SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Exploring the Spatiotemporal Associations Between Ride-Hailing Demand, Visual Walkability, and the Built Environment: Evidence from Chengdu, China
16 references·0 citing·42 second hopsampled
Exploring the Spatiotemporal Associations Between Ride-Hailing Demand, Visual Walkability, and the Built Environment: Evidence from Chengdu, China (2025)Exploring the Spatiotemporal Associations…How are Neighborhood and Street-Level Walkability Factors Associated with Walking Behaviors? A Big Data Approach Using Street View Images (2021)How are Neighborhood and Stre…Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning (2019)Social inequalities in neighb…Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies (2019)Monitoring housing rental pri…Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China (2018)Check-in behaviour and spatio…Assessing the potential for carbon emissions savings from replacing short car trips with walking and cycling using a mixed GPS-travel diary approach (2018)Assessing the potential for c…“Does Compact Development Make People Drive Less?” The Answer Is Yes (2017)“Does Compact Development Mak…Measuring walkability for distinct pedestrian groups with a participatory assessment method: A case study in Lisbon (2016)Measuring walkability for dis…Does Compact Development Make People Drive Less? (2016)Does Compact Development Make…Built environmental impacts on commuting mode choice and distance: Evidence from Shanghai (2016)Built environmental impacts o…Comparing measures of urban land use mix (2013)Comparing measures of urban l…Effect of increasing active travel in urban England and Wales on costs to the National Health Service (2012)Effect of increasing active t…Correlating mobile phone usage and travel behavior – A case study of Harbin, China (2011)Correlating mobile phone usag…Travel and the Built Environment (2010)Travel and the Built Environm…Neighborhood Environment Walkability Scale (2006)Neighborhood Environment Walk…Linking objectively measured physical activity with objectively measured urban form (2005)Linking objectively measured …Travel demand and the 3Ds: Density, diversity, and design (1997)Travel demand and the 3Ds: De…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)AN ECOLOGICAL APPROACH TO CREATING ACTIVE LIVING COMMUNITIES (2005)Multiple Factor Analysis (2007)On the measurement of inequality (1970)Revealing travel patterns and city structure with taxi trip data (2015)The 15-minute walkable neighborhoods: Measurement, social inequalities and implications for building healthy communities in urban China (2019)Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)Alternative Ways of Assessing Model Fit (1992)Principles and Practice of Structural Equation Modeling (1998)Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives (1999)Built Environment Correlates of Walking (2008)Measuring the Built Environment for Physical Activity (2009)What is a walkable place? The walkability debate in urban design (2015)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)Many Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality (2006)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)Conditional logit analysis of qualitative choice behavior (1972)Synergistic effects of the built environment and commuting programs on commute mode choice (2018)Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data (2019)Towards a cycling-friendly city: An updated review of the associations between built environment and cycling behaviors (2007–2017) (2019)META‐REGRESSION ANALYSIS: A QUANTITATIVE METHOD OF LITERATURE SURVEYS (1989)Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009)Applying gradient boosting decision trees to examine non-linear effects of the built environment on driving distance in Oslo (2018)How does the station-area built environment influence Metrorail ridership? Using gradient boosting decision trees to identify non-linear thresholds (2019)Non-linear associations between built environment and active travel for working and shopping: An extreme gradient boosting approach (2021)Spatial Processes, Models and Applications (1983)Interactive Spatial Data Analysis (1995)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Spatiotemporal distribution characteristics and mechanism analysis of urban population density: A case of Xi'an, Shaanxi, China (2018)Portraying the spatial dynamics of urban vibrancy using multisource urban big data (2019)GeoDa : An Introduction to Spatial Data Analysis (2005)Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health (2019)Subjective and objective measures of streetscape perceptions: Relationships with property value in Shanghai (2022)Subjective or objective measures of street environment, which are more effective in explaining housing prices? (2022)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)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2010Travel and the Built Environment5,396 cited
  • 1997Travel demand and the 3Ds: Density, diversity, and design4,588 cited
  • 2005Linking objectively measured physical activity with objectively measured urban form1,553 cited
  • 2006Neighborhood Environment Walkability Scale820 cited
  • 2013Comparing measures of urban land use mix409 cited
  • 2016Measuring walkability for distinct pedestrian groups with a participatory assessment method: A case study in Lisbon406 cited
  • 2016Does Compact Development Make People Drive Less?406 cited
  • 2018Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China341 cited
  • 2019Social inequalities in neighborhood visual walkability: Using street view imagery and deep learning technologies to facilitate healthy city planning310 cited
  • 2016Built environmental impacts on commuting mode choice and distance: Evidence from Shanghai294 cited
  • 2011Correlating mobile phone usage and travel behavior – A case study of Harbin, China252 cited
  • 2019Monitoring housing rental prices based on social media:An integrated approach of machine-learning algorithms and hedonic modeling to inform equitable housing policies231 cited
  • 2017“Does Compact Development Make People Drive Less?” The Answer Is Yes225 cited
  • 2012Effect of increasing active travel in urban England and Wales on costs to the National Health Service

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

213 cited
  • 2021How are Neighborhood and Street-Level Walkability Factors Associated with Walking Behaviors? A Big Data Approach Using Street View Images208 cited
  • 2018Assessing the potential for carbon emissions savings from replacing short car trips with walking and cycling using a mixed GPS-travel diary approach201 cited
  • Cited by

    No citing works inside the corpus for this window.