Evaluating the Fulfilment Rate of Charging Demand for Electric Vehicles Using Open-Source Data

Hana Elattar, Ferdinand von Tüllenburg, Sebastian Wöllmann, Javier Valdes

2023

Abstract

With the shift towards electric vehicles accelerating; we are working with open-source data to estimate to which degree existing charging infrastructure is fulfilling the demand created by electric vehicles. This paper is explaining how to create such a calculation by extracting data from large public areas in the city of Lindau (Bodensee), Germany as a showcase. With this data we aim to evaluate whether charging stations located in the premises of public and commercial buildings cover the demand of electric vehicles reaching the said buildings. This research is conducted as a first step of methodologies development that aims on the long term to create a tool that supports in the optimal placement of new charging stations. The methodology chosen is inspired by two main concepts: the first is the attractiveness factor concept used for the creation of travel models, while the second is the classification of charging stations based on location to determine their rate of occupancy. They are both used to cluster buildings and charging stations respectively to be able to determine the number of users in the area of study (AOS) compared to the overall number of electric vehicles reaching the destination in a given day. This paper takes the island in the centre of the city of Lindau (Bodensee) as its area under investigation and uses open-source data along with the appropriate assumptions as a base for its calculations.

Paper Citation

in Harvard Style

Elattar H., von Tüllenburg F., Wöllmann S. and Valdes J. (2023). Evaluating the Fulfilment Rate of Charging Demand for Electric Vehicles Using Open-Source Data. In Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-649-1, SciTePress, pages 159-166. DOI: 10.5220/0011849400003473

in Bibtex Style

@conference{gistam23,
author={Hana Elattar and Ferdinand von Tüllenburg and Sebastian Wöllmann and Javier Valdes},
title={Evaluating the Fulfilment Rate of Charging Demand for Electric Vehicles Using Open-Source Data},
booktitle={Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2023},
pages={159-166},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011849400003473},
isbn={978-989-758-649-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Evaluating the Fulfilment Rate of Charging Demand for Electric Vehicles Using Open-Source Data
SN - 978-989-758-649-1
AU - Elattar H.
AU - von Tüllenburg F.
AU - Wöllmann S.
AU - Valdes J.
PY - 2023
SP - 159
EP - 166
DO - 10.5220/0011849400003473
PB - SciTePress