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.

本文研究了前往意大利的里雅斯特市中心的交通方式的选择。为了调查Covid-19大流行之前和期间所使用的运输方式，我们已经收集了披露的陈述性选择数据和态度数据。我们使用综合的选择/潜在变量建模框架研究了主要选择决定因素和受访者的心理态度。该模型包含选择数据，广义成本变量，随机参数和潜在变量。后者引起了人们对全球和地方环境的关注，对体育锻炼的态度以及与Covid-19相关的风险。该模型用于评估扩展自行车道密度对主动出行的影响。我们的估算表明自行车运动可能会增加，但是，不会转化为主动出行的增加，因为自行车将替代目前的一些步行旅行。我们还发现自行车和公共汽车之间的可替代性很高，而摩托车和汽车受到的影响要小得多。可以肯定的是，Covid-19大流行极大地改变了交通方式的选择，对公交车产生了很大的负面影响，并使公交车用户转向了私人模式，无论是电动还是非电动。