Research graph
References from Modeling Taxi-Metro Competition: Uncovering Nonlinear Influences of Trip and Built Environment Factors. Local targets link to admitted publications; unresolved targets remain external evidence.
PyMC: a modern, and comprehensive probabilistic programming framework in Python
10.7717/peerj-cs.1516 · 2023 · External reference
What would it take for the people of Riyadh city to shift from their cars to the proposed metro?
10.1016/j.cstp.2023.101008 · 2023 · External reference
Taxicabs as public transportation in boston, massachusetts
10.3141/2277-08 · 2012 · External reference
Potential distributions of invasive vertebrates in the Iberian Peninsula under projected changes in climate extreme events
10.1111/ddi.13401 · 2021 · External reference
Travel time estimation in the age of big data
2019 · External reference
Political economy of infrastructure investment: evidence from the economic stimulus airport grants
10.1016/j.ecotra.2017.12.003 · 2018 · External reference
Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semi-parametric GWPR model
10.1016/j.jtrangeo.2021.103172 · 2021 · External reference
A spatiotemporal-guided hybrid learning model for mapping surface air relative humidity
2025 · External reference
Association between built environment characteristics and metro usage at station level with a big data approach
10.1016/j.tbs.2022.02.007 · 2022 · External reference
Fare adjustment’s impacts on travel patterns and farebox revenue: an empirical study based on longitudinal smartcard data
10.1016/j.tra.2022.08.003 · 2022 · External reference
Effects of proactive and reactive health control measures on public transport preferences of passengers–a stated preference study during the COVID-19 pandemic
10.1016/j.tranpol.2023.11.011 · 2024 · External reference
Exploring non-linear built environment effects on the integration of free-floating bike-share and urban rail transport: A quantile regression approach
2022 · External reference
Work-trip mode choice in Germany - Affected by individual constraints or by partner interaction?
10.1016/j.tbs.2021.04.007 · 2021 · External reference
10.1214/09-aoas285
10.1214/09-aoas285 · External reference
The indirect effect of the built environment on travel mode choice: A focus on recent movers
10.1016/j.jtrangeo.2021.102983 · 2021 · External reference
Non-linear relationships between built environment characteristics and electric-bike ownership in Zhongshan, China
10.1016/j.trd.2019.09.005 · 2019 · External reference
10.1016/j.nhres.2026.06.001
10.1016/j.nhres.2026.06.001 · External reference
Neglecting spatial autocorrelation causes underestimation of the error of sugarcane yield models
10.1016/j.compag.2018.09.003 · 2019 · External reference
Beta regression for modelling rates and proportions
10.1080/0266476042000214501 · 2004 · External reference
Greedy function approximation: a gradient boosting machine
2001 · External reference
The role of objective and perceived built environments in affecting dockless bike-sharing as a feeder mode choice of metro commuting
10.1016/j.tra.2021.04.008 · 2021 · External reference
A comparative study of machine learning classifiers for modeling travel mode choice
10.1016/j.eswa.2017.01.057 · 2017 · External reference
Research on Passenger’s Travel Mode Choice Behavior Waiting at Bus Station Based on SEM-Logit Integration Model
10.3390/su10061996 · 2018 · External reference
Multiscale analysis of the influence of street built environment on crime occurrence using street-view images
10.1016/j.compenvurbsys.2022.101865 · 2022 · External reference
Bayesian additive regression trees: a review and look forward
10.1146/annurev-statistics-031219-041110 · 2020 · External reference
Causality between multi-scale built environment and rail transit ridership in Beijing and Tokyo
10.1016/j.trd.2024.104150 · 2024 · External reference
Exploring the Intermodal Relationship between Taxi and Subway in Beijing, China
2018 · External reference
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
10.1016/j.trd.2022.103426 · 2022 · External reference
bartMachine: machine learning with bayesian additive regression trees
10.18637/jss.v070.i04 · 2016 · External reference
What cities have is how people travel: conceptualizing a data-mining-driven modal split framework
10.1016/j.cities.2022.103902 · 2022 · External reference
Analysis of the relationship between metro ridership and built environment: A machine learning method considering combinational features
10.1016/j.tust.2023.105564 · 2024 · External reference
Analysis of the relationship between taxi services and public transit in Shanghai: a spatially heterogeneous perspective
2024 · External reference
The effects of the urban built environment on public transport ridership: similarities and differences
10.1016/j.tbs.2023.100630 · 2023 · External reference
Understanding the interplay among urban public transport modes: Spatial variation and built environment effects
10.1016/j.jclepro.2024.144038 · 2024 · External reference
Understanding spatial-temporal travel demand of private and shared e-bikes as a feeder mode of metro stations
