment and Urban…•2017

  • A GPS-based bicycle route choice model for San Francisco, California

    Jeffrey Hood, Elizabeth Sall et al.•Transportation Letters•2011

  • The structure and dynamics of multilayer networks

    Open Access•S Boccaletti, G Bianconi et al.•Physics Reports•2014

  • A Scoping Review of Bikeability Assessment Methods

    Open Access•Debra Kellstedt, John O Spengler et al.•Journal of Community Health•2021

  • The missing link

    Open Access•Jessica Schoner, Jessica E Schoner et al.•Transportation•2014

  • A detailed analysis of how an urban trail system affects cyclists’ travel

    Open Access•Kevin J Krizek, Ahmed El-Geneidy et al.•Transportation•2007

  • An analysis of bicycle route choice preferences in Texas, US

    Open Access•Ipek N Sener, Naveen Eluru et al.•Transportation•2009

Obras citantes distintas13
Citas por año4,33
Intervalo de citas2023 - 2026 (4)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 13
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