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Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit
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Unveiling Urban Mobility Patterns: A Data-Driven Analysis of Public Transit (2024)Unveiling Urban Mobility Patterns: A Data…Spatio‐temporal patterns of the impact of COVID‐19 on public transit: An exploratory analysis from Lyon, France (2023)Spatio‐temporal patterns of t…Realizable accessibility: evaluating the reliability of public transit accessibility using high-resolution real-time data (2022)Realizable accessibility: eva…Passenger Travel Behavior in Public Transport Corridor After the Operation of Urban Rail Transit: A Random Forest Algorithm Approach (2020)Passenger Travel Behavior in …Measuring risk of missing transfers in public transit systems using high-resolution schedule and real-time bus location data (2020)Measuring risk of missing tra…Assessing public transit performance using real-time data: spatiotemporal patterns of bus operation delays in Columbus, Ohio, USA (2019)Assessing public transit perf…Identifying primary public transit corridors using multi-source big transit data (2018)Identifying primary public tr…Deep Q-Network-Powered Optimization of Urban Public Transit for Sustainable Mobility and Efficiency (2025)Deep Q-Network-Powered Optimi…The potential of public transport smart card data (2005)Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Smart card data use in public transit: A literature review (2011)Integrating Geovisual Analytics with Machine Learning for Human Mobility Pattern Discovery (2019)Analysis of Spatial-Temporal Characteristics of Operations in Public Transport Networks Based on Multisource Data (2021)Measuring positive public transit accessibility using big transit data (2021)Accessibility evaluation of land-use and transport strategies: review and research directions (2003)The demand for public transport: The effects of fares, quality of service, income and car ownership (2006)Quality attributes of public transport that attract car users: A research review (2012)Intelligent Bus Operation Optimization by Integrating Cases and Data Driven Based on Business Chain and Enhanced Quantum Genetic Algorithm (2021)Evaluating spatial accessibility to healthcare services from the lens of emergency hospital visits based on floating car data (2022)Measuring the impacts of disruptions on public transit accessibility and reliability (2023)Big Data: A Survey (2014)Data-driven geography (2014)Big Data for Development: A Review of Promises and Challenges (2015)Evaluating accessibility benefits and ridership of bike-transit integration through a social equity lens (2024)Exploring Passenger Satisfaction in Multimodal Railway Hubs: A Social Media-Based Analysis of Travel Behavior in China’s Major Rail Stations (2024)A comparative study of machine learning classifiers for modeling travel mode choice (2017)Applying a random forest method approach to model travel mode choice behavior (2018)Prediction and behavioral analysis of travel mode choice: A comparison of machine learning and logit models (2020)Passengers' travel behavior before and after the adjustment of regular bus collinear sections: A case study in the incipient phase of metro operation in Xiamen (2021)How Accessibility Shapes Land Use (1959)What about people in Regional Science? (1970)The sustainable mobility paradigm (2007)The impacts of accessibility measure choice on public transit project evaluation: A comparative study of cumulative, gravity-based, and hybrid approaches (2022)Evaluating the impact of public transport travel time inaccuracy and variability on socio-spatial inequalities in accessibility (2023)Urban and rural disparities in general hospital accessibility within a Chinese metropolis (2024)Impact on City Bus Transit Services of the COVID–19 Lockdown and Return to the New Normal: The Case of A Coruña (Spain) (2020)Impacts of COVID-19 on public transport ridership in Sweden: Analysis of ticket validations, sales and passenger counts (2020)Evidence of a post-COVID change in travel behaviour – Self-reported expectations of commuting in Melbourne (2021)How Has the Paris Rail Public-Transportation Network Recovered After the COVID-19 Pandemic? Applying a Mixture of Regressions Model (2024)Spatio-temporal impacts of unplanned service disruptions on public transit demand (2025)A Comprehensive Survey and Future Directions on Optimising Sustainable Urban Mobility (2024)AI-Driven Approach for Enhancing Sustainability in Urban Public Transportation (2024)Intelligent transportation systems: Machine learning approaches for urban mobility in smart cities (2024)
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References

  • 2022Realizable accessibility: evaluating the reliability of public transit accessibility using high-resolution real-time data65 cited
  • 2019Assessing public transit performance using real-time data: spatiotemporal patterns of bus operation delays in Columbus, Ohio, USA44 cited
  • 2018Identifying primary public transit corridors using multi-source big transit data24 cited
  • 2020Measuring risk of missing transfers in public transit systems using high-resolution schedule and real-time bus location data23 cited
  • 2020Passenger Travel Behavior in Public Transport Corridor After the Operation of Urban Rail Transit: A Random Forest Algorithm Approach19 cited
  • 2023Spatio‐temporal patterns of the impact of COVID‐19 on public transit: An exploratory analysis from Lyon, France6 cited

Cited by

  • 2025Deep Q-Network-Powered Optimization of Urban Public Transit for Sustainable Mobility and Efficiency2 cited

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