Development of a Bikeability Index to Assess the Bicycle-Friendliness of Urban Environments

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Open Journal of Civil Engineering

ISSN Print: 2164-3164
ISSN Online: 2164-3172
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"Development of a Bikeability Index to Assess the Bicycle-Friendliness of Urban Environments"
written by Patricia Jasmin Krenn, Pekka Oja, Sylvia Titze,
published by Open Journal of Civil Engineering, Vol.5 No.4, 2015

has been cited by the following article(s):

Google Scholar
CrossRef

[1]	Assessing bikeability with street view imagery and computer vision
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[2]	The Munich Bikeability Index: A Practical Approach for Measuring Urban Bikeability. Sustainability 2021, 13, 428
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[3]	Estimating Bicycle Demand in the Austin, Texas Area: Role of a Bikeability Index
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[4]	Web-based PPGIS application for participatory spatial planning in context of bikeability
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[5]	Bikeability and Emerging Phenomena in Cycling: Exploratory Analysis and Review
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[6]	The Munich Bikeability Index: a practical approach for measuring urban bikeability
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[7]	Decomposing cycling potentials employing the motility framework
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[8]	Promoting cycling through urban planning and development: a qualitative assessment of bikeability
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[9]	Bicycle Level of Service: Proposed Updated Pavement Quality Index
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[10]	Development of an information system for cycling navigation
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[11]	Realtors' Perceptions of Social and Physical Neighborhood Characteristics Associated with Active Living: A Canadian Perspective
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[12]	Does street greenery always promote active travel? Evidence from Beijing
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[13]	Asking the user: a perceptional approach for bicycle infrastructure design
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[14]	Replicability of cognitive map of the bicyclist perceived quality of service: a comparison between Bogotá and Medellín
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[15]	Level of traffic stress-based classification: A clustering approach for Bogotá, Colombia
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[16]	Cyclists' personal exposure to traffic-related air pollution and its influence on bikeability
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[17]	Development of a biking index for measuring Mediterranean cities mobility
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[18]	Spatial Factor—Using a Random Forest Classification Model to Measure an Internationally Comparable Urbanity Index
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[19]	Shaping sustainable travel behaviour: Attitude, skills, and access all matter
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[20]	Challenges Caused by Increased Use of E-Powered Personal Mobility Vehicles in European Cities
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[21]	Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments
	2020

[22]	Public transport analyzing using bee colony
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[23]	Attractiveness of Bike-Sharing Stations from a Multi-Modal Perspective: The Role of Objective and Subjective Features
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[24]	Road Safety Problems Associated with Increased use of e-Powered Personal Mobility Vehicles. Kaunas City Case Study
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[25]	18-02 Investigating and Prioritizing Factors for Quantifying Bikeability
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[26]	Analysis of Factors Influencing the Changes in the Use of Transport Modes in Kisumu, Kenya
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[27]	Bikeability: Assessing the Objectively Measured Environment in Relation to Recreation and Transportation Bicycling
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[28]	Barriers and Enabling Factors Affecting Satisfaction and Safety Perception with Use of Bicycle Roads in Seoul, South Korea
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[29]	Defining and assessing walkability: a concept for an integrated approach using surveys, biosensors and geospatial analysis
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[30]	Bicycle Level of Service for Route Choice—A GIS Evaluation of Four Existing Indicators with Empirical Data
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[31]	Exploring the influence of road network structure on cycling spatial behaviour using crowdsourced data
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[32]	Exploring the influence of road network structure on the spatial behaviour of cyclists using crowdsourced data
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[33]	Quantifying e-bike applicability by comparing travel time and physical energy expenditure: a case study of Japanese cities
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[34]	Envisioning a Complete Streets Prioritization Scheme for Georgia's Small and Medium-Sized Cities
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[35]	Dynamic scale approach for assessing bikeability with sensitivity for different user groups
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[36]	Inequalities in access to bike-and-ride opportunities: Findings for the city of Malmö
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[37]	Pyöräliikenteen edistäminen Helsingin seudulla–paikkatietotarkastelu pyöräliikenteen potentiaalin tunnistamiseksi
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[38]	Investigating and Prioritizing Factors for Quantifying Bikeability
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[39]	Bikeability–Urban structures supporting cycling. Effects of local, urban and regional scale urban form factors on cycling from home and workplace locations in …
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[40]	„Sensing Comfort “–der Einfluss von Fahrbahnoberflächen auf den objektiven Fahrkomfort während des Fahrradfahrens
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[41]	Sensing comfort in bicycling in addition to travel data
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[42]	Bikeability in Basel
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[43]	Diseño de una metodología para evaluación de accesibilidad de transporte no motorizado
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[44]	Developing a bikeability index to enable the assessment of Transit-Oriented Development (TOD) nodes.
	2017

[45]	Correlates of Bicycling for Recreation and Transportation: Ecological Approach
	ProQuest Dissertations Publishing, 2017

[46]	A bikeability index for Curitiba (Brazil)
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[47]	도시 근린의 자전거이용친화도 구성영역 및 지역사회 맥락 탐색: 서울시 일개구를 대상으로
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[48]	Developing a bikeability index to enable the assessment of Transit-Oriented Development (TOD) nodes: case study in Arnhem-Nijmegen region, Netherlands.
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[49]	Bicycle planning–A literature review
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[50]	UDI Volume 62 (June 2019)


[51]	AS A DETERMINANT OF PHYSICAL ACTIVITY

[1]	Asking the user: a perceptional approach for bicycle infrastructure design International Journal of Sustainable Transportation, 2022 DOI:10.1080/15568318.2020.1871127

[2]	Intelligent Transport Systems Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2022 DOI:10.1007/978-3-030-97603-3_10

[3]	Measure the ability of cities to be biked via weighted parameters, using GIS tools. The case study of Zografou in Greece Transportation Research Procedia, 2022 DOI:10.1016/j.trpro.2022.02.008

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[6]	Measure the ability of cities to be biked via weighted parameters, using GIS tools. The case study of Zografou in Greece Transportation Research Procedia, 2022 DOI:10.1016/j.trpro.2022.02.008

[7]	How street greenery facilitates active travel for university students Journal of Transport & Health, 2022 DOI:10.1016/j.jth.2022.101393

[8]	A novel methodology for micromobility system assessment using multi-criteria analysis Case Studies on Transport Policy, 2022 DOI:10.1016/j.cstp.2022.03.010

[9]	Estimating Bicycle Demand in the Austin, Texas Area: Role of a Bikeability Index Journal of Urban Planning and Development, 2021 DOI:10.1061/(ASCE)UP.1943-5444.0000725

[10]	Promoting cycling through urban planning and development: a qualitative assessment of bikeability Urban, Planning and Transport Research, 2021 DOI:10.1080/21650020.2021.1938195

[11]	The Munich Bikeability Index: A Practical Approach for Measuring Urban Bikeability Sustainability, 2021 DOI:10.3390/su13010428

[12]	Bikeability and Emerging Phenomena in Cycling: Exploratory Analysis and Review Sustainability, 2021 DOI:10.3390/su13042394

[13]	Development of an information system for cycling navigation Transportation Research Procedia, 2021 DOI:10.1016/j.trpro.2021.01.012

[14]	Decomposing cycling potentials employing the motility framework Journal of Transport Geography, 2021 DOI:10.1016/j.jtrangeo.2021.102984

[15]	Estimating Bicycle Demand in the Austin, Texas Area: Role of a Bikeability Index Journal of Urban Planning and Development, 2021 DOI:10.1061/(ASCE)UP.1943-5444.0000725

[16]	Asking the user: a perceptional approach for bicycle infrastructure design International Journal of Sustainable Transportation, 2021 DOI:10.1080/15568318.2020.1871127

[17]	Promoting cycling through urban planning and development: a qualitative assessment of bikeability Urban, Planning and Transport Research, 2021 DOI:10.1080/21650020.2021.1938195

[18]	Bicycle Level of Service: Proposed Updated Pavement Quality Index Transportation Research Record: Journal of the Transportation Research Board, 2021 DOI:10.1177/03611981211026661

[19]	Age-Friendly Built Environment Encyclopedia, 2021 DOI:10.3390/encyclopedia1030060

[20]	Assessing bikeability with street view imagery and computer vision Transportation Research Part C: Emerging Technologies, 2021 DOI:10.1016/j.trc.2021.103371

[21]	Modeling the Demand for Shared E-Scooter Services Transportation Research Record: Journal of the Transportation Research Board, 2021 DOI:10.1177/03611981211051620

[22]	‘Cul-de-sacs make you fat’: homebuyer and land developer perceptions of neighbourhood walkability, bikeability, livability, vibrancy, and health Cities & Health, 2021 DOI:10.1080/23748834.2021.1979759

[23]	Assessing bikeability with street view imagery and computer vision Transportation Research Part C: Emerging Technologies, 2021 DOI:10.1016/j.trc.2021.103371

[24]	Bicycle Level of Service: Proposed Updated Pavement Quality Index Transportation Research Record: Journal of the Transportation Research Board, 2021 DOI:10.1177/03611981211026661

[25]	Decomposing cycling potentials employing the motility framework Journal of Transport Geography, 2021 DOI:10.1016/j.jtrangeo.2021.102984

[26]	Promoting cycling through urban planning and development: a qualitative assessment of bikeability Urban, Planning and Transport Research, 2021 DOI:10.1080/21650020.2021.1938195

[27]	Assessing bikeability with street view imagery and computer vision Transportation Research Part C: Emerging Technologies, 2021 DOI:10.1016/j.trc.2021.103371

[28]	Promoting cycling through urban planning and development: a qualitative assessment of bikeability Urban, Planning and Transport Research, 2021 DOI:10.1080/21650020.2021.1938195

[29]	Development of a biking index for measuring Mediterranean cities mobility International Journal of Production Management and Engineering, 2020 DOI:10.4995/ijpme.2020.10834

[30]	Level of traffic stress-based classification: A clustering approach for Bogotá, Colombia Transportation Research Part D: Transport and Environment, 2020 DOI:10.1016/j.trd.2020.102420

[31]	ROAD SAFETY PROBLEMS ASSOCIATED WITH INCREASED USE OF E-POWERED PERSONAL MOBILITY VEHICLES. KAUNAS CITY CASE STUDY The 11th International Conference ENVIRONMENTAL ENGINEERING 11th ICEE SELECTED PAPERS , 2020 DOI:10.3846/enviro.2020.815

[32]	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, 2020 DOI:10.1016/j.tra.2020.07.010

[33]	Spatial Factor—Using a Random Forest Classification Model to Measure an Internationally Comparable Urbanity Index Urban Science, 2020 DOI:10.3390/urbansci4030036

[34]	Shaping sustainable travel behaviour: Attitude, skills, and access all matter Transportation Research Part D: Transport and Environment, 2020 DOI:10.1016/j.trd.2020.102566

[35]	Does street greenery always promote active travel? Evidence from Beijing Urban Forestry & Urban Greening, 2020 DOI:10.1016/j.ufug.2020.126886

[36]	Cyclists’ personal exposure to traffic-related air pollution and its influence on bikeability Transportation Research Part D: Transport and Environment, 2020 DOI:10.1016/j.trd.2020.102563

[37]	Public transport analyzing using bee colony 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO), 2020 DOI:10.23919/MIPRO48935.2020.9245432

[38]	Attractiveness of Bike-Sharing Stations from a Multi-Modal Perspective: The Role of Objective and Subjective Features Sustainability, 2020 DOI:10.3390/su12219062

[39]	Realtors’ Perceptions of Social and Physical Neighborhood Characteristics Associated with Active Living: A Canadian Perspective International Journal of Environmental Research and Public Health, 2020 DOI:10.3390/ijerph17239150

[40]	Bikeability: Assessing the Objectively Measured Environment in Relation to Recreation and Transportation Bicycling Environment and Behavior, 2019 DOI:10.1177/0013916518825289

[41]	Barriers and Enabling Factors Affecting Satisfaction and Safety Perception with Use of Bicycle Roads in Seoul, South Korea International Journal of Environmental Research and Public Health, 2019 DOI:10.3390/ijerph16050773

[42]	Bikeability in Basel Transportation Research Record: Journal of the Transportation Research Board, 2019 DOI:10.1177/0361198119839982

[43]	Bicycle Level of Service for Route Choice—A GIS Evaluation of Four Existing Indicators with Empirical Data ISPRS International Journal of Geo-Information, 2019 DOI:10.3390/ijgi8050214

[44]	Exploring the influence of road network structure on the spatial behaviour of cyclists using crowdsourced data Environment and Planning B: Urban Analytics and City Science, 2019 DOI:10.1177/2399808319863810

[45]	Inequalities in access to bike-and-ride opportunities: Findings for the city of Malmö Transportation Research Part A: Policy and Practice, 2019 DOI:10.1016/j.tra.2019.09.062

[46]	Challenges Caused by Increased Use of E-Powered Personal Mobility Vehicles in European Cities Sustainability, 2019 DOI:10.3390/su12010273

[47]	Bikeability – Urban structures supporting cycling. Effects of local, urban and regional scale urban form factors on cycling from home and workplace locations in Denmark Journal of Transport Geography, 2018 DOI:10.1016/j.jtrangeo.2018.04.015

[48]	Sensing comfort in bicycling in addition to travel data Transportation Research Procedia, 2018 DOI:10.1016/j.trpro.2018.10.034

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	1655362766

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