10.1016/j.jclepro.2023.136602 · 2023 · External reference
Analysis of integrated uses of dockless bike sharing and ridesourcing with metros: A case study of Shanghai, China
10.1016/j.scs.2022.103918 · 2022 · External reference
Research on taxi passenger-finding strategy considering load balancing
2024 · External reference
An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning
10.1016/j.jtrangeo.2023.103716 · 2023 · External reference
A multiscale spatial analysis of taxi ridership
10.1016/j.jtrangeo.2023.103718 · 2023 · External reference
Unresolved reference
2024 · External reference
Unresolved reference
2021 · External reference
Economic and distributional effects of different fare schemes: evidence from the metropolitan region of barcelona
10.1016/j.tra.2020.05.014 · 2020 · External reference
Unresolved reference
2014 · External reference
Examining ride sourcing services as an emerging mode in Metro Vancouver: Insights into trip characteristics and impacts on multimodal competitions
10.1080/15568318.2024.2363203 · 2024 · External reference
Evaluating the household-level climate-electricity nexus across three cities through statistical learning techniques
10.1016/j.seps.2023.101664 · 2023 · External reference
Statistical comparison of additive regression tree methods on ecological grassland data
10.1016/j.ecoinf.2020.101198 · 2021 · External reference
Parallel Bayesian additive regression trees
10.1080/10618600.2013.841584 · 2014 · External reference
Supply-side structural reform for urban transportation
2017 · External reference
Using ensembles of decision trees to predict transport mode choice decisions: effects on predictive success and uncertainty estimates
10.18757/ejtir.2014.14.4.3045 · 2014 · External reference
Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco
10.1016/j.tranpol.2015.10.004 · 2016 · External reference
Exploring the influence of built environment on uber demand
10.1016/j.trd.2020.102296 · 2020 · External reference
Unresolved reference
2020 · External reference
Metro accessibility and space-time flexibility of shopping travel: A propensity score matching analysis
10.1016/j.scs.2022.104204 · 2022 · External reference
The impact of fare integration on travel behavior and transit ridership
10.1016/j.tranpol.2012.01.015 · 2012 · External reference
Development of Web-Based Transit Trip-Planning System Based on Service-Oriented Architecture
2011 · External reference
Promoting public bike-sharing: A lesson from the unsuccessful Pronto system
10.1016/j.trd.2018.06.021 · 2018 · External reference
How does the urban built environment affect dockless bikesharing-metro integration cycling? Analysis from a nonlinear comprehensive perspective
10.1016/j.jclepro.2024.141770 · 2024 · External reference
Intermodal versus monomodal travellers: evidence from a comparative study in porto
2026 · External reference
The effect of changing registration taxes on electric vehicle adoption in Denmark
10.1016/j.tra.2024.104117 · 2024 · External reference
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
10.1016/j.trd.2021.102776 · 2021 · External reference
New potential for multimodal connection: exploring the relationship between taxi and transit in new york city (NYC)
10.1007/s11116-017-9787-x · 2019 · External reference
Spatiotemporal analysis of competition between subways and taxis based on multi-source data
10.1109/access.2020.3044956 · 2020 · External reference
Nonlinear effects of factors on dockless bike-sharing usage considering grid-based spatiotemporal heterogeneity
10.1016/j.trd.2022.103194 · 2022 · External reference
Shared-use mobility competition: a trip-level analysis of taxi, bikeshare, and transit mode choice in Washington, DC
10.1080/23249935.2018.1523250 · 2020 · External reference
The nonlinear effect of atmospheric conditions on middle-school students’ travel mode choices
10.1016/j.trd.2024.104382 · 2024 · External reference
Measuring the impact of built environment factors on station-level contributions to link-level crowding using a novel crowding contribution index
10.1038/s41598-025-27483-y · 2025 · External reference
Nonlinear effects of changes in the built environment and life events on mode choice: A longitudinal analysis
2025 · External reference
Exploring the impact of truck traffic on road segment-based severe crash proportion using extensive weigh-in-motion data
10.1016/j.ssci.2023.106261 · 2023 · External reference
Identifying key factors associated with ridesplitting adoption rate and modeling their nonlinear relationships
2021 · External reference
Nonlinear effects of fare discounts and built environment on ridesplitting adoption rates
2023 · External reference
Place-varying impacts of urban rail transit on property prices in shenzhen, china: insights for value capture
10.1016/j.scs.2020.102140 · 2020 · External reference
COVID-19 moderates the association between to-metro and by-metro accessibility and house prices
10.1016/j.trd.2022.103571 · 2023 · External reference
Does the first/last-mile design matter for transit commuting compared to land use?
