SIMULACRA: Fast Land-Use—Transportation Models for the Rapid Assessment of Urban Futures

We are building a series of fast, visually accessible, cross-sectional, hence static urban models for large metropolitan areas that will enable us to rapidly test many different scenarios pertaining to both short-term and long-term urban futures. We call this framework SIMULACRA which is a forum for developing many different model variants which can be finely tuned to different problem contexts and future scenarios. The models are multisector, dealing with residential, retail/service, and employment location, are highly disaggregate, and subject to constraints on land availability and transport capacities. They have an explicit urban economic focus around transport costs, incomes, and house prices and thus encapsulate simple market-clearing mechanisms. Here we will briefly outline this class of models, paying particular attention to their structure and the way physical flows and locations are mirrored by economic flows in terms of costs and prices. Several versions of the model now exist, but we will focus, first, on the simplest ‘one-window’ desktop pilot version with the most obvious graphical interface; and, second, on a much more elaborated framework developed for web access, extensible to web service architectures and other related services. To demonstrate its flexibility and intelligibility, we define the various interfaces and demonstrate how the aggregate model can be calibrated to the wider London region to which it is applied. We will demonstrate the model, albeit briefly with respect to the rapid assessment of different urban futures—“what-if” scenarios, based on the impact of new London airports in the Thames Estuary. The key feature of this entire project is that the model and its variants can be run in a matter of seconds, thus entirely changing the traditional dialogue associated with their use and experimentation.

[1]  S. Albeverio,et al.  Fifty Years of Urban Modelling : Macro Statics to Micro Dynamics , in , 2007 .

[2]  Michael Batty,et al.  Planning Support Systems: Progress, Predictions, and Speculations on the Shape of Things to Come , 2007 .

[3]  Michael Wegener,et al.  Land-Use Transport Interaction Models , 2019, Handbook of Regional Science.

[4]  Alan Wilson LAND-USE/TRANSPORT INTERACTION MODELS: PAST AND FUTURE. , 1998 .

[5]  Ying Jin,et al.  A Recursive Spatial Equilibrium Model for Planning Large-Scale Urban Change , 2013 .

[6]  Michael Batty,et al.  Simulating the Spatial Distribution of Employment in Large Cities: with Applications to Greater London , 2012 .

[7]  Michael Batty,et al.  Fifty Years of Urban Modeling: Macro-Statics to Micro-Dynamics , 2008 .

[8]  Martin Fowler,et al.  Patterns of Enterprise Application Architecture , 2002 .

[9]  Alan Borning,et al.  Microsimulation of Urban Development and Location Choices: Design and Implementation of UrbanSim , 2003 .

[10]  Andrew Crooks,et al.  Agent-based Models of Geographical Systems , 2012 .

[11]  Ralph Kimball,et al.  The Data Warehouse Toolkit: The Complete Guide to Dimensional Modeling , 1996 .

[12]  Michael Batty Technical issues in urban model development: a review of linear and nonlinear model structures. , 1983 .

[13]  O. Wolkenhauer Why model? , 2013, Front. Physiol..

[14]  Alan Wilson,et al.  Boltzmann, Lotka and Volterra and spatial structural evolution: an integrated methodology for some dynamical systems , 2008, Journal of The Royal Society Interface.

[15]  Michael Batty,et al.  Urban Modeling in Computer-Graphic and Geographic Information System Environments , 1992 .

[16]  Michael Batty Visually-Driven Urban Simulation: Exploring Fast and Slow Change in Residential Location , 2013 .

[17]  Michael Batty,et al.  Dynamics of land-use change and growth , 2012 .

[18]  Stuart Barr,et al.  A blueprint for the integrated assessment of climate change in cities , 2009 .

[19]  Vassilis Zachariadis,et al.  LUISA: A Land-Use Interaction with Social Accounting Model; Presentation and Enhanced Calibration Method , 2013 .