IW: Human mobility in space

International Workshop: “Techniques of detection and analysis of human mobility in space”

Research Group on Territorial Analysis and Tourism Studies (GRATET). Rovira i Virgili University

 

Session 1: “Obtainment and treatment of GPS and/or mobile telephones tracks for the analysis of the human mobility” by Amit Birenboim (Utrecht University, NL)

The workshop will demonstrate data management and data analysis procedures of geolocation information. Topics covered will be covered will include: importing and handling GPS information, calculating basic mobility parameters, analysis and visualization of geo-tagged information, generation of aggregative time-space activity maps. Participants will be able to experiment with the geolocation information during the workshop. The software used will include ArcMap (GIS software) and MS Excel.

 

Session 2: “Obtainment and treatment of social network data (Flickr, Instagram, etc.) for the detection and analysis of human activity in the public space” by Oriol Martori (URBANing, Terrassa)

Nowadays, Internet and Information and Communications Technologies allow the interconnection between urban context and citizens or tourists. This interconnection supplies the interchange of data and information both in space and time. The huge and spontaneous data production generate by local and tourists in urban spaces, helps to understand their behavioral habits, social relationships and urban dynamics which taking place in cities. This information leads to reconsider the way of planning, design and manage the cities.

 

Session 3: “Human mobility in urban spaces: Space Syntax, Fractal Dimension, Urban Flow Lines and Isobenefit lines” by Luca D’Acci (IHS, Erasmus University Rotterdam, NL and College of Engineering and Physical Sciences, University of Birmingham, UK)

The workshop pretends to be an introduction of several concepts related to human mobility in urban space. In the workshop it will show the depthmapX software, a single platform to perform a set of spatial network analyses designed to understand social processes within the built environment. It works at a variety of scales from building through small urban to full cities or regions.