Abstract: Agglomeration economies are a persistent subject of debate in regional science and city planning. Their definition turns on whether or not larger cities are more efficient than smaller ones. Here, we complement existing discussions on agglomeration economies by providing a sensitivity analysis of estimated externalities to the definitions of urban agglomeration. We regress wages versus population and jobs over thousands of different definitions of cities in France, based on an algorithmic aggregation of spatial units. We also search for evidence of larger inequalities in larger cities. This paper therefore focuses on the spatial and economic complexity of the mechanisms defining agglomeration within and between cities.
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.
City Analytics: An invited special collection of articles for Royal Society Open Science 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.
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.