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首页> 外文会议>Annual meeting of the transportation research board;Transportation Research Board >Investigating the impacts of weather variability on individual’s daily activity-travel patterns: a comparison between commuters and non-commuters in Sweden
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Investigating the impacts of weather variability on individual’s daily activity-travel patterns: a comparison between commuters and non-commuters in Sweden

机译：调查天气多变性对个人日常活动-出行方式的影响：瑞典通勤者与非通勤者之间的比较

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Using thirteen years span datasets from the Swedish National Travel Survey and the Swedish Meteorological and Hydrological Institute, this study aims to analyse the impacts of the weather characteristics’ variability on individual activity-travel parameters. In doing so, this study uses alternative representation of weather instead of absolute perspective and employs a holistic model structure which takes into account the interrelation, direct and indirect interactions, among various travel behaviour parameters, given the variability of weather conditions. Structural equation models (SEM) are applied for this purpose. The models for commuters and non-commuters are constructed separately. Further, the results from SEM are then compared with the separated regressions for each endogenous variable using Tobit and negative binomial models. The analysis results show that the effects of weather can be even more extreme when considering indirect effects from other travel behaviour indicators that we are interested in. The commuters are much less sensitive to weather change than the non-commuters. The monthly variation of temperature plays a more important role in changing individual travel behaviour, whilst in the short term people are more sensitive to the daily variation of relative humidity and wind speed. Poor visibility and heavy rain strongly discourage the intention of travel, leading to the reduction of the non-work activity duration, the travel time and the number of trips on the given day.
机译：使用来自瑞典国家旅行调查和瑞典人的13年跨度数据集 气象水文研究所，这项研究旨在分析 天气特征对各个活动旅行参数的变化。这样， 研究使用天气的替代表示方式，而不是绝对角度，并采用了 考虑直接和间接相互关系的整体模型结构 考虑到天气的变化性，各种旅行行为参数之间的相互作用 情况。为此，应用了结构方程模型（SEM）。的型号 通勤者和非通勤者分别构成。此外，SEM的结果是 然后与使用Tobit和 负二项式模型。分析结果表明，天气的影响可能是均匀的。 考虑其他旅行行为指标的间接影响时，这种情况更为极端 我们感兴趣的是。通勤者对天气变化的敏感度要比对通勤者的敏感度低得多。 非通勤者。温度的每月变化在 改变个人旅行行为，而在短期内人们对旅行更加敏感 相对湿度和风速的每日变化。能见度差和大雨 阻止出差的意图，从而减少了非工作时间， 特定日期的旅行时间和旅行次数。

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