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Households transport-home energy conservation strategies in response to energy price policies: A stated adaptation experiment based on portfolio choices and cross effects designs

机译:响应能源价格政策的家庭运输回家的节能策略:基于投资组合选择和交叉效应设计的既定适应实验

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This article explores consumer investment choice in long-term energy conservation technology and assesses trade-offs in energy saving behaviour between the housing and transportation domains. The long-term energy conservation choice problem is conceptualized as a portfolio choice problem. Consequently, to measure trade-offs between investments in housing and transport options, a cross effects choice design is developed in which respondents were shown one or more alternate ways to reduce their current energy consumption: (1) investing in new technology in the house, such as solar panels; (2) exchanging the current car for a more energy efficient car; (3) buying a new energy-efficient car, such as EV or solar car; (4) moving house to reduce current travel distances. To help respondents linking these options to their current energy consumption, a new Web-based survey system (SINA) to implement and administer stated adaptation experiments was developed. The system was used to collect two sets of data. First, data about out-of-home and in-home energy consumption, together with detailed time use data, was collected. Second, using a cross effects design, respondents were asked to select a portfolio of energy-saving strategies in response to different energy pricing policy scenarios. Results reported in this paper are based on 572 respondents who completed the survey and responded to seven adaptation questions based on their current energy expenditures. A random parameters logit model is estimated to predict the probability of choosing a particular portfolio of energy-saving options. Estimation results indicate that individuals from different socio-demographic groups exhibit varied preferences. The saving option characteristics, especially cost related characteristics have significant effects on individuals' preferences. Moreover, the results also showed significant effects of choice set composition on energy saving options. Further, the energy pricing policies had showed mixed effects on individual's preferences.
机译:本文探讨了长期节能技术中的消费者投资选择,并评估了房屋和交通领域在节能行为方面的取舍。长期节能选择问题被概念化为投资组合选择问题。因此,为了衡量住房投资和交通选择之间的权衡,开发了一种交叉效应选择设计,其中向受访者展示了一种或多种减少其当前能源消耗的替代方法:(1)投资于房屋的新技术,如太阳能电池板; (2)将目前的汽车换成更节能的汽车; (3)购买新的节能汽车,如电动汽车或太阳能汽车; (4)搬家以减少目前的行进距离。为了帮助受访者将这些选项与他们当前的能源消耗联系起来,开发了一种新的基于Web的调查系统(SINA),用于实施和管理所述适应性实验。该系统用于收集两组数据。首先,收集有关家庭外和家庭能耗的数据以及详细的时间使用数据。其次,使用交叉效应设计,要求受访者根据不同的能源定价政策方案选择一系列节能策略。本文报告的结果基于完成调查的572位受访者,并根据其当前的能源支出回答了七个适应性问题。估计随机参数对数模型可预测选择特定节能选项组合的可能性。估计结果表明,来自不同社会人口群体的个人表现出不同的偏好。储蓄期权的特征,特别是与成本有关的特征,对个人的偏好有重大影响。此外,结果还显示选择集组成对节能选择的显着影响。此外,能源定价政策对个人的偏好表现出不同的影响。

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