{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T17:45:49Z","timestamp":1777657549846,"version":"3.51.4"},"reference-count":73,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T00:00:00Z","timestamp":1734998400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Purdue University\u2019s Center for Connected and Automated Transportation (CCAT)","award":["#69A3551747105"],"award-info":[{"award-number":["#69A3551747105"]}]},{"name":"U.S. Department of Transportation","award":["#69A3551747105"],"award-info":[{"award-number":["#69A3551747105"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sustainability"],"abstract":"<jats:p>This paper proposes a decision-making framework for a multiple-period planning of electric vehicle (EV) charging station development. In this proposed framework, transportation planners seek to implement a phased provision of electric charging stations as well as repurposing gas stations at selected locations. The developed framework is presented as a bi-level optimization problem that determines the optimal electric charging network design while capturing the practical constraints and travelers\u2019 decisions. The upper level minimizes overall vehicle CO emissions by selecting optimal charging stations and their capacities, while the lower-level models travelers\u2019 choices of vehicle class (EV or conventional) and travel routes. A genetic algorithm is developed to solve this problem. The results of the numerical experiments describe the sensitive nature of EV market penetration rates in the urban traffic stream and overall vehicle CO emissions to EV charging station availability and capacity. The findings can assist transportation agencies in designing effective EV charging infrastructure by identifying optimal locations and capacities, as well as in creating policies to encourage EV use over time. This study supports broader efforts to reduce air pollution and promote sustainable transportation by promoting EV adoption in the long term.<\/jats:p>","DOI":"10.3390\/su17010001","type":"journal-article","created":{"date-parts":[[2024,12,24]],"date-time":"2024-12-24T02:50:56Z","timestamp":1735008656000},"page":"1","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Sustainable Planning of Electric Vehicle Charging Stations: A Bi-Level Optimization Framework for Reducing Vehicular Emissions in Urban Road Networks"],"prefix":"10.3390","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0700-1711","authenticated-orcid":false,"given":"Sania","family":"E. Seilabi","sequence":"first","affiliation":[{"name":"Department of Civil and Structural Engineering, State University of New York, University at Buffalo, Buffalo, NY 14260, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9972-7722","authenticated-orcid":false,"given":"Mohammadhosein","family":"Pourgholamali","sequence":"additional","affiliation":[{"name":"Lyles School of Civil and Construction Engineering, Center for Connected and Automated Transportation, Purdue University, West Lafayette, IN 47907, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4547-4192","authenticated-orcid":false,"given":"Mohammad","family":"Miralinaghi","sequence":"additional","affiliation":[{"name":"Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9785-3135","authenticated-orcid":false,"given":"Gon\u00e7alo","family":"Homem de Almeida Correia","sequence":"additional","affiliation":[{"name":"Department of Transport & Planning, Delft University of Technology, 2600 GA Delft, The Netherlands"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6500-7460","authenticated-orcid":false,"given":"Zongzhi","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Civil, Architectural, and Environmental Engineering, Illinois Institute of Technology, Chicago, IL 60616, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9830-2071","authenticated-orcid":false,"given":"Samuel","family":"Labi","sequence":"additional","affiliation":[{"name":"Lyles School of Civil and Construction Engineering, Center for Connected and Automated Transportation, Purdue University, West Lafayette, IN 47907, USA"}]}],"member":"1968","published-online":{"date-parts":[[2024,12,24]]},"reference":[{"key":"ref_1","unstructured":"IPCC (2007). Climate Change: Working Group III: Mitigation of Climate Change, IPCC."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Pourgholamali, M., Davatgari, A., Wang, J., Benny, D., Miralinaghi, M., and Labi, S. (2022). Facilitating Electric Propulsion of Autonomous Vehicles Through Efficient Design of a Charging-Facility Network, The Center for Connected and Automated Transportation, Purdue University. CCAT Report #40.","DOI":"10.5703\/1288284317703"},{"key":"ref_3","unstructured":"U.S. Energy Information Administration (2014). Annual Energy Outlook 2014."