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Disaster risk: Conditions, trends and impacts177preparedness <strong>of</strong> individual cities. This is evident whencomparing <strong>the</strong> contrasting cases <strong>of</strong> Kobe (Japan) (hit by a 7.2Richter magnitude earthquake in 1995) and Marmara(Turkey) (hit by a 7.4 Richter magnitude earthquake in1999). The Kobe (or Great Hanshin) earthquake was among<strong>the</strong> worst disasters to have befallen modern Japan since itclaimed 6433 lives. The Marmara earthquake was similarlycatastrophic; but with 18,000 lives lost, was three times asdeadly as <strong>the</strong> Kobe earthquake. 17 In Kobe, strong engineeringstandards reduced losses; but a lack <strong>of</strong> planning for socialsystems to identify vulnerable groups and help in response,relief and reconstruction compounded losses. In Marmara,decades <strong>of</strong> ineffective building and planning regulationmeant many modern buildings were not adequately resistantto earthquakes, and accumulated risk translated into highhuman loss. As in Kobe, failure in social planning also underminedresponse and reconstruction. The Tangshanearthquake in China in 1976 similarly illustrates how differentialvulnerability shapes loss in different humansettlements (see Box 7.4).DISASTER IMPACTSThis section differentiates between and discusses <strong>the</strong> mainimpacts <strong>of</strong> disasters. The capacity for disaster impacts tocause knock-on consequences and additional risks throughsecondary human-made disasters and <strong>the</strong> ecological impactsin <strong>the</strong> city is also examined.Although <strong>the</strong> review <strong>of</strong> natural and human-madedisasters goes some way in indicating <strong>the</strong>ir destructivepower, it can only show tip-<strong>of</strong>-<strong>the</strong>-iceberg losses. Gaps indata and contradictory statements make comprehensiveassessment <strong>of</strong> disaster impacts difficult. Even assessments <strong>of</strong>disaster incidence, although made easier by global media, arenot easily undertaken at <strong>the</strong> global scale, where <strong>the</strong>re is nostandard system for verifying local reports.Systematic gaps in disaster data collection and presentationmean that loss is underestimated in three differentways:• Psychological and livelihood impacts are seldomrecorded, with <strong>the</strong> majority <strong>of</strong> disaster impact datafocusing on mortality and economic loss. 18• Macro-economic loss estimates cannot easily capture<strong>the</strong> secondary and knock-on consequences <strong>of</strong> disasterfor economic production and trade.• Disasters affecting small urban settlements and smallscaledisasters in large cities are <strong>of</strong>ten overlooked,despite evidence suggesting that, in aggregate, smallscaledisasters may be associated with at least as muchsuffering and loss as <strong>the</strong> large-scale disasters in citiesthat make front page news. 19At a minimum, psychological trauma, livelihood losses andlosses to productive infrastructure should be included inmeasuring <strong>the</strong> full impact <strong>of</strong> disasters.Box 7.4 The Great Tangshan earthquake, ChinaThe most destructive earthquake <strong>of</strong> <strong>the</strong> past 400 years occurred in Tangshan (China) in 1976.The magnitude 7.8 earthquake occurred in <strong>the</strong> early morning while <strong>the</strong> majority <strong>of</strong> <strong>the</strong> over1 million residents slept and lasted 14 to 16 seconds. Later in <strong>the</strong> day, <strong>the</strong> city was fur<strong>the</strong>rparalysed by an aftershock with a magnitude <strong>of</strong> 7.1. The <strong>of</strong>ficial death toll published by <strong>the</strong>Chinese government was about 240,000. More recent estimates place <strong>the</strong> total for casualties atover 0.5 million.While nearly 50 per cent <strong>of</strong> <strong>the</strong> population <strong>of</strong> <strong>the</strong> city <strong>of</strong> Tangshan died during <strong>the</strong>earthquake, <strong>the</strong> neighbouring County <strong>of</strong> Qinglong had only one death out <strong>of</strong> 470,000 residents.Scientists from <strong>the</strong> State Seismological Bureau identified six main factors that contributed to<strong>the</strong> unprecedented destructiveness <strong>of</strong> <strong>the</strong> Tangshan earthquake, including high populationdensity, existence <strong>of</strong> few earthquake-resistant buildings, occurrence <strong>of</strong> shock while people weresleeping followed by a strong aftershock later, paralysis <strong>of</strong> critical infrastructures and <strong>the</strong>geological conditions under <strong>the</strong> city. 20 Yet, <strong>the</strong> disparity between <strong>the</strong> death toll in Tangshan andQinglong cannot be accounted for by <strong>the</strong>se factors alone since both counties experiencedsimilar vulnerabilities. The divergence in <strong>the</strong> death toll between Qinglong and Tangshan comesfrom an additional seventh factor: <strong>the</strong> difference in earthquake preparedness in <strong>the</strong> two areas.Tanghsan’s over-reliance on scientific monitoring <strong>of</strong> seismic activity for nationalpreparedness partly contributed to <strong>the</strong> massive loss <strong>of</strong> life during <strong>the</strong> 1976 earthquake. Twoyears earlier, a report by <strong>the</strong> Chinese Academy <strong>of</strong> Science had advised greater preparednessand monitoring in North China. During <strong>the</strong> following two years, Qinglong County increased <strong>the</strong>number <strong>of</strong> earthquake monitoring stations and intensified public education using pamphlets,films, posters, drills and community discussions, far beyond those reported to have been undertakenin Tangshan. Qinglong’s successful disaster mitigation was a best-case outcome <strong>of</strong> <strong>the</strong>coordination between public administrators, scientists and <strong>the</strong> public.Source: Pottier et al, 2007Direct and systemic impacts <strong>of</strong> disasterDisaster impacts can be classified as ei<strong>the</strong>r direct orsystemic. Direct impacts include damages directly attributableto <strong>the</strong> disaster, including lives lost and injuries andphysical damage to infrastructure and buildings. Direct (ando<strong>the</strong>r) losses can also be caused by knock-on human-made ornatural disasters. For example, an earthquake can triggerchemical fires or liquefaction. If uncontained, direct impactscan be magnified through failures in critical infrastructureand services in <strong>the</strong> city, leading to systemic impacts such asoutbreaks <strong>of</strong> disease, social violence and lack <strong>of</strong> access toelectricity, potable water or food. For instance, a review <strong>of</strong>health service infrastructure in Latin America and <strong>the</strong>Caribbean found that around half <strong>of</strong> all hospitals are sited inhigh-risk areas. Perhaps not surprisingly, this report als<strong>of</strong>ound that over <strong>the</strong> 1980s and 1990s, 100 hospitals and 650health centres have been destroyed in disasters. This is alittle over 5 per cent <strong>of</strong> all hospitals in this region. 21 In turn,such disruptions can lead to instabilities in <strong>the</strong> politicaleconomy <strong>of</strong> <strong>the</strong> city and undermine economic development.Systemic loss can fur<strong>the</strong>r be differentiated intoindirect losses and secondary effects. Indirect losses(sometimes called flow losses) are <strong>the</strong> costs <strong>of</strong> goods thatwill not be produced and services that will not be providedbecause <strong>of</strong> a disaster. Secondary effects are generated bymacro-economic distortions. 22Urban areas are characterized by great diversity inland use as well as environmental variability (e.g. in slopeangle and direction, soil properties and land altitude). ThisGaps in data …make comprehensiveassessment <strong>of</strong>disaster impactsdifficult

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