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Investigating observed and unobserved variation in the probability of 'not travel' as a behavioural response to restrictive policies

机译:调查“不旅行”作为对限制性政策的行为反应的观察到和未观察到的变化

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Besides technological improvements, restrictive car policies are likely to be the most effective measures for reducing greenhouse gas emissions from local passenger transport. Restrictive policies may lead some individuals to choose to not travel to otherwise useful or enjoyable activities. This paper therefore explores what factors drive the probability of 'not travel' as a behavioural response to restrictive policies.Using stated choice data among car owners in the 10 largest cities in Norway, we investigate observed and unobserved taste variation for 'not travel' given different (hypothetical) policies. The empirical evidence suggests that the likelihood of 'not travel' (a) is lower for work-related trips; (b) is higher where respondents state they have no decent alternatives; (c) increases with trip distance; and (d) increases with the intensity of the policy. We perform Monte-Carlo simulations illustrating different predicted choice behaviour for car users and public transport users under different types of stylized policies (travel time changes versus travel cost changes).
机译:除了技术进步外,限制性汽车政策可能是减少本地客运温室气体排放的最有效措施。限制性政策可能会导致某些人选择不去参加其他有用或令人愉快的活动。因此,本文探讨了哪些因素会导致``不出行''的可能性成为对限制性政策的行为反应。使用挪威10个最大城市的车主之间的既定选择数据,我们调查了给定的``不出行''的观察到和未观察到的口味变化不同的(假设的)政策。经验证据表明,与工作相关的旅行“不旅行”的可能性较低。 (b)在受访者表示他们没有其他适当选择的地方更高; (c)随着行进距离的增加而增加; (d)随着政策强度的增加而增加。我们执行蒙特卡洛模拟,说明在不同类型的风格化政策(旅行时间变化与旅行成本变化)下汽车用户和公共交通用户的不同预测选择行为。

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