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Machine Learning and Image Recognition Technologies to Identify Built Environment Barriers and Incentives to Walk
16 references·6 citing·40 second hop
Machine Learning and Image Recognition Technologies to Identify Built Environment Barriers and Incentives to Walk (2022)Machine Learning and Image Recognition Te…Urban walkability considering pedestrians’ perceptions of the built environment: a 10-year review and a case study in a medium-sized city in Latin America (2019)Urban walkability considering…Multivariate Data Analysis (2018)Multivariate Data AnalysisMeasuring walkability for distinct pedestrian groups with a participatory assessment method: A case study in Lisbon (2016)Measuring walkability for dis…What is a walkable place? The walkability debate in urban design (2015)What is a walkable place? The…A review on the effects of physical built environment attributes on enhancing walking and cycling activity levels within residential neighborhoods (2015)A review on the effects of ph…The role of neighborhood parks as crime generators (2011)The role of neighborhood park…Travel and the Built Environment (2010)Travel and the Built Environm…Mixed land use and walkability: Variations in land use measures and relationships with BMI, overweight, and obesity (2009)Mixed land use and walkabilit…Healthy Neighborhoods: Walkability and Air Pollution (2009)Healthy Neighborhoods: Walkab…Property values, parks, and crime: A hedonic analysis in Baltimore, MD (2008)Property values, parks, and c…Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review (2006)Reporting Structural Equation…A Beginner's Guide to Structural Equation Modeling (2004)A Beginner's Guide to Structu…Economic Value of Walkability (2003)Economic Value of WalkabilityTravel and the Built Environment: A Synthesis (2001)Travel and the Built Environm…Travel demand and the 3Ds: Density, diversity, and design (1997)Travel demand and the 3Ds: De…Significance tests and goodness of fit in the analysis of covariance structures. (1980)Significance tests and goodne…Urban roads: Enablers or barriers to walking? insights from Kigali, Rwanda (2025)Urban roads: Enablers or barr…The Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space (2025)The Fundamental Issues and De…Evaluation of Pedestrian Networks in Urban Rail Transit Station Catchment Areas Using Entropy Weight Method and TOPSIS Models: Empirical Evidence from Nanjing, China (2025)Evaluation of Pedestrian Netw…City for people, city for cars. Analyzing maximum walkability areas through machine learning algorithms and open-source data (2025)City for people, city for car…Active mobility, equity and inclusion (2025)Active mobility, equity and i…Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review (2024)Past, Present, and Future Per…Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation (2003)Methods of Meta-Analysis: Correcting Error and Bias in Research Findings (2015)Cycling or walking? Determinants of mode choice in the Netherlands (2018)Neighbourhood walkability: A review and bibliometric analysis (2019)Pathways from built environment to health: A conceptual framework linking behavior and exposure-based impacts (2019)Power analysis and determination of sample size for covariance structure modeling. (1996)Principles and Practice of Structural Equation Modeling (1998)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Reporting practices in confirmatory factor analysis: An overview and some recommendations. (2009)Ten Steps in Scale Development and Reporting: A Guide for Researchers (2017)Finding latent groups in observed data: A primer on latent profile analysis in Mplus for applied researchers (2019)Impacts of Mixed Use and Density on Utilization of Three Modes of Travel: Single-Occupant Vehicle, Transit, and Walking (1994)A micro-analysis of land use and travel in five neighborhoods in the San Francisco Bay Area (1997)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)AN ECOLOGICAL APPROACH TO CREATING ACTIVE LIVING COMMUNITIES (2005)Multiple Factor Analysis (2007)Statistical Methods for Meta-Analysis (1988)Introduction to Meta‐Analysis (2009)Role of Built Environments in Physical Activity, Obesity, and Cardiovascular Disease (2012)City planning and population health: a global challenge (2016)Introducing the “15-Minute City”: Sustainability, Resilience and Place Identity in Future Post-Pandemic Cities (2021)Introduction to Meta‐Analysis (2021)Active transportation and physical activity: opportunities for collaboration on transportation and public health research (2004)The Influences of the Built Environment and Residential Self-Selection on Pedestrian Behavior: Evidence from Austin, TX (2005)Part II: Policy instruments for sustainable road transport (2010)The scales of human mobility (2020)A Reliability Coefficient for Maximum Likelihood Factor Analysis (1973)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)Increasing walking (2005)Conducting a critical interpretive synthesis of the literature on access to healthcare by vulnerable groups (2006)What is walkability? The urban DMA (2019)Walkability and Its Relationships With Health, Sustainability, and Livability: Elements of Physical Environment and Evaluation Frameworks (2021)How the built environment affects physical activity (2002)The benefits of being present: Mindfulness and its role in psychological well-being. (2003)Structural Equation Modeling: A Second Course (2007)Lateral Collinearity and Misleading Results in Variance-Based SEM: An Illustration and Recommendations (2012)PLS-SEM STATISTICAL PROGRAMS: A REVIEW (2021)“PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances (2022)5. Leadership of organisations (2022)
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References

  • 1980Significance tests and goodness of fit in the analysis of covariance structures.19,061 cited
  • 2006Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review6,936 cited
  • 2004A Beginner's Guide to Structural Equation Modeling6,189 cited
  • 2010Travel and the Built Environment5,396 cited
  • 1997Travel demand and the 3Ds: Density, diversity, and design4,588 cited
  • 2018Multivariate Data Analysis3,516 cited
  • 2001Travel and the Built Environment: A Synthesis1,882 cited
  • 2015What is a walkable place? The walkability debate in urban design508 cited
  • 2003Economic Value of Walkability434 cited
  • 2015A review on the effects of physical built environment attributes on enhancing walking and cycling activity levels within residential neighborhoods407 cited
  • 2016Measuring walkability for distinct pedestrian groups with a participatory assessment method: A case study in Lisbon406 cited
  • 2009Mixed land use and walkability: Variations in land use measures and relationships with BMI, overweight, and obesity311 cited
  • 2008Property values, parks, and crime: A hedonic analysis in Baltimore, MD311 cited
  • 2009Healthy Neighborhoods: Walkability and Air Pollution289 cited
  • 2019

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Urban walkability considering pedestrians’ perceptions of the built environment: a 10-year review and a case study in a medium-sized city in Latin America
282 cited
  • 2011The role of neighborhood parks as crime generators260 cited
  • Cited by

    • 2025The Fundamental Issues and Development Trends of AI-Driven Transformations in Urban Transit and Urban Space12 cited
    • 2024Past, Present, and Future Perspectives on the Integration of AI Into Walkability Assessment Tools: A Systematic Review7 cited
    • 2025City for people, city for cars. Analyzing maximum walkability areas through machine learning algorithms and open-source data6 cited
    • 2025Active mobility, equity and inclusion6 cited
    • 2025Urban roads: Enablers or barriers to walking? insights from Kigali, Rwanda5 cited
    • 2025Evaluation of Pedestrian Networks in Urban Rail Transit Station Catchment Areas Using Entropy Weight Method and TOPSIS Models: Empirical Evidence from Nanjing, China4 cited