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Infrastructures 2018, 3(3), 21; https://doi.org/10.3390/infrastructures3030021

Spatial Analysis of the Public Transport Accessibility for Modelling the Modal Split in the Context of Site Identification for Charging Infrastructure

Chair and Institute of Urban and Transport Planning, RWTH Aachen University, 52062 Aachen, Germany
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Received: 16 May 2018 / Revised: 18 June 2018 / Accepted: 29 June 2018 / Published: 4 July 2018
(This article belongs to the Special Issue Expanding Cities, Diminishing Space)
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Abstract

The spread of charging infrastructure (CIS) for battery electric vehicles is crucial for coping with the increasing number of electric vehicles. Therefore, the selection of ideal (fast-) charging locations determines acceptance, utilization and, thus, the economic viability of a single site or the whole charging network. The methodology of the Integrated Model Approach STELLA (STELLA is the acronym for the German term “STandortfindungsmodell für ELektrische LAdeinfrastruktur”) for site identification of CIS uses reliable methods of traffic modeling such as the classic four-step traffic modeling in a new context to enable statements regarding the positioning of CIS. Because only (electric) motorized individual traffic is of importance for CIS, the share of trips is calculated by differentiating the modal split between various transport groups. To estimate the public transport share in the model approach STELLA there are several factors used. One aspect is the accessibility of stops, which can be determined with accessibility radii one the one hand, and with network analyses on the other hand. The methods have been evaluated for the region of Nuremberg. Depending on the spatial characteristics there is a difference of up to 60% between the two methods in the area covered by public transport. Therefore, the network analysis leads to a more accurate estimation of the public transport share. The modal split determination is then implemented in the model approach STELLA, which is currently developed for a planning area covering the entire territory of the Federal Republic of Germany. View Full-Text
Keywords: site identification; electric charging infrastructure; electromobility; spatial analysis; modal split; public transport; accessibility site identification; electric charging infrastructure; electromobility; spatial analysis; modal split; public transport; accessibility
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Brost, W.; Funke, T.; Lembach, M. Spatial Analysis of the Public Transport Accessibility for Modelling the Modal Split in the Context of Site Identification for Charging Infrastructure. Infrastructures 2018, 3, 21.

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