Identification of vulnerable areas in municipal corporation of Greater Mumbai due to extreme events based on socio economic indicators

Indian Journal of Marine Sciences

Volumn 42, Issue 7, 2013, Pages 907-914

  Abhyankar, Abhijat Arun ^a   Paliwal, Mukta ^b   Patwardhan, Anand ^c   Inamdar, Arun B ^c  

^a NICMAR University   (India)

^b INDIAN INSTITUTE OF TECHNOLOGY   (India)

^c INDIAN INSTITUTE OF TECHNOLOGY BOMBAY   (India)

Author keywords

Exposure; Hierarchical Cluster; Municipal Corporation; Relief capacity; Socio economic indicators

Indexed keywords

CLUSTER ANALYSIS; ENVIRONMENTAL FACTOR; ENVIRONMENTAL POLICY; EXTREME EVENT; POPULATION DENSITY; SOCIOECONOMIC CONDITIONS; SUBURBAN AREA; COASTAL ZONE MANAGEMENT; ENVIRONMENTAL ISSUE; HAZARD ASSESSMENT; IDENTIFICATION METHOD; POLICY DEVELOPMENT; PORT; RELIEF; SOCIOECONOMIC INDICATOR; VULNERABILITY;

INDIA; MAHARASHTRA; MUMBAI;

EID: 84890343722     PISSN: 03795136     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (12)

1. Abhyankar A, Singh A, Sharma U, Patwardhan A. and Inamdar, A, Constructing a tropical cyclone hazard index for coastal India, International Symposium on Natural Hazards, Hyderabad, February 24-28 (2004).
2. Hallegatte S, Coastal Cities, Climate Change Vulnerability and Adaptation, OECD Project led by Jan Corfee Morgot, www.oecd.org/dataoecd/31/34/44104953.pdf (last accessed on June 8, 2012).
3. UNDP-Bureau for Crisis Prevention and Recovery, Reducing Disaster Risk: A challenge for Development, UNDP, 2004 (last accessed on July 2, 2012)
4. MCGM, Statistics on Mumbai, Municipal Corporation of Greater Mumbai, available at http://www.mcgm.gov.in (last accessed on June 5, 2012), 2007.
5. http://mhupa.gov.in/W_new/Mumbai%20HDR%20Complete.pdf (last accessed on June 2, 2012).
6. Sharma U and Patwardhan A, Methodology for identifying vulnerability hotspots to tropical cyclone hazard in India, Mitigation and Adaptation Strategies for Global Change, 13, (7) (2008), 703-717.
7. Goyat, S, The basis of market segmentation: a critical review of literature, European Journal of Business and Management, 3(9), pg 45, 2011.
8. Vincken, K, Koster, A. and Viergever, M.: Probabilistic multiscale image segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(2), pp. 109-120, (1997).
9. D.J. Witherspoon, S. Wooding, A.R. Rogers, E.E. Marchani, W.S. Watkins, M.A. Batzer and L.B. Jorde, Genetic Similarities Within and Between Human Populations (2007) by Genetics, 176(1), 351-359.
10. Kaufman, Leonard Peter J. Rousseeuw, 1990: Finding Groups in Data: An Introduction to Cluster Analysis, New York: John Wiley and Sons.
11. Aldenderfer M.S. and Blashfield, R. K, Cluster Analysis, Volume 07-044, 10th SAGE Publications Ltd, London, 1984.
12. Everitt, B. S, Landau, S. and Leese, M. Cluster analysis, Arnold, London, 2001.