{"query_echo":{"q":"","filters":{"analysis_type":["cost benefit analysis"]},"warnings":[{"code":"facet_value_not_in_vocabulary","message":"Value 'cost benefit analysis' for facet 'analysis_type' is not in the controlled vocabulary."}]},"total":{"value":4,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?analysis_type=cost+benefit+analysis","stability":"beta","ai_marking":{"digital_source_type":{"uri":"http://cv.iptc.org/newscodes/digitalsourcetype/trainedAlgorithmicMedia","name":"Created using Generative AI"},"notice":"Summary and key insights are generated using artificial intelligence."},"results":[{"id":"iisd-003143","url":"https://climateinsightsdirectory.org/document/iisd-003143","title":"Integration of Climate Data in the SAVi Roads Model","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2020-09","source_url":"https://www.iisd.org/system/files/2020-09/intregration-climate-data-savi-roads-model.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document details how climate data from the Copernicus Climate Data Store (CDS) is integrated into the SAVi Roads model to improve the analysis of climate-related risks. It focuses on three primary impacts: precipitation effects on road lifetime, weather effects on injury accidents, and precipitation-based road runoff. Simulation results for a 1,000 km road network between 2020 and 2100 show that CDS integration reveals higher cumulative road disruption, an increase in injury accidents, and significantly higher stormwater runoff compared to a 'no climate' baseline. The economic analysis indicates that the most substantial cost increase stems from stormwater management, totaling an additional USD 2.06 billion over 80 years.","ai_generated":true,"unit":"iisd-003143#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Precipitation is estimated to be responsible for approximately 37.5% of road depreciation, specifically in terms of rutting depth.","ai_generated":true,"unit":"iisd-003143#insight-1","date_modified":"2026-10-23"},{"text":"Simulation results for 1,000 km of road from 2020 to 2100 show that integrating CDS climate data increases forecasted cumulative road disruption to 1,688.9 km, compared to ,1601.67 km in the no climate scenario, representing an additional disruption of 5.45% or 87.26 km.","ai_generated":true,"unit":"iisd-003143#insight-2","date_modified":"2026-10-23"},{"text":"The integration of weather data predicts a 1.2% increase in injury accidents between 2020 and 2100 compared to the no climate scenario, averaging approximately 16.5 additional accidents per year.","ai_generated":true,"unit":"iisd-003143#insight-3","date_modified":"2026-10-23"},{"text":"The CDS integration reveals that previous formulations underestimated stormwater runoff; the maximum monthly load increased from 758.63 million liters in the no climate scenario to 3,182.3 million liters, and cumulative runoff over 80 years for 1,000 km of road rose by 68.05 billion liters.","ai_generated":true,"unit":"iisd-003143#insight-4","date_modified":"2026-10-23"},{"text":"The most significant economic impact of integrating CDS data is the cost of stormwater management, which is projected to increase by USD 2.06 billion over 80 years, averaging USD 25.58 million annually.","ai_generated":true,"unit":"iisd-003143#insight-5","date_modified":"2026-10-23"},{"text":"Total economic differences between the no climate scenario and the CDS climate impact scenario total USD 2.08 billion between 2020 and 2100, with stormwater management being the largest contributor.","ai_generated":true,"unit":"iisd-003143#insight-6","date_modified":"2026-10-23"},{"text":"Climate-related impacts on asphalt result in an additional USD 9.4 million in capital expenditure for road construction and approximately USD 87,000 in additional maintenance costs over 80 years.","ai_generated":true,"unit":"iisd-003143#insight-7","date_modified":"2026-10-23"},{"text":"The integration of weather variables into accident equations indicates an additional economic cost of traffic accidents totaling USD 21.9 million between 2020 and 2100.","ai_generated":true,"unit":"iisd-003143#insight-8","date_modified":"2026-10-23"}],"climate_tags":["precipitation","climate finance","extreme weather event","greenhouse gas emissions"],"geography_discussed":["United States","Texas","Alaska","France","Netherlands","Athens"],"frame_perspective":[],"analysis_type":["simulation","cost benefit analysis","literature review"]},{"id":"iisd-002036","url":"https://climateinsightsdirectory.org/document/iisd-002036","title":"The Sustainable Asset Valuation of the Southern Agricultural Growth Corridor of Tanzania (SAGCOT) Initiative: A focus on irrigation infrastructure","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"report","language":"en","date_published":"2018-12","source_url":"https://www.iisd.org/system/files/publications/savi-tanzania-sagcot-initiative.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report compares flood and drip irrigation for the SAGCOT initiative in Tanzania's Kilombero Valley. It finds that while drip irrigation has higher initial costs, it is more sustainable and financially viable when externalities—such as water savings and additional land productivity—are included. Drip irrigation is projected to unlock 10,600 additional hectares of land and reduce seasonal migration patterns compared to flood irrigation.","ai_generated":true,"unit":"iisd-002036#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Drip irrigation is more financially beneficial than flood irrigation when externalities are included, though it performs worse in traditional financial analyses that ignore them. Under a low-cost capital assumption (USD 1,500 per ha), drip irrigation provides net benefits of USD 39.2 million over 25 years, compared to USD 12.88 million for flood irrigation. Under a high-cost assumption (USD 3,000 per ha), the net benefits for drip irrigation drop to USD 3.98 million, making flood irrigation more beneficial in that specific case.","ai_generated":true,"unit":"iisd-002036#insight-1","date_modified":"2026-10-23"},{"text":"The use of drip irrigation significantly increases agricultural productivity and land availability by reducing water waste. It is estimated that 10,600 hectares of additional land could be unlocked for production, leading to a 20 per cent increase in agriculture production and generating USD 51 million in additional revenues over 25 years.","ai_generated":true,"unit":"iisd-002036#insight-2","date_modified":"2026-10-23"},{"text":"Drip irrigation improves social sustainability by mitigating seasonal migration patterns. In the flood irrigation (SAGCOT RE) scenario, workers migrate into the valley during the rainy season and leave during the dry season due to water stress; drip irrigation almost completely mitigates this pattern, keeping the population more stable.","ai_generated":true,"unit":"iisd-002036#insight-3","date_modified":"2026-10-23"},{"text":"Drip irrigation reduces the pressure on water resources in the Kilombero Valley. In the long term, it reduces annual water use by 14 per cent. While water stress persists in both scenarios, drip irrigation reduces water demand to a level where it is only twice as high as available supply, whereas flood irrigation demand is projected to be almost three times the supply by 2030.","ai_generated":true,"unit":"iisd-002036#insight-4","date_modified":"2026-10-23"},{"text":"Drip irrigation supports higher employment levels in water-constrained scenarios. By 2030, the drip irrigation scenario (SAGCOT GE) is projected to create approximately 22,094 more jobs in the middle and long term than the flood irrigation scenario (SAGCOT RE) under water constraints.","ai_generated":true,"unit":"iisd-002036#insight-5","date_modified":"2026-10-23"}],"climate_tags":["water scarcity","water efficiency","food security","climate resilience","green economy"],"geography_discussed":["Rufiji River basin"],"frame_perspective":[],"analysis_type":["economic assessment","financial feasibility analysis","scenario analysis","cost benefit analysis"]},{"id":"sei-002834","url":"https://climateinsightsdirectory.org/document/sei-002834","title":"Vision Zero","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"report","language":"en","date_published":"2006","source_url":"https://www.sei.org/mediamanager/documents/Publications/Future/vision_zero_FinalReportMarch06.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The report examines Sweden's 'Vision Zero' policy, which shifts road safety responsibility from the individual user to the system designers to eliminate fatalities and serious injuries. While UK focus groups found the concept laudable, a stakeholder survey revealed significant skepticism regarding its achievability and cost-effectiveness in the UK. The document provides a cost-benefit analysis suggesting high potential savings and proposes a 'backcasting' implementation schedule for the UK through 2030, integrating road engineering, speed control, and sustainable transport.","ai_generated":true,"unit":"sei-002834#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Sweden's Vision Zero policy, introduced in 1997, is based on the ethical premise that no human deaths or lifelong suffering from road traffic are acceptable, shifting responsibility from the road user to the system designers.","ai_generated":true,"unit":"sei-002834#insight-1","date_modified":"2026-10-23"},{"text":"The core technical principle of Vision Zero is that the road transport system must be designed so that crash energy does not exceed the biomechanical tolerance of the human body.","ai_generated":true,"unit":"sei-002834#insight-2","date_modified":"2026-10-23"},{"text":"In the UK, focus group participants generally viewed the Vision Zero objective as an inspiring and admirable goal, though many questioned its practical achievability due to inherent human error.","ai_generated":true,"unit":"sei-002834#insight-3","date_modified":"2026-10-23"},{"text":"A survey of UK stakeholders showed strong opposition to adopting Vision Zero, with 79% against it, citing concerns over costs, the inherent risk of life, and the belief that it would lead to overly restrictive policies for motorists.","ai_generated":true,"unit":"sei-002834#insight-4","date_modified":"2026-10-23"},{"text":"The report estimates that the full implementation of Vision Zero in the UK could provide annual benefits of £9.9 billion in terms of prevented fatalities and serious injuries, totaling approximately £111 billion over 10 years.","ai_generated":true,"unit":"sei-002834#insight-5","date_modified":"2026-10-23"},{"text":"Swedish experience suggests that the most effective interventions for reducing fatalities include road network improvements, speed reduction in urban and rural areas, and technical measures like alcohol ignition interlocks.","ai_generated":true,"unit":"sei-002834#insight-6","date_modified":"2026-10-23"},{"text":"The proposed 'backcasting' pathway for the UK to achieve Vision Zero by 2030 involves three phases: a preparatory phase of consultation, a second phase (until 2020) focusing on media, speed control, and law reform, and a final review phase.","ai_generated":true,"unit":"sei-002834#insight-7","date_modified":"2026-10-23"},{"text":"The report identifies significant policy synergies where Vision Zero could simultaneously reduce greenhouse gas emissions, noise pollution, and obesity by encouraging a modal shift toward walking and cycling.","ai_generated":true,"unit":"sei-002834#insight-8","date_modified":"2026-10-23"},{"text":"Critics of the policy, including some Swedish researchers, argue that rejecting cost-benefit analysis (CBA) in favor of an ethical 'zero' target can lead to inefficient resource allocation and may potentially increase overall mortality if funds are diverted from other health priorities.","ai_generated":true,"unit":"sei-002834#insight-9","date_modified":"2026-10-23"},{"text":"The report suggests that a successful UK implementation would require a multidisciplinary approach involving the NHS, vehicle manufacturers, and a new independent agency for comprehensive fatality investigations, similar to the Swedish model.","ai_generated":true,"unit":"sei-002834#insight-10","date_modified":"2026-10-23"}],"climate_tags":["sustainable transport","greenhouse gas emissions","urban design","air pollution"],"geography_discussed":["European Union","Norway","Germany","Denmark","Finland"],"frame_perspective":[],"analysis_type":["policy assessment","cost benefit analysis","backcasting","SWOT analysis","regulatory impact assessment"]},{"id":"iisd-002025","url":"https://climateinsightsdirectory.org/document/iisd-002025","title":"Applying a Sustainable Asset Valuation (SAVi) to the Bus Rapid Transit Project in Senegal","publisher":{"name":"International Institute for Sustainable Development","organization":"international-institute-for-sustainable-development"},"document_type":"fact sheet","language":"en","date_published":null,"source_url":"https://www.iisd.org/system/files/publications/savi-senegal-bus-rapid-transit-brochure-en.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The SAVi assessment of Dakar's Bus Rapid Transit (BRT) project reveals that while traditional financial analysis suggests the project is not viable, the inclusion of externalities—such as time saved and avoided transportation costs—significantly enhances its financial performance. The project, estimated to