Infrastructure has become another hot word in post-industrial economies that are busy figuring out how they can renew all the physical plant that was constructed during their industrial past. The UK has established a National Infrastructure Commission amidst a flurry of proposed new initiatives involving high speed rail, and other new rail lines, a focus on new housing, as well as a continuing concern for ever faster broadband, specifically based on G5 technologies. American too, notwithstanding the President’s pronouncements, is also initiating new approach’s to established and renewing infrastructure from roads to bridges to airports.
Infrastructure, however, no longer relates to simply physical things, information infrastructure is hot on the agenda while social infrastructure pertains to all our organisational and indeed socially responsible administration that emerged during the 20th century and badly needs renewing. In the current editorial in Environment and Planning B, I summarise some of the key points about renewing our infrastructure. Many new kinds of models are being fashioned to deal with such problems which are now spatially extensive in a way their precursors were not, and integrating different sectors is now one of the key issues so that the wider impacts of new infrastructure can be assessed, as for example in the MISTRAL models being developed by a consortium of research groups in the UK.
You can get my editorial here.
Visited the Urban Dynamics Institute (UDI) headed up Budhendra Bhaduri (Budhu) which is a rapidly growing effort in data-driven technologies applicable to cities. This group which is based at Oakridge National Labs which began life in the war years as part of the Manhattan Project, focusses on research that is geared to understanding, predicting and resolving key urban problems using large data sets which are spatially extensive. It is one of the few groups around the world doing serious research into the science of cities, albeit data-driven in that the focus is on extracting urban patterns and processes from very large data sets. Traditionally these data sets have been based on imaging from remotely sensed data but are now being extended to social media and all kinds of real-time sensed data dealing with location, mobility, transportation and climate. Many of these projects utilise the powerful computer technologies established at Oak Ridge by the Department of Energy that runs the National Labs. At Oak Ridge, the UDI used the TITAN supercomputer for processing remotely sensed images that require various forms of deep learning in the extraction of pattern. TITAN is the fourth largest supercomputer worldwide (measured by petaflops – floating point operations per second which is greater than 10pb) but it is being replaced by SUMMIT and the lab could well take the top spot, overtaking China again – who knows.
The UDI’s most visible project is Landscan. This is a world-wide data set at very high resolutions – at various grains down to approximately 1 km resolution (30″ X 30″). let me quote from the web page: ” LandScan is the finest resolution global population distribution data available and represents an ambient population (average over 24 hours). The LandScan algorithm, an R&D 100 Award Winner, uses spatial data and imagery analysis technologies and a multi-variable dasymetric modeling approach to disaggregate census counts within an administrative boundary. Since no single population distribution model can account for the differences in spatial data availability, quality, scale, and accuracy as well as the differences in cultural settlement practices, LandScan population distribution models are tailored to match the data conditions and geographical nature of each individual country and region.”
I am a member of the Scientific Advisory Board [myself, Mike Goodchild (UCSB), John Harbor (Purdue), Nigel Davis (Willis), Karen Seto (Yale), and Luc Vincent (Lyft) were in attendance] and we visited Oak Ridge last week March 27-29 and I gave a talk to the Institute. Bhudu asked me to talk on Cities and AI and although I complained mildly that I didnt know much about AI, I have explored how neural nets can be used in models of design so I decided to talk about this. You can access and read my talk by clicking on this link that will give you the PDF
However the icing on the cake was a visit to see TITAN and the photographs above show a panorama of me along the bank of boxes which are thence arrayed in parallel in 8 rows, a truly massive machine. Also saw one like this at Harwell (Rutherford-Appleton) the other week at STFC !
The IPHS (International Planning History Society) has conferred one of its 2018 book prizes on Trixi Haselberger’s edited collection of the thoughts and reflections of some 16 of us who gathered in Vienna in 2014. I myself am not keen on being identified by age but it is easy to do so – someone came to the front door yesterday to conduct a poll and on seeing me, then asked if anyone under 65 was in the flat ! Anyway if you want to read what we all said about the world as it developed through planning theory during the last 50 years, please get hold of Trixi’s book. I blogged about it previously – click on this spot – but here is the citation for the prize”
“The prize, for the best planning history edited work goes to Beatrix HASELSBERGER (editor), Encounters in Planning Thought. 16 Autobiographical Essays from Key Thinkers in Spatial Planning, (New York and London: Routledge 2017).“The book unpacks”, as the editor writes, “the secrets of how and why sixteen distinguished spatial planners with an average age of 75 built their ideas over the last five to six decades”. Considering that this was an extraordinary generation of thinkers, the book offers a major contribution to planning history and theory. Utterly fascinating, it makes for a compelling read, while it provides significant insights into each of these planners’ ideas, lives, and work. It will be a classic. It is already being used to teach graduate planning theory classes. The credit for this outcome goes in part also to the editor, who probably did an excellent subterranean work in ensuring the cohesion and the readability of the whole.”