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"137401","DOI":"10.1016\/j.jclepro.2023.137401","article-title":"Exploratory policy analysis for electric vehicle adoption in European countries: A multi-agent-based modelling approach","volume":"414","author":"Neshat","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"137452","DOI":"10.1016\/j.jclepro.2023.137452","article-title":"Energy saving and emission reduction effects from the application of green light optimized speed advisory on plug-in hybrid vehicle","volume":"412","author":"Jia","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1109\/MCE.2017.2755278","article-title":"Addressing EMI in Electric Cars with Radio Tuner Architecture [Future Directions]","volume":"7","author":"Racherla","year":"2018","journal-title":"IEEE Consum. Electron. Mag."},{"key":"ref_7","unstructured":"CarEdge (2023, December 02). Electric vehicle sales and market share (US\u2014Updated monthly). Available online: https:\/\/caredge.com\/guides\/electric-vehicle-market-share-and-sales."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"136318","DOI":"10.1016\/j.jclepro.2023.136318","article-title":"Optimal scheduling strategy for orderly charging and discharging of electric vehicles based on spatio-temporal characteristics","volume":"392","author":"Wu","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_9","unstructured":"Alternative Fuels Data Center (2023, September 02). Electric Registrations by State, Available online: https:\/\/afdc.energy.gov\/data\/widgets\/10962."},{"key":"ref_10","unstructured":"(2023, September 02). Highway Statistics Series, Available online: https:\/\/www.fhwa.dot.gov\/policyinformation\/statistics.cfm."},{"key":"ref_11","unstructured":"Indiana Department of Transportation (2022). Indiana Electric Vehicle Infrastructure Deployment Plan."},{"key":"ref_12","unstructured":"Michigan Department of Transportation (2024, November 20). Michigan State Plan for Electric Vehicle Infrastructure Deployment, Available online: https:\/\/www.fhwa.dot.gov\/environment\/nevi\/ev_deployment_plans\/mi_nevi_plan.pdf."},{"key":"ref_13","unstructured":"New York Department of Transportation (2024, November 20). New York State National Electric Vehicle Infrastructure Formula Program, Available online: https:\/\/www.fhwa.dot.gov\/environment\/nevi\/ev_deployment_plans\/ny_nevi_plan.pdf."},{"key":"ref_14","unstructured":"Texas Department of Transportation (2022). Texas Electric Vehicle Infrastructure Plan."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"136742","DOI":"10.1016\/j.jclepro.2023.136742","article-title":"Development of an energy consumption prediction model for battery electric vehicles in real-world driving: A combined approach of short-trip segment division and deep learning","volume":"400","author":"Pan","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_16","unstructured":"(2023, December 23). USA Facts. Available online: https:\/\/usafacts.org\/articles\/how-many-electric-vehicle-charging-stations-are-there-in-the-us\/."},{"key":"ref_17","unstructured":"(2023, December 23). Statista. Available online: https:\/\/www.statista.com\/statistics\/525107\/number-of-gasoline-stations-in-the-united-states\/."},{"key":"ref_18","unstructured":"Le Sage, J. (USA Today, 2017). Electric vehicle charging points to rise significantly in 2018, USA Today."},{"key":"ref_19","unstructured":"FHWA (2024, November 20). Historic Step: All Fifty States Plus D.C. and Puerto Rico Greenlit to Move EV Charging Networks Forward, Covering 75,000 Miles of Highway|FHWA, Available online: https:\/\/highways.dot.gov\/newsroom\/historic-step-all-fifty-states-plus-dc-and-puerto-rico-greenlit-move-ev-charging-networks."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Xiong, H., Shahidehpour, M., Shi, Y., Luo, F., and Guo, C. (2024). Multi-period Planning for Renewable Electric Vehicle Charging Stations in Coordinated Power Distribution and Transportation Networks with Non-anticipativity Constraints. IEEE Trans. Transp. Electrif.","DOI":"10.1109\/TTE.2024.3446461"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Li, K., Shao, C., Huang, X., Shahidehpour, M., and Wang, X. (2024). Day-Ahead Charging Capacity Market for Power Distribution Network with Electric Vehicle Charging Stations. IEEE Trans. Power Syst.","DOI":"10.1109\/TPWRS.2024.3467166"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"3019","DOI":"10.1109\/TSG.2020.2969650","article-title":"Enhanced Coordinated Operations of Electric Power and Transportation Networks via EV Charging Services","volume":"11","author":"Qian","year":"2020","journal-title":"IEEE Trans. Smart Grid"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1109\/TPWRS.2018.2867176","article-title":"Coordinated Planning Strategy for Electric Vehicle Charging Stations and Coupled Traffic-Electric Networks","volume":"34","author":"Wang","year":"2019","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_24","unstructured":"Lambert, F. (2020, November 19). Gas Station Removes Gas Pumps to Make Space for Electric Car-Charging Stations\u2014Electrek. Available online: https:\/\/electrek.co\/2019\/09\/27\/gas-station-removes-gas-pumps-for-electric-car-charging-stations\/."