This conference is the seventh in a by-now very well established meeting held each June in Cambridge UK, which brings together those working on land use transport interaction/integration models (LUTI models) in the narrower sense and more generally on urban simulation models. Although initially set up to continue work on aggregate land use and transportation models, it has broadened to include other kinds of models and this year there are interesting papers on very large scale models such as UrbanSim, PECAS and TRANUS as well as cellular automata models like SLEUTH. The programme is here and those wanting the papers should contact the authors. During the meeting we have had a session dealing with the contributions of Lionel March to urban modelling. I tweeted about this a couple of weeks ago but here is my contribution – the PDF of my talk about my work with Lionel some 44 years ago when we were both at the University of Waterloo in Engineering. Lionel of course set up the Centre for Land Use and Built Form Studies that morphed into the Martin Centre (at the University of Cambridge’s School of Architecture) in the mid 1970s. Much of what goes on in LUTI modelling can be traced to Lionel and I am not being melodramatic. My talk recounts what we did with probability theory and spatial interaction and how we tried to fashion ideas about priors, posteriors, minimum information and so on. There is much more to say about Lionel’s contributions but readers might be interested in my own thoughts which are in the attached PDF. Enjoy.
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 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.