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Integrating space-syntax and discrete-event simulation for e-mobility analysis

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Integrating space-syntax and discrete-event simulation for e-mobility analysis. / El-Banhawy, Eiman; Dalton, Ruth; Nassar, Khaled.

AEI 2013: Building Solutions for Architectural Engineering. American Society of Civil Engineers, 2013. p. 934-945.

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

Harvard

El-Banhawy, E, Dalton, R & Nassar, K 2013, Integrating space-syntax and discrete-event simulation for e-mobility analysis. in AEI 2013: Building Solutions for Architectural Engineering. American Society of Civil Engineers, pp. 934-945. https://doi.org/10.1061/9780784412909.091

APA

El-Banhawy, E., Dalton, R., & Nassar, K. (2013). Integrating space-syntax and discrete-event simulation for e-mobility analysis. In AEI 2013: Building Solutions for Architectural Engineering (pp. 934-945). American Society of Civil Engineers. https://doi.org/10.1061/9780784412909.091

Vancouver

El-Banhawy E, Dalton R, Nassar K. Integrating space-syntax and discrete-event simulation for e-mobility analysis. In AEI 2013: Building Solutions for Architectural Engineering. American Society of Civil Engineers. 2013. p. 934-945 doi: 10.1061/9780784412909.091

Author

El-Banhawy, Eiman ; Dalton, Ruth ; Nassar, Khaled. / Integrating space-syntax and discrete-event simulation for e-mobility analysis. AEI 2013: Building Solutions for Architectural Engineering. American Society of Civil Engineers, 2013. pp. 934-945

Bibtex

@inbook{2c62ec2d24bc48709ca8f559ad11d30f,
title = "Integrating space-syntax and discrete-event simulation for e-mobility analysis",
abstract = "Modeling and simulation of dynamic systems has been commonly used in the context of transportation, urban planning, and land use as being the basic tool for planners and policy makers. Vehicular movement modeling is one of the most popular models that deal with relevant aspects of urban regions and communities. This paper focuses on a particular mobility system; electric vehicles (EVs) clusters. It presents a study was conducted to simulate EVs population of the inner urban core of Newcastle-Gateshead via a developed 2D simulation model. The novelty of this study is the new approach proposed to simulate EV population in particular vicinity. This is by utilizing hybrid simulation technique (agent based modeling and discrete events) while applying space syntax theory and principles to predict the travel demand pattern of the urban system. The combination of these layers of modeling within the context of electrical mobility has proven successful in portraying the population and showed promising results. It aims at providing guidelines and recommendations to locate preliminary charging points and determine their numbers and capacities, which should be of interest for researchers, planning authorities and policy makers. This paper is a part of an EU project that focuses on simulating a part of the North Sea Region e-mobility system. {\textcopyright} 2013 American Society of Civil Engineers.",
keywords = "agents, discrete events, electric vehicles, simulation, space syntax",
author = "Eiman El-Banhawy and Ruth Dalton and Khaled Nassar",
year = "2013",
doi = "10.1061/9780784412909.091",
language = "English",
isbn = "9780784412909",
pages = "934--945",
booktitle = "AEI 2013",
publisher = "American Society of Civil Engineers",

}

RIS

TY - CHAP

T1 - Integrating space-syntax and discrete-event simulation for e-mobility analysis

AU - El-Banhawy, Eiman

AU - Dalton, Ruth

AU - Nassar, Khaled

PY - 2013

Y1 - 2013

N2 - Modeling and simulation of dynamic systems has been commonly used in the context of transportation, urban planning, and land use as being the basic tool for planners and policy makers. Vehicular movement modeling is one of the most popular models that deal with relevant aspects of urban regions and communities. This paper focuses on a particular mobility system; electric vehicles (EVs) clusters. It presents a study was conducted to simulate EVs population of the inner urban core of Newcastle-Gateshead via a developed 2D simulation model. The novelty of this study is the new approach proposed to simulate EV population in particular vicinity. This is by utilizing hybrid simulation technique (agent based modeling and discrete events) while applying space syntax theory and principles to predict the travel demand pattern of the urban system. The combination of these layers of modeling within the context of electrical mobility has proven successful in portraying the population and showed promising results. It aims at providing guidelines and recommendations to locate preliminary charging points and determine their numbers and capacities, which should be of interest for researchers, planning authorities and policy makers. This paper is a part of an EU project that focuses on simulating a part of the North Sea Region e-mobility system. © 2013 American Society of Civil Engineers.

AB - Modeling and simulation of dynamic systems has been commonly used in the context of transportation, urban planning, and land use as being the basic tool for planners and policy makers. Vehicular movement modeling is one of the most popular models that deal with relevant aspects of urban regions and communities. This paper focuses on a particular mobility system; electric vehicles (EVs) clusters. It presents a study was conducted to simulate EVs population of the inner urban core of Newcastle-Gateshead via a developed 2D simulation model. The novelty of this study is the new approach proposed to simulate EV population in particular vicinity. This is by utilizing hybrid simulation technique (agent based modeling and discrete events) while applying space syntax theory and principles to predict the travel demand pattern of the urban system. The combination of these layers of modeling within the context of electrical mobility has proven successful in portraying the population and showed promising results. It aims at providing guidelines and recommendations to locate preliminary charging points and determine their numbers and capacities, which should be of interest for researchers, planning authorities and policy makers. This paper is a part of an EU project that focuses on simulating a part of the North Sea Region e-mobility system. © 2013 American Society of Civil Engineers.

KW - agents

KW - discrete events

KW - electric vehicles

KW - simulation

KW - space syntax

U2 - 10.1061/9780784412909.091

DO - 10.1061/9780784412909.091

M3 - Chapter

SN - 9780784412909

SP - 934

EP - 945

BT - AEI 2013

PB - American Society of Civil Engineers

ER -