The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Optimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal
Abstract
Growing concerns about environmental issues have led to the consideration of alternatives to current mobility. Electric mobility is one such alternative that is receiving a great deal of attention in Europe. In particular, a new legal framework for the introduction of an electric mobility system in Portugal has recently been set up by the government. A key issue in this system is recharging the batteries and, consequently, the location of charging stations. This paper presents a study on the location of electric-vehicle charging stations for an area of Lisbon, the capital city of Portugal, characterized with a strong concentration of population and employment. This type of area is appropriate for slow charging because vehicles stay parked for several hours within a 24-h period. The methodology used here is based on a maximal covering model to optimize the demand covered within an acceptable level of service and to define the number and capacity of the stations to be installed. The results clearly indicate that this methodology can be useful in the future planning of electric mobility systems.
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Cites
The maximal covering location problem
Church, R., & ReVelle, C. (1974) · Papers of the Regional Science Association · doi:10.1007/bf01942293 · Cited by 2,713
The state of the art of electric, hybrid, and fuel cell vehicles
Chan, C. C. (2007) · Proceedings of the IEEE · doi:10.1109/jproc.2007.892489 · Cited by 1,987
What you should know about location modeling
Daskin, M. S. (2008) · Naval Research Logistics (NRL) · doi:10.1002/nav.20284 · Cited by 252
Transportation for Livable Cities
Vuchic, V. R. (2017) · Routledge eBooks · doi:10.4324/9781351318167 · Cited by 233
Nemry, F., Leduc, G., & Muñoz, A. (2009) · RePEc: Research Papers in Economics · Cited by 93
Electric vehicle and plug-in hybrid energy efficiency and life cycle emissions
Helms, H., Pehnt, M., Lambrecht, U., et al. (2010) · Cited by 91
Nemry, F., & Brons, M. (2010) · RePEc: Research Papers in Economics · Cited by 73
Cited by
Cai, H., Jia, X., Chiu, A. S. F., Hu, X., & Xu, M. (2014) · Transportation Research Part D: Transport and Environment · doi:10.1016/j.trd.2014.09.003 · Cited by 301
Erbaş, M., Kabak, M., Özceylan, E., & Çetinkaya, C. (2018) · Energy · doi:10.1016/j.energy.2018.08.140 · Cited by 300
Kunith, A., Mendelevitch, R., & Goehlich, D. (2017) · International Journal of Sustainable Transportation · doi:10.1080/15568318.2017.1310962 · Cited by 286
Charging station location problem: A comprehensive review on models and solution approaches
Kchaou-Boujelben, M. (2021) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2021.103376 · Cited by 285
Key challenges for a large-scale development of battery electric vehicles: A comprehensive review
Lebrouhi, B. E., Khattari, Y., Lamrani, B., Maaroufi, M., Zeraouli, Y., & Kousksou, T. (2021) · Journal of Energy Storage · doi:10.1016/j.est.2021.103273 · Cited by 276
Metadata
- Authors
- Frade, I., Ribeiro, A., Gonçalves, G., & Antunes, A. P.
- Venue
- Transportation Research Record: Journal of the Transportation Research Board
- Publisher
- SAGE Publications
- Published
- 2011-01
- Volume
- 2252
- Issue
- 1
- Pages
- 91-98
- ISSN
- 0361-1981 (ISSN-L)
- 2169-4052
- OpenAlex
- W1997617119
- Cited by
- 437
- References
- 7
- FWCI
- 8.02
- Type
- journal article
- Language
- en
- Open access
- closed
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- Frade, I., Ribeiro, A., Gonçalves, G., & Antunes, A. P. (2011). Optimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal. Transportation Research Record: Journal of the Transportation Research Board. https://doi.org/10.3141/2252-12
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