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.
2017 International Conference on GeoComputation: Celebrating 21 Years of GeoComputation 4-7 September at the University of Leeds
Stan Openshaw and his colleagues set up the first meeting 21 years ago in Leeds and it returns there for its coming of age. Some good papers will be presented but we have published some commentaries in Environment and Planning B: Urban Analytics and City Science on the state of the art in GeoComputataion, and you can get these by logging on here. All freely downloadable. Read the words of wisdom and incisive critique and commentary on GeoComputation from
Editorial: GeoComputation: Michael Batty
Commentaries: More bark than bytes? Reflections on 21+ years of GeoComputation: Richard Harris, David O’Sullivan, Mark Gahegan, Martin Charlton, Lex Comber, Paul Longley, Chris Brunsdon, Nick Malleson, Alison Heppenstall, Alex Singleton, Daniel Arribas-Bel and Andy Evans
Questioning what bigness means in terms of Big Data and the City is a key quest in understanding what the massive increase in data volumes means to understanding the urban challenges that lie ahead and our future planning of the city to alleviate the many problems that currently beset them. Kitchin, Lauriault, and McArdle’s book Data and the City is “…the first edited collection to provide an interdisciplinary analysis of how this new era of urban big data is reshaping how we come to know and govern cities, and the implications of such a transformation. This book looks at the creation of real-time cities and data-driven urbanism and considers the relationships at play. By taking a philosophical, political, practical and technical approach to urban data, the authors analyse the ways in which data is produced and framed within socio-technical systems. They then examine the constellation of existing and emerging urban data technologies. The volume concludes by considering the social and political ramifications of data-driven urbanism, questioning whom it serves and for what ends” (from the Routledge web site).
I have a paper in the book about big data: Batty, M. (2017) Data About Cities: Redefining Big, Recasting Small, in Kitchin, R., Lauriault, T. P., and MaArdle, G. (Editors) Data and the City, Routledge, London, 31-43, that you can download here in its original form.