DISCUSS D ECISION I NFORMATION S YSTEM FOR C OMMUNITY U NDERSTANDING OF S PATIAL S cenarios Land...
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Transcript of DISCUSS D ECISION I NFORMATION S YSTEM FOR C OMMUNITY U NDERSTANDING OF S PATIAL S cenarios Land...
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
Centre for SDIs and Land Administration
Department Of GeomaticsUniversity of Melbourne
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Land Victoria seminar
October 28th, 2004
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Benefits resulting directly from Option 1 (PV = 4%)
Water savings (@$70/ML/year) 57.1
Commercial land use (based on agriculture) 1.8
Savings in cost of water treatment in Shepparton 1.3
Current management and operation costs avoided 12.5
Total quantified benefits 78.6
Loss of net economic value of recreation activities 4.3
Capital costs of works 13.5
Wetland establishment costs 0.2
Buffer establishment costs 0.7
Wetland and buffer maintenance costs 0.4
Total quantified costs 75.7
Net Present value 2.92.9
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Option or scenario 2
NPV = -1.3 Millions
IRR = 1.3%
Option or scenario 1
NPV = 2.3 Millions
IRR = 12%
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
What regions are the beneficiaries?
Who is going to be affected?
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Research Problem
The lack of a spatial dimension in Cost-Benefit Analysis limits the ability to make policy decisions
Research Objective
To develop a method and associated tools to incorporate a spatial dimension into the policy making process
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Why we want a spatial dimension?
•To better understand the effects of the project
•To allow public participation
•To generate more indicators for decision-making (NVP/population) and support not only economic factors
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
DISCUSS:
•Analysis follows CBA
•It is not a technical system producing a final results
•The main objective is to identify effects and regions where discrepancies between stakeholders exist
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
DISCUSS:
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Option 1Return to Winton Swamp
Low Disagreement
High Disagreement
Result Stakeholders (excluding government official)
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Option 1Return to Winton Swamp
Result Stakeholders (excluding government official)
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Option 1Return to Winton Swamp
Negative Effect
Positive effect
Result Stakeholders (excluding government official)
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Option 1Return to Winton Swamp
NPV = 2.3 MillionsIRR = 12%
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Option 1Return to Winton Swamp
NPV = 2.3 Millions
Option 4Revised operating rules for Lake Mokoan
NPV = -21.4 Millions
DDECISION IINFORMATION SSYSTEM FOR CCOMMUNITY UUNDERSTANDING OF SSPATIAL SScenarios
Land VictoriaDANIEL PAEZ
PhD CandidateCentre for SDIs and Land Administration
Supervisors
Professor Ian Williamson
Professor Ian Bishop
Option 1Return to Winton Swamp
NPV = 2.3 Millions
Option 4Revised operating rules for Lake Mokoan
NPV = -21.4 Millions