TY - JOUR
T1 - Integrated modelling of autonomous electric vehicle diffusion
T2 - From review to conceptual design
AU - Zhuge, Chengxiang
AU - Wang, Chunyan
N1 - Funding Information:
This work was supported by the Hong Kong Polytechnic University [1-BE2J], and the National Natural Science Foundation of China (52002345; 42001396).
Publisher Copyright:
© 2020 Elsevier Ltd
PY - 2021/2
Y1 - 2021/2
N2 - The future Autonomous Vehicles (AVs) are likely to be electric. We started with a review of the adoption of AVs, Electric Vehicles (EVs) and Autonomous Electric Vehicles (AEVs), as well as the six associated urban sub-systems, namely transportation, land use, environment, energy, economy, and population systems, in order to find evidence about the linkages and interactions between the diffusion of AEVs and the six sub-systems. Based on the review, we argued that an integrated urban model, which takes the linkages and interactions into account, was needed to fully understand the adoption and impacts of AEVs. Furthermore, we conducted a conceptual design of an integrated model for AEVs (without explicit modelling), and demonstrated how to update an existing agent-based Land Use and Transport Interaction (LUTI) model by incorporating AEV components. The resulting integrated model of AEVs would help different AEV-related stakeholders (e.g., local authorities) in their decision-making.
AB - The future Autonomous Vehicles (AVs) are likely to be electric. We started with a review of the adoption of AVs, Electric Vehicles (EVs) and Autonomous Electric Vehicles (AEVs), as well as the six associated urban sub-systems, namely transportation, land use, environment, energy, economy, and population systems, in order to find evidence about the linkages and interactions between the diffusion of AEVs and the six sub-systems. Based on the review, we argued that an integrated urban model, which takes the linkages and interactions into account, was needed to fully understand the adoption and impacts of AEVs. Furthermore, we conducted a conceptual design of an integrated model for AEVs (without explicit modelling), and demonstrated how to update an existing agent-based Land Use and Transport Interaction (LUTI) model by incorporating AEV components. The resulting integrated model of AEVs would help different AEV-related stakeholders (e.g., local authorities) in their decision-making.
KW - Agent-based modelling
KW - Autonomous vehicle
KW - Electric vehicle
KW - Impact assessment
KW - Innovation diffusion
KW - Integrated modelling
UR - http://www.scopus.com/inward/record.url?scp=85099023385&partnerID=8YFLogxK
U2 - 10.1016/j.trd.2020.102679
DO - 10.1016/j.trd.2020.102679
M3 - Journal article
AN - SCOPUS:85099023385
SN - 1361-9209
VL - 91
JO - Transportation Research Part D: Transport and Environment
JF - Transportation Research Part D: Transport and Environment
M1 - 102679
ER -
