The latest outputs from researchers, alumni and friends at the UCL Centre for Advanced Spatial Analysis (CASA).
Many interesting approaches were presented at Strathclyde Complex Transport Networks meeting this week, ranging from slime mould networks to more conventional transportation geometries. Our paper using London Oyster Card data can be downloaded from presentations on this site or by … Continue reading →
Continue reading »Use the Player Bar above for Audio. A Webinar to the Urban Systems Collaborative organized by the IBM Smart Cities Group in Armonk, NY focusing on CASA’s work on tracking, measuring, modeling and visualizing city systems. For a glance at the Slides, … Continue reading →
Continue reading »The focus is shifting to real time analysis of city systems with many links between urban mobility, energy and ICT. Trantopoulos, Schlapfer and Helbing suggest that the nervous system of a city be explored using ‘Techno-Social Reality Mining’. References to … Continue reading →
Continue reading »The TfL Oyster Card Tube and Train flow volumes over 24 hrs at 666 (don’t worry about the number) hubs reveal classic diurnal peaks but the profiles are far from power laws. If anything, they are lognormal. Watch the Vimeo Clip. … Continue reading →
Continue reading »Inspired by Victor Gruen’s heart of the city posted here a little while ago, Jon Reade’s 24 hour movie of traffic on London’s railways (tube+overground) moves us a little closer to Leonardo’s analogy of the city as body. More biology perhaps … Continue reading →
Continue reading »A science of cities is rooted in networks that deliver energy and information to the components that make up a functioning urban system. This one page guide takes you to the key sites, people, books, papers, data and software associated … Continue reading →
As cities get bigger, their capacity to innovate (hence their wealth) appears to scale super-linearly (with their size). But the idea that ‘big cities’ have ‘big brains’ and are smarter, is problematic as is their scaling and allometry. Read Changizi … Continue reading →
Constructing flows from where people are located at different points in time is usually hard and often impossible for large populations. You can only do it for individuals if you know the actual locations and order visited: posted on vimeo, … Continue reading →
As many of you know, for quite some time I’ve been wrestling with a massive data set from TfL — I make it that I have 120 million trip segments across 88 million identifiable journeys in the course of just …
Continue reading »In fits and starts, over the past month I’ve been getting to grips with an exciting new Oyster Card data set from TfL and the wonderfully supportive Andrew Gaitskell, their resident Oyster Card data expert. For those few of you …
Continue reading »With the increasingly widespread availability of transport data, we can now visualise and explore new dynamic geographies of urban transport flows and networks. In this post, I show detailed animations of UK multi-modal public transport networks using timetable data. This …
Continue reading »2th – 5th September 2011 – Harokopio University of Athens, Greece
Special sessions:
A. Quantitative methods in health geography
B. Networking the World: Concepts, methods, data
Deadline for abstracts – March 30th 2011
More details can be fo…