LUISA: A Land-Use Interaction with Social Accounting Model; Presentation and Enhanced Calibration Method

Random utility modelling has been established as one of the main paradigms for the implementation of land-use spatial interaction (LUSI) models. We present a detailed formal description of a LUSI model that adheres to the random utility paradigm through the explicit distinction between utility and cost across all processes that represent the behaviour of agents. The model is rooted in a social accounting matrix, with the workforce and households accounts being disaggregated by socioeconomic type. Similarly, the land account is broken down by domestic and nondomestic land-use types. The model is developed around two processes. Firstly, the generation of demand for inputs required by established production; when appropriate the implicit production functions are assumed to depend on costs of inputs, which give rise to price-elastic demands. And, secondly, the spatial assignment of demanded inputs to locations of their production; here sequences of decisions are used to distribute demand both spatially and aspatially, and to propagate costs and utilities of production and consumption that emerge from imbalances between supply and demand. The implementation of this generic model is discussed in relation to the case of the UK. The model has been developed for testing the sustainability of integrated economic, spatial development policies, and output information for estimating urban form and the potential for decentralised technologies. The inputs include area-wide socioeconomic forecasts and the allocation policy of urban land. The outputs include the spatial allocation of activities and prices of labour, goods and services, land, and floorspace. They are combined with the land inputs to estimate the changes in the density of urban form and activities. These outputs can then be used to estimate the demands for infrastructure services and the potential for decentralised infrastructure supply. We focus primarily on the calibration process and its methodological implications, including a method of refining the calibration and demonstrate how this improves the spatial representation of the utility of land.

[1]  K. Kockelman,et al.  The random-utility-based multiregional input-output model: solution existence and uniqueness , 2004 .

[2]  M H Echenique.  Urban and Regional Studies at the Martin Centre: Its Origins, its Present, its Future , 1994 .

[3]  J. Goldthorpe,et al.  Social Mobility and Class Structure in Modern Britain , 1980 .

[4]  T J Fratar.  VEHICULAR TRIP DISTRIBUTION BY SUCCESSIVE APPROXIMATIONS , 1954 .

[5]  Anil Namdeo,et al.  Growing Cities Sustainably , 2012 .

[6]  John Douglas Hunt.  Calibrating the Naples Land-Use and Transport Model , 1994 .

[7]  M. Wegener.  Overview of Land Use Transport Models , 2004 .

[8]  Kenneth E. Train,et al.  Discrete Choice Methods with Simulation , 2016 .

[9]  H. Williams.  On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit , 1977 .

[10]  Britton Harris,et al.  A NOTE ON THE PROBABILITY OF INTERACTION AT A DISTANCE , 1964 .

[11]  I N Williams.  An Approach to Solving Spatial-Allocation Models with Constraints , 1979 .

[12]  Martin Berzins,et al.  Spatial Interaction Models and Fisher Information: A New Calibration Algorithm , 2003 .

[13]  Daniel McFadden,et al.  AGGREGATE TRAVEL DEMAND FORECASTING FROM DISAGGREGATED BEHAVIORAL MODELS , 1975 .

[14]  Alan Wilson,et al.  A statistical theory of spatial distribution models , 1967 .

[15]  W. C. Labys,et al.  Spatial equilibrium analysis , 1987 .

[16]  Alan Wilson,et al.  Entropy in urban and regional modelling , 1972, Handbook on Entropy, Complexity and Spatial Dynamics.

[17]  Norihiko Yamano,et al.  The OECD Input-Output Database: 2006 Edition , 2006 .

[18]  E. Glaeser,et al.  The Economics of Place-Making Policies , 2008 .

[19]  H Lahelma,et al.  Testing integrated transport and land-use models in the Helsinki Metropolitan Area , 1995 .

[20]  John Douglas Hunt,et al.  The MEPLAN models of Bilbao, Leeds and Dortmund , 1990 .

[21]  Y Jin.  The YEZTS Transport Model: A Discussion of the Empirical Findings on Modal Split , 1994 .

[22]  Y Jin,et al.  A NEW LAND USE AND TRANSPORT INTERACTION MODEL FOR LONDON AND ITS SURROUNDING REGIONS , 2002 .

[23]  Ian Richard Gordon.  Entropy, Variety, Economics, and Spatial Interaction. 熵、多样性、经济学和空间相互作用 , 2010 .

[24]  Hassan Abdulaziz,et al.  Environment and Planning , 1969 .

[25]  Marcial Echenique.  Econometric Models of Land Use and Transportation , 2004 .

[26]  A. Anas.  Discrete choice theory, information theory and the multinomial logit and gravity models , 1983 .

[27]  Michael Batty,et al.  Complex spatial systems: The modelling foundations of urban and regional analysis , 2001 .

[28]  John Douglas Hunt,et al.  Theory and Application of an Integrated Land-Use and Transport Modelling Framework , 1993 .

[29]  I N Williams.  A Model of London and the South East , 1994 .