},{"key":"ref_25","first-page":"e12848","article-title":"Electric vehicle charging stations: Model, algorithm, simulation, location, and capacity planning","volume":"10","author":"Ok","year":"2024","journal-title":"Heliyon"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"416","DOI":"10.1177\/03611981231189742","article-title":"Deploying fast charging infrastructure for electric vehicles in urban networks: An activity-based approach","volume":"2678","author":"Kavianipour","year":"2024","journal-title":"Transp. Res. Rec."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1053","DOI":"10.1177\/03611981221112405","article-title":"Charging infrastructure and schedule planning for a public transit network with a mixed fleet of electric and diesel buses","volume":"2677","author":"Soltanpour","year":"2023","journal-title":"Transp. Res. Rec."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"04023016","DOI":"10.1061\/JITSE4.ISENG-2191","article-title":"Robust Design of Electric Charging Infrastructure Locations under Travel Demand Uncertainty and Driving Range Heterogeneity","volume":"29","author":"Pourgholamali","year":"2023","journal-title":"J. Infrastruct. Syst."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"103835","DOI":"10.1016\/j.trd.2023.103835","article-title":"A data-driven large-scale micro-simulation approach to deploying and operating wireless charging lanes","volume":"121","author":"He","year":"2023","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1016\/j.trb.2018.11.001","article-title":"The urban recharging infrastructure design problem with stochastic demands and capacitated charging stations","volume":"119","author":"Olcaytu","year":"2019","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"103652","DOI":"10.1016\/j.trc.2022.103652","article-title":"Dynamic wireless charging lanes location model in urban networks considering route choices","volume":"139","author":"Tran","year":"2022","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/s11067-006-9003-6","article-title":"Location of Alternative-Fuel Stations Using the Flow-Refueling Location Model and Dispersion of Candidate Sites on Arcs","volume":"7","author":"Kuby","year":"2007","journal-title":"Netw. Spat. Econ."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"85","DOI":"10.1111\/j.1538-4632.2009.00744.x","article-title":"A Model for Location of Capacitated Alternative-Fuel Stations","volume":"41","author":"Upchurch","year":"2009","journal-title":"Geogr. Anal."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"6045","DOI":"10.1016\/j.ijhydene.2009.05.050","article-title":"Optimization of hydrogen stations in Florida using the Flow-Refueling Location Model","volume":"34","author":"Kuby","year":"2009","journal-title":"Int. J. Hydrogen Energy"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"51","DOI":"10.1016\/j.ejor.2009.09.032","article-title":"Heuristic algorithms for siting alternative-fuel stations using the Flow-Refueling Location Model","volume":"204","author":"Lim","year":"2010","journal-title":"Eur. J. Oper. Res."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"5406","DOI":"10.1016\/j.ijhydene.2011.08.108","article-title":"The deviation-flow refueling location model for optimizing a network of refueling stations","volume":"37","author":"Kim","year":"2012","journal-title":"Int. J. Hydrogen Energy"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"142","DOI":"10.1016\/j.ejor.2012.11.033","article-title":"An arc cover\u2013path-cover formulation and strategic analysis of alternative-fuel station locations","volume":"227","author":"Capar","year":"2013","journal-title":"Eur. J. Oper. Res."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"129","DOI":"10.1007\/s11067-016-9320-3","article-title":"Capacitated Refueling Station Location Problem with Traffic Deviations Over Multiple Time Periods","volume":"17","author":"Miralinaghi","year":"2016","journal-title":"Netw. Spat. Econ."