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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
16 references·4 citing·47 second hop
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 Customized Bus…Mobile phone GPS data in urban customized bus: Dynamic line design and emission reduction potentials analysis (2020)Mobile phone GPS data in urba…Mobile phone data in urban bicycle-sharing: Market-oriented sub-area division and spatial analysis on emission reduction potentials (2020)Mobile phone data in urban bi…Mobile phone GPS data in urban bicycle-sharing: Layout optimization and emissions reduction analysis (2019)Mobile phone GPS data in urba…Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data (2019)Incorporating weather conditi…CB-Planner: A bus line planning framework for customized bus systems (2019)CB-Planner: A bus line planni…Urban agglomeration: An evolving concept of an emerging phenomenon (2017)Urban agglomeration: An evolv…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…A Model for the Stop Planning and Timetables of Customized Buses (2017)A Model for the Stop Planning…The Key Contributing Factors of Customized Shuttle Bus in Rush Hour: A Case Study in Harbin City (2016)The Key Contributing Factors …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…Understanding individual human mobility patterns (2008)Understanding individual huma…NP-Hard, Capacitated, Balanced p-Median Problems on a Chain Graph with a Continuum of Link Demands (1988)NP-Hard, Capacitated, Balance…Location-Allocation Problems (1963)Location-Allocation ProblemsStatic and Dynamic Scheduling Method of Demand-Responsive Feeder Transit for High-Speed Railway Hub Area (2023)Static and Dynamic Scheduling…Demand Response Transit Scheduling Research Based on Urban and Rural Transportation Station Optimization (2022)Demand Response Transit Sched…Using POI Data to Identify the Demand for Pedestrian Crossing Facilities at Mid-Block (2021)Using POI Data to Identify th…Identifying the Service Areas and Travel Demand of the Commuter Customized Bus Based on Mobile Phone Signaling Data (2021)Identifying the Service Areas…The origin of bursts and heavy tails in human dynamics (2005)The scaling laws of human travel (2006)Limits of Predictability in Human Mobility (2010)Friendship and mobility (2011)A universal model for mobility and migration patterns (2012)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)Innovation Diffusion As a Spatial Process (1967)Urban and Regional Planning: A Systems Approach (1970)Garden Cities Of To-Morrow (2003)Progress of China's new-type urbanization construction since 2014: A preliminary assessment (2018)Land use efficiency and influencing factors of urban agglomerations in China (2019)The effect of urbanization on environmental pollution in rapidly developing urban agglomerations (2019)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)Local Indicators of Spatial Association—LISA (1995)URBAN SPATIAL STRUCTURE. (1997)Urban Spatial Structure (2010)Policy Zoning for Efficient Land Utilization Based on Spatio-Temporal Integration between the Bicycle-Sharing Service and the Metro Transit (2020)Pre-positioning and real-time disaster response operations: Optimization with mobile phone location data (2021)Does internet public participation slow down environmental pollution? (2022)Central Facilities Location (1970)Integer programming formulations of discrete hub location problems (1994)Location analysis: A synthesis and survey (2004)A squared-euclidean distance location-allocation problem (1992)The capacitated multi-facility location–allocation problem with probabilistic customer location and demand: two hybrid meta-heuristic algorithms (2012)Multi-objective multi-layer congested facility location-allocation problem optimization with Pareto-based meta-heuristics (2015)
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References

  • 2008Understanding individual human mobility patterns6,071 cited
  • 2017Urban agglomeration: An evolving concept of an emerging phenomenon1,015 cited
  • 1963Location-Allocation Problems932 cited
  • 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
  • 1988NP-Hard, Capacitated, Balanced p-Median Problems on a Chain Graph with a Continuum of Link Demands76 cited
  • 2020Mobile phone GPS data in urban customized bus: Dynamic line design and emission reduction potentials analysis73 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
  • 2019Incorporating weather conditions and travel history in estimating the alighting bus stops from smart card data64 cited
  • 2020Mobile phone data in urban bicycle-sharing: Market-oriented sub-area division and spatial analysis on emission reduction potentials58 cited
  • 2019Mobile phone GPS data in urban bicycle-sharing: Layout optimization and emissions reduction analysis55 cited
  • 2017

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A Model for the Stop Planning and Timetables of Customized Buses
43 cited
  • 2016T2CBS: Mining taxi trajectories for customized bus systems38 cited
  • 2016The Key Contributing Factors of Customized Shuttle Bus in Rush Hour: A Case Study in Harbin City37 cited
  • Cited by

    • 2022Demand Response Transit Scheduling Research Based on Urban and Rural Transportation Station Optimization17 cited
    • 2023Static and Dynamic Scheduling Method of Demand-Responsive Feeder Transit for High-Speed Railway Hub Area8 cited
    • 2021Using POI Data to Identify the Demand for Pedestrian Crossing Facilities at Mid-Block7 cited
    • 2021Identifying the Service Areas and Travel Demand of the Commuter Customized Bus Based on Mobile Phone Signaling Data5 cited