I gave two lectures on our smart cities projects to Geography at Nanjing Normal University and to a selection of researchers at Shenyang Jianzhu University drawn from architecture, urban planning, transport and GIS on the 25th and 27th September 2017. I post the lecture for Shenyang here so that anyone who wishes can access it. Click here or on the picture of the Imperial Palace above for the PDF. The lecture at Nanjing was more or less the same. I have given versions of it before so don’t expect completely new stuff but here it is. Enjoy!
A new book on data and big data in the city edited by Rob Kitchin, Tracey P. Lauriault, Gavin McArdle from Routledge. Lot of very interesting material here on the data revolution in cities. Smart cities concepts are explained and critiqued here which were the Proceedings from a workshop held at Kitchin’s Programmable Cities Project in Maynooth in 2016. Essential reading for all those interested in smart cities. My own contribution can be downloaded here but i don’t have the printed copy from the book so you have to make do with the proof version prior to publication. Click on here.
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.