Abstract The aim of this study was to analyse the associations between individual socioeconomic and health-related characteristics, travel distance, and the choice of different travel modes in urban population. A cross-sectional study included 932 adults of Kaunas city, Lithuania. The choice of the travel mode and individual characteristics were self-reported by the participants, and their travel routes were calculated using the geographic information system. Multivariate logistic regression was used to assess the most significant factors determining the choice of a car, cycling, walking, or public transport. In total, 529 participants reported using a car, of whom 65.8% had medium or high education levels. These participants were more likely to be younger, male, married, and employed. Among bicycle users, statistically significant differences between the employment status, body mass index, and travel distance were observed. Walkers were significantly more likely to be older, those with lower incomes, unemployed, and travelling the shortest distances. The analysis of the travel distance on the choice of the travel mode revealed that men travelled longer distances with a car compared to women. The employment status was significantly associated with travel distance by car or public transport. Employed individuals travelled longer distances by public transport or by car, compared to unemployed individuals. Among bicycle users, we found that people with higher levels of education and overweight individuals cycled the longest distances. Our study emphasizes the importance of considering different individual characteristics when analysing the choice of transport modes. It provides evidence that is relevant for all urban populations on the choice of the transport mode, particularly considering active versus passive transport.

中文翻译：

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出行距离、个人社会经济和健康相关特征以及出行方式选择之间的依赖性：立陶宛考纳斯的横断面研究

摘要 本研究的目的是分析个体社会经济和健康相关特征、出行距离以及城市人口不同出行方式选择之间的关联。一项横断面研究包括立陶宛考纳斯市的 932 名成年人。出行方式的选择和个体特征由参与者自行报告，并利用地理信息系统计算出行路线。多变量逻辑回归用于评估决定选择汽车、骑自行车、步行或公共交通工具的最重要因素。总共有 529 名参与者报告使用汽车，其中 65.8% 具有中等或高等教育水平。这些参与者更有可能是年轻人、男性、已婚和有工作的人。在自行车用户中，观察到就业状况、体重指数和旅行距离之间存在统计学上的显着差异。步行者明显更有可能年龄较大、收入较低、失业和旅行距离最短的人。对出行方式选择的出行距离分析表明，与女性相比，男性驾车出行的距离更长。就业状况与汽车或公共交通工具的旅行距离显着相关。与失业者相比，就业者乘坐公共交通工具或汽车的距离更长。在骑自行车的人中，我们发现受教育程度较高的人和超重的人骑自行车的距离最长。我们的研究强调了在分析交通方式选择时考虑不同个体特征的重要性。它提供了与所有城市人口选择交通方式相关的证据，特别是考虑到主动与被动交通。