10.1016/j.trd.2025.104889 · 2025 · External reference
Gender differences in active travel among older adults: Non-linear built environment insights
10.1016/j.trd.2022.103405 · 2022 · External reference
Analyzing spatio-temporal distribution pattern and correlation for taxi and metro ridership in Shanghai
10.1007/s12204-019-2051-0 · 2019 · External reference
Exploring impacts of the built environment on transit travel: Distance, time and mode choice, for urban villages in Shenzhen, China
10.1016/j.tre.2019.11.004 · 2019 · External reference
Exploring the complex relationship between metro and shared bikes in the built environment: competition, connection, and complementation
10.1016/j.scs.2024.105870 · 2024 · External reference
Role of rural built environment in travel mode choice: Evidence from China
10.1016/j.trd.2023.103649 · 2023 · External reference
Understanding Taxi Service Strategies From Taxi GPS Traces
10.1109/tits.2014.2328231 · 2015 · External reference
Mining Multimodal Travel Mobilities with Big Ridership Data: Comparative Analysis of Subways and Taxis
10.3390/su16104305 · 2024 · External reference
Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego
10.1016/j.jtrangeo.2022.103449 · 2022 · External reference
Understanding the impact of the built environment on ride-hailing from a spatio-temporal perspective: A fine-scale empirical study from China
10.1016/j.cities.2022.103706 · 2022 · External reference
Development of land use regression models to characterise spatial patterns of particulate matter and ozone in urban areas of Lanzhou
10.1016/j.uclim.2024.101879 · 2024 · External reference
New potential for multimodal connection: exploring the relationship between taxi and transit in new york city (NYC)
10.1007/s11116-017-9787-x · ExternalCitation · doi-reference
Analyzing spatio-temporal distribution pattern and correlation for taxi and metro ridership in Shanghai
10.1007/s12204-019-2051-0 · ExternalCitation · doi-reference
Understanding the impact of the built environment on ride-hailing from a spatio-temporal perspective: A fine-scale empirical study from China
10.1016/j.cities.2022.103706 · ExternalCitation · doi-reference
What cities have is how people travel: conceptualizing a data-mining-driven modal split framework
10.1016/j.cities.2022.103902 · ExternalCitation · doi-reference
Neglecting spatial autocorrelation causes underestimation of the error of sugarcane yield models
10.1016/j.compag.2018.09.003 · ExternalCitation · doi-reference
Multiscale analysis of the influence of street built environment on crime occurrence using street-view images
10.1016/j.compenvurbsys.2022.101865 · ExternalCitation · doi-reference
What would it take for the people of Riyadh city to shift from their cars to the proposed metro?
