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Measuring the impacts of weather variability on home-based trip chaining behaviour: a focus on spatial heterogeneity

机译:衡量天气变化对家庭旅行链行为的影响:关注空间异质性

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Using the 2011 Swedish national travel survey data, this paper explores the influence of weather characteristics on individuals' home-based trip chaining complexity. A series of panel mixed ordered Probit models are estimated to examine the influence of individual/household social demographics, land use characteristics, and weather characteristics on individuals' home-based trip chaining complexity. A thermal index, the universal thermal climate index (UTCI), is used in this study instead of using directly measured weather variables in order to better approximate the effects of the thermal environment. The effects of UTCI are segmented into different seasons to account for the seasonal difference of UTCI effects. Moreover, a spatial expansion method is applied to allow the impacts of UTCI to vary across geographical locations, as individuals in different regions have different weather/climate adaptions. The effects of weather are examined in subsistence, routine, and discretionary trip chains. The results reveal that the 'ground covered with snow' condition is the most influential factor on the number of trips chained per trip chain among all other weather factors. The variation of UTCI significantly influences trip chaining complexity in autumn but not in spring and winter. The routine trip chains are found to be most elastic towards the variation of UTCI. The marginal effects of UTCI on the expected number of trips per routine trip chain have considerable spatial variations, while these spatial trends of UTCI effects are found to be not consistent over seasons.
机译:使用2011年瑞典国家旅行调查数据,本文探讨了天气特征对个人基于家庭的旅行链复杂性的影响。估计了一系列面板混合有序Probit模型,以检验个人/家庭社会人口统计学,土地使用特征和天气特征对个人基于家庭的旅行链复杂性的影响。为了更好地估算热环境的影响,本研究使用一个热指数,即通用热气候指数(UTCI),而不是使用直接测量的天气变量。 UTCI的影响可分为不同的季节,以解决UTCI的季节差异。此外,由于不同地区的个人具有不同的天气/气候适应性,因此应用了空间扩展方法以允许UTCI的影响在不同地理位置之间变化。在生计,常规和自由行旅行链中检查天气的影响。结果表明,在所有其他天气因素中,“被雪覆盖的地面”条件是对每个旅行链上链接的旅行次数影响最大的因素。 UTCI的变化在秋季会显着影响旅行链的复杂性,而在春季和冬季则不会。发现常规的跳闸链对UTCI的变化最具弹性。 UTCI对每个常规旅行链的预期旅行次数的边际影响具有相当大的空间变化,而发现UTCI影响的这些空间趋势在各个季节中并不一致。

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