Measuring Disaster Risk for Urban areas in Asia-Pacific

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Measuring Disaster Risk for Urban areas in Asia-Pacific Acknowledgement: Trevor Clifford, Intl Consultant 1

SDG 11 Make cities and human settlements inclusive, safe, resilient and sustainable 11.1: By 2030, ensure access for all to adequate, safe and affordable housing and basic services and upgrade slums 11.2: By 2030, provide access to safe, affordable, accessible and sustainable transport systems for all, improving road safety, notably by expanding public transport, with special attention to the needs of those in vulnerable situations, women, children, persons with disabilities and older persons 11.3: By 2030, enhance inclusive and sustainable urbanization and capacity for participatory, integrated and sustainable human settlement planning and management in all countries 2

SDG 11 cont d 3 11.4: Strengthen efforts to protect and safeguard the world s cultural and natural heritage 11.6: By 2030, reduce the adverse per capita environmental impact of cities, including by paying special attention to air quality and municipal and other waste management 11.A: Support positive economic, social and environmental links between urban, per-urban and rural areas by strengthening national and regional development planning 11.B: By 2020, substantially increase the number of cities and human settlements adopting and implementing integrated policies and plans towards inclusion, resource efficiency, mitigation and adaptation to climate change, resilience to disasters, and develop and implement, in line with the Sendai Framework for Disaster Risk Reduction 2015-2030, holistic disaster risk management at all levels

Urban Areas at Risk in Asia and the Pacific Urban areas in the Asia-Pacific region, are home to 48.7 per cent (more than 2.1 billion) of the 4.3 billion people in the region Approximately 60% of urban residents in the region, 742 million people, are at high to extreme disaster risk. By 2030, it is estimated that up to 980 million urban residents could be at high or extreme disaster risk. Asia-Pacific s 305 urban agglomerations, 119 are located in flood-risk coastal zones and susceptible to sealevel rise. 4

Urban Areas at Risk in Asia and the Pacific Population density Urbanization Migration Urban sprawl Spread of impervious surfaces Urban Slums Critical Infrastructures Economic Loss Disaster preparedness 5

Urban Slums SDG Indicator 11.1.1 Proportion of urban population living in slums, informal settlements or inadequate housing A slum household suffers: lack of access to improved water source, lack of access to improved sanitation facilities, lack of sufficient living area, lack of housing durability or lack of security of tenure (UN-Habitat, 2016) 6

Urban Slum Population Measurement 3 approaches reviewed Remote sensing approach Population census-based approach Community-level participatory mapping 7

urban slum populations, in thousands Region or Economies 1990 1995 2000 2005 2007 2009 2014 Asia-Pacific developing economies 370,426 402,184 422,425 433,136 432,028 431,121 439,528 East and North-East Asia 135,214 156,049 172,239 185,325 187,934 188,270 191,983 South-East Asia 68,837 72,409 73,680 70,463 68,941 70,735 72,770 South and South-West Asia 166,375 173,726 176,506 177,349 175,154 172,116 174,505 Lower-middle-income economies 221,057 231,575 235,365 232,882 228,844 226,164 225,639 Upper-middle-income economies 148,236 169,099 185,066 197,923 200,745 202,415 205,949 Source 5 - Eradicating Poverty and Promoting Prosperity in a Changing Asia-Pacific 8

Critical Infrastructure SDG Indicators 11.6.1 Proportion of urban solid waste regularly collected and with adequate final discharge out of total urban solid waste generated, by cities 6.3.1 Proportion of wastewater safely treated 9

Economic Costs ESCAP, estimated in 2016, that Urban areas in the Asia-Pacific region account for an estimated 80 per cent of regional economic output Need for guidance for disaggregated analysis E.g. focus on slums, or poverty more generally Aided by geographically-disaggregated statistics on employment, gov t revenues, locations of slums, other vulnerable districts or areas 10

natural systems, when well-managed, can reduce human vulnerability. - WB World Development Report, 2010 11