Explicit Modeling of Spatial Growth Patterns in Shama, Ghana: an Agent-Based Approach

Journal of Geovisualization and Spatial Analysis

Volumn 1, Issue 1-2, 2017, Pages

  Inkoom, Justice Nana ^a   Nyarko, Benjamin Kofi ^b   Antwi, Kwabena Barima ^b  

^a UNIVERSITY OF BONN   (Germany)

^b UNIVERSITY OF CAPE COAST   (Ghana)

Author keywords

Agent based model; GIS; Growth patterns; Location decision making; Spatial planning

Indexed keywords

EID: 85046761435     PISSN: None     EISSN: 25098829     Source Type: Journal    
DOI: 10.1007/s41651-017-0006-2     Document Type: Article

References (38)

1. Barros JX (2004) Urban growth in Latin American cities: exploring urban dynamics through agent-based simulation. Dissertation, University College London
2. Benenson I (1998) A cellular automata for the simulation of competitive location. Comput Environ Urban Syst 12(7):699–714
3. Benenson I, Omer I, Hatna E (2002) Entity-Based Modeling of Urban Residential Dynamics: The Case of Yaffo, Tel Aviv. Environ Plann B Plann Des 29(4):491-512
4. Benenson I, Torrens PM (2004) Geosimulation: object-based modeling of urban system computers. Environ Urban Syst 28(1/2):1–8 DOI: 10.1016/S0198-9715(02)00067-4
5. Bonabeau E (2002) Agent-based modelling: methods and techniques for simulating human systems. Proc Natl Acad Sci U S A 99(Suppl. 3):7280–7287 DOI: 10.1073/pnas.082080899
6. Camagni R, Cristina M, Paolo R (2002) Urban mobility and urban form: the social and environment cost of different patterns of urban expansion. Ecol Econ 40(2):199–216 DOI: 10.1016/S0921-8009(01)00254-3
7. Crooks AT, Hailegiorgis AB (2014) An agent-based modeling approach applied to the spread of cholera. Environ Model Softw 62:164–177. doi:10.1016/j.envsoft.2014.08.027 DOI: 10.1016/j.envsoft.2014.08.027
8. Feitosa, F., Bao Le, Q., & Vlek, P. (2009, September 14-18). MASUS: a multi-agent simulator for urban segregation. Paper presented at the 6th conference of the European Social Simulation Association (ESSA), University of Surrey, Guildford, United Kingdom
9. Felsen M, Wilensky U (2007) NetLogo urban suite—economic disparity model. Centre for Connected Learning and Computer-Based Modelling, Northwestern University, Evanston, IL. http://ccl.Northwestern.Edu/netlogo/models/UrbanSuite-economic disparity. Accessed 13 January 2015
10. Feng Y, Liu Y, Tong X, Liu M, Deng S (2011) Modeling dynamic urban growth using cellular automata and particle swarm optimization rules. Landsc Urban Plan 102:188–196 DOI: 10.1016/j.landurbplan.2011.04.004
11. Ghana Statistical Service (GSS) (2000) Ghana livings standard survey. Ghana Statistical Service, Accra
12. Ghana Statistical Service (GSS) (2005) Ghana livings standard survey. Ghana Statistical Service, Accra
13. Ghana Statistical Service (2012) 2010 Population & Housing Cencus Summary Report of Final Results. Ghana Statistical Service, Accra
14. Ghana Statistical Service Ghana Statistical Service (GSS) (1984). Annual Report: 1984 Issue
15. Grimm V, Berger U, DeAngelis DL, Polhill G, Giske J, Railsback SF (2010) The ODD protocol: a review and first update. Ecol Model 221:2760–2768 http://www.Railsback-grimm-abm-book.Com/Chapter03/GrimmEtAl2010_ODD-update-1.Pdf Accessed 25 august, 25 2014 DOI: 10.1016/j.ecolmodel.2010.08.019
16. Groenendijk L, Kuffer M (2006) Dar es Salaam case study: background information. ITC, Enschede
17. Haase D, Haase A, Kabisch N, Kabisch S, Rink D (2012) Actors and factors in land-use simulation: the challenge of urban shrinkage. Environ Model Softw 35:92–103 DOI: 10.1016/j.envsoft.2012.02.012
18. Itami RM (1994) Simulating spatial dynamics: cellular automata theory. Landsc Urban Plan 30:27–47 DOI: 10.1016/0169-2046(94)90065-5
19. Jjumba A, Dragićević S (2012) High resolution urban land-use change modeling: agent iCity approach. Appl Spat Anal Policy 5:291–315 DOI: 10.1007/s12061-011-9071-y
20. Jordan R, Barkin M, Evans A (2014) An agent-based model of residential mobility assessing the impacts of urban regeneration policy in the EASEL district. Comput Environ Urban Syst 48:49–63 DOI: 10.1016/j.compenvurbsys.2014.06.006
21. Kizito A (2005) Urbanization and flooding in Accra, Ghana. Accra, Ghana. Dissertation Miami University
22. Lee DB Jr (1973) Requiem for large-scale models. J Am Inst Plann 39:163–178 DOI: 10.1080/01944367308977851
23. Li X, Liu X (2007) Defining agents’ behaviors to simulate complex residential development using multicriteria evaluation. J Environ Manag 85:1063–1075 DOI: 10.1016/j.jenvman.2006.11.006
24. Macal CM, North MJ (2006) Tutorial on agent-based modelling and simulation part 2: how to model with agents. Paper presented at the proceedings of the 38th Conference on winter simulation
25. Manson S (2000) Agent-based dynamic spatial simulation of land-use/cover change in the Yucatán peninsula, Mexico. 4th International Conference on integrating GIS and environmental modeling (GIS/EM4). Problems, prospects and research needs. Banff, Alberta, Canada, September 2–8, 2000. http://hegis.Umn.Edu/pubs/Manson_2000_GISEM4_ADSS_RT.Pdf Accessed 12 December, 2011
26. Matthews RB, Gilbert NG, Roach A, Polhill JG, Gotts NM (2007) Agent-based land-use models: a review of applications. Landsc Ecol 22:1447–1459 DOI: 10.1007/s10980-007-9135-1
27. North MJ, Macal CM (2007) Managing business complexity: discovering strategic solutions with agent-based modeling and simulation. Oxford University Press, Oxford DOI: 10.1093/acprof:oso/9780195172119.001.0001
28. Odunuga OV (2009) Exploring spatial growth pattern of informal settlements through agent-based simulation. Thesis, International Institute for Geo-Information Science and Earth Observation, Enschede, The Netherlands
29. Patino JE, Duque JC (2013) A review of regional science applications of satellite remote sensing in urban settings. Comput Environ Urban Syst 37:1–17. doi:10.1016/j.compenvurbsys.2012.06.003 DOI: 10.1016/j.compenvurbsys.2012.06.003
30. Rabe B, Taylor MP (2010) Residential mobility, quality of neighbourhood and life course events. J R Stat Soc 173(3):532–555 DOI: 10.1111/j.1467-985X.2009.00626.x
31. Robinson D, Murray-Rust D, Rieser V, Milicic V, Rounsevell M (2012) Modelling the impacts of land system dynamics on human well-being: using an agent-based approach to cope with data limitations in Koper, Slovenia. Comput Environ Urban Syst 36:164–176 DOI: 10.1016/j.compenvurbsys.2011.10.002
32. Schelling TC (1969) Models of segregation. Am Econ Rev 59(2):488–493
33. Seek NH (1983) Adjusting housing consumption: improve or move. Urban Stud 20(4):455–469 DOI: 10.1080/00420988320080811
34. Shun-Chieh H (2014) Analyzing urbanization data using rural–urban interaction model and logistic growth model. Comput Environ Urban Syst 45:89–100. doi:10.1016/j.compenvurbsys.2014.01.002 DOI: 10.1016/j.compenvurbsys.2014.01.002
35. Sietchiping, R (2004) A Geographic Information Systems and cellular automata-based model of informal settlement growth. PhD thesis, School of Anthropology, Geography and Environmental Studies. The University of Melbourne, Australia
36. Tan R, Liu Y, Zhou K, Jiao L, Tang W (2015) A game-theory based agent-cellular model for use in urban growth simulation: a case study of the rapidly urbanizing Wuhan area of central China. Comput Environ Urban Syst 49:15–29 DOI: 10.1016/j.compenvurbsys.2014.09.001
37. Young G (2010) Socioeconomic analysis of informal settlement growth in Dar es Salaam: the concept for an agent-based model. Thesis, International Institute for geo-Information Science and Earth Observation, Enschede, The Netherlands
38. Young GF, Flacke J (2010) Agent-based model of the growth of an informal settlement in Dar es Salaam, Tanzania: An empirically informed concept. Paper submitted to 2010 International congress on environmental modelling and software, International environmental modelling and software society (iEMSs), Ottawa, Canada