10.1016/j.cstp.2023.101008 · ExternalCitation · doi-reference
Statistical comparison of additive regression tree methods on ecological grassland data
10.1016/j.ecoinf.2020.101198 · ExternalCitation · doi-reference
Political economy of infrastructure investment: evidence from the economic stimulus airport grants
10.1016/j.ecotra.2017.12.003 · ExternalCitation · doi-reference
A comparative study of machine learning classifiers for modeling travel mode choice
10.1016/j.eswa.2017.01.057 · ExternalCitation · doi-reference
Understanding spatial-temporal travel demand of private and shared e-bikes as a feeder mode of metro stations
10.1016/j.jclepro.2023.136602 · ExternalCitation · doi-reference
How does the urban built environment affect dockless bikesharing-metro integration cycling? Analysis from a nonlinear comprehensive perspective
10.1016/j.jclepro.2024.141770 · ExternalCitation · doi-reference
Understanding the interplay among urban public transport modes: Spatial variation and built environment effects
10.1016/j.jclepro.2024.144038 · ExternalCitation · doi-reference
The indirect effect of the built environment on travel mode choice: A focus on recent movers
10.1016/j.jtrangeo.2021.102983 · ExternalCitation · doi-reference
Examining the spatial-temporal relationship between urban built environment and taxi ridership: Results of a semi-parametric GWPR model
10.1016/j.jtrangeo.2021.103172 · ExternalCitation · doi-reference
Exploring the nonlinear effects of ridesharing on public transit usage: A case study of San Diego
10.1016/j.jtrangeo.2022.103449 · ExternalCitation · doi-reference
An origin-destination level analysis on the competitiveness of bike-sharing to underground using explainable machine learning
10.1016/j.jtrangeo.2023.103716 · ExternalCitation · doi-reference
A multiscale spatial analysis of taxi ridership
10.1016/j.jtrangeo.2023.103718 · ExternalCitation · doi-reference
10.1016/j.nhres.2026.06.001
10.1016/j.nhres.2026.06.001 · ExternalCitation · doi-reference
Place-varying impacts of urban rail transit on property prices in shenzhen, china: insights for value capture
10.1016/j.scs.2020.102140 · ExternalCitation · doi-reference
Analysis of integrated uses of dockless bike sharing and ridesourcing with metros: A case study of Shanghai, China
10.1016/j.scs.2022.103918 · ExternalCitation · doi-reference
Metro accessibility and space-time flexibility of shopping travel: A propensity score matching analysis
10.1016/j.scs.2022.104204 · ExternalCitation · doi-reference
Exploring the complex relationship between metro and shared bikes in the built environment: competition, connection, and complementation
10.1016/j.scs.2024.105870 · ExternalCitation · doi-reference
Evaluating the household-level climate-electricity nexus across three cities through statistical learning techniques
10.1016/j.seps.2023.101664 · ExternalCitation · doi-reference
Exploring the impact of truck traffic on road segment-based severe crash proportion using extensive weigh-in-motion data
10.1016/j.ssci.2023.106261 · ExternalCitation · doi-reference
Work-trip mode choice in Germany - Affected by individual constraints or by partner interaction?
10.1016/j.tbs.2021.04.007 · ExternalCitation · doi-reference
Association between built environment characteristics and metro usage at station level with a big data approach
10.1016/j.tbs.2022.02.007 · ExternalCitation · doi-reference
The effects of the urban built environment on public transport ridership: similarities and differences
10.1016/j.tbs.2023.100630 · ExternalCitation · doi-reference
Economic and distributional effects of different fare schemes: evidence from the metropolitan region of barcelona
10.1016/j.tra.2020.05.014 · ExternalCitation · doi-reference
The role of objective and perceived built environments in affecting dockless bike-sharing as a feeder mode choice of metro commuting
10.1016/j.tra.2021.04.008 · ExternalCitation · doi-reference
Fare adjustment’s impacts on travel patterns and farebox revenue: an empirical study based on longitudinal smartcard data
10.1016/j.tra.2022.08.003 · ExternalCitation · doi-reference
The effect of changing registration taxes on electric vehicle adoption in Denmark
10.1016/j.tra.2024.104117 · ExternalCitation · doi-reference
The impact of fare integration on travel behavior and transit ridership
10.1016/j.tranpol.2012.01.015 · ExternalCitation · doi-reference
Just a better taxi? A survey-based comparison of taxis, transit, and ridesourcing services in San Francisco
10.1016/j.tranpol.2015.10.004 · ExternalCitation · doi-reference
Effects of proactive and reactive health control measures on public transport preferences of passengers–a stated preference study during the COVID-19 pandemic
10.1016/j.tranpol.2023.11.011 · ExternalCitation · doi-reference
Promoting public bike-sharing: A lesson from the unsuccessful Pronto system
10.1016/j.trd.2018.06.021 · ExternalCitation · doi-reference
Non-linear relationships between built environment characteristics and electric-bike ownership in Zhongshan, China
10.1016/j.trd.2019.09.005 · ExternalCitation · doi-reference
Exploring the influence of built environment on uber demand
10.1016/j.trd.2020.102296 · ExternalCitation · doi-reference
Exploring nonlinear effects of the built environment on ridesplitting: Evidence from Chengdu
10.1016/j.trd.2021.102776 · ExternalCitation · doi-reference
Nonlinear effects of factors on dockless bike-sharing usage considering grid-based spatiotemporal heterogeneity
10.1016/j.trd.2022.103194 · ExternalCitation · doi-reference
Gender differences in active travel among older adults: Non-linear built environment insights
10.1016/j.trd.2022.103405 · ExternalCitation · doi-reference
Nonlinear effects of the built environment on metro-integrated ridesourcing usage
10.1016/j.trd.2022.103426 · ExternalCitation · doi-reference
COVID-19 moderates the association between to-metro and by-metro accessibility and house prices
10.1016/j.trd.2022.103571 · ExternalCitation · doi-reference
Role of rural built environment in travel mode choice: Evidence from China
10.1016/j.trd.2023.103649 · ExternalCitation · doi-reference
Causality between multi-scale built environment and rail transit ridership in Beijing and Tokyo
10.1016/j.trd.2024.104150 · ExternalCitation · doi-reference
The nonlinear effect of atmospheric conditions on middle-school students’ travel mode choices
10.1016/j.trd.2024.104382 · ExternalCitation · doi-reference
Does the first/last-mile design matter for transit commuting compared to land use?
