[CS Seminar] Spatial data science for just and sustainable cities - Dr Rafael Pereira - IPEA скачать в хорошем качестве

[CS Seminar] Spatial data science for just and sustainable cities - Dr Rafael Pereira - IPEA

Title: Spatial data science for just and sustainable cities Abstract: In this presentation, I will start giving an overview of the ongoing quiet revolution in public transport research and planning. This revolution, enabled by the creation of the GTFS data standard, is supporting the rapid development of several open-source tools shared globally. I will focus the rest of my talk on the spatial data science tools and methods developed by my research group to inform transportation research and planning concerned with equity issues, urban accessibility, and environmental emissions. I will give particular attention to two projects related to: (1) recent developments of powerful multimodal routing models and their contribution to the analysis of socioeconomic and spatial inequalities in access to opportunities; and (2) a new scalable computational model to estimate public transport emissions at high spatial and temporal resolutions. At the end, I will discuss some of the advantages and limitations of these tools and models, indicating new research avenues. Bio: Rafael H. M. Pereira is a transport geographer whose research looks broadly at how urban and transport policies shape the spatial organization of cities, human mobility patterns as well as their impacts on social and health inequalities. His work currently focuses on developing spatial data science tools and methods to examine the equity impacts of urban and transport planning policies on access to opportunities and environmental emissions. Rafael obtained his PhD from the Transport Studies Unit at Oxford University. His work received in 2019 the best PhD thesis award in transportation from the AAG and the young researcher of the year award from the OECD's International Transport Forum.