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Identifying the Service Areas and Travel Demand of the Commuter Customized Bus Based on Mobile Phone Signaling Data
11 references·0 citing·48 second hop
Identifying the Service Areas and Travel Demand of the Commuter Customized Bus Based on Mobile Phone Signaling Data (2021)Identifying the Service Areas and Travel …Mobile Phone Data in Urban Customized Bus: A Network-based Hierarchical Location Selection Method with an Application to System Layout Design in the Urban Agglomeration (2020)Mobile Phone Data in Urban Cu…A Visual Analytics Approach to Scheduling Customized Shuttle Buses via Perceiving Passengers’ Travel Demands (2020)A Visual Analytics Approach t…Mining Customized Bus Demand Spots Based on Smart Card Data: A Case Study of the Beijing Public Transit System (2019)Mining Customized Bus Demand …Empirical Analysis of Factors Influencing Potential Demand of Customized Buses in Shanghai, China (2019)Empirical Analysis of Factors…CB-Planner: A bus line planning framework for customized bus systems (2019)CB-Planner: A bus line planni…Large-Scale Demand Driven Design of a Customized Bus Network: A Methodological Framework and Beijing Case Study (2017)Large-Scale Demand Driven Des…Customized bus service design for jointly optimizing passenger-to-vehicle assignment and vehicle routing (2017)Customized bus service design…Analyzing Customized Bus Service on a Multimodal Travel Corridor: An Analytical Modeling Approach (2017)Analyzing Customized Bus Serv…Two-phase stochastic program for transit network design under demand uncertainty (2016)Two-phase stochastic program …T2CBS: Mining taxi trajectories for customized bus systems (2016)T2CBS: Mining taxi trajectori…Analysis of a new public-transport-service concept: Customized bus in China (2015)Analysis of a new public-tran…Bus network design (1986)Urban Transit : Operations, Planning and Economics (2005)Transit network design and scheduling: A global review (2008)A two-phase optimization model for the demand-responsive customized bus network design (2019)A survey on demand-responsive public bus systems (2022)Robust solutions of uncertain linear programs (1999)The Price of Robustness (2004)Recent advances in robust optimization: An overview (2013)Transportation network design for maximizing flow-based accessibility (2018)Bus transit network design with uncertainties on the basis of a metro network: A two-step model framework (2019)Integrated optimization of bus bridging routes and timetables for rail disruptions (2021)Online data collection in academic research: advantages and limitations (2006)Urban computing with taxicabs (2011)Methodology for Extracting Potential Customized Bus Routes Based on Bus Smart Card Data (2018)Travel impedance, the built environment, and customized-bus ridership: A stop-to-stop level analysis (2023)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Mining smart card data for transit riders’ travel patterns (2013)Multi-objective optimization of real-time customized bus routes based on two-stage method (2019)Flexible Route Optimization for Demand-Responsive Public Transit Service (2020)Time-Dependent Urban Customized Bus Routing With Path Flexibility (2020)The use of travel time by rail passengers in Great Britain (2006)How in-vehicle activities affect work commuters’ satisfaction with public transport (2012)Customized bus service design for uncertain commuting travel demand (2020)Exploring the nonlinear effects of built environment characteristics on customized bus service (2022)Scheduling zonal-based flexible bus service under dynamic stochastic demand and Time-dependent travel time (2022)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)What about people in Regional Science? (1970)Network Design and Transportation Planning: Models and Algorithms (1984)Conditional logit analysis of qualitative choice behavior (1972)Choice Modelling Approaches: A Superior Alternative for Environmental Valuatioin? (2001)Statistics for experimenters: design, innovation, and discovery (2006)A Multi-Objective Robust Optimization Model for Customized Bus Routes (2020)Integrated Optimization for Commuting Customized Bus Stop Planning, Routing Design, and Timetable Development With Passenger Spatial-Temporal Accessibility (2021)Transfer-based customized modular bus system design with passenger-route assignment optimization (2021)Using stated response choice data to enrich revealed preference discrete choice models (1993)Stated preference analysis of travel choices: the state of practice (1994)Spatial Dimensions of Urban Commuting: A Review of Major Issues and Their Implications for Future Geographic Research (2004)Modeling Household Vehicle Ownership in Emerging Economies (2019)“More Than a Free Bus Ride”—Exploring Young Adults’ Perceptions of Free Bus Services Using a Qualitative Approach: A Case Study of Penang, Malaysia (2021)A multinomial probit analysis of shanghai commute mode choice (2022)Location-Allocation Problems (1963)Understanding individual human mobility patterns (2008)Urban agglomeration: An evolving concept of an emerging phenomenon (2017)Using POI Data to Identify the Demand for Pedestrian Crossing Facilities at Mid-Block (2021)Demand Response Transit Scheduling Research Based on Urban and Rural Transportation Station Optimization (2022)Static and Dynamic Scheduling Method of Demand-Responsive Feeder Transit for High-Speed Railway Hub Area (2023)Discovering regions of different functions in a city using human mobility and POIs (2012)Hybrid Traffic Route Visual Recommendation Based on Multilayer Complex Networks (2022)
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References

  • 2015Analysis of a new public-transport-service concept: Customized bus in China252 cited
  • 2017Customized bus service design for jointly optimizing passenger-to-vehicle assignment and vehicle routing239 cited
  • 2019CB-Planner: A bus line planning framework for customized bus systems158 cited
  • 2016Two-phase stochastic program for transit network design under demand uncertainty115 cited
  • 2017Large-Scale Demand Driven Design of a Customized Bus Network: A Methodological Framework and Beijing Case Study72 cited
  • 2017Analyzing Customized Bus Service on a Multimodal Travel Corridor: An Analytical Modeling Approach64 cited
  • 2016T2CBS: Mining taxi trajectories for customized bus systems38 cited
  • 2019Empirical Analysis of Factors Influencing Potential Demand of Customized Buses in Shanghai, China27 cited
  • 2020A Visual Analytics Approach to Scheduling Customized Shuttle Buses via Perceiving Passengers’ Travel Demands20 cited
  • 2020Mobile Phone Data in Urban Customized Bus: A Network-based Hierarchical Location Selection Method with an Application to System Layout Design in the Urban Agglomeration17 cited
  • 2019Mining Customized Bus Demand Spots Based on Smart Card Data: A Case Study of the Beijing Public Transit System13 cited

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