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Exploratory Dynamic Models of Alternative Fuel Vehicle Adoption.

机译:替代燃料汽车采用的探索性动力学模型。

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摘要

Identifying socioeconomic characteristics and vehicle characteristics, including a market share of a specific vehicle, influencing on a choice of a vehicle is important for forecasting demands for alternative fuel vehicles (AFVs). Over the time, how changes in these characteristics will affect on the demands is also important. And by connecting with supply, how changes in demands for AFVs will make an effect on the supplies becomes important. This paper forecasts market shares of AFVs in demands and supplies.;First, in a demand part, a dataset of National Household Travel Survey in 2009 is used to identify factors which influence on a choice of AFVs by logit models. And then by using coefficients from the logit models, a dynamic normative model is proposed to forecast demands for Toyota Prius, a sort of hybrid vehicles, with respect to changes in characteristics such as a gas price and a vehicle price. Because a dynamic normative model is a simulation model with unknown values of parameters, these values are randomly defined to track the changes in market shares of Prius based on an annual vehicle market share data.;Next, in a supply part, proportions of hydrogen fuel cell vehicles (HFCVs) with respect to the density of hydrogen refueling stations are estimated by logit models. And then by using these results, a competition model is proposed to forecast supplies for HFCVs. Forecasting supplies for HFCVs is based on demands which is forecasted from a dynamic normative model.;Last, it is found that supplies of HFCVs from the competition model exceed affordable numbers of themselves for the market, because the demands for HFCVs from a dynamic normative model don't consider affordable numbers of HFCVs for the market. Therefore, to connect results from two models, feedback methods are used.;The results indicate that the market share of AFVs will exceed that of ICEs when: 1) a gasoline price is increased, 2) a vehicle price of AFVs is decreased, 3) the initial market share of AFVs is large, and 4) the density of refueling stations is increased.
机译:确定社会经济特征和车辆特征,包括特定车辆的市场份额,影响车辆的选择,对于预测对替代燃料汽车(AFV)的需求至关重要。随着时间的流逝,这些特性的变化将如何影响需求也很重要。通过与供应联系,对AFV需求的变化将如何影响供应变得重要。本文预测了AFV在需求和供应中的市场份额。首先,在需求部分,使用2009年全国家庭旅行调查数据集通过logit模型确定影响AFV选择的因素。然后,通过使用logit模型的系数,提出了动态规范模型来预测对混合动力汽车Toyota Prius的需求变化,例如汽油价格和汽车价格等特征的变化。因为动态规范模型是具有未知参数值的模拟模型,所以将根据年度车辆市场份额数据随机定义这些值以跟踪Prius的市场份额变化。其次,在供应部分中,氢燃料的比例通过logit模型估算与氢燃料加注站的密度相关的电池车(HFCV)。然后,利用这些结果,提出了一种竞争模型来预测HFCV的供应。预测HFCV的供应量是根据动态规范模型预测的需求进行的;最后,发现竞争模型中的HFCV的供应量超过了市场自身的价格,因为动态规范模型对HFCV的需求不要考虑市场上负担得起的HFCV数量。因此,为了将两个模型的结果联系起来,使用了反馈方法。结果表明,在以下情况下,AFV的市场份额将超过ICE:1)汽油价格上涨; 2)AFV的车辆价格下降; 3 )AFV的最初市场份额很大,并且4)加油站的密度增加了。

著录项

  • 作者

    Kim, Jae Hun.;

  • 作者单位

    University of California, Irvine.;

  • 授予单位 University of California, Irvine.;
  • 学科 Engineering Civil.;Transportation.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 164 p.
  • 总页数 164
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:51:48

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