Modal Shares and Vehicle Kilometres Travelled with Shared Automated Vehicles: MATLAB Codes

This folder contains supporting software for the paper 'Are Shared Automated Vehicles Good for Public- or Private-Transport-Oriented Cities (or Neither)?'It contains the MATLAB codes used to generate graphs in the paper, as well as the resulting graphs. <br>The graphs illustrate how modal shares and total vehicle kilometres in a city change after the introduction of shared automated vehicles (SAVs) and how that change depends on the following parameters:* The sharing preferences (or: the importance of private travel) in the population. These preferences determine the private- or public-transport orientation of a city (see paper for explanation);* The SAV capacity;* The extent to which on-board experience in a SAV resembles that of a private trip. This extent is contained in a parameter called 'relative private travel benefit' taking values between 0 (no private travel benefit in an SAV) and 1 (trip in an SAV is comparable to a trip in a private car).

本文件夹包含论文《共享自动驾驶车辆适配公共交通导向还是私家车导向城市（抑或两者皆非）？》的配套软件，其中涵盖用于生成论文配图的MATLAB代码，以及已生成的全部图表。这些图表展示了引入共享自动驾驶车辆（Shared Automated Vehicles，SAVs）后，城市出行方式分担率与总车辆行驶里程的变化情况，且该变化取决于以下三类参数：
其一为人群的共享出行偏好（或称私家出行的重要性），此类偏好决定了城市的公共交通/私家车交通导向，具体阐释详见论文；
其二为共享自动驾驶车辆的载客容量；
其三为共享自动驾驶车辆的车内体验与私家出行的相似程度，该属性由名为“相对私家出行收益”的参数表征，取值区间为0（共享自动驾驶车辆无任何私家出行收益）至1（共享自动驾驶车辆出行体验与私家车完全相当）。