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Geoinformation for Disaster and Risk Management - ISPRS

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Determination of the benefit of use of<br />

orthophoto data<br />

Calculated by project attribute<br />

Four project attributes were identified as potential<br />

indicators of project benefit; 1) number of direct<br />

project beneficiaries (i.e. number of families, or<br />

number of persons, that would receive a direct<br />

improvement in their current situation as a result of<br />

the completion of the project); 2) physical extent <strong>and</strong><br />

coverage of the project area; 3) in<strong>for</strong>mation on the<br />

total cost of the project, <strong>and</strong>; 4) in<strong>for</strong>mation on the<br />

duration of the project.<br />

The most incomplete <strong>and</strong> overestimated attribute<br />

was project beneficiary, with only 39% of primary<br />

users being able to provide a figure; several wildly<br />

1<br />

claiming their project benefited all the 4,031,589<br />

residents in the province of Aceh, or all of the<br />

estimated 203,998 people who were directly affected<br />

by the Tsunami. A similar response was found <strong>for</strong> the<br />

attribute concerning the physical extent of the<br />

project. The attribute <strong>for</strong> duration of project was the<br />

most comprehensibly reported upon by 91% of<br />

respondents. This attribute was initially included to<br />

ascertain if longer running projects had a greater<br />

benefit, or if there was a direct link between project<br />

duration <strong>and</strong> project cost.<br />

Finally, the attribute of project cost was selected to<br />

measure the benefit of the use of the data set as this<br />

attribute was widely reported by the respondents<br />

(87%), <strong>and</strong> could be independently confirmed by<br />

cross checking with the RAND of the BRR. When the<br />

use of the data set was deemed critical to the<br />

completion or operation of the project, then the<br />

benefit of the use of the data set was measured as<br />

the total cost of the project, Figure 4b.<br />

1: Badan Pusat Statistik (Statistics Indonesia) BPS, Sensus Penduduk<br />

Aceh Nias (Census of Residents of Aceh <strong>and</strong> Nias) SPAN 2005<br />

Figure 4: (a) Data Usage <strong>and</strong> (b) Benefit of Data Set compared to Data Set Costs<br />

Calculated by cost of equivalent in<strong>for</strong>mation from a<br />

different source<br />

If the data set was seen to be critical to the<br />

completion or operation of the project, the primary<br />

users were also asked to provide an estimated cost of<br />

retrieving the same in<strong>for</strong>mation from another<br />

source. All cost estimations were independently<br />

verified, considering local conditions, cost <strong>and</strong><br />

availability of other sources of in<strong>for</strong>mation. The total<br />

cost to provide the same in<strong>for</strong>mation as obtained<br />

from the data set was estimated to be 3.46 Million<br />

Euro. Since primary users failed to accurately report<br />

their project extent, it is not possible to make a<br />

direct area based comparison of obtaining the<br />

equivalent in<strong>for</strong>mation, <strong>and</strong> there<strong>for</strong>e cannot be<br />

compared directly to the 1.43 Million Euro cost of<br />

the orthophoto project.<br />

Conclusions<br />

This study quantified the benefit of using the case<br />

study data set by determining if the use of the data<br />

set was critical to the successful completion of a<br />

project, <strong>and</strong> then using the attribute of project cost<br />

as a measure of its benefit. The data set critically<br />

supported projects worth over 16 times its actual<br />

cost <strong>and</strong> supported projects worth over 600 times its<br />

actual cost. Over 635 further secondary users of the<br />

data set were also clearly identified. The delayed<br />

delivery of the case study data set to the recovery<br />

community meant that the data could not be used <strong>for</strong><br />

sectors of reconstruction projects that had an urgent<br />

<strong>and</strong> timely need <strong>for</strong> completion.<br />

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