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"135906","DOI":"10.1016\/j.jclepro.2023.135906","article-title":"Optimal configuration planning of vehicle sharing station-based electro-hydrogen micro-energy systems for transportation decarbonization","volume":"387","author":"Zeng","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"3335","DOI":"10.1016\/j.ijhydene.2016.12.137","article-title":"Refueling station location problem with traffic deviation considering route choice and demand uncertainty","volume":"42","author":"Miralinaghi","year":"2017","journal-title":"Int. J. Hydrogen Energy"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"137305","DOI":"10.1016\/j.jclepro.2023.137305","article-title":"Management of hydrogen mobility challenges: A systematic literature review","volume":"410","author":"Calandra","year":"2023","journal-title":"J. Clean. Prod."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"791","DOI":"10.1016\/j.tre.2009.12.001","article-title":"Locating passenger vehicle refueling stations","volume":"46","author":"Wang","year":"2010","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1007\/s11067-014-9275-1","article-title":"Optimal Deployment of Alternative Fueling Stations on Transportation Networks Considering Deviation Paths","volume":"15","author":"Huang","year":"2015","journal-title":"Netw. Spat. Econ."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1016\/j.trc.2016.04.016","article-title":"A general corridor model for designing plug-in electric vehicle charging infrastructure to support intercity travel","volume":"68","author":"Ghamami","year":"2016","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"354","DOI":"10.1016\/j.trd.2017.04.035","article-title":"A stochastic flow-capturing model to optimize the location of fast-charging stations with uncertain electric vehicle flows","volume":"53","author":"Wu","year":"2017","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"263","DOI":"10.1016\/j.ejor.2020.01.055","article-title":"Increasing electric vehicle adoption through the optimal deployment of fast-charging stations for local and long-distance travel","volume":"285","author":"Anjos","year":"2020","journal-title":"Eur. J. Oper. Res."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"28","DOI":"10.3141\/2385-04","article-title":"Locating Electric Vehicle Charging Stations","volume":"2385","author":"Chen","year":"2013","journal-title":"Transp. Res. Rec. J. Transp. Res. Board"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.trb.2016.05.018","article-title":"Optimal deployment of charging lanes for electric vehicles in transportation networks","volume":"91","author":"Chen","year":"2016","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1007\/s11067-016-9332-z","article-title":"Traffic Equilibrium and Charging Facility Locations for Electric Vehicles","volume":"17","author":"Zheng","year":"2017","journal-title":"Netw. Spat. Econ."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.trb.2017.01.005","article-title":"Locating multiple types of charging facilities for battery electric vehicles","volume":"103","author":"Liu","year":"2017","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"102179","DOI":"10.1016\/j.tre.2020.102179","article-title":"Strategic network design and analysis for in-motion wireless charging of electric vehicles","volume":"145","author":"Mubarak","year":"2021","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"101949","DOI":"10.1016\/j.compenvurbsys.2023.101949","article-title":"An agent-based modeling approach for public charging demand estimation and charging station location optimization at urban scale","volume":"101","author":"Yi","year":"2023","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"1767","DOI":"10.1002\/mde.3781","article-title":"Electric vehicle charge station layout planning: A case study in Istanbul Technical University campus","volume":"44","author":"Muyesseroglu","year":"2023","journal-title":"Manag. Decis. Econ."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"5246","DOI":"10.1016\/j.egyr.2023.04.355","article-title":"Optimal deployment of fast-charging stations for electric vehicles considering the sizing of the electrical distribution network and traffic condition","volume":"9","author":"Campana","year":"2023","journal-title":"Energy Rep."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"104459","DOI":"10.1016\/j.trc.2023.104459","article-title":"Optimal en-route charging station locations for electric vehicles with heterogeneous range anxiety","volume":"158","author":"Zeng","year":"2024","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"292","DOI":"10.1016\/j.trd.2006.05.003","article-title":"Internalizing emission externality on road networks","volume":"11","author":"Yin","year":"2006","journal-title":"Transp. Res. Part D Transp. Environ."