ASSURE: a model for the simulation of urban expansion and intra-urban social segregation

ABSTRACT Numerous cities in developing regions worldwide are expanding at a tremendous rate. This requires adequate strategies to address the needs of these growing cities with diverse populations. Nonetheless, the development of urban policies is often hampered by the lack of reliable data or insight in the socio-spatial dynamics of this urban expansion. This paper therefore presents ASSURE, a spatially and temporally explicit model that can simulate urban growth and intra-urban social segregation, taking into account alternative policy strategies and expected social dynamics. The model has a flexible structure that allows incorporating specific city conditions that influence residential decision-making and adapting the simulation to the data available. This, in combination with the transparent model structure, makes ASSURE a potentially valuable decision support tool for urban planning. The potential is demonstrated with an example where the urban growth of and social segregation in Kampala (Uganda) is simulated based on (semi-)quantitative and qualitative data for ca. 800 households collected through interviews. The results of the simulations show that depending on the scenario, the spatial segregation and accessibility problems will evolve highly differently.

[1]  Dawn C. Parker,et al.  Measuring pattern outcomes in an agent-based model of edge-effect externalities using spatial metrics , 2004 .

[2]  K. Newman,et al.  The Right to Stay Put, Revisited: Gentrification and Resistance to Displacement in New York City , 2006 .

[3]  J. Gareth Polhill,et al.  Agent-based land-use models: a review of applications , 2007, Landscape Ecology.

[4]  A. Rompaey,et al.  Detecting and modelling spatial patterns of urban sprawl in highly fragmented areas: A case study in the Flanders–Brussels region , 2009 .

[5]  Michael Batty,et al.  Cities and Complexity: Understanding Cities Through Cellular Automata, Agent-Based Models and Fractals , 2005 .

[6]  P. Hall,et al.  Urban Future 21: A Global Agenda for Twenty-First Century Cities , 2000 .

[7]  Thomas C. Schelling,et al.  Dynamic models of segregation , 1971 .

[8]  F. Obeng-Odoom.  The State of African Cities 2010: Governance, inequality and urban land markets , 2013 .

[9]  P. Smets,et al.  Countering Urban Segregation: Theoretical and Policy Innovations from around the Globe , 2008 .

[10]  Lourdes Diaz Olvera,et al.  Etalement urbain, situations de pauvreté et accès à la ville en Afrique subsaharienne. L'exemple de Niamey , 2002 .

[11]  N. Bailey.  How Spatial Segregation Changes over Time: Sorting Out the Sorting Processes , 2012 .

[12]  N. Grassly,et al.  United Nations Department of Economic and Social Affairs/population Division , 2022 .

[13]  Un Habitat.  State of the World's Cities 2012/2013: Prosperity of Cities , 2013 .

[14]  Mike Jenks,et al.  Compact Cities : Sustainable Urban Forms for Developing Countries , 2000 .

[15]  M. Fossett,et al.  Generative Models of Segregation: Investigating Model-Generated Patterns of Residential Segregation by Ethnicity and Socioeconomic Status , 2011, The Journal of mathematical sociology.

[16]  Gautam Bhan.  “This is no longer the city I once knew”. Evictions, the urban poor and the right to the city in millennial Delhi , 2009 .

[17]  M. Batty,et al.  Modeling urban dynamics through GIS-based cellular automata , 1999 .

[18]  R. White,et al.  High-resolution integrated modelling of the spatial dynamics of urban and regional systems , 2000 .

[19]  Andrés Manuel García,et al.  Cellular automata models for the simulation of real-world urban processes: A review and analysis , 2010 .

[20]  M. Batty.  Generative social science: Studies in agent-based computational modeling , 2008 .

[21]  M. Davis.  Planet of Slums , 2004 .

[22]  A. Rompaey,et al.  Will urban farming survive the growth of African cities: A case-study in Kampala (Uganda) , 2013 .

[23]  Anton Van Rompaey,et al.  Who could benefit from a bus rapid transit system in cities from developing countries? A case study from Kampala, Uganda , 2015 .

[24]  Zhiyong Hu,et al.  Modeling urban growth in Atlanta using logistic regression , 2007, Comput. Environ. Urban Syst..

[25]  A. Rompaey,et al.  Urban growth of Kampala, Uganda: Pattern analysis and scenario development , 2012 .

[26]  C. Kesteloot,et al.  Socio-spatial Inequalities and Social Cohesion in European Cities , 2012 .

[27]  Robert Kabumbuli,et al.  Participatory planning, management and alternative livelihoods for poor wetland-dependent communities in Kampala, Uganda. , 2009 .

[28]  Nitin K. Tripathi,et al.  Geospatial scenario based modelling of urban and agricultural intrusions in Ramsar wetland Deepor Beel in Northeast India using a multi-layer perceptron neural network , 2014, Int. J. Appl. Earth Obs. Geoinformation.

[29]  E. Burton.  The Compact City: Just or Just Compact? A Preliminary Analysis , 2000 .

[30]  Dawn Cassandra Parker,et al.  Spatial agent-based models for socio-ecological systems: Challenges and prospects , 2013, Environ. Model. Softw..

[31]  R. Potter,et al.  The City in the Developing World , 2016 .

[32]  J. Urry,et al.  Place, Policy and Politics: Do Localities Matter? , 1990 .

[33]  A. Abbott,et al.  On "The Measurement of Spatial Segregation" , 1984, American Journal of Sociology.

[34]  Michael Batty,et al.  Cities and complexity - understanding cities with cellular automata, agent-based models, and fractals , 2007 .

[35]  Johannes Flacke,et al.  Simulating informal settlement growth in Dar es Salaam, Tanzania: An agent-based housing model , 2011, Comput. Environ. Urban Syst..

[36]  Keith C. Clarke,et al.  A Self-Modifying Cellular Automaton Model of Historical Urbanization in the San Francisco Bay Area , 1997 .

[37]  Itzhak Benenson,et al.  Agent-Based Modeling: From Individual Residential Choice to Urban Residential Dynamics , 2004 .

[38]  D. Geneletti.  Assessing the impact of alternative land-use zoning policies on future ecosystem services , 2013 .

[39]  Tony Lloyd-Jones,et al.  Urban Livelihoods: A People-centred Approach to Reducing Poverty , 2014 .

[40]  M. Greene,et al.  Incremental construction: a strategy to facilitate access to housing , 2008 .

[41]  Johannes Flacke,et al.  Agent-based model of the growth of an informal settlement in Dar es Salaam, Tanzania: An empirically informed concept , 2010 .

[42]  G. Mountrakis,et al.  Urban Growth Prediction: A Review of Computational Models and Human Perceptions , 2012 .

[43]  M. Janssen,et al.  Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review , 2003 .

[44]  E. Werna.  Healthy City Projects in Developing Countries: An International Approach to Local Problems , 1998 .

[45]  Xiaoping Liu,et al.  Embedding sustainable development strategies in agent‐based models for use as a planning tool , 2008, Int. J. Geogr. Inf. Sci..

[46]  김창영,et al.  Housing Welfare Policy Implication and Urban Low-income Housing Tenure - Focused on the Busan Metropolitan City - , 2010 .

[47]  L. Lees.  The geography of gentrification , 2012 .

[48]  S. Lwasa,et al.  POPULATION, URBAN DEVELOPMENT AND THE ENVIRONMENT IN UGANDA: THE CASE OF , 2007 .