International Journal of Environmental Planning and Management
Articles Information
International Journal of Environmental Planning and Management, Vol.1, No.1, Apr. 2015, Pub. Date: Apr. 20, 2015
An Agent-Based Framework to Improve Coordination in the Process of Urban Infrastructure Provision in Iran
Pages: 18-32 Views: 2651 Downloads: 1251
Authors
[01] Saeid Yazdani, Department of Landscape Architecture, Faculty of Design and Architecture, Universiti Putra Malaysia, Serdang, Selangor, Malaysia; Department of Urban Planning, Malayer Branch, Islamic Azad University, Malayer, Hamedan, Iran.
[02] Mohd Johari Mohd Yusof, Department of Landscape Architecture, Faculty of Design and Architecture, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
[03] Mohammad Mehdi Azizi, School of Urban Planning, College of Fine Arts, University of Tehran, Tehran,Tehran, Iran.
[04] Abang Abdullah Abang Ali, Housing Research Centre, University Putra Malaysia, Serdang, Selangor, Malaysia.
Abstract
Urban infrastructure systems are basic requirements for civilized societies all over the word. The ever increasing reliance of modern society on these interconnected urban sub-systems triggers great attention about the provision of urban infrastructure systems. In turn, coordination between different agencies, who are involved in the process of urban infrastructure for new areas, plays a prominent role in the success of the process. The essential need for coordination in the process of urban infrastructure provision is derived from three different sources, complex nature of infrastructure systems, the existence of multiple interdependencies between these systems, and triple role of human beings in the process.To this end, based on findings of coordination context of urban infrastructure provision in Iran, coordination theory, and agent-based modeling approach, this paper presents an agent-based modeling framework in order to improve coordination between different urban infrastructure agencies in the context of service provision for new residential areas.
Keywords
Urban Infrastructure Provision, Coordination, Interdependency, Agent-Based Modeling
References
[01] Amin, M. (2002a). “Toward secure and resilient interdependent infrastructures.” J. Infrastruct. Syst., 8(3), 67–75.
[02] Amin, M. (2002b). “Modelling and Control of Complex Interactive Networks'', IEEE Control System Magazine, pp. 22-27, 2002.
[03] Axelrod, R. & Tesfatsion, L. (2010). On-Line Guide for Newcomers to Agent-Based Modeling in the Social Sciences. from /http: // www2.econ.iastate.edu/tesfatsi/abmread.htmS.
[04] Axelrod, R.(1997).The Complexity of Cooperation: Agent-Based Models of Competition and Collaboration. Princeton University Press, Princeton, NJ.
[05] Axelrod, R. & Tesfatsion, L. (2006). A guide for newcomers to agent based modeling in the social sciences.Handbook of computational economics. Vol. 2: Agent-based computational economics, L. Tesfatsion and K. L. Judd, eds., Handbooks in Economics Series, Elsevier/ North-Holland, Amsterdam, The Netherlands.
[06] Bak, P. (1996) How Nature Works: The Science of Self-Organized Criticality, Springer-Verlag, New York, NY.
[07] Barabasi, A.L. (2002). Linked: The new science of networks. New York: Perseus.
[08] Bar-Yam, Y. (1997). Dynamics of complex systems (Vol. 213). Reading, MA: Addison-Wesley.
[09] Batty, M. (2005). Cities and Complexity: Understanding Cities with Cellular Automata, Agent-Based Models, and Fractals. Mass.: MIT Press, Cambridge.
[10] Baynes, T. M. (2009). Complexity in urban development and management.Journal of Industrial Ecology, 13(2), 214-227.
[11] Benenson, I. (1999). Modelling population dynamics in the city: from a regional to a multi-agent approach. Discrete Dynamics in Nature and Society 3, 149–170.
[12] Berger, T. (2001). Agent-based spatial models applied to agriculture: a simulation tool for technology diffusion, resource use changes, and policy analysis. Agricultural Economics 25, 245–260.
[13] Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences 99 (3), 7280–7287.
[14] Brown, D., Riolo, R.L., Robinson, D.T., North, M., & Rand, W. (2005). Spatial process and data models: toward integration of agent-based models and GIS. Journal of Geographical Systems7 (1), 25–47.
[15] Brown, D. & Xie, Y. (2006). Spatial agent-based modeling. International Journal of Geographical Information Science 20 (9), 941–943.
[16] Buchanan, M. (2009). Economics: Meltdown modelling. Nature 460 (7256), 680–682.
[17] Castelfranchi, C. (1995). Guarantees for autonomy in cognitive agent architecture. In: Wooldridge, M.J., Jennings, N.R. (Eds.), Intelligent Agents: Theories, Architectures, and Lan- guages (LNAI Volume 890). Springer-Verlag, pp. 56–70.
[18] Chen, L. (2012). Agent-based modeling in urban and architectural research: A brief literature review.Frontiers of Architectural Research,1(2),166-177.
[19] Chunlei, W., Lan, F., & Yiqi, D. (2011). National Critical Infrastructure Modeling and Analysis Based on Complex System Theory. In Instrumentation, Measurement, Computer, Communication and Control, 2011 First International Conference on (pp. 832-836). IEEE.
[20] Cirillo, R., Thimmapuram, P., Veselka, T., Koritarov, V., Conzelmann, G., Macal, C., ... & Cheng, X. (2006). Evaluating the potential impact of transmission constraints on the operation of a competitive electricity market in Illinois. Report ANL, 16(06).
[21] Davis, D.N. (2000). Agent-based decision-support framework for water supply infrastructure rehabilitation and development, Computers, Environment and Urban Systems 24 (2000) 173–190.
[22] de la Garza, J.M., Drew, D.R., & Chasey, A.D. (1998). Simulating Highway Infrastructure Management Polices. Journal of Engineering Management, 13(5), 64-72.
[23] Dennet, D. (1996). Darwin’s Dangerous Idea: Evolution and the Meanings of Life. Simon & Schuster.
[24] De Smith, M.J., Goodchild, M.F., & Longley, P.A., (2007). Geospatial Analysis: A Comprehensive Guide to Principles, Techniques and Software Tools, second ed. Leicester, Matador.
[25] Drogoul, A. & Ferber, J. (1994). Multi-Agent Simulation as A Tool for Studying Emergent Processes in Societies. In: Gilbert, N., Doran, J. (Eds.), Simulating Societies: The Computer Simulation of Social Phenomena. University College London Press, London.
[26] Engel-Yan, J., Kennedy, C., Saiz, S., & Pressnail, K. (2005). Towards Sustainable Neighbourhoods: The Need to Consider Infrastructure Interactions, available at:www.nrca.org.
[27] Epstein, J.M. & Axtell, R. (1996). Growing Artificial Societies: Social Science from the Bottom up. Brookings Institution Press, Washington, D.C.
[28] Feldman, R.D., Mudge, R., & Rubin, K.I. (1988). Financing Infrastructure Tools for the Future. New York: Executive Enterpris es, Inc.
[29] Feuillette, S., Bousquet, F., & Le Goulven, P. (2003). SINUSE: a multiagent model to negotiate water demand management on a free access water table. Environmental Modelling and Software 18,413–427.
[30] Fischer, K., Muller, J.P., & Pischel, M. (1996). Cooperative transportation scheduling: An application domain for DAI. Applied Artificial Intelligence 10 (1), 1–34.
[31] Gall, J. (2002). The Systems Bible: The Beginner's Guide to Systems Large and Small: Being the Third Edition of Systemantics. General Systemantics Press.
[32] Gilbert, N. & Terna, P. (2000). How to build and use agent-based models in social science. Mind and Society 1 (1), 57–72.
[33] Gilbert, N. (2008). Agent-Based Models. Sage Publications, Los Angeles.
[34] Grimm, V., Berger, U., Bastiansen, F., Eliassen, S., Ginot, V., Giske, J., ... & DeAngelis, D. L. (2006). A standard protocol for describing individual-based and agent-based models. Ecological modelling, 198 (1), 115-126.
[35] Haimes, Y.Y. & Jiang, P. (2001). Leontief-Based Model of Risk in Complex Interconnected Infrastructures. ASCE Journal of Infrastructure Systems, 7(1), 1-12.
[36] Hayes, C.C. (1999). Agents in a nutshell -a very brief introduction. IEEE Transactions on Knowledge and Data Engineering 11 (1), 127–132.
[37] Hejazi, S. J. (2003). Quality urban regeneration, co-ordinated professional leadership and integrated urban management in western Europe: Learning from Europeanexperience in relation to the Iranian context. Newcastle upon Tyne: Newcastle University.
[38] Heller, M. (2002, September). Interdependencies in civil infrastructure systems. In Frontiers of Engineering: Reports on Leading-Edge Engineering from the 2001 NAE Symposium on Frontiers of Engineering (p. 47). National Academies Press.
[39] Hoffmann, M., Kelley, H., Evans, T., & Janssen, M. A. (2002). Simulating land-cover change in South-Central Indiana: an agent-based model of deforestation and afforestation. Complexity and ecosystem management: The theory and practice of multi-agent systems, 218-247.
[40] Hogeweg, P. & Hesper, B. (1983). The ontogeny of the interaction structure in BumbleBee colonies: a MIRROR model. Behavioral Ecology and Sociobiology 12, 271–283.
[41] Holland, J. H. (1995). Hidden Order: How Adaptation Builds Complexity. Addison-Wesley: Reading, MA.
[42] Holland, J. H. (1988). “The global economy as an adaptive process.” The economy as a an evolving complex system, P.W. Anderson, K. J. Arrow, and D. Pines eds., Addison–Wesley, Redwood City, Calif.
[43] Hudson, R., Haas, R., & Uddin, W. (1997). Infrastructure Management: Integrating Design, Construction, Maintenance, Rehabilitation, and Renovation. McGraw Hill, New York, NY.
[44] Jacobs, J. (1961). The death and life of great American cities. New York: Vintage/Random House.
[45] Jennings, N.R., Sycara, K. & Wooldridge, M. (1998). A roadmap of agent research and development. Autonomous Agents and Multi- Agent Systems 1, 7–38.
[46] Jiang, B. & Gimblett, H.R. (2002). An Agent-Based Approach to Environmental and Urban Systems within Geographic Information Systems. In: Gimblett, H.R. (Ed.), Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Simulating Social and Ecological Processes. Oxford University Press, Oxford, pp. 171–190.
[47] Jiang, T. & Tianfield, H. (2006). "Literature Review Upon Multi-Agent Supply Chain Management," Machine Learning and Cybernetics, 2006 International Conference on, vol., no., pp.89,94. doi: 10.1109/ICMLC.2006.258877.
[48] Khan, M. M. (1997). Urban Local Governance in Bangladesh: An overview. In N. Islam & M. M. Khan (Eds.), Urban governance in Bangladesh and Pakistan (pp. 7–26). Dhaka: Centre for Urban Studies.
[49] Kikuchi, S., Rhee, J., & Teodorovic, D. (2002). Applicability of an agent-based modeling concept to modeling of transportation phenomena. Yugoslav Journal of Operations Research ISSN: 0354-0243 EISSN: 2334-6043, 12(2).
[50] Kii, M. & Doi, K. (2005). Multiagent land-use and transport model for the policy evaluation of a compact city. Environment and Planning B: Planning and Design 32, 485–504.
[51] Kjenstad, D. (1998). Coordinated supply chain scheduling. Ph.D. Thesis. Department of Production and Quality Engineering, Norwegian University of Science and Technology.
[52] Kohler, T.A. & Gumerman, G. (2001). Dynamics in Human and Primate Societies.Oxford University Press,New York.
[53] Langton, C.G. (1989). Artificial life. In: Langton CG (ed). Artificial Life: The Proceedings of an Interdisciplinary Workshop on the Synthesis and Simulation of Living Systems (held September 1987, Los Alamos, New Mexico, Vol. VI in Santa Fe Institute Studies in the Sciences of Complexity), Addison-Wesley: Reading, MA, pp 1–47.
[54] Lansing, J.S. & Kremer, J.N. (1993). Emergent properties of Balinese water temple networks: coadaptation on a rugged fitness land- scape. American Anthropologist 95 (1), 97–114.
[55] Levinson, D. & Yerra, B. (2006). Self-organization of surface transportation networks. Transp. Sci., 40_2_, 179–188.
[56] Little, R. G. (2002). “Controlling cascading failure: Understanding the vulnerabilities of interconnected infrastructures.” J. of Urban Technology, 9(1), 109–123.
[57] Liu, Z. (2004). Planning and Policy Coordination in China's Infrastructure Development. Background paper commissioned for the ADB-JBIC-World Bank East Asia and Pacific Infrastructure Flagship Study.
[58] Luck, M., McBurney, P., & Preist, C. (2003). Agent Technology: Enabling Next Generation Computing: A Roadmap for Agent Based Computing. AgentLink II.
[59] Macal, C.M. & North, M.J. (2006). Tutorial on agent-based modeling and simulation part 2: how to model with gents. In Proceedings of the 38th conference on Winter simulation (WSC '06), L. Felipe Perrone, Barry G. Lawson, Jason Liu, and Frederick P. Wieland (Eds.). Winter Simulation Conference 73-83.
[60] Macal, C. M. & North, M. J. (2008, December). Agent-based modeling and simulation: ABMS examples. N Proceedings of the 40th Conference on Winter Simulation (pp. 101-112). Winter Simulation Conference.
[61] Macal, C.M. & North, M.J. (2010). Tutorial on agent-based modelling and simulation. Journal of Simulation. 4, 151–162.
[62] Malone, T.V. & Crowston, K. (1994). The Interdisciplinary Study of Coordination. ACM Computing Surveys, Vol. 26, No. 1, March 1994.
[63] March, J. G., & Simon, H. A. (1958). Organizations. New York: John Wiley.
[64] Miller, J. H. & Page, S. E. (2007). Complex adaptive systems: An introduction to computational models of social life. Princeton, NJ: Princeton University Press.
[65] Minar, N., Burkhart, R., Langton, C. & Askenazi, M. (1996). The Swarm simulation system, a toolkit for building multi-agent simulations, retrieved from .
[66] Mintzberg, H. (1993). Structure in Fives. Designing Effective Organizations, Prentice-Hall, Englewood Cliffs, USA.
[67] Mitchell, M., & Newman, M. (2002). Complex systems theory and evolution. Encyclopedia of Evolution, 1-5.
[68] Nagel, K. & Rasmussen, S. (1994). Traffic at the edge of chaos. In: Brooks, R.A., Maes,P.(Eds.), Artificial Life IV: Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems. MIT Press, Cambridge, MA, pp. 222–235.
[69] NetLogo (2006). NetLogo home page. .
[70] Nikolic, I. & Dijkema, G. P. J. (2010). On the development of agent-based models for infrastructure evolution. IJCIS, 6, 148-167.
[71] North, M. J., Collier, N. T. & Vos, J. R. (2006). Experiences in Creating Three Implementations of the Repast Agent Modeling Toolkit, ACM Transactions on Modeling and Computer Simulation, 16(1):1-25, January.
[72] North, M. J. & Macal, C. M. (2005). Escaping the accidents of history: an overview of artificial life modeling with Repast. In Artificial Life Models in Software, eds. A. Adamatzky and M. Komosinski, Springer-Verlag: Dordrecht, Netherlands.
[73] Osman, H. (2012). Agent-based simulation of urban infrastructure asset management activities. Automation in Construction 28 (2012) 45–57.
[74] Otegbulu, A., & Adewunmi, Y. (2009). Evaluating the sustainability of urban housing development in Nigeria through innovative infrastructure management. International Journal of Housing Markets and Analysis, 2 (4), 334–346. doi:10.1108/17538270910992782.
[75] Panday, P.K. & Jamil, I. (2010). Challenges of Coordination in Implementing Urban Policy: The Bangladesh Experience. Public Organiz Rev (2011) 11:155–176.
[76] Panzieri, S., Setola, R., & Ulivi, G. (2004, October). An agent based simulator for critical interdependent infrastructures. In Proceedings of the 2nd International Conference on Critical Infrastructures (pp. 24-27).
[77] Parker, D.C. & Meretsky, V. (2004). Measuring pattern outcomes in an agent-based model of edge effect externalities using spatial metrics. Agriculture Ecosystems and Environment 101, 233–250.
[78] Porter, D.R. (Ed.) (1986). Growth Management. The Urban Land Institute.
[79] Reynolds, C.W. (1987). Flocks, herds, and schools: a distributed behavioral model. Computer Graphics 21 (4), 25–34.
[80] Rindfuss, R., Entwistle, B., Walsh,S.J., An, L., Brown, D.G., Deadman, P.,et al.,(2008).Land use change: Complexity and comparisons. Journal of Land Use Science 3 (1), 1–10.
[81] Rinaldi, S., Peerenboom, J., and Kelly, T. (2001). Identifying, Understanding and Analyzing Critical Infrastructure Interdependencies, IEEE Control Systems Magazine, December, 11-25.
[82] Sanford, M. & Newman, M. (2002) “Complex Systems Theory and Evolution," In Encyclopedia of Evolution, ed. Pagel, M. (Oxford University Press).
[83] Sanford Bernhardt, K. L. (2004). “An agent-based framework for modeling civil infrastructure systems management.” Proc., Information Technology in Civil Engineering Symp., ASCE, Baltimore.
[84] Sanford Bernhardt, K. L., & McNeil, S. (2004). An agent-based approach to modeling the behavior of civil infrastructure systems. In Presentation at Engineering Systems Symposium. MIT.
[85] Sanford Bernhardt, K. L., & McNeil, S. (2008). Agent-Based Modeling: Approach for Improving Infrastructure Management. Journal Of Infrastructure Systems, 14:253-261.
[86] Sakoda, J.M. (1971). The checkerboard model of social interaction. J Math Sociol 1: 119–132.
[87] Saunders, R., & Gero, J. S. (2004). Curious agents and situated design evaluations.AI EDAM,18 (2), 153-161.
[88] Schelling T.C. (1978). Micromotives and Macrobehavior. Norton: New York.
[89] Stead, D. (2008). Institutional aspects of integrating transport, environment and health policies, Transport Policy, 15, pp. 139–148.
[90] Siddique, K. (Ed.). (1994) Local government in Bangladesh.Dhaka: University Press Limited.
[91] Sohail, M., Asce, M., Cavill, S., & Cotton, A. P. (2005). Sustainable Operation and Maintenance of Urban Infrastructure: Myth or Reality?, (March), 39–49.
[92] Sözüer, M. & Spang, K. (2012). Challenges in the Planning Process of Infrastructure Projects in Germany. Construction Research Congress 2012: pp. 2369-2378. doi:10.1061/9780784412329.238.
[93] Tian, J. & Tianfield, H. (2006). "Literature Review Upon Multi-Agent Supply Chain Management," Machine Learning and Cybernetics, 2006 International Conference on, vol., no., pp.89, 94, 13-16. doi: 10.1109/ICMLC.2006.258877.
[94] Tillman, D., Larsen, D., Pahl-Wostl, C., & Gujer, W. ( 1999). Modeling the actors in water supply systems, Water Science and Technology 39, 203–211.
[95] Tornberg, P. (2012). Committed to Coordination?: how different forms of commitment complicate the coordination of national and urban planning. Planning Theory & Practice, 13(1), 27-45.
[96] Weisbuch, G. (1991). Complex Systems Dynamics: An Introduction to Automata Networks (translated from French by S. Ryckebusch), Addison-Wesley: Redwood City, CA.
[97] Wolfram, S. (2002). A New Kind of Science. Wolfram Media, Inc, Champaign, IL.
[98] Wooldridge, M. (2002). Introduction to MultiAgent Systems, Wiley.
[99] Wooldridge, M. & Jennings, N.R. (1995). Intelligent agents: theory and practice, Knowledge Engineering Review, 10 (2), pp. 115-152.
[100] World Bank (1994). WDR 1994: Infrastructure for Development. World Bank and Oxford University Press. ISBN: 978-0-19-520992-1, DOI: 10.1596/978-0-19-520992-1.
[101] Wu, W. (1999). Reforming China’s institutional environment for urban infrastructure provision. Urban Studies, Vol. 36, 2263–2282.
[102] Yerra, B. M. & Levinson, D. M. (2005). The emergence of hierarchy in transportation networks. Ann. Reg. Sci., 39_3_, 541–553.
[103] Yazdani, S., Dola, K., Azizi, M. M., & Yusof, J. M. (2015). Challenges of Coordination in Provision of Urban Infrastructure for New Residential Areas: The Iranian Experience. Environmental Management and Sustainable Development, 4(1), 48-72.
[104] Zechman, E. ( 2011). Agent-based modeling to simulate contamination events and evaluate threat management strategies in water distribution systems, Risk Analysis 31 (2011) 758–772.
600 ATLANTIC AVE, BOSTON,
MA 02210, USA
+001-6179630233
AIS is an academia-oriented and non-commercial institute aiming at providing users with a way to quickly and easily get the academic and scientific information.
Copyright © 2014 - American Institute of Science except certain content provided by third parties.