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.trb.2017.02.007","article-title":"Emission Modeling and Pricing on Single-destination Dynamic Traffic Networks","volume":"100","author":"Ma","year":"2017","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"104969","DOI":"10.1016\/j.scs.2023.104969","article-title":"Sustainable deployment of autonomous vehicles dedicated lanes in urban traffic networks","volume":"99","author":"Pourgholamali","year":"2023","journal-title":"Sustain. Cities Soc."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"102999","DOI":"10.1016\/j.tre.2022.102999","article-title":"Stochastic ridesharing equilibrium problem with compensation optimization","volume":"170","author":"Li","year":"2023","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_60","doi-asserted-by":"crossref","first-page":"3307","DOI":"10.1016\/j.enpol.2011.03.021","article-title":"Development of a market penetration forecasting model for Hydrogen Fuel Cell Vehicles considering infrastructure and cost reduction effects","volume":"39","author":"Park","year":"2011","journal-title":"Energy Policy"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1016\/j.trc.2017.11.016","article-title":"Towards a quantitative method to analyze the long-term innovation diffusion of automated vehicles technology using system dynamics","volume":"86","author":"Nieuwenhuijsen","year":"2018","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_62","unstructured":"Bazaraa, M.S., Sherali, H.D., and Shetty, C.M. (2013). Nonlinear Programming: Theory and Algorithms, John Wiley & Sons."},{"key":"ref_63","unstructured":"William, H.K.L., Wong, S.C., and Lo Hong, K. (2009). An active-set algorithm for discrete network design problems. Transportation and Traffic Theory 2009: Golden Jubilee, Springer."},{"key":"ref_64","unstructured":"Goldberg, D.E. (1988). Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Publishing Company, Inc."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"762","DOI":"10.1016\/j.ejor.2015.05.039","article-title":"Integration of selecting and scheduling urban road construction projects as a time-dependent discrete network design problem","volume":"246","author":"Hosseininasab","year":"2015","journal-title":"Eur. J. Oper. Res."},{"key":"ref_66","first-page":"134","article-title":"Performance of one-way carsharing systems under combined strategy of pricing and relocations","volume":"9","author":"Lua","year":"2021","journal-title":"Transp. B Transp. Dyn."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"110385","DOI":"10.1016\/j.epsr.2024.110385","article-title":"A novel optimal dispatch strategy for hybrid energy ship power system based on the improved NSGA-II algorithm","volume":"232","author":"Wang","year":"2024","journal-title":"Electr. Power Syst. Res."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1016\/j.ijtst.2017.05.007","article-title":"A complementarity equilibrium model for electric vehicles with charging","volume":"6","author":"Bahrami","year":"2017","journal-title":"Int. J. Transp. Sci. Technol."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"309","DOI":"10.1016\/0041-1647(75)90030-1","article-title":"An Efficient Approach to Solving the Road Network Equilibrium Traffic Assignment Problem","volume":"9","author":"LeBlanc","year":"1975","journal-title":"Transp. Res."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"580","DOI":"10.1111\/mice.12193","article-title":"Relay Requirement and Traffic Assignment of Electric Vehicles","volume":"31","author":"Xie","year":"2016","journal-title":"Comput.-Aided Civ. Infrastruct. Eng."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"4252946","DOI":"10.1155\/2017\/4252946","article-title":"Location Design of Electric Vehicle Charging Facilities: A Path-Distance Constrained Stochastic User Equilibrium Approach","volume":"2017","author":"Jing","year":"2017","journal-title":"J. Adv. Transp."},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"143","DOI":"10.1016\/j.trc.2016.09.013","article-title":"Optimal deployment of autonomous vehicle lanes with endogenous market penetration","volume":"72","author":"Chen","year":"2016","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_73","unstructured":"FHWA (2016). The Value of Travel Time Savings: Departmental Guidance for Conducting Economic Evaluations."}],"container-title":["Sustainability"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2071-1050\/17\/1\/1\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T16:58:54Z","timestamp":1760115534000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2071-1050\/17\/1\/1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,24]]},"references-count":73,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,1]]}},"alternative-id":["su17010001"],"URL":"https:\/\/doi.org\/10.3390\/su17010001","relation":{},"ISSN":["2071-1050"],"issn-type":[{"value":"2071-1050","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,12,24]]}}}