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Global Report on Human Settlements 2007 - PoA-ISS

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286<br />

Towards safer and more secure cities<br />

Cost-benefit<br />

analysis offers a<br />

methodology to help<br />

determine the<br />

optimum allocati<strong>on</strong><br />

of resources to<br />

reduce disaster risk<br />

Disaster risk is …<br />

not included in the<br />

majority of<br />

evaluati<strong>on</strong>s for<br />

urban planning<br />

decisi<strong>on</strong>s<br />

being. There is a wide variety of cost–benefit tools and these<br />

are frequently applied in decisi<strong>on</strong>-making in urban infrastructure<br />

development. Most methodologies include a<br />

three-stage process. First, the costs and benefits of an investment<br />

are identified. If a quantitative methodology is used, a<br />

comm<strong>on</strong> metric and numerical value must be assigned to<br />

each cost and benefit. Sec<strong>on</strong>d, future costs and benefits are<br />

discounted to allow for the comparis<strong>on</strong> of future and current<br />

values. Third, a decisi<strong>on</strong> criteri<strong>on</strong> is applied to determine<br />

which is greater, the costs or benefits of a proposed investment.<br />

Recent efforts have applied the cost–benefit analysis<br />

approach to measure the pros and c<strong>on</strong>s of land-use decisi<strong>on</strong>s<br />

and the relative merits of investing in hazard mitigati<strong>on</strong>.<br />

Despite some growing evidence of the utility of<br />

cost–benefit analysis as an aid to land-use decisi<strong>on</strong>-making<br />

for risk reducti<strong>on</strong>, it is still not routinely used to determine<br />

the comparative advantage of investing in disaster preventi<strong>on</strong>,<br />

preparedness and mitigati<strong>on</strong> infrastructure<br />

investments. Cost-benefit analysis offers a methodology to<br />

help determine the optimum allocati<strong>on</strong> of resources to<br />

reduce disaster risk. Where cost–benefit analysis has been<br />

undertaken, there is now a growing body of evidence to<br />

show empirically the cost effectiveness of investing in risk<br />

reducti<strong>on</strong>. For example, a comparis<strong>on</strong> of different disaster<br />

preventi<strong>on</strong> measures undertaken against floods and volcanic<br />

hazard in the Philippines calculated benefits of between 3.5<br />

and 30 times the project costs. 22 The Philippines case is<br />

based <strong>on</strong>ly <strong>on</strong> direct losses. Box 12.7 presents additi<strong>on</strong>al<br />

measures of the benefit of proactive investment in risk<br />

reducti<strong>on</strong>, which have been calculated using a range of<br />

cost–benefit methodologies.<br />

Disaster risk is similarly not included in the majority<br />

of evaluati<strong>on</strong>s for urban planning decisi<strong>on</strong>s. 23 This increases<br />

the chance of projects being damaged or destroyed by<br />

natural and human-made hazards. Where investment funds<br />

have to be borrowed internati<strong>on</strong>ally, this increases debt<br />

Box 12.7 Revealing the advantages of disaster risk reducti<strong>on</strong><br />

through cost–benefit analysis<br />

The World Bank and US Geological Survey calculated that ec<strong>on</strong>omic losses worldwide from<br />

disasters during the 1990s could have been reduced by US$20 billi<strong>on</strong> if US$40 milli<strong>on</strong> had been<br />

invested in mitigati<strong>on</strong> and preparedness.<br />

In China, investments of US$3.15 billi<strong>on</strong> in flood c<strong>on</strong>trol measures over 40 years are<br />

believed to have averted potential losses of US$12 billi<strong>on</strong>.<br />

In Viet Nam, 12,000 hectares of mangroves planted by the Red Cross to protect 110<br />

kilometres of sea dikes costs US$1.1 milli<strong>on</strong>, but has reduced the costs of dike maintenance by<br />

US$7.3 milli<strong>on</strong> per year, in additi<strong>on</strong> to protecting 7750 families living behind the dikes.<br />

A study <strong>on</strong> Jamaica and Dominica calculated that the potential avoided losses compared<br />

with the costs of mitigati<strong>on</strong> when building infrastructure, such as ports and schools, would have<br />

been between two and four times. For example, a year after c<strong>on</strong>structing a deepwater port in<br />

Dominica, Hurricane David, in 1979, necessitated rec<strong>on</strong>structi<strong>on</strong> costs equivalent to 41 per cent<br />

of the original investment; while building the port to a standard that could resist such a hurricane<br />

would have increased basic costs by <strong>on</strong>ly about 12 per cent.<br />

In Darbhanga district in North Bihar (India), a cost–benefit analysis of disaster mitigati<strong>on</strong><br />

and preparedness interventi<strong>on</strong>s suggests that for every Indian rupee spent, 3.76 rupees of<br />

benefits were realized.<br />

Source: DFID, 2005<br />

while running the risk of losing the investment. The scale of<br />

this problem is seen in the increasing number of disaster<br />

rec<strong>on</strong>structi<strong>on</strong> projects that internati<strong>on</strong>al development<br />

banks, and mainly the World Bank, have supported during<br />

the last two decades. It is hoped that increasing the awareness<br />

of disaster risk through tools such as cost–benefit<br />

analysis will prevent rec<strong>on</strong>structi<strong>on</strong> investments from also<br />

becoming subject to disaster. The need to adapt to climate<br />

change places additi<strong>on</strong>al pressure <strong>on</strong> the necessity of<br />

integrating disaster risk within development planning<br />

decisi<strong>on</strong>-making.<br />

The variable frequency and severity of natural and<br />

technological hazard events and any associated human<br />

disasters present a challenge to cost–benefit analysis,<br />

although a number of statistical methods can be employed<br />

to measure the uncertainty that this brings to calculati<strong>on</strong>s.<br />

24 Cost-benefit analysis is further c<strong>on</strong>strained by the<br />

need to reduce inputs to a comm<strong>on</strong> metric that usually<br />

requires putting a m<strong>on</strong>etary value <strong>on</strong> all costs and benefits,<br />

including human life and injuries. This is a challenge for any<br />

comparative assessments between places with different<br />

land uses – for example, in attempting to measure relative<br />

returns from an investment that increases security in a<br />

business district or a low-income housing area. The former<br />

land use will have far higher ec<strong>on</strong>omic value; but the latter<br />

provides life-support services, some of which (shelter and<br />

access to basic services) can be quantified in ec<strong>on</strong>omic<br />

terms, as well as social and ecological services (a sense of<br />

identity and community) that cannot be easily represented.<br />

More generally, methods for deriving values for human life,<br />

and also for other intangibles such as envir<strong>on</strong>mental quality<br />

or women’s empowerment, are hotly c<strong>on</strong>tested. One<br />

approach is to ask people how much they are willing to pay<br />

to protect a certain asset, or how much they would be<br />

willing to receive in compensati<strong>on</strong> if an asset was lost. The<br />

latter methodology routinely provides values an order of<br />

magnitude higher. This serves to indicate the vulnerability<br />

of cost–benefit analysis to manipulati<strong>on</strong> or misinterpretati<strong>on</strong>.<br />

Part of the soluti<strong>on</strong> to this is not to use cost–benefit<br />

analysis as a stand-al<strong>on</strong>e tool to determine decisi<strong>on</strong>s, but<br />

rather to provide supporting evidence for decisi<strong>on</strong>-making<br />

al<strong>on</strong>gside other n<strong>on</strong>-ec<strong>on</strong>omic inputs. 25<br />

Instituti<strong>on</strong>al reform<br />

Appropriate instituti<strong>on</strong>al arrangements define the relati<strong>on</strong>ships,<br />

resp<strong>on</strong>sibilities and power of stakeholders in disaster<br />

and its management. The movement from managing risk<br />

through emergency relief and resp<strong>on</strong>se towards a more<br />

proactive pre-disaster orientati<strong>on</strong> requires instituti<strong>on</strong>al<br />

change. Development actors are better placed and have<br />

more appropriate skills than emergency resp<strong>on</strong>se experts in<br />

achieving disaster risk reducti<strong>on</strong>. <strong>Human</strong>itarian actors and<br />

those involved in disaster rec<strong>on</strong>structi<strong>on</strong> also need to<br />

integrate development planning within their work. These<br />

two shifts require a change in the distributi<strong>on</strong> of resp<strong>on</strong>sibilities<br />

for risk management. This is likely to be accompanied<br />

by adjustments in budgets and in policy. Instituti<strong>on</strong>al<br />

arrangements can help in co-coordinating such changes

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