Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 437

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

Frade, Inês, Ribeiro, Anabela, Gonçalves, Gonçalo, Antunes, António Pais·2011·Transportation Research Record: Journal of the Transportation Research Board

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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3141/2252-12

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Cited by

See all 437

Metadata

Authors
Frade, I., Ribeiro, A., Gonçalves, G., & Antunes, A. P.
Venue
Transportation Research Record: Journal of the Transportation Research Board
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

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Optimal Location of Charging Stations for Electric Vehicles in a Neighborhood in Lisbon, Portugal. https://app.cochat.ai/papers/10.3141/2252-12
The paper
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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.