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A Dual-Objective Layout Model for Electric Vehicle Charging Stations Considering User Attitudes

https://doi.org/10.2139/ssrn.4765103
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Electric vehicles charging infrastructure location: a genetic algorithm approach
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Multi-objective simultaneous optimal planning of electrical vehicle fast charging stations and DGs in distribution system
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Locating electric vehicle charging stations with service capacity using the improved whale optimization algorithm
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Optimal site selection of electric vehicle charging station by using fuzzy TOPSIS based on sustainability perspective
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Daily electric vehicle charging load profiles considering demographics of vehicle users
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Scalable probabilistic estimates of electric vehicle charging given observed driver behavior
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A bi-objective model for location planning of electric vehicle charging stations with GPS trajectory data
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Data-driven cooling, heating and electrical load prediction for building integrated with electric vehicles considering occupant travel behavior
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EV charging station deployment on coupled transportation and power distribution networks via reinforcement learning
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A transfer-based reinforcement learning collaborative energy management strategy for extended-range electric buses with cabin temperature comfort consideration
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A comprehensive planning framework for electric vehicles fast charging station assisted by solar and battery based on Queueing theory and non-dominated sorting genetic algorithm-II in a co-ordinated transportation and power network
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A multi-objective evolutionary approach for the electric vehicle charging stations problem
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Using Protection Motivation Theory to examine information-seeking behaviors on climate change
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Optimal locations of U.S. fast charging stations for long-distance trip completion by battery electric vehicles
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Piloting a capital-based approach for characterizing and evaluating drivers of island sustainability- An application in Chongming Island
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A region-based model for optimizing charging station location problem of electric vehicles considering disruption - A case study
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An agent-based simulation study for escaping the “chicken-egg” dilemma between electric vehicle penetration and charging infrastructure deployment
inferredcites →https://doi.org/10.1016/j.scs.2021.103181openalex-extracted
Public charging station location determination for electric ride-hailing vehicles based on an improved genetic algorithm
inferredcites →https://doi.org/10.1016/j.scs.2022.103978openalex-extracted
Examining spatial disparities in electric vehicle charging station placements using machine learning
inferredcites →https://doi.org/10.1016/j.scs.2022.104125openalex-extracted
Trajectory-driven planning of electric taxi charging stations based on cumulative prospect theory
inferredcites →https://doi.org/10.1016/j.seps.2021.101126openalex-extracted
A multi-objective model for optimizing the socio-economic performance of a pharmaceutical supply chain
inferredcites →https://doi.org/10.1016/j.tra.2022.02.012openalex-extracted
The spatial planning of public electric vehicle charging infrastructure in a high-density city using a contextualised location-allocation model
inferredcites →https://doi.org/10.1016/j.trc.2015.10.004openalex-extracted
Optimizing the locations of electric taxi charging stations: A spatial–temporal demand coverage approach
inferredcites →https://doi.org/10.1016/j.trc.2016.02.003openalex-extracted
Incorporating institutional and spatial factors in the selection of the optimal locations of public electric vehicle charging facilities: A case study of Beijing, China
inferredcites →https://doi.org/10.1016/j.trc.2017.02.014openalex-extracted
A data-driven optimization-based approach for siting and sizing of electric taxi charging stations
inferredcites →https://doi.org/10.1016/j.trc.2023.104459openalex-extracted
Optimal en-route charging station locations for electric vehicles with heterogeneous range anxiety
inferredcites →https://doi.org/10.1016/j.trd.2015.09.011openalex-extracted
Optimal locations of electric public charging stations using real world vehicle travel patterns
inferredcites →https://doi.org/10.1016/j.trd.2016.03.008openalex-extracted
Fast-charging station choice behavior among battery electric vehicle users
inferredcites →https://doi.org/10.1016/j.trd.2021.102840openalex-extracted
Could fast battery charging effectively mitigate range anxiety in electric vehicle usage?Evidence from large-scale data on travel and charging in Beijing
inferredcites →https://doi.org/10.1016/j.trd.2022.103264openalex-extracted
Electric vehicle demand estimation and charging station allocation using urban informatics
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Deployment optimization of battery swapping stations accounting for taxis’ dynamic energy demand
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Evaluating environmental benefits from driving electric vehicles: The case of Shanghai, China
inferredcites →https://doi.org/10.1016/j.tre.2020.102179openalex-extracted
Strategic network design and analysis for in-motion wireless charging of electric vehicles
inferredcites →https://doi.org/10.1080/00207543.2019.1598591openalex-extracted
A bi-objective multi-period facility location problem for household e-waste collection
inferredcites →https://doi.org/10.1080/13658816.2018.1533136openalex-extracted
Reflections and speculations on the progress in Geographic Information Systems (GIS): a geographic perspective
inferredcites →https://doi.org/10.1109/4235.996017openalex-extracted
A fast and elitist multiobjective genetic algorithm: NSGA-II
inferredcites →https://doi.org/10.1109/comst.2017.2698366openalex-extracted
A Survey on Modeling and Optimizing Multi-Objective Systems
inferredcites →https://doi.org/10.1109/smartgridcomm.2013.6688009openalex-extracted
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inferredcites →https://doi.org/10.1109/tii.2023.3245633openalex-extracted
A Data-Driven Approach for Optimizing Early-Stage Electric Vehicle Charging Station Placement
inferredcites →https://doi.org/10.1109/tits.2022.3142196openalex-extracted
Hierarchical Optimization of Charging Infrastructure Design and Facility Utilization
inferredcites →https://doi.org/10.1109/tpwrd.2013.2269142openalex-extracted
Traffic-Constrained Multiobjective Planning of Electric-Vehicle Charging Stations
inferredcites →https://doi.org/10.31235/osf.io/hvw2topenalex-extracted
Examining spatial disparities in electric vehicle charging station placements using machine learning
inferredcites →https://doi.org/10.3389/fenrg.2023.1126411openalex-extracted
Pathways for an island energy transition under climate change: The case of Chongming Island, China
inferredcites →https://doi.org/10.5267/j.ijiec.2023.9.009openalex-extracted
A multi-objective site selection of electric vehicle charging station based on NSGA-II
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