A paper originating from our **EU FP7 Insight project** on extending land use transportation models to embrace better sub models of the retailing sector. Our paper entitled “Quantifying Retail Agglomeration using Diverse Spatial Data” by Duccio Piovani, Vassilis Zachariadis and myself has just been published in **Scientific Reports** – you can **download it here**. The model partitions the agglomerating effects of retailing into two scales: the typical zonal scale where consumers travel to shopping centres of different sizes and at different distances/travel times from the places where they generate their demand for such goods, and shopping centres themselves where shops of different and like sorts agglomerate, thus affecting the demand for particular retails goods within each shopping centre. The model is quite straightforward in that it has the structure of a nested logit model of discrete choice where the nests are the shopping centres within which the individual retailing facilities are located. We fit the model to data for the inner area of the Greater London region, and **you can get the results from the paper**.

# Category Archives: Scaling

# City Analytics

* City Analytics*: An invited special collection of articles for

*entitled ‘City Analytics’ compiled and edited by Desmond J. Higham, Michael Batty, Luís M. A. Bettencourt, Danica Vukadinovic Greetham and Peter Grindrod. Click here or on the image above for the papers.*

**Royal Society Open Science**The growing human urban population presents unique opportunities and challenges for a range of stakeholders. As is presented in this special collection, using a range of mathematical, computational and statistical tools, it is possible to extract and analyse data on urban environments from myriad sources of information.

In the City Analytics special collection, interdisciplinary work exploring, for instance, social media usage patterns, transport networks and urban resilience to natural disasters, such as flooding, provide researchers and policymakers with detailed insights. Click here for the editorial and the papers and for the contents which are open access.

# Cities and regions in Britain through hierarchical percolation

Our paper in **Royal Society Open Science** is published this week (April 6th 2016). This is one of the major themes in our ERC Project Mechanicity which has sought to explore how we can define and classify cities according to their size and performance using their underlying networks for the bonds that ties their parts together. There are many implications from this way of looking at things where we adopt the perspective of percolation theory for questions of globalisation, segregation, resilience and inequality. You can get the **paper here** – it is open source – and there is some detailed **Supplementary Information** that is pretty important for viewing the results.

The paper says:

“Urban systems present hierarchical structures at many different scales. These are observed as administrative regional delimitations which are the outcome of complex geographical, political and historical processes which leave almost indelible footprints on infrastructure such as the street network. In this work, we uncover a set of hierarchies in Britain at different scales using percolation theory on the street network and on its intersections which are the primary points of interaction and urban agglomeration. At the larger scales, the observed hierarchical structures can be interpreted as regional fractures of Britain, observed in various forms, from natural boundaries, such as National Parks, to regional divisions based on social class and wealth such as the well-known North– South divide. At smaller scales, cities are generated through recursive percolations on each of the emerging regional clusters. We examine the evolution of the morphology of the system as a whole, by measuring the fractal dimension of the clusters at each distance threshold in the percolation. We observe that this reaches a maximum plateau at a specific distance. The clusters defined at this distance threshold are in excellent correspondence with the boundaries of cities recovered from satellite images, and from previous methods

using population density.”

We have developed quite a few explorations of cities using these ideas and we posted a somewhat oblique comment on how these results related to different electoral voting in the General Election last May. There is **an early paper** on this that is a complement to **this one in the Arxiv.**

Last but not least, I have given various presentations on our percolation and allometric city size work but **here is a recent powerpoint** that contains more information to some extent – or at least different information that relates to our work on the UK with some hints of how we might apply it elsewhere – as in Europe for example.