A simulation method to generate commute trips-for agent-based modeling on co-diffusion of alternative fuel vehicles and their filling stations
Authored by Tieju Ma, Ya Zhu, Peipei Liu, Chunjie Chi
Date Published: 2014-05
DOI: 10.1177/0037549714530780
Sponsors:
Chinese National Natural Science Foundation
Fundamental Research Funds for the Central Universities of China
Shanghai Science and Technology Committee
Shanghai Education Committee
Fok Ying Tong Education Foundation
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Abstract
Existing agent-based models of co-diffusion of alternative fuel vehicles and their corresponding filling stations are very stylized. In addition, there is a lack of methodologies for linking such models with a real social and economic background. Aiming at solving this problem, this paper puts forward a method that uses widely available social, economic, and spatial data to generate driver agents' commute trips, which play an important role in such models. We tested the method with the data of Shanghai and Beijing, two of the largest cities in China, and found the commute times resulting from the method were in accordance with survey results, which validates the potential usefulness of the method.
Tags
Agent-based modeling
commute trip generation
diffusion of alternative fuel vehicles