10.1016/j.trd.2025.104889 · ExternalCitation · doi-reference
Exploring impacts of the built environment on transit travel: Distance, time and mode choice, for urban villages in Shenzhen, China
10.1016/j.tre.2019.11.004 · ExternalCitation · doi-reference
Analysis of the relationship between metro ridership and built environment: A machine learning method considering combinational features
10.1016/j.tust.2023.105564 · ExternalCitation · doi-reference
Development of land use regression models to characterise spatial patterns of particulate matter and ozone in urban areas of Lanzhou
10.1016/j.uclim.2024.101879 · ExternalCitation · doi-reference
Measuring the impact of built environment factors on station-level contributions to link-level crowding using a novel crowding contribution index
10.1038/s41598-025-27483-y · ExternalCitation · doi-reference
Beta regression for modelling rates and proportions
10.1080/0266476042000214501 · ExternalCitation · doi-reference
Parallel Bayesian additive regression trees
10.1080/10618600.2013.841584 · ExternalCitation · doi-reference
Examining ride sourcing services as an emerging mode in Metro Vancouver: Insights into trip characteristics and impacts on multimodal competitions
10.1080/15568318.2024.2363203 · ExternalCitation · doi-reference
Shared-use mobility competition: a trip-level analysis of taxi, bikeshare, and transit mode choice in Washington, DC
10.1080/23249935.2018.1523250 · ExternalCitation · doi-reference
Spatiotemporal analysis of competition between subways and taxis based on multi-source data
10.1109/access.2020.3044956 · ExternalCitation · doi-reference
Understanding Taxi Service Strategies From Taxi GPS Traces
10.1109/tits.2014.2328231 · ExternalCitation · doi-reference
Potential distributions of invasive vertebrates in the Iberian Peninsula under projected changes in climate extreme events
10.1111/ddi.13401 · ExternalCitation · doi-reference
Bayesian additive regression trees: a review and look forward
10.1146/annurev-statistics-031219-041110 · ExternalCitation · doi-reference
10.1214/09-aoas285
10.1214/09-aoas285 · ExternalCitation · doi-reference
bartMachine: machine learning with bayesian additive regression trees
10.18637/jss.v070.i04 · ExternalCitation · doi-reference
Using ensembles of decision trees to predict transport mode choice decisions: effects on predictive success and uncertainty estimates
10.18757/ejtir.2014.14.4.3045 · ExternalCitation · doi-reference
Taxicabs as public transportation in boston, massachusetts
10.3141/2277-08 · ExternalCitation · doi-reference
Research on Passenger’s Travel Mode Choice Behavior Waiting at Bus Station Based on SEM-Logit Integration Model
10.3390/su10061996 · ExternalCitation · doi-reference
Mining Multimodal Travel Mobilities with Big Ridership Data: Comparative Analysis of Subways and Taxis
10.3390/su16104305 · ExternalCitation · doi-reference
PyMC: a modern, and comprehensive probabilistic programming framework in Python
10.7717/peerj-cs.1516 · ExternalCitation · doi-reference
