Modeling Electric Vehicle Charging Demand using Discrete Choice Models

Guus Berkelmans; Wouter Berkelmans; Nanda  Piersma; Rob van der Mei; Elenna Dugundji

Modeling Electric Vehicle Charging Demand using Discrete Choice Models

Guus Berkelmans, Wouter Berkelmans, Nanda Piersma, Rob van der Mei, Elenna Dugundji

Research output: Working paper/preprint › Working paper › Academic

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Abstract

In the past 5 years Electric Car use has grown rapidly, almost doubling each year. To provide adequate charging infrastructure it is necessary to model the demand. In this paper we model the distribution of charging demand in the city of Amsterdam using a Cross-Nested Logit Model and sociodemographic statistics of neighborhoods.

Original language	English
Number of pages	7
Publication status	Published - 2017

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title = "Modeling Electric Vehicle Charging Demand using Discrete Choice Models",

abstract = "In the past 5 years Electric Car use has grown rapidly, almost doubling each year. To provide adequate charging infrastructure it is necessary to model the demand. In this paper we model the distribution of charging demand in the city of Amsterdam using a Cross-Nested Logit Model and sociodemographic statistics of neighborhoods.",

keywords = "Urban Analytics, Energy, Big Data",

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AU - van der Mei, Rob

AU - Dugundji, Elenna

PY - 2017

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AB - In the past 5 years Electric Car use has grown rapidly, almost doubling each year. To provide adequate charging infrastructure it is necessary to model the demand. In this paper we model the distribution of charging demand in the city of Amsterdam using a Cross-Nested Logit Model and sociodemographic statistics of neighborhoods.

KW - Urban Analytics

KW - Energy

KW - Big Data

M3 - Working paper

BT - Modeling Electric Vehicle Charging Demand using Discrete Choice Models

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Modeling Electric Vehicle Charging Demand using Discrete Choice Models

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