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TCRP Report 138: Estimating Soft Costs for Major Public Transportation Fixed Guideway Projects (2010)
Transit Cooperative Research Program (TCRP)

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Transportation Research Board. "5.4. Future Research Directions." TCRP Report 138: Estimating Soft Costs for Major Public Transportation Fixed Guideway Projects. Washington, DC: The National Academies Press, 2010.

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Page
90
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Page
90
Front Matter (R1-R9)
Part 1: Guidebook (1-2)
Introduction (3-3)
Chapter 1 - What Are Soft Costs and Why Do They Matter? (4-4)
Chapter 2 - How and Who This Guidebook Helps: Audience and Circumstances (5-5)
Definition of Soft Costs (6-6)
What Are the Components of Soft Costs? (7-7)
Typical versus Less Typical Soft Costs (8-8)
What Soft Costs Are Not: It Depends on Perspective (9-10)
When Does FTA Ask for Soft Cost Estimates? (11-11)
Characteristics of the Federal Process That Affect Soft Costs (12-12)
Federal versus Non-Federal Projects (13-13)
Later Phases (14-15)
How Does This Practice Compare with Actual Costs? (16-17)
Art versus Science (18-18)
Quantifying Soft Costs (19-19)
Four-Step Process (20-24)
Applying These Steps: Two Example Projects (25-29)
Appendix A - FTA Capital Cost Database (30-31)
Appendix B - Soft Cost Estimation Worksheet (32-33)
Appendix C - Glossary (34-36)
Part 2: Final Report (37-39)
S.1. Definition of Soft Costs (40-40)
S.2. Soft Cost Estimation: State of the Practice (41-42)
S.4. A New Approach to Estimate Soft Costs (43-43)
S.5. Future Research Direction (44-44)
1.2. Background (45-45)
1.3. Definition of Soft Costs (46-47)
1.4. Organization of This Report (48-48)
2.1. Papers and Websites (49-49)
2.3. Textbooks and Technical Books (50-50)
2.5. European Sources (51-51)
2.6. Summary and Conclusion (52-52)
3.1. In-Depth Interviews with Professional Cost Estimators (53-54)
3.3. Questionnaire Results: Magnitude of Estimated Soft Costs (55-59)
3.4. Questionnaire Results: Drivers Identified (60-61)
3.5. Questionnaire Results: Impact of Drivers (62-65)
4.2. Data Source: FTA Capital Cost Database (66-67)
4.3. Potential Issues in Soft Cost Categorization (68-69)
4.4. Historical Soft Costs (70-76)
4.5. Relationships between Cost Drivers and Historical Soft Costs (77-87)
5.2. Soft Cost Estimation: State of the Practice (88-88)
5.3. As-Built Cost Analysis (89-89)
5.4. Future Research Directions (90-90)
Bibliography (91-92)
Appendix A - Cost Estimators Interviewed (93-93)
B.1. Data Sources for Project Descriptions (94-94)
B.2. Project Descriptions (95-107)
C.2. Adjustments Addressing Different Cost Categorization (108-108)
C.5. Vehicle Soft Costs (109-109)
C.6. Soft Costs by Mode and Year (110-112)
C.7. Soft Costs by Complexity: Overall Project Size (113-116)
C.8. Soft Costs by Complexity: New versus Extension (117-118)
C.9. Soft Costs by Complexity: Percentage of Guideway Not at Grade (119-120)
C.10. Soft Costs by Complexity: Percentage of Guideway Below Grade (121-122)
C.11. Relationships Among Other Category Unit Costs (123-124)
C.13. Soft Costs and Project Development Budget (125-126)
C.14. Soft Costs and Project Development Schedule (127-129)
C.15. Vertical Profile and Soft Cost Measurement (130-130)
C.16. Isolating Agency-Specific Effects (131-134)
Abbreviations used without definitions in TRB publications (135-135)

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OCR for page 90
Conclusion 55 · Projects procured with alternative delivery methods such as design­build appear to have incurred less soft costs. · The health of the national economy and the level of construction activity can affect the relation- ships between soft and hard costs. · Longer project planning phases, unusual political influence, and a sponsor agency's capital- ization policies may increase soft cost requirements. · In the end, cost relationships based in historical evidence cannot explain 100% of the variability in soft costs. Therefore, soft cost estimation must blend the art of human judgment with the science of cost relationships. 5.4. Future Research Directions More in-depth research into the documentation of one or several recent construction proj- ects will enhance the understanding of soft cost drivers. Moreover, a comprehensive industry outreach will provide further insight on context-specific soft cost estimation practices. Finally, the methodology to estimate soft costs for public transportation infrastructure projects devel- oped here is based on past heavy and light rail construction projects and is therefore not entirely applicable to other prevalent public transportation capital infrastructure projects such as BRT, commuter rail, streetcar, or other state-of-good-repair projects to repair or replace aging infra- structure. Additional data and research would help estimate soft costs for these kinds of projects.