A Framework for Integrated Modeling of Urban Systems



Growth of urban population and wealth have implied an increasing demand for land in
cities worldwide with the consequent effects on land prices, equity and also lack of
efficiency in the used resources, particularly regarding time and energy. In parallel, the
demand within transport systems is following similar patterns with strong consequences for
ecology and economy.
Development of modeling tools to help the selection and design of appropriate policies is
an extremely difficult task since urban systems comprise a large and heterogeneous set of
agents that interact in different markets and time scales. Therefore, it is not surprising that
empirical studies show that the final effect of public policies in this area often contradicts
predictions. This can be attributed to methodological drawbacks in the analysis derived
from an aggregate treatment of the agents and from not integrating the different
components that interact in the urban system.
This article presents the first stage in the development of an integrated micro-simulation
model of land use, transportation, and energy for the evaluation of a range of “green
policies” aiming at enhancing sustainability and well-being. The model will eventually
include both individual/household behavior components and organization/firm behavior
components and is based on model estimation and simulation of agents’ behavior at a
micro level. The outputs of the model include aggregate energy and resource consumptions
that are combined with outputs from an aggregate system dynamics models of urban
The MIT-Portugal program sponsors this stage of the model system development and the
initial application will be for the city of Lisbon, Portugal.


Urban activity models and data sensing and processing


Urban modeling

Related Project



ISOCARP 2009, October 2009

Cited by

Year 2015 : 1 citations

 C.A. Guevara. The Case against Road Congestion Pricing: Full Internalization of Congestion Externalities Is Not Enough, Acta XV Chileno de Ingeniería de Transporte, 2011

Year 2014 : 2 citations

 Mostafavi, Nariman, et al. "Integrated Urban Metabolism Analysis Tool (IUMAT)." Urban Policy and Research 32.1 (2014): 53-69.

 Shaoqing Chena, Bin Chena, Brian D. Fath. Urban ecosystem modeling and global change: Potential for rational urban management and emissions mitigation. Environmental Pollution, Vol. 190, July 2014, pp. 139–149, doi:10.1016/j.envpol.2014.03.032

Year 2013 : 2 citations

 Mostafavi, Nariman and Farzinmoghadam, Mohamad and Hoque, Simi and Weil, Benjamin, "Integrated Urban Metabolism Analysis Tool (IUMAT)", Urban Policy and Research, 1--17, 2013. doi: 10.1080/08111146.2013.826578

 Dugundji, E. R. "Socio-dynamic discrete choice: Theory and application." PhD Thesis, University of Amsterdam (2013).

Year 2012 : 2 citations

 Using Activity?Based Modeling to Simulate Urban Resource Demands at High Spatial and Temporal Resolutions
Aruna Sivakumar, James Keirstead, Journal of Industrial Ecology, 2012, 16(6).

 Chingcuanco, F. and Miller, E.J.:"A Microsimulation Model of Urban Energy Use: Modelling Residential Space Heating Demand in ILUTE ", Computers, Environment and Urban Systems, Volume 36, Issue 2, Pages 186–194, 2012.