Modeling of spatiotemporal distribution of urban population at high resolution - Value for risk assessment and emergency management

Lecture Notes in Geoinformation and Cartography

Volumn 0, Issue , 2010, Pages 53-67

  Freire, Sérgio ^a  

^a UNIVERSIDADE NOVA DE LISBOA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

CIVIL DEFENSE; DISASTERS; HOUSING; POPULATION DISTRIBUTION; POPULATION STATISTICS; RISK ANALYSIS; RISK MANAGEMENT; SURVEYS;

CENSUS DATA; EMERGENCY MANAGEMENT; HIGH RESOLUTION; HUMAN ACTIVITIES; LOCAL SCALE; METROPOLITAN AREA; PORTUGAL; RISKS ASSESSMENTS; SPATIOTEMPORAL DISTRIBUTIONS; URBAN POPULATION;

RISK ASSESSMENT;

EID: 85037348855     PISSN: 18632246     EISSN: 18632351     Source Type: Book Series    
DOI: 10.1007/978-3-642-03442-8_4     Document Type: Conference Paper

References (26)

1. Alçada-Almeida L, Tralhão L, Santos L, Coutinho-Rodrigues J (2009) A multiobjective approach to locate emergency shelters and identify evacuation routes in urban areas. Geogr Anal 41:9–29.
2. Balk DL, Deichmann U, Yetman G, Pozzi F, Hay SI, Nelson A (2006) Global mapping of infectious diseases: methods, examples and emerging applications. In: Hay SI, Graham AJ, Rogers DJ (eds.) Advances in Parasitology, vol. 62. Academic Press, London, pp. 119–156.
3. Bhaduri B, Bright E, Coleman P, Dobson J (2002) LandScan: Locating people is what matters. Geoinformatics 5(2):34–37.
4. Birkmann J (2007) Risk and vulnerability indicators at different scales: Applicability, usefulness and policy implications. Environ Hazards 7:20–31.
5. Chen K, McAneney J, Blong R, Leigh R, Hunter L, Magill C (2004) Defining area at risk and its effect in catastrophe loss estimation: A dasymetric mapping approach. Appl Geogr 24:97–111.
6. Cutter S (2003) GI science, disasters, and emergency management. Transactions in GIS 7(4):439–445.
7. Dobson JE (2002) War is god’s way of teaching GIS. Proceedings of the Merrill Conference on Science at a Time of National Emergency (http://www.merrill.ku.edu/publications/2002whitepaper/dobson.html).
8. Dobson JE (2003) Estimating populations at risk. In: Cutter SL, Douglas BR, Wilbanks TJ (eds.) Chapter 5.5 in Geographical Dimensions of Terrorism. Routledge, New York and London, pp. 161–167.
9. Dobson JE (2007) In harm’s way: Estimating populations at risk. technical paper in NRC [National Research Council]. Tools and Methods for Estimating Populations at Risk from Natural Disasters and Complex Humanitarian Crises. National Academy Press, Washington, DC, pp. 161–166.
10. Dobson JE, Bright EA, Coleman PR, Durfee RC, Worley BA (2000) A global population database for estimating population at risk. Photogramm Eng Remote Sensing 66(7):849–857.
11. Eicher CL, Brewer CA (2001) Dasymetric mapping and areal interpolation: Implementation and evaluation. Cartogr Geogr Inf Sci 28:125–138.
12. FEMA (2004) Using HAZUS-MH for Risk Assessment. Technical Manual, FEMA 433. Washington, DC: Federal Emergency Management Agency. Available at www.fema.gov/HAZUS.
13. Fisher PF, Langford M (1996) Modeling sensitivity to accuracy in classified imagery: A study of areal interpolation by dasymetric mapping. Prof Geogr 48:299–309.
14. Goldewijk K, Battjes JJ (1997) A hundred year (1890–1990) database for integrated environmental assessments (HYDE, version 1.1). Report no. 422514002, National Institute of Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
15. INE (Instituto Nacional de Estatística) (2001) Recenseamento Geral da População e da Habitação. Lisboa.
16. INE (Instituto Nacional de Estatística) (2003) Movimentos Pendulares e Organização do Território Metropolitano: Área Metropolitana de Lisboa e Área Metropolitana do Porto 1991–2001. Lisboa.
17. A Lerner-Lam (2007) Assessing global exposure to natural hazards: progress and future trends. Environ Hazards 7:10–19.
18. McPherson TN, Brown MJ (2003) Estimating daytime and nighttime population distributions in U.S. cities for emergency response activities. Preprints: 84th AMS Annual Meeting, AMS, Seattle, WA, 10 pp.
19. NRC (National Research Council) (2007) Tools and methods for estimating populations at risk from natural disasters and complex humanitarian crises. Report by the National Academy of Sciences, National Academy Press, Washington, DC, 264 pp.
20. Oliveira CS, Mota de Sá F, Ferreira MA (2005) Application of two different vulnerability methodologies to assess seismic scenarios in Lisbon. Proceedings of the 250th Anniversary of the 1755 Lisbon Earthquake. November 1–4, Lisbon, Portugal.
21. Pelling M (2004) Visions of risk: a review of international indicators of disaster risk and its management. UNDP Bureau for Crisis Prevention and Recovery, Geneva.
22. Sutton P, Elvidge C, Obremski T (2003) Building and evaluating models to estimate ambient population density. Photogramm Eng Remote Sensing 69(5):545–553.
23. Tobler WR (1979) Smooth pycnophylactic interpolation for geographical regions. J Am Stat Assoc 74(367):530–535.
24. Tobler WR, Deichmann U, Gottsegen J, Maloy K (1995) The Global Demography Project. (Technical Report No. 95-6). National Center for Geographic Information and Analysis. UCSB. Santa Barbara, CA, 75 pp.
25. UNDP (United Nations Development Program) (2004) Reducing Disaster Risk: A Challenge for Development. UNDP Bureau for Crisis Prevention and Recovery, New York, 146 pp.
26. Wu SS, Qiu X, Wang L (2005) Population estimation methods in GIS and remote sensing: a review. GISci Remote Sensing 42:80–96.