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A heuristic approach for investigating the integration of electric mobility charging infrastructure in metropolitan areas: an agent-based modeling simulation

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A heuristic approach for investigating the integration of electric mobility charging infrastructure in metropolitan areas : an agent-based modeling simulation. / El-Banhawy, Eiman; Dalton, Ruth; Thompson, Emine Mine; Kotter, Richard.

Proceedings of the 2nd International Symposium on Environment-Friendly Energies and Applications (EFEA). United States : IEEE, 2012. p. 74-86.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNChapter

Harvard

El-Banhawy, E, Dalton, R, Thompson, EM & Kotter, R 2012, A heuristic approach for investigating the integration of electric mobility charging infrastructure in metropolitan areas: an agent-based modeling simulation. in Proceedings of the 2nd International Symposium on Environment-Friendly Energies and Applications (EFEA). IEEE, United States, pp. 74-86. https://doi.org/10.1109/EFEA.2012.6294081

APA

El-Banhawy, E., Dalton, R., Thompson, E. M., & Kotter, R. (2012). A heuristic approach for investigating the integration of electric mobility charging infrastructure in metropolitan areas: an agent-based modeling simulation. In Proceedings of the 2nd International Symposium on Environment-Friendly Energies and Applications (EFEA) (pp. 74-86). IEEE. https://doi.org/10.1109/EFEA.2012.6294081

Vancouver

El-Banhawy E, Dalton R, Thompson EM, Kotter R. A heuristic approach for investigating the integration of electric mobility charging infrastructure in metropolitan areas: an agent-based modeling simulation. In Proceedings of the 2nd International Symposium on Environment-Friendly Energies and Applications (EFEA). United States: IEEE. 2012. p. 74-86 https://doi.org/10.1109/EFEA.2012.6294081

Author

El-Banhawy, Eiman ; Dalton, Ruth ; Thompson, Emine Mine ; Kotter, Richard. / A heuristic approach for investigating the integration of electric mobility charging infrastructure in metropolitan areas : an agent-based modeling simulation. Proceedings of the 2nd International Symposium on Environment-Friendly Energies and Applications (EFEA). United States : IEEE, 2012. pp. 74-86

Bibtex

@inbook{26d0177cf6704e26added1cc59b57bd0,
title = "A heuristic approach for investigating the integration of electric mobility charging infrastructure in metropolitan areas: an agent-based modeling simulation",
abstract = "This paper discusses devising a methodology for developing a heuristic approach for planning authorities and policy makers to investigate the integration of electric mobility charging infrastructure in metropolitan cities, particularly in the UK. This study is a part of a PhD research project; it presents a part of its overall methodology, which will be employed in a smaller-scale pilot project to obtain initial findings. An agent-based modelling and simulation (ABMS) technique is proposed to represent the phenomenon and analyze it. This study covers the development of the model, emphasizing how it would reflect Electric Vehicles (EVs) current users{\textquoteright} behaviours and their charging habits. The aim of the PhD research is to examine whether the current electric mobility charging infrastructure can support current users and whether it can accommodate future potential users or if the planning authorities and policy makers need to forecast and plan for more charging points. This in return shall potentially provide a better accessibility to e-mobility and support its market, partly by better informed location decision making.",
keywords = "agent attributes, agent based modeling simulation-ABMS, EVs users' behaviors, electric mobility",
author = "Eiman El-Banhawy and Ruth Dalton and Thompson, {Emine Mine} and Richard Kotter",
year = "2012",
month = jun,
day = "25",
doi = "10.1109/EFEA.2012.6294081",
language = "English",
isbn = "9781467329095",
pages = "74--86",
booktitle = "Proceedings of the 2nd International Symposium on Environment-Friendly Energies and Applications (EFEA)",
publisher = "IEEE",

}

RIS

TY - CHAP

T1 - A heuristic approach for investigating the integration of electric mobility charging infrastructure in metropolitan areas

T2 - an agent-based modeling simulation

AU - El-Banhawy, Eiman

AU - Dalton, Ruth

AU - Thompson, Emine Mine

AU - Kotter, Richard

PY - 2012/6/25

Y1 - 2012/6/25

N2 - This paper discusses devising a methodology for developing a heuristic approach for planning authorities and policy makers to investigate the integration of electric mobility charging infrastructure in metropolitan cities, particularly in the UK. This study is a part of a PhD research project; it presents a part of its overall methodology, which will be employed in a smaller-scale pilot project to obtain initial findings. An agent-based modelling and simulation (ABMS) technique is proposed to represent the phenomenon and analyze it. This study covers the development of the model, emphasizing how it would reflect Electric Vehicles (EVs) current users’ behaviours and their charging habits. The aim of the PhD research is to examine whether the current electric mobility charging infrastructure can support current users and whether it can accommodate future potential users or if the planning authorities and policy makers need to forecast and plan for more charging points. This in return shall potentially provide a better accessibility to e-mobility and support its market, partly by better informed location decision making.

AB - This paper discusses devising a methodology for developing a heuristic approach for planning authorities and policy makers to investigate the integration of electric mobility charging infrastructure in metropolitan cities, particularly in the UK. This study is a part of a PhD research project; it presents a part of its overall methodology, which will be employed in a smaller-scale pilot project to obtain initial findings. An agent-based modelling and simulation (ABMS) technique is proposed to represent the phenomenon and analyze it. This study covers the development of the model, emphasizing how it would reflect Electric Vehicles (EVs) current users’ behaviours and their charging habits. The aim of the PhD research is to examine whether the current electric mobility charging infrastructure can support current users and whether it can accommodate future potential users or if the planning authorities and policy makers need to forecast and plan for more charging points. This in return shall potentially provide a better accessibility to e-mobility and support its market, partly by better informed location decision making.

KW - agent attributes

KW - agent based modeling simulation-ABMS

KW - EVs users' behaviors

KW - electric mobility

U2 - 10.1109/EFEA.2012.6294081

DO - 10.1109/EFEA.2012.6294081

M3 - Chapter

SN - 9781467329095

SP - 74

EP - 86

BT - Proceedings of the 2nd International Symposium on Environment-Friendly Energies and Applications (EFEA)

PB - IEEE

CY - United States

ER -