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Modelling preferences for smart modes and services: A case study in Lisbon

机译:对智能模式和服务的偏好进行建模:里斯本的案例研究

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In this research, we investigate the acceptability of three new and emerging smart mobility options and quantify the associated willingness-to-pay values in the context of Lisbon using a comprehensive stated preferences (SP) survey. The smart mobility options include shared taxi, one-way car rental, and a novel combination of park-and-ride and school bus facilities. While previous surveys on smart mobility options had investigated limited number of alternatives in isolation, the SP survey used in this research presents the smart mobility options alongside the existing options and their traditional variants like congestion pricing and improved public transport systems. Further, the choice of mode, departure time and occupancy are investigated in a multidimensional framework. This resulted a large choice set (with 9 modes, 5 departure times, and 2 occupancy levels leading to 135 alternatives in total) and required a novel survey design.The main survey administered over the internet and computer aided personal interviews included 2372 valid SP observations from 1248 respondents. Multi-dimensional mixed logit models were used to capture the complex correlations introduced due to the non-traditional survey design. Results indicate a significant preference of one-way car rental and shared taxi for non-commute trips. For commute trips, improved versions of traditional public transport modes are favoured over smart mobility options. These findings, as well as the novel data collection and modelling approach, are expected to provide important information to transportation planners and policy makers working to implement smart mobility options in Lisbon as well as in other cities.
机译:在这项研究中,我们调查了三个新出现的智能出行选项的可接受性,并使用全面的陈述偏好(SP)调查在里斯本范围内量化了相关的支付意愿值。智能出行选项包括共享出租车,单程汽车租赁以及公园乘车和校车设施的新颖组合。尽管先前关于智能出行选项的调查仅对有限数量的替代方案进行了调查,但本研究中使用的SP调查将智能出行选项与现有选项及其传统变体(如拥堵收费和完善的公共交通系统)一起展示。此外,在多维框架中研究了模式,出发时间和入住率的选择。这产生了一个大选择集(9种模式,5个出发时间和2个占用级别,总共导致135个替代方案),并且需要新颖的调查设计。通过互联网进行的主要调查和计算机辅助的个人访谈包括2372个有效的SP观察来自1248位受访者。多维混合logit模型用于捕获由于非传统调查设计而引入的复杂相关性。结果表明,非通勤旅行明显偏爱单向租车和共享出租车。对于通勤旅行,传统的公共交通模式的改进版本优于智能出行选项。这些发现以及新颖的数据收集和建模方法,有望为致力于在里斯本以及其他城市实施智能出行选择的交通规划人员和政策制定者提供重要信息。

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