Draft Details
- Economic and Decision-making Approaches for Cl...
- CSA TS-025-2027
- Legal Notice for Draft Standards
- Preface
- + 0 Introduction
- 0.1 Background
- Figure 1 – Relationship among the CSA Railway ...
- Figure 2 – Relationship between TS-025 and oth...
- 1 Scope
- 2 Reference publications
- 3 Definitions
- + 4 Principles
- 4.1 Transparency
- 4.2 Objective and evidence-based
- 4.3 Consistency
- 4.4 Relevance
- 4.5 Proportionality
- 4.6 Systems integration
- 4.7 Accountability
- + 5 Analysis and simulation modeling to support d...
- 5.1 Purpose and role of analytical and simulati...
- 5.2 Representation of climate conditions and op...
- 5.3 System performance simulation
- 5.4 Derivation of performance metrics and impac...
- 5.5 Linkage to economic evaluation
- 5.6 Proportionality, uncertainty, and limitatio...
- + 6 Decision-making approaches
- 6.1 General
- + 6.2 Multi-criteria decision analysis
- 6.2.1 General
- 6.2.2 Assessment relative to a base case
- 6.2.3 Structure of MCDA
- 6.2.4 Weighting of criteria
- 6.2.5 Scoring of criteria
- 6.2.6 Aggregation and interpretation of results...
- 6.2.7 Documentation and transparency
- 6.2.8 Transition to economic evaluation
- + 6.3 Cost effectiveness analysis
- 6.3.1 General
- 6.3.2 Assessment relative to a base case
- 6.3.3 Definition of effectiveness measures
- 6.3.4 Cost estimation
- 6.3.5 Cost-effectiveness metrics
- 6.3.6 Comparison and interpretation of results
- 6.3.7 Treatment of uncertainty
- 6.3.8 Relationship to cost-benefit analysis
- + 6.4 Cost-benefit analysis
- 6.4.1 Purpose of CBA
- 6.4.2 Assessment relative to a base case
- 6.4.3 Identification of cost
- 6.4.4 Identification and valuation of benefits
- 6.4.5 Treatment of uncertainty
- 6.4.6 Discount rate selection
- 6.4.7 Economic performance indicators
- 6.4.8 Interpretation and use of results
- 6.4.9 Relationship to other decision-making app...
- + 6.5 Adaptation pathway
- 6.5.1 Purpose of adaptation pathways
- 6.5.2 Relationship to other decision-making app...
- 6.5.3 Structure of an adaptation pathway
- + 6.5.4 Dynamic performance metrics
- 6.5.4.1 Use of dynamic performance metrics
- 6.5.4.2 Types of dynamic performance metrics
- 6.5.4.3 Defining dynamic performance metrics
- 6.5.5 Threshold analysis and climate adaptation...
- + 6.5.6 Climate adaptation states
- 6.5.6.1 Defining climate adaptation states
- 6.5.6.2 Attributes of a climate adaptation stat...
- 6.5.6.3 Staged adaptation
- 6.5.7 Timing and sequencing of measures
- 6.5.8 Use of economic analysis within adaptatio...
- 6.5.9 Review and updating of adaptation pathway...
- + 7 Documentation and reporting
- 7.1 General documentation requirements
- 7.2 Documentation of assumptions and evidence
- + 7.3 Documentation of decision-making approaches...
- 7.3.1 Multi-criteria decision analysis (MCDA)
- 7.3.2 Cost-effectiveness analysis (CEA)
- 7.3.3 Cost-benefit analysis (CBA)
- 7.3.4 Adaptation pathways
- 7.4 Traceability and consistency across decisio...
- 7.5 Governance, review and decision records
- 7.6 Use of supporting tools and models
- + 8 Monitoring, evaluation and updating
- 8.1 Purpose
- 8.2 Monitoring of climate exposure and system p...
- + 8.3 Continual improvement
- 8.3.1 Evaluation of adaptation effectiveness
- 8.3.2 Updating of analyses and decisions
- 8.3.3 Governance and feedback into decision-mak...
- + Annex A (informative)
- A.1 Purpose and scope
- A.2 MCDA assessment categories
- A.3 MCDA criteria
- Table A.1 – Strategic criteria
- Table A.2 – Socioeconomic impact criteria
- Table A.3 – Financial criteria
- Table A.4 – Deliverability criteria
- A.4 Scoring scale and descriptors
- Table A.5 – Scoring scale and descriptors
- + A.5 Prioritization and derivation of weights
- + A.5.1 Rank-based derivation of weights
- A.5.1.1 Rank-order centroid (ROC) method
- A.5.1.2 Rank-sum (linear) method
- A.5.2 Alternative weighting approaches and over...
- A.5.3 Interpretation of weighted results
- + Annex B (informative)
- B.1 Purpose and scope
- B.2 Conceptual basis of CEA for rail adaptation...
- B.3 Definition of base case and options
- B.4 Effectiveness measures
- B.5 Cost components
- B.6 Temporal representation and discounting
- B.7 Cost-effectiveness metrics and comparison
- B.8 Treatment of uncertainty and sensitivity
- + Annex C (informative)
- C.1 Purpose and scope
- C.2 Conceptual basis of CBA for rail adaptation...
- C.3 Definition of base case and adaptation opti...
- C.4 Identification and estimation of costs
- + C.5 Identification and valuation of benefits
- C.5.1 Risk-based benefit estimation
- C.5.2 Types of benefits
- C.6 Use of analysis and simulation outputs
- C.7 Temporal representation and discounting
- C.8 Discount rate considerations
- C.9 Economic performance indicators
- C.10 Treatment of uncertainty and sensitivity
- + Annex D (informative)
- D.1 Purpose
- + D.2 Process description
- D.2.1 Step 1 – Determine the assessment period
- D.2.2 Step 2 – Select climate scenarios
- D.2.3 Step 3 – Define threshold conditions for ...
- D.2.4 Step 4 – Determine frequency of threshold...
- D.2.5 Step 5 – Identify configuration states ov...
- D.2.6 Step 6 – Identify configuration states ov...
- D.2.7 Step 7 – Develop and run network simulati...
- D.2.8 Step 8 – Extract system performance metri...
- D.2.9 Step 9 – Scale impacts over time
- D.2.10 Step 10 – Translate performance impacts ...
- D.2.11 Step 11 – Compare baseline scenario with...
- D.3 Use of results
- Figure D-1
- + Annex E (informative)
- E.1 General
- E.2 Role of adaptation pathways in railway deci...
- E.3 Capital constraints and funding-driven stag...
- + E.4 Disruption-driven sequencing and one-time i...
- E.4.1 Opportunistic implementation during plann...
- E.5 Subsystem-level pathways and differential t...
- E.6 Interfaces, compatibility, and long-term in...
- E.7 Asset criticality, phasing, and service con...
- E.8 Application of risk evaluation principles t...
- E.9 Role of simulation, economic and decision-m...
- + Annex F (informative)
- F.1 Title page
- F.2 Executive summary
- F.3 Background
- F.4 Options considered and interested parties
- F.5 Methodology
- F.6 Results
- F.7 Conclusion
- F.8 Appendices and references
- Bibliography
1 Scope
The Technical Specification will build on Canada’s adoptions of ISO 14090 and ISO 14091, offering practical tools such as diagrams, checklists, process guidance, and case-based recommendations. The project will aim to fill a gap between high-level adaptation principles and operational realities of transportation infrastructure in Canada.
· The Technical Specification will support economic and operational decision-making for adaptation investments to enhance climate resilience of Canadian transportation systems by:
· Elaborating on the principles and the decision-making approaches outlined in ISO 14090 and ISO 14091 and their national adoptions in the context of transportation infrastructure planning and operations in Canada;
· Incorporating complementary frameworks and references related to decision-making and economic assessment for public infrastructure; and
· Providing guidance on the integration of engineering data and simulation modeling data with financial and economic models to support decision-making.
You may comment on any section of this document by clicking the “Submit Comment” link at the bottom of the relevant section.