Transport networks and road safety by Andrea Gilardi
This presentation was delivered as part of the Institute for Transport Studies (ITS) research seminar series: https://environment.leeds.ac.uk/events/6/transport. Abstract:This seminar will report on methodological work that explores multiple ways to represent and manipulate network data. A key problem posed by spatial networks is that they have an inherent duality: they are simultaneously graph entities (like the famous Königsberg Bridge problem) and spatial entities. In other words, they are spatial networks. Both representations are important in multiple branches of transport, including traffic, air pollution, mode shift, and road safety modelling. This talk will show several pitfalls in common spatial representations of network data, demonstrate various ways of representing transport networks using recently developed open source software, some of which we have developed, and reports preliminary findings: by breaking up networks into segments of similar sizes, we can better model crash hotspots to inform road safety and sustainable transport policies. Bio: Andrea is a 3rd year PhD student in the department of Statistics at the University of Milan. He will be visiting ITS, Leeds in October and November 2019 to collaborate with Robin Lovelace on new representations of spatial networks. The aim is to review existing packages for spatial network analysis in R (including dodgr, sfnetworks and stplanr), improve support for spatial networks in the ITS-developed R package stplanr, and apply the methods to road safety research in Italy, based on a national dataset of crashes that Andrea is using for his PhD. More info at https://twitter.com/a_gilardi5 and (for code) https://github.com/agila5.
Andrea Gilardi, Visiting Research Student, University of Milan.
11/7/2019 11:53:24 AM
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