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Developing a Pedestrian Satisfaction Prediction Model Based on Machine Learning Algorithms
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Developing a Pedestrian Satisfaction Prediction Model Based on Machine Learning Algorithms (2019)Developing a Pedestrian Satisfaction Pred…Built environment, walking trip for different purposes, and pedestrian satisfaction (2016)Built environment, walking tr…An Analysis of Neighborhood Environment Affecting Walking Satisfaction - Focused on the 'Seoul Survey' 2013 (2016)An Analysis of Neighborhood E…Meso- or micro-scale? Environmental factors influencing pedestrian satisfaction (2014)Meso- or micro-scale? Environ…An Analysis of Street Environment Affecting Pedestrian Walking Satisfaction for Different Age Groups (2014)An Analysis of Street Environ…A THEORETICAL AND METHODOLOGICAL APPROACH TO THE STUDY OF RESIDENTIAL SATISFACTION (1997)A THEORETICAL AND METHODOLOGI…Analysis of Influencing Factors of Walking Satisfaction by Purpose Using Interpretable Machine Learning (2022)Analysis of Influencing Facto…Travel demand and the 3Ds: Density, diversity, and design (1997)Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures (2003)Neighborhood-Based Differences in Physical Activity: An Environment Scale Evaluation (2003)A qualitative study on the role of the built environment for short walking trips (2015)Objective scoring of streetscape walkability related to leisure walking: Statistical modeling approach with semantic segmentation of Google Street View images (2020)Walk Accessibility to Metro Stations: An analysis based on Meso- or Micro-scale Built Environment Factors (2020)The Death and Life of Great American Cities (1962)Handbook of environmental psychology (1987)Measuring residential satisfaction: a residential environmental satisfaction scale (RESS) (2007)Assessment of residential satisfaction in newly designed public low-cost housing in Kuala Lumpur, Malaysia (2009)Neighborhood satisfaction, physical and perceived naturalness and openness (2009)The Death and Life of Great American Cities (2015)Linking objectively measured physical activity with objectively measured urban form (2005)Neighborhood Design and Walking Trips in Ten U.S. Metropolitan Areas (2007)Analysis of Determining Factors of Urban Vitality with Mobile Phone Location-Based Origin-Destination Bigdata by Travel Purpose : Using the PageRank Algorithm and SHAP Machine Learning (2022)A Study on Pedestrian Satisfaction Among the Mobility Disadvantaged Persons According to Urban Form (2023)Neighborhood built environment and income: Examining multiple health outcomes (2009)The development of a walkability index: application to the Neighborhood Quality of Life Study (2009)In search of causality: a systematic review of the relationship between the built environment and physical activity among adults (2011)Influencing Factors of Commuting Time by Income Class : A Machine Learning Approach (2023)Analysis of Neighborhood Environmental Characteristics Affecting Walking Activity Time - Focused on the Difference between Subjectively Measured- and Objectively Measured-Neighborhood Environment - (2016)
this work references cited by second hop

References

  • 1997A THEORETICAL AND METHODOLOGICAL APPROACH TO THE STUDY OF RESIDENTIAL SATISFACTION635 cited
  • 2014Meso- or micro-scale? Environmental factors influencing pedestrian satisfaction244 cited
  • 2016An Analysis of Neighborhood Environment Affecting Walking Satisfaction - Focused on the 'Seoul Survey' 201314 cited
  • 2014An Analysis of Street Environment Affecting Pedestrian Walking Satisfaction for Different Age Groups13 cited
  • 2016Built environment, walking trip for different purposes, and pedestrian satisfaction8 cited

Cited by

  • 2022Analysis of Influencing Factors of Walking Satisfaction by Purpose Using Interpretable Machine Learning6 cited

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