Big Data and the Oyster Project

BigDataOyster

For the online course TechniCity, I have made a little video of Big Data and our Oyster Card project using data from the subway system courtesy of Transport for London, and courtesy of our researcher Dr. Jon Reades. The video above shows you what we are doing and I leave it for you to play it and decide whether you think this kind of data is helpful to understanding and planning cities. My colleague Oliver O’Brien also posted a video today on the ebb and flow of subway traffic using the same source of data and if you want to look at a more professional film of this, then have a look at the one made by UCL Engineering. I also refer to CASA’s Citydashboard in the above video and you can see this by clicking here.

Posted in Big Data, Connectivity, Flows, Information, Networks, Smart Cities | Leave a comment

Complexity Lectures Begin

SantaFe

Returned from my travels only to be confronted with yet another lecture course which you can get from this blog, but the innovation is that I am backing up the course with the wonderful Santa Fe lectures on complexity led by Melanie Mitchell. Santa Fe have just begun these lectures: you can register for free, and watch a succession of videos about many aspects of this new science. Netlogo is used as the platform for simple modelling. For those who follow my own course, then I am blending these into various adaptations of my Spatial Complexity Lectures given at ASU about 18 months ago and which are on this blog with some newer material on cellular automata and agent based models that I have not organised in a lecture series before. Watch the blog for progress on how all this fits together, whatever.

Posted in Agent-Based Models, Cellular Automata, Complexity, Emergence, Entropy, Fractals, Hierarchy, Interactions, power laws, rank size, Scaling | Leave a comment

Geodesign

geod

Presenting this morning at ESRI Geodesign Summit with the title Simulating Geodesign: Agents as Designers, Agents as Buildings. Click on the pdf to get a sense of what this is about. Most geodesign is the application of spatial analytics and map analysis within a rational planning process to problems of collective design but my own paper is more about how we should formally explore the actual process of designing. In fact more like the process of decision-making. I propose a model of collective action that leads to consensus under rationality but of course could lead to various kinds of decision or non-decision. Essentially the model is one which enables stakeholders with an interest in the problem which they express in the form of suitability maps for some purpose, to swap and pool their ‘maps’ – opinions and reach a consensus through successive averaging. The neat thing is that the problem is posed as one of averaging elements or locations or sties in each may by different stakeholder agents and this let us examine what happens is the sites are averaged as well as the opinions of the agents. Thus the problem can be regarded as having a primal form where stakeholders average and dual form where sites – locations – are averaged. I show the method using a toy example for change of use amongst 6 stakeholders and 8 sites in the heart of the City of London.

This is a proof of concept. I will work o it in the next few months and bash our a more technical paper and am about to write a short note on it following the geodesign meeting for ArcNews which I will post when it is done. Actually an interesting meeting here in general and I am impressed by the flexibility that ESRI are introducing into their suite of GIS products which now incorporate tools for geodesign.

 

 

Posted in Agent-Based Models, Connectivity, Emergence, Geodesign, Networks | Leave a comment