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Active mobility in an Italian city: Mode choice determinants and attitudes before and during the Covid-19 emergency

机译:在意大利城市中的积极流动性:Covid-19紧急情况前和期间的模式选择决定因素和态度

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The paper investigates the choice of the transport mode to access the city center of Trieste, Italy. We have collected revealed and stated choice data and attitudinal data in order to investigate the mode of transport used before and during the Covid-19 pandemic. We studied the main choice determinants jointly with respondents' psychological attitudes using an integrated choice/latent variable modelling framework. The model incorporates choice data, generalized cost variables, random parameters, and latent variables. The latter capture the concern for the environment, both at global and local level, the attitudes towards physical exercise and the Covid-19-related risks. The model is applied to assess the impact of extending the density of the cycling lanes on active mobility. Our estimates indicate a potential increase in cycling which, however, would not translate into an increase in active mobility, since the bike would substitute some trips currently made by foot. We also detect a high substitutability between the bike and the bus, while the motorcycle and the car are much less affected. It is confirmed that the Covid-19 pandemic altered significantly the transport mode choices, having a strong negative impact on bus and shifting bus users towards private modes, both motorized and non-motorized.
机译:本文调查了运输方式进入意大利的里雅斯特市中心。我们收集了透露和说明的选择数据和态度数据,以调查Covid-19大流行前和期间使用的运输方式。我们使用综合选择/潜在的变量建模框架与受访者的心理态度共同研究了主要选择决定因素。该模型包含选择数据,广义成本变量,随机参数和潜在变量。后者在全球和地方一级捕捉到环境的关注,对体育锻炼的态度和与Covid-19相关风险的态度。应用该模型以评估延伸循环通道密度对主动移动性的影响。我们的估计表明骑自行车的潜在增加,但是,由于自行车将替代目前徒步制造的一些旅行,因此不会转化为积极流动性的增加。我们还检测到自行车和公共汽车之间的高可替代性,而摩托车和汽车则受到不太受影响。确认Covid-19大流行显着改变了运输模式选择,对公共汽车和朝向私种模式的公共汽车和转换公共汽车用户具有强烈的负面影响,可实现电动和非机动的私人模式。

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