Relative Reachability Analysis as a Tool for Urban Mobility Planning: Position Paper

Theodoros Chondrogiannis, M. Nascimento, Panagiotis Bouros
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引用次数: 2

Abstract

There is a plethora of user-oriented route planning applications and systems that enable the computation of the fastest journey between two locations using different transportation modes, e.g., car, public transport, walking, bicycle. While useful for individuals, they are of limited interest to a class of users that may be interested in a more global and comparative view of transportation systems in general. In this context, we adopt the view of an urban planner. Urban planners may be interested in queries such as "if a new transit stop was to be introduced in a given location, would that bring the travel time to a given point-of-interest (POI) or area-of-interest (AOI) by bus closer to the travel time by car, therefore improving air quality and/or overall traffic congestion?" To answer queries such as this one, as well as many other interesting ones, we propose the concept of relative reachability which aims at measuring how efficient a given transportation mode is (or may be) in comparison to other competing modes. We discuss the challenges associated with the computation of relative reachability of POIs (or AOIs) within a city, which reveal directions for interesting research in spatial data management towards better informed urban mobility planning processes.
相对可达性分析作为城市交通规划的工具:立场文件
有大量以用户为导向的路线规划应用程序和系统,可以计算使用不同交通方式(如汽车、公共交通、步行、自行车)在两个地点之间的最快行程。虽然对个人有用,但对一类用户的兴趣有限,这些用户可能对一般运输系统的更全面和比较的观点感兴趣。在此背景下,我们采用城市规划师的观点。城市规划者可能会对这样的问题感兴趣:“如果在给定的位置引入一个新的公交站点,那么乘坐公共汽车到达给定的兴趣点(POI)或兴趣区(AOI)的旅行时间是否会更接近汽车的旅行时间,从而改善空气质量和/或整体交通拥堵?”为了回答诸如此类的问题,以及许多其他有趣的问题,我们提出了相对可达性的概念,旨在衡量与其他竞争模式相比,给定的运输模式(或可能)的效率。我们讨论了与城市中poi(或aoi)的相对可达性计算相关的挑战,这揭示了空间数据管理的有趣研究方向,以更好地了解城市交通规划过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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