Where are the urban poor? The spatial distribution pattern of urban poverty

Nouri, M.J.; Zebardast, E.

doi:10.22034/IJHCUM.2021.03.08

Document Type : ORIGINAL RESEARCH ARTICLE

Authors

School of Urban Planning, University of Tehran, Tehran, Iran

https://doi.org/10.22034/IJHCUM.2021.03.08

Abstract

BACKGROUND AND OBJECTIVES: One of the issues that have been evident in previous researches on urban poverty is the existence of a methodological gap in identifying spatial representation of urban poverty. This paper suggests a methodology for identifying the spatial representation of urban poverty and applies it to Isfahan Metropolis in Iran.
METHODS:A hybrid model of exploratory factor analysis and analytical network process was used with urban poverty indicators. Using the model, the compiled database consisted of 27 indicators with 12196 specific data per indicator was analyzed to determine the domains of urban poverty and relational importance coefficient of each indicator. A composite index of urban poverty was then constructed to evaluate urban poverty in each urban block. Also, the autocorrelation test and cluster and outlier analysis were used to find the spatial distribution pattern and concentrations of urban poverty in the metropolis.
FINDING: Seven domains of urban poverty in Isfahan metropolis were extracted which cumulatively explain about 57.3 percent of the data variance including “general poverty (13.25%), crowdedness in the housing unit (10.09%), economic poverty (9.462%), intrinsic poverty (8.23%), infrastructure poverty (6.243%), migrant’s poverty (5.276%) and unhealthy living condition (4.173%). Classifying urban blocks based on the composite index has shown that 9.8% of the population and 15.7% of urban blocks had the highest poverty rate. The autocorrelation test (Moran’s index=0.459; p-value=0.000) has indicated that urban poverty was clustered. Using Cluster and outlier analysis, it was determined that 70% of urban poverty concentrations were located in suburbs and peripheral districts.
CONCLUSION: Urban policymakers can adopt relevant policies in relation to various types of urban poverty identified in metropolises and determine policy priorities based on the weight calculated for each indicator. They can also suggest policies at the macro-micro levels using the urban poverty distribution pattern and concentration map.

Keywords

Main Subjects

Urban architecture, design, development and planning

COPYRIGHTS
©2021 The author(s). This is an open access article distributed under the terms of the Creative Commons Attribution (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, as long as the original authors and source are cited. No permission is required from the authors or the publishers.

References

Alkire, S.; Conconi, A.; Seth, S., (2014). Multidimensional poverty index 2014: brief methodological note and results. University of oxford, department of international development, oxford poverty and human development initiative, oxford, UK.

Alkire, S.; Santos, M.E., (2010). Acute multidimensional poverty: a new index for developing countries. United Nations development program human development report office background paper (2010/11).

Armaş, I., (2012). Multi-criteria vulnerability analysis to earthquake hazard of Bucharest, Romania. Nat. Hazard, 63(2): 1129-1156 (28 pages).

Anderson, M.W., (2007). Cities inside out: Race, poverty, and exclusion at the urban fringe. UCLAL. Rev., 55: 1095.

Atlas of Isfahan Metropolis (2017). Municipality of Isfahan Metropolis.

Azpitarte, F., (2012). Social exclusion monitor bulletin April 2012.

Berube, A.; Kneebone, E., (2006). Two steps back: city and suburban poverty trends 1999I2005. Washington, DC: The Brookings Institution.

Bjarnadottir, S.; Li, Y.; Stewart, M.G., (2011). Social vulnerability index for coastal communities at risk to hurricane hazard and a changing climate. Nat. hazards. 59(2): 1055-1075 (21 pages).

Borden, K.A.; Schmidtlein, M.C.; Emrich, C.T.; Piegorsch, W.W.; Cutter, S.L., (2007). Vulnerability of US cities to environmental hazards. J. Homeland Secur. Emerg., 4(2): 1-21 (21 pages).

Chakraborty, J.; Tobin, G.A.; Montz, B.E., (2005). Population evacuation: assessing spatial variability in geophysical risk and social vulnerability to natural hazards. Nat. Hazards. Rev., 6(1): 23-33 (11 pages).

Cooke, T. J., (2010). Residential mobility of the poor and the growth of poverty in inner-ring suburbs. Urban. Geogr., 31(2): 179-193 (15 pages).

Crowder, P.A., (2014). (Sub) Urban poverty and regional interest convergence. Marq. L. Rev., 98(2): 763-830 (68 pages).

Cutter, S.L.; Boruff, B.J.; Shirley, W.L., (2003). Social vulnerability to environmental hazards. Soc. Sci. Q., 84(2): 242-261 (20 pages).

De Oliveira Mendes, J.M., (2009). Social vulnerability indexes as planning tools: beyond the preparedness paradigm. J. Risk. RES., 12(1): 43-58 (16 pages).

Esnard, A.M.; Sapat, A.; Mitsova, D., (2011). An index of relative displacement risk to hurricanes. Nat. Hazards., 59(2): 833-859 (27 pages).

Finch, C.; Emrich, C.T.; Cutter, S.L., (2010). Disaster disparities and differential recovery in New Orleans. Popul. Environ., 31(4): 179-202 (24 pages).

Flanagan, B.E.; Gregory, E.W.; Hallisey, E.J.; Heitgerd, J.L.; Lewis, B., (2011). A social vulnerability index for disaster management. J. Homland Secur. Emerg., 8(1): 1-22 (22 pages).

Guimarães, T., (2013). An integrated analytical tool for exploring the links between job accessibility and social exclusion. Paper presented at the XIII World Conference on Transport Research, XIII World Conference on Transport Research (Río de Janeiro).

Joassart-Marcelli, P.M.; Musso, J.A.; Wolch, J.R., (2005). Fiscal consequences of concentrated poverty in a metropolitan region. Ann. Assoc. Am. Geogr., 95(2): 336-356 (21 pages).

Kaiser, HF., (1960). The application of electronic computers to factor analysis. Educ. Psychol. Measur., 20(1):141–151 (11 pages).

Khan, S., (2012). Vulnerability assessments and their planning implications: a case study of the Hutt Valley, New Zealand. Nat. Hazards, 64(2): 1587-1607 (21 pages).

Kinfu, E.; Bombeck, H.; Nigussie, A., (2018). Africa’s Urbanization and Emerging Settlement Forms: Implications to Urban Planning.

Kis, A.; Gábos, A., (2016). Consistent poverty across the EU. Corvinus J. Sociol. Soc. Policy , 7 (2): 3-27 (25 pages).‏

Labonté, R.N.; Hadi, A.; Kauffmann, X.E., (2011). Indicators of social exclusion and Inclusion: A critical and comparative analysis of the literature. Population health improvement research network.

Lee, Y.J., (2014). Social vulnerability indicators as a sustainable planning tool. Environ. Impact Assess. Rev., 44: 31-42 (12 pages).

Lemanski, C., (2016). Poverty: multiple perspectives and strategies. Geography, 101(1): 4-10 (7 pages).

Lok-Dessallien, R., (1999). Review of poverty concepts and indicators. UNDP.

Martínez, J., (2009). The use of GIS and indicators to monitor intra-urban inequalities. A case study in Rosario, Argentina. Habitat Int., 33(4): 387-396 (10 pages).

Menoni, S.; Molinari, D.; Parker, D.; Ballio, F.; Tapsell, S., (2012). Assessing multifaceted vulnerability and resilience in order to design risk-mitigation strategies. Nat. Hazards., 64(3): 2057-2082 (26 pages).

Myck, M.; Oczkowska, M.; Duda, D., (2015). Innovations for better understanding deprivation and social exclusion. In: F. Malter, and A. Börsch-Supan (Eds.), SHARE Wave 5: Innovations and Methodology. Munich: Munich Center for the Economics of Aging (MEA): 29-36 (8 pages).

Myers, C.A.; Slack, T.; Singelmann, J., (2008). Social vulnerability and migration in the wake of disaster: the case of Hurricanes Katrina and Rita. Popul. Environ., 29(6): 271-291 (21 pages).

Nelson, J.; Grubesic, T.; Sim, L.; Rose, K.; Graham, J., (2015). Approach for assessing coastal vulnerability to oil spills for prevention and readiness using GIS and the Blowout and Spill Occurrence Model. Ocean. Coast. Manage., 112: 1-11 (11 pages).

Niemietz, K.P., (2011). A new understanding of poverty. Institute of Economic Affairs Monographs (65).

Popay, J.; Escorel, S.; Hernandez, M.; Johnston, H.; Mathieson J, Rispel L., (2010). On behalf of the WHO social exclusion knowledge network .2008. Understanding and tackling social exclusion: Final report of the social exclusion knowledge network of the commission on social determinants of health. Geneva: World Health Organization.

Ravallion, M.; Chen, S.; Sangraula, P., (2007). New evidence on the urbanization of global poverty. Popul. Dev. Rev., 33(4): 667-701 (35 pages).

Schmidtlein, M.C.; Deutsch, R.C.; Piegorsch, W.W.; Cutter, S.L., (2008). A sensitivity analysis of the social vulnerability index. Risk. Anal., 28(4): 1099-1114 (16 pages).

SCI: Statistic Center of Iran, (2016). Population and Housing census.

Tate, E., (2013). Uncertainty analysis for a social vulnerability index. Ann. Assoc. Am. GEOGR., 103(3): 526-543 (18 pages).

Teitz, M.B.; Chapple, K., (2013). Planning and poverty: An uneasy relationship. Policy, Planning, and People: Promoting justice in urban development, 205-223 (19 pages).

United Nations Department of Economic and Social Affairs, (2007). Indicators of sustainable development: guidelines and methodologies: United Nations Publications.

United Nations, Department of Economic and Social Affairs, Population Division, (2015). World urbanization prospects: The 2014 revision (ST/ESA/SER.A/420). New York: United Nations.

Van Zandt, S.; Peacock, W.G.; Henry, D. W.; Grover, H.; Highfield, W. E.; Brody, S. D., (2012). Mapping social vulnerability to enhance housing and neighborhood resilience. Hous. Policy Debate, 22(1): 29-55 (27 pages).

Watson, V., (2009). ‘The planned city sweeps the poor away…’: Urban planning and 21st century urbanization. Prog. Plann., 72(3): 151-193 (43 pages).

Wilson, W.J., (1987). The truly disadvantaged. Chicago: University of Chicago Press.

Wood, N. J.; Burton, C. G.; Cutter, S. L., (2010). Community variations in social vulnerability to Cascadia-related tsunamis in the US Pacific Northwest. Nat. Hazards., 52(2): 369-389 (21 pages).

Wratten, E., (1995). Conceptualizing urban poverty. Environ. Urban., 7(1): 11-38 (28 pages).

Zebardast, E., (2013). Constructing a social vulnerability index to earthquake hazards using a hybrid factor analysis and analytic network process (F’ANP) model. Nat. Hazards., 65(3): 1331-1359 (29 pages).

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International Journal of Human Capital in Urban Management

Where are the urban poor? The spatial distribution pattern of urban poverty

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Volume 6, Issue 3 - Serial Number 23
July 2021
Pages 305-322

Where are the urban poor? The spatial distribution pattern of urban poverty

References

References

Send comment about this article

Volume 6, Issue 3 - Serial Number 23July 2021Pages 305-322

Volume 6, Issue 3 - Serial Number 23
July 2021
Pages 305-322