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Analysis of consumer response to fuel price fluctuations applying sample selection model to GPS panel data: Dynamics in individuals' car use

机译:将样本选择模型应用于GPS面板数据,分析消费者对燃油价格波动的反应:个人汽车使用的动态

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The effects of fuel price increases on people's car use have been widely discussed during the last few decades in travel behavior research. It is well recognized that fuel price has significant effects on driving distance and driving efficiency. However, most of this research assumed that these effects are invariant across individuals and weather conditions. Moreover, intrinsic variability in people's preferences has not been given much attention due to the difficulty of collecting the necessary data. In this paper, we collected detailed travel behavior data of 276 respondents in the Netherlands, spanning a time period between one week and three months using GPS logs. These GPS data were fused with weather data, allowing us to estimate both exogenous (such as weather and fuel price) and endogenous effects (inertia and activity plans) on individual's car use behavior. To further understand the effects of fuel price on the environment, we estimated the effects of fuel price fluctuation on CO2 emissions by car. The results show a significant degree of inertia in car use behavior in response to increased fuel prices. Weather and fuel price showed significant effects on individual's car using behavior. Moreover, fuel price shows two-week lagged effects on individual's travel duration by car. (C) 2015 Elsevier Ltd. All rights reserved.
机译:在过去的几十年中,人们对出行行为的研究广泛讨论了燃油价格上涨对人们使用汽车的影响。众所周知,燃油价格对行驶距离和行驶效率有重大影响。但是,大多数研究假设这些影响在个体和天气条件之间是不变的。而且,由于难以收集必要的数据,人们的偏好的内在变异性并未得到足够的重视。在本文中,我们使用GPS日志收集了荷兰276名受访者的详细旅行行为数据,涵盖了一周到三个月的时间。这些GPS数据与天气数据融合在一起,使我们能够估计个人汽车使用行为的外源性(例如天气和燃料价格)和内源性影响(惯性和活动计划)。为了进一步了解燃油价格对环境的影响,我们估算了燃油价格波动对汽车二氧化碳排放的影响。结果表明,随着燃油价格的上涨,汽车使用行为的惯性程度显着提高。天气和燃油价格对个人汽车的使用行为产生了重大影响。此外,燃油价格对个人乘车旅行时间显示了两周的滞后影响。 (C)2015 Elsevier Ltd.保留所有权利。

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