TY - JOUR
T1 - Multiple roads ahead
T2 - How charging behavior can guide charging infrastructure roll-out policy
AU - van der Kam, Mart
AU - van Sark, Wilfried
AU - Alkemade, Floor
PY - 2020/8
Y1 - 2020/8
N2 - A key challenge for the roll-out of public charging infrastructure is that electric vehicles are needed to function both as a clean mode of transportation and as part of a sustainable electricity system, while being cost-effective. Translating these high-level policy goals to a coherent roll-out strategy is not trivial. We address this by analyzing local charging behavior and linking behavior indicators to specific policy measures through a decision tree. We analyze how policy measures for: (1) increasing the number of charge points, (2) reducing hogging, (3) vehicle-to-grid, (4) overnight charging, and (5) solar charging align with overall goals and characteristics of specific neighborhoods. More specifically, we analyze a dataset containing one million charging sessions in the Netherlands, and (1) link this data to neighborhood characteristics and (2) evaluate the coherency of policy mixes. Our analysis shows great spatial variation in charging behavior and consequently in the suitable policy mixes.
AB - A key challenge for the roll-out of public charging infrastructure is that electric vehicles are needed to function both as a clean mode of transportation and as part of a sustainable electricity system, while being cost-effective. Translating these high-level policy goals to a coherent roll-out strategy is not trivial. We address this by analyzing local charging behavior and linking behavior indicators to specific policy measures through a decision tree. We analyze how policy measures for: (1) increasing the number of charge points, (2) reducing hogging, (3) vehicle-to-grid, (4) overnight charging, and (5) solar charging align with overall goals and characteristics of specific neighborhoods. More specifically, we analyze a dataset containing one million charging sessions in the Netherlands, and (1) link this data to neighborhood characteristics and (2) evaluate the coherency of policy mixes. Our analysis shows great spatial variation in charging behavior and consequently in the suitable policy mixes.
KW - Charge point hogging
KW - Charging infrastructure
KW - Electric vehicle
KW - Policy mix
KW - Smart charging
KW - Vehicle-to-grid
UR - http://www.scopus.com/inward/record.url?scp=85087697752&partnerID=8YFLogxK
U2 - 10.1016/j.trd.2020.102452
DO - 10.1016/j.trd.2020.102452
M3 - Article
AN - SCOPUS:85087697752
VL - 85
JO - Transportation Research. Part D: Transport and Environment
JF - Transportation Research. Part D: Transport and Environment
SN - 1361-9209
M1 - 102452
ER -