Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Chapter
}
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 -