20
D DECISION I INFORMATION S SYSTEM FOR C COMMUNITY U UNDERSTANDING OF S SPATIAL S Scenarios Land Victoria DANIEL PAEZ Centre for SDIs and Land Administration Department Of Geomatics University of Melbourne Supervisors Professor Ian Williamson Professor Ian Bishop Land Victoria seminar October 28 th , 2004

DISCUSS D ECISION I NFORMATION S YSTEM FOR C OMMUNITY U NDERSTANDING OF S PATIAL S cenarios Land Victoria DANIEL PAEZ Centre for SDIs and Land Administration

  • View
    218

  • Download
    0

Embed Size (px)

Citation preview

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