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Rational choice in everyday mobility decisions of Austrian employees

机译:奥地利员工日常出行决策的理性选择

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Both, the capability of a transport system to grant access to a destination and a traveller's ability to utilize its opportunities can be distinguished in objective and subjective factors. The paper analyses the potential for objective accessibility factors to explain mobility behaviour. In more detail, the paper (i) quantifies the explanatory power of objective factors of the transport system (supply-side) for mode choice decisions and (ii) analyses if these supply-side factors, as well as objective factors of the traveller (demand-side), affects the level of multimodality among Austrian employees. Following this approach, the paper estimates mode choice models that only consist of trip features and accessibility factors. The final model reaches a high explanatory power and includes the individual transport mode availability, travel time, travel cost, public transport service quality and the car parking situation. The model allows simulation, which estimates the modal shift with respect to adaptations of the accessibility factors. Car travel time is the variable impacting mode choice decisions the most; this suggests a push-strategy when aiming to make the transport system more sustainable. Additionally, we show that both transport demand and supply factors, but most of all their combination can explain multimodal travel behaviour, i.e., whether or not a person uses more than one transport mode within one week. The explanatory value increases significantly if one also considers mobility tools. The variables explaining multimodality best are ownership of a bike and a PT season card as well as the public transport network density.
机译:运输系统准予到达目的地的能力和旅行者利用其机会的能力都可以在客观和主观因素中加以区分。本文分析了客观可及性因素解释行动行为的潜力。更详细地讲,本文(i)量化了运输系统(供应方)客观因素对模式选择决策的解释力,并且(ii)分析这些供应方因素以及旅客的客观因素(需求方),影响奥地利员工之间的多模式水平。按照这种方法,本文估计了仅由行程特征和可及性因素组成的模式选择模型。最终模型具有很高的解释力,其中包括各个运输模式的可用性,出行时间,出行成本,公共交通服务质量和停车状况。该模型允许进行仿真,该仿真针对可访问性因子的适应性估计模态偏移。行驶时间是影响模式选择的变量最多的变量;这表明,在旨在使交通运输系统更具可持续性时,应该采用一种推动策略。此外,我们显示出运输需求和供给因素,但它们的大多数结合可以解释多式联运的行为,即一个人一周内是否使用一种以上的运输方式。如果还考虑移动性工具,则说明性价值会大大增加。最好的解释多式联运的变量是自行车和PT季卡的所有权以及公共交通网络的密度。

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