SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
A panel analysis of the effect of the urban environment on the spatiotemporal pattern of taxi demand
9 references·16 citing·49 second hop
A panel analysis of the effect of the urban environment on the spatiotemporal pattern of taxi demand (2019)A panel analysis of the effect of the urb…How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model (2019)How does the built environmen…Synergistic effects of the built environment and commuting programs on commute mode choice (2018)Synergistic effects of the bu…A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)A geographically and temporal…Spatial variation of the urban taxi ridership using GPS data (2015)Spatial variation of the urba…Revealing travel patterns and city structure with taxi trip data (2015)Revealing travel patterns and…Modeling Taxi Trip Demand by Time of Day in New York City (2014)Modeling Taxi Trip Demand by …A Regression Model of the Number of Taxicabs in U.S. Cities (2005)A Regression Model of the Num…Demand–supply equilibrium of taxi services in a network under competition and regulation (2002)Demand–supply equilibrium of …Revealing travel patterns and city structure with taxi trip dataRevealing travel patterns and…Exploring the spatial relationship between urban built environment and green travel: an improved semi-parametric GWR approach (2024)Exploring the spatial relatio…Understanding bike-sharing mobility patterns in response to the COVID-19 pandemic (2023)Understanding bike-sharing mo…The effects of the urban built environment on public transport ridership: similarities and differences (2023)The effects of the urban buil…Influence of the built environment on taxi travel demand based on the optimal spatial analysis unit (2023)Influence of the built enviro…Impacts of the Feeder‐Related Built Environment on Taxi‐Metro Integrated Use in Lanzhou, China (2023)Impacts of the Feeder‐Related…Analysis of mobility patterns for urban taxi ridership: the role of the built environment (2023)Analysis of mobility patterns…A multiscale spatial analysis of taxi ridership (2023)A multiscale spatial analysis…Understanding taxi ridership with spatial spillover effects and temporal dynamics (2022)Understanding taxi ridership …Revealing the Influence Mechanism of Urban Built Environment on Online Car‐Hailing Travel considering Orientation Entropy of Street Network (2022)Revealing the Influence Mecha…Exploring the Spatiotemporal Impacts of the Built Environment on Taxi Ridership Using Multisource Data (2022)Exploring the Spatiotemporal …Exploring Built Environment Influence on Taxi Vacant Time in Megacities: A Case Study of Chongqing, China (2022)Exploring Built Environment I…Understanding the determinants of spatial-temporal mobility patterns based on multi-source heterogeneous data (2021)Understanding the determinant…Impact of the mixed degree of urban functions on the taxi travel demand (2021)Impact of the mixed degree of…Measuring multi-spatiotemporal scale tourist destination popularity based on text granular computing (2020)Measuring multi-spatiotempora…Exploring the Spatially Heterogeneous Effects of Urban Built Environment on Road Travel Time Variability (2020)Exploring the Spatially Heter…China’s millennial car travelers’ mode shift responses under congestion pricing and reward policies: A case study in Beijing (2020)China’s millennial car travel…School Location and Student Travel Analysis of Factors Affecting Mode Choice (2004)What affects commute mode choice: neighborhood physical structure or preferences toward neighborhoods? (2004)Does TOD Need the T? (2013)Spatiotemporal Pattern Analysis of Taxi Trips in New York City (2016)Visualizing public transit system operation with GTFS data: A case study of Calgary, Canada (2020)Theories of Economic Regulation (1974)Geographically Weighted Regression: A Method for Exploring Spatial Nonstationarity (1996)Factors influencing light-rail station boardings in the United States (2004)Spatial variations in urban public ridership derived from GPS trajectories and smart card data (2018)Discovering the spatio-temporal impacts of built environment on metro ridership using smart card data (2019)Spatial analysis of shared e-scooter trips (2021)The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Modelling the scaling properties of human mobility (2010)Incorporating spatial interaction patterns in classifying and understanding urban land use (2015)Uncovering urban human mobility from large scale taxi GPS data (2015)Spatial-temporal distribution of carbon emissions by daily travel and its response to urban form: A case study of Hangzhou, China (2020)Taxi Travel Should Be Subsidized (1996)A network model of urban taxi services (1998)Equilibria of bilateral taxi–customer searching and meeting on networks (2010)Equilibrium properties of taxi markets with search frictions (2011)Economic analysis of ride-sourcing markets (2016)Travel demand and the 3Ds: Density, diversity, and design (1997)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)Multiscale geographically and temporally weighted regression: exploring the spatiotemporal determinants of housing prices (2018)A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data (2020)Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning (2020)Travel and the Built Environment: A Synthesis (2001)Examining the Impacts of Residential Self‐Selection on Travel Behaviour: A Focus on Empirical Findings (2009)Travel and the Built Environment (2010)Examining threshold effects of built environment elements on travel-related carbon-dioxide emissions (2019)Elaborating non-linear associations and synergies of subway access and land uses with urban vitality in Shenzhen (2020)Nonlinear effect of accessibility on car ownership in Beijing: Pedestrian-scale neighborhood planning (2020)Built environments and mode choice: toward a normative framework (2002)A comprehensive analysis of built environment characteristics on household residential choice and auto ownership levels (2006)Examining the impacts of residential self-selection on travel behavior: A focus on methodologies (2007)Identification of neighborhood typology for potential transit-oriented development (2019)Non-linear relationships between built environment characteristics and electric-bike ownership in Zhongshan, China (2019)The indirect effect of the built environment on travel mode choice: A focus on recent movers (2021)Statistical and Econometric Methods for Transportation Data Analysis (2003)Correlation or causality between the built environment and travel behavior? Evidence from Northern California (2005)Statistical and Econometric Methods for Transportation Data Analysis (2021)Socioeconomic differences in effect size: predicting commuting mode choice of migrants and locals using a light gradient boosting approach (2022)Modeling dynamic travel mode choices using cumulative prospect theory (2023)Predicting transport mode choice preferences in a university district with decision tree-based models (2023)Central Places in Southern Germany (1967)Difference of urban development in China from the perspective of passenger transport around Spring Festival (2017)Second‐Degree Moral Hazard in a Real‐World Credence Goods Market (2015)New potential for multimodal connection: exploring the relationship between taxi and transit in New York City (NYC) (2017)
this work references cited by second hop

References

  • 2015Revealing travel patterns and city structure with taxi trip data408 cited
  • 2018A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership333 cited
  • 2015Spatial variation of the urban taxi ridership using GPS data256 cited
  • n.d.Revealing travel patterns and city structure with taxi trip data246 cited
  • 2002Demand–supply equilibrium of taxi services in a network under competition and regulation224 cited
  • 2018Synergistic effects of the built environment and commuting programs on commute mode choice199 cited
  • 2019How does the built environment at residential and work locations affect car ownership? An application of cross-classified multilevel model100 cited
  • 2005A Regression Model of the Number of Taxicabs in U.S. Cities72 cited
  • 2014Modeling Taxi Trip Demand by Time of Day in New York City69 cited

Cited by

  • 2020China’s millennial car travelers’ mode shift responses under congestion pricing and reward policies: A case study in Beijing41 cited
  • 2023The effects of the urban built environment on public transport ridership: similarities and differences38 cited
  • 2022Understanding taxi ridership with spatial spillover effects and temporal dynamics37 cited
  • 2023A multiscale spatial analysis of taxi ridership32 cited

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

2021
Impact of the mixed degree of urban functions on the taxi travel demand
25 cited
  • 2020Exploring the Spatially Heterogeneous Effects of Urban Built Environment on Road Travel Time Variability22 cited
  • 2023Analysis of mobility patterns for urban taxi ridership: the role of the built environment19 cited
  • 2023Influence of the built environment on taxi travel demand based on the optimal spatial analysis unit19 cited
  • 2023Understanding bike-sharing mobility patterns in response to the COVID-19 pandemic17 cited
  • 2022Revealing the Influence Mechanism of Urban Built Environment on Online Car‐Hailing Travel considering Orientation Entropy of Street Network10 cited
  • 2022Exploring the Spatiotemporal Impacts of the Built Environment on Taxi Ridership Using Multisource Data8 cited
  • 2024Exploring the spatial relationship between urban built environment and green travel: an improved semi-parametric GWR approach8 cited
  • 2020Measuring multi-spatiotemporal scale tourist destination popularity based on text granular computing8 cited
  • 2023Impacts of the Feeder‐Related Built Environment on Taxi‐Metro Integrated Use in Lanzhou, China7 cited
  • 2021Understanding the determinants of spatial-temporal mobility patterns based on multi-source heterogeneous data6 cited
  • 2022Exploring Built Environment Influence on Taxi Vacant Time in Megacities: A Case Study of Chongqing, China6 cited