Highway Bergen - Haugesund



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Highway Bergen - Haugesund Stein R. Berntsen, Managing Director Dovre Consulting Norway The 5th Concept Symposium on Project Governance Valuing the Future - Public Investments and Social Return 20. 21. September 2012 Symposium web-site: http://www.conceptsymposium.no/ Concept Research Programme: http://www.concept.ntnu.no/english/

Highway Haugesund-Bergen Concept Symposium 21-23. September 2012 Stein R. Berntsen

Dovre Group and TØI Dovre Group Consulting and resourcing for major projects Project Management and Procurement Established 1984, 420 employees Institute of Transport Economics (TØI) Research and consulting in transportation Multidisciplinary transport research Established 1958, 90 employees Joint Venture Partners for QA framework agreement Cooperation since 2001

Norway - Population & Growth Tromsø (69) Bodø (48) Inntrøndelag (61) Trondheim (250) Sunnmøre (107) Mjøsbyen (185) Oslo indre (1.147) Bergen (354) Haugesund (118) Stavanger (278) Oslo ytre (139) Vestfold-Grenland (331) Østfoldbyen (215) Agderbyen (214)

Overall purpose Regionpakke Bergen Haugesund - Bergen Rogfast Nord-Jæren pakken

Project objectives Minimize travel time Stavanger Bergen Minimize travel time between regional labour markets Travel time Stavanger Bergen * Today 4:35 (45 km/h) Potential 2:20 (90 km/h) Travel time Stord Bergen * Today 1:57 (42 km/h) Potential 0:55 (90 km/h) Reduce distance related cost by 40% Haugesund Bergen Reduce distance related cost by 40% Stord Bergen * My own approximations to illustrate the problem

Alternative concepts Travel time reduction K1 0 min (149 min) K2 9 min K3 64 min K4A 38 min K4C 68 min K4D 43 min K5A 58 min K5B 53 min

Method for independent CBA 2018 2043 2058 Invest. Analysis period 25 years Residual (15/40) Invest. Analysis period 40 years Present approach Analysis period 25 years Estimated population growth Todays values and cost Recommended approach Analysis period 40 years Estimated population growth Real price adjusted values

Method for independent CBA Volume Population growth Transportation growth Increasing congestion Mode of transport Elasticities Base 2012 Transport model 2014 Elasticities 2010 Value of time 2009 Cost price level 2010 Adjusted to 2012 Value Real price adjustment Real cost adjustment Local willingness to pay CBA 2018 2057 Investments 2013 2017 Net benefits 2018 2057 Method Analysis period = functional lifetime Discount rate acc. to project systematic risk Risk adjusted values

Results Overall objectives K3 K4C Minimize travel time Stavanger Bergen Minimize travel time between regional labour markets Specific objectives Distance cost Aksdal Bergen Distance cost Stord Bergen Labour market effects Project objectives K4C with road tax K4D (with ferry) K5B Travel time and environment Reduces travel time (min) 64 68 68 44 52 Environmental issues Risk adjusted costs and benefits K3 K4C K4C with road tax K4D (with ferry) K5B CAPEX 28.9 27.1 27.1 12.2 21.2 OPEX 3.6 2.0 1.9 1.4 2.2 Benefits 62.9 56.5 45.8 34.8 52.3 Net benefits 30.3 27.5 16.8 21.2 29.0 Net benefits/capex 1.0 1.0 0.6 1.7 1.4 billion 2012 NOKs

Sensitivities High growth Risk adjusted costs and benefits K3 K4C K4C with road tax K4D (with ferry) K5B CAPEX 29.3 27.4 27.4 12.4 21.4 OPEX 3.9 2.2 2.1 1.5 2.3 Benefits 83.4 74.7 61.8 45.4 69.6 Net benefits 50.3 45.1 32.4 31.5 45.9 Net benefits/capex 1.7 1.6 1.2 2.6 2.1 Differentiated growth Risk adjusted costs and benefits K3 K4C K4C with road tax K4D (with ferry) K5B CAPEX 28.9 27.1 27.1 12.2 21.2 OPEX 3.6 2.0 1.9 1.4 2.2 Benefits 73.7 66.2 45.8 34.8 52.3 Net benefits 41.1 37.1 16.8 21.2 29.0 Net benefits/capex 1.4 1.4 0.6 1.7 1.4 Growth 0.1% difference in growth is enough One per mille higher annual growth in transportation gives, due to shorter travel time, K4C the same net benefits as K5B

Wider impacts Bergen (B) Labour force 181 000 Avg. salary 253 000 * Full integration ( w/ Rogfast) Full integration Aksdal Bergen Wider impacts (million per year) Integrated B+H, given prior integration S+H B B B B Haugesund (H) Labour force 59 000 Avg. salary 225 000 * H S L: 385 000 S: 273 000 * Δ: 10 pa H H S S Years after project 20 yrs 25 yrs 30 yrs L: 240 000 L: 240 000 S: 260 000 * S: 260 000 * Infrastructure impacts regional development structure Δ: 3,4 pa Δ: 1,6 pa and economic growth H S Expected population growth is not included in the calculations Stavanger (S) Labour force 145 000 Avg. salary 247 000 * Reasonable to Integrated assume Bergen+Fusa wider impacts Size of effect Δ: very 0,4 pa uncertain Largest effect for the Middle alternative Δ Middle/Inner: 1,2 pa NPV 10 * Calculated from regression model that estimates salary based on labour market size (Tørrskodd på jobb)

Concept selection K4C v K5B Minimizing travel time on E39 the main purpose and objective Not significantly different level of complexity Not significantly different project execution time Pros K4C Best achieval of objectives Best value of benefits 15 minutes shorter travelling time Wider impacts Best net benefits with 0.1% higher growth Option: Successive development (K4D) Option: Bridge to Austevoll Sustainability: Straight line between two of the largest city areas in Norway Pros K5B Best net benefits with equal growth assumptions Lower investment cost Option: Connection to E134

Decision strategy Recommendations X Concept 4C (Straight line alternative) Direct funding no road tax Preparations for later widening of the road Final decision after confirmation of feasibility and cost in the upcoming fjord crossing report

General conclusions The QA system improves the CBA methodology: analysis period, social discount rate, real price adjustment CBA is a very good tool for decision making Standard CBA assumptions does not answer important questions related to: Purpose and objectives Impact on growth and value assumptions Wider impacts Sustainability Reasonably robust conclusions may be taken on conceptual level, even under great uncertainty