文献类型：期刊文献

英文题名：A simulation method to generate commute trips-for agent-based modeling on co-diffusion of alternative fuel vehicles and their filling stations

作者：Ma, Tieju[1,2];Zhu, Ya[1];Liu, Peipei[1];Chi, Chunjie[1]

机构：[1]E China Univ Sci & Technol, Sch Business, Shanghai 200237, Peoples R China;[2]Int Inst Appl Syst Anal, Vienna, Austria

年份：2014

卷号：90

期号：5

起止页码：560

外文期刊名：SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL

收录：;EI(收录号：20142017713922);WOS:【SCI-EXPANDED(收录号:WOS:000337567500006)】；

基金：This research was sponsored by National Nature Science Foundation of China (No. 70901026 and 71125002), Shanghai Science and Technology Committee, Shanghai Education Committee, and Fok Ying Tong Education Foundation (No. 131081) and the Fundamental Research Funds for the Central Universities (No. WN1223007).

语种：英文

外文关键词：Agent-based modeling; diffusion of alternative fuel vehicles; commute trip generation

摘要：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.