Open Journal of Civil Engineering

Open Journal of Civil Engineering

ISSN Print: 2164-3164
ISSN Online: 2164-3172
www.scirp.org/journal/ojce
E-mail: ojce@scirp.org
"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):
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[2] Planning bikeway network for urban commute based on mobile phone data: A case study of Beijing
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[5] Preferred streets: assessing the impact of the street environment on cycling behaviors using the geographically weighted regression
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[8] Indikatorengestützte Ansätze zur nachhaltigen urbanen Mobilität: Ergebnisse einer Literaturanalyse
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[9] School bikeability index: A case study of primary schools in Stockholm
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[10] Applying a combination of cutting-edge industry 4.0 processes towards fabricating a customized component
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[11] Multifaceted examination of bicycle-tourism experiences: Theoretical integration, non-linear dynamics, and segment heterogeneity
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[12] A Planning Support System for Boosting Bikeability in Seoul
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[13] How to Measure Sustainability? An Open-Data Approach
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[14] Play&go corporate: An end-to-end solution for facilitating urban cyclability
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[15] An Ontology-Based Approach for Harmonizing Metrics in Bike Network Evaluations
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[16] Exploring the Relationship Between Perceived Bikeability and Gender-Inclusive Micromobility Usage: A Study Across 53 French Cities
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[17] Urban road cyclability: indicators for the municipality of Belo Horizonte-MG, Brazil
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[18] The contribution of a universal network analysis tool for cycling infrastructure
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[19] Advancing Redwood City's Bicycle Infrastructure Through a Geodesign Workflow
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[20] Assessment of Urban Bikeability with Structural Equation Model
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[21] Modeling the demand for shared e-scooter services
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[22] Determining Sustanaibility Of Urban Settlement In The Center Of City Yogyakarta Indonesia
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[23] Geospatial indicators of bikeability index as cycle-friendly city design: a systematic review
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[24] Evaluating the TOPODATA digital elevation model as a source of information for cycling planning purposes: a case study for a small-sized Brazilian city
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[25] Connected bikeability in London: which localities are better connected by bike and does this matter?
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[26] BIKE-FRIENDLY STREETS IN ITHACA, NY: THE ROLE OF BUILT ENVIRONMENT ON REVEALED PREFERENCE FOR SHARING-BIKE ROUTE CHOICE IN SMALL …
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[27] Avaliação da Usabilidade do MDE TOPODATA para Mensurar a Acessibilidade de Ciclistas: Um Estudo de Caso para uma Cidade Pequena
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[28] Ciclismo urbano Avances y retos para el caso de Bogotá
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[29] Nível de estresse de ciclistas e geoprocessamento de dados abertos combinados para a definição de redes cicloviárias em cidades de pequeno porte
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[30] Development of a bikeability assessment tool for Dutch cities
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[31] StadtGesundheit & Mobilität: Eine Evaluation von Fahrradinfrastrukturprojekten unter Verwendung des Bikeability-Index sowie der Anwendung des „Health Economic …
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[32] Automatização de um modelo de análise espacial em SIG para a avaliação do potencial de mobilidade suave
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[33] Spatial multi-criteria analysis for road segment cycling suitability assessment
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[34] How street greenery facilitates active travel for university students
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[35] Built environment bikeability as a predictor of cycling frequency: Lessons from Barcelona
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[36] Another Form of Neighborhood Effect Bias: The Neighborhood Effect Polarization Problem (NEPP)
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[37] An End-to-End Solution for Enabling Urban Cyclability: The BIKE2WORK Experience
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[38] A novel methodology for micromobility system assessment using multi-criteria analysis
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[39] Pedaling through a virtually redesigned city: Evaluation of traffic planning and urban design factors influencing bicycle traffic
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[40] Where to improve cycling infrastructure? Assessing bicycle suitability and bikeability with open data in the city of Paris
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[41] Measure the ability of cities to be biked via weighted parameters, using GIS tools. the case study of Zografou in Greece
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[42] Analysis of the walking and cycling networks of the metropolitan area of Barcelona
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[43] Geospatial indicators of bikeability index as cyclefriendly city design: a systematic review
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[44] Conducting Interviews with Maps and Videos to Capture Cyclists' Skills and Expertise
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[45] A decision support system (DSS) for the perceived bikeability upgrade: application to the case of the city of Milan (Italy)
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[46] Age-Friendly Built Environment. Encyclopedia 2021, 1, 781–791
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[47] The built environment as a determinant of physical activity: longitudinal associations between neighborhood characteristics, urban planning processes, and physical …
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[48] Trialling the Gross Potential for Cycling: Exploring the link with cycling demand in the Netherlands.
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[49] Age-Friendly Built Environment
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[50] THE BUILT ENVIRONMENT AS A DETERMINANT OF PHYSICAL ACTIVITY
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[51] Promoting cycling through urban planning and development: a qualitative assessment of bikeability
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[52] Bicycle Level of Service: Proposed Updated Pavement Quality Index
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[53] Development of an information system for cycling navigation
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[54] 'Cul-de-sacs make you fat': homebuyer and land developer perceptions of neighbourhood walkability, bikeability, livability, vibrancy, and health
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[55] Análise multicritério espacial aplicada à avaliação do potencial de mobilidade suave
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[56] Cycling Analytics for Urban Environments: From Vertical Models to Horizontal Innovation
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[57] Análise Multicritério Espacial Aplicada à Avaliação do Potencial de Mobilidade Suave: O Caso das Cidades de Encosta
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[58] Assessing bikeability with street view imagery and computer vision
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[59] The Munich Bikeability Index: A Practical Approach for Measuring Urban Bikeability. Sustainability 2021, 13, 428
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[60] Estimating Bicycle Demand in the Austin, Texas Area: Role of a Bikeability Index
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[61] Web-based PPGIS application for participatory spatial planning in context of bikeability
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[62] Bikeability and Emerging Phenomena in Cycling: Exploratory Analysis and Review
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[63] The Munich Bikeability Index: a practical approach for measuring urban bikeability
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[64] Decomposing cycling potentials employing the motility framework
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[65] Realtors' Perceptions of Social and Physical Neighborhood Characteristics Associated with Active Living: A Canadian Perspective
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[66] Does street greenery always promote active travel? Evidence from Beijing
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[67] Asking the user: a perceptional approach for bicycle infrastructure design
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[68] Replicability of cognitive map of the bicyclist perceived quality of service: a comparison between Bogotá and Medellín
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[69] Level of traffic stress-based classification: A clustering approach for Bogotá, Colombia
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[70] Cyclists' personal exposure to traffic-related air pollution and its influence on bikeability
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[71] Development of a biking index for measuring Mediterranean cities mobility
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[72] Spatial Factor—Using a Random Forest Classification Model to Measure an Internationally Comparable Urbanity Index
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[73] Shaping sustainable travel behaviour: Attitude, skills, and access all matter
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[74] Challenges Caused by Increased Use of E-Powered Personal Mobility Vehicles in European Cities
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[75] Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments
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[76] Public transport analyzing using bee colony
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[77] Attractiveness of Bike-Sharing Stations from a Multi-Modal Perspective: The Role of Objective and Subjective Features
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[78] Road Safety Problems Associated with Increased use of e-Powered Personal Mobility Vehicles. Kaunas City Case Study
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[79] Mobilidade urbana sustentável: um modelo para estimar a ciclabilidade viária de Belo Horizonte/MG
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[80] Level of trac stress-based classification: A clustering approach for Bogotá, Colombia
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[81] Analysis of Factors Influencing the Changes in the use of Transport Modes in Kisumu, Kenya.
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[82] 18-02 Investigating and Prioritizing Factors for Quantifying Bikeability
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[83] Analysis of Factors Influencing the Changes in the Use of Transport Modes in Kisumu, Kenya
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[84] Bikeability: Assessing the Objectively Measured Environment in Relation to Recreation and Transportation Bicycling
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[85] Barriers and Enabling Factors Affecting Satisfaction and Safety Perception with Use of Bicycle Roads in Seoul, South Korea
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[86] Defining and assessing walkability: a concept for an integrated approach using surveys, biosensors and geospatial analysis
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[87] Bicycle Level of Service for Route Choice—A GIS Evaluation of Four Existing Indicators with Empirical Data
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[88] Exploring the influence of road network structure on cycling spatial behaviour using crowdsourced data
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[89] Exploring the influence of road network structure on the spatial behaviour of cyclists using crowdsourced data
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[90] Quantifying e-bike applicability by comparing travel time and physical energy expenditure: a case study of Japanese cities
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[91] Envisioning a Complete Streets Prioritization Scheme for Georgia's Small and Medium-Sized Cities
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[92] Dynamic scale approach for assessing bikeability with sensitivity for different user groups
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[93] Inequalities in access to bike-and-ride opportunities: Findings for the city of Malmö
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[94] Pyöräliikenteen edistäminen Helsingin seudulla–paikkatietotarkastelu pyöräliikenteen potentiaalin tunnistamiseksi
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[95] Investigating and Prioritizing Factors for Quantifying Bikeability
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[96] 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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[97] „Sensing Comfort “–der Einfluss von Fahrbahnoberflächen auf den objektiven Fahrkomfort während des Fahrradfahrens
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[98] Sensing comfort in bicycling in addition to travel data
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[99] Bikeability in Basel
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[100] Diseño de una metodología para evaluación de accesibilidad de transporte no motorizado
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[101] Developing a bikeability index to enable the assessment of Transit-Oriented Development (TOD) nodes.
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[102] Correlates of Bicycling for Recreation and Transportation: Ecological Approach
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[103] A bikeability index for Curitiba (Brazil)
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[105] 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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[106] Bicycle planning–A literature review
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[107] Transportation Research Interdisciplinary Perspectives
[108] Impact of Bicycle Lanes on Bicycle Commuter Rates
[109] Fahrradfreundlichkeit in Gewerbegebieten: Fallbeispiele aus dem Ruhrgebiet
[110] Der Mobilitätsindex: Entwicklung eines integrierten Planungsinstruments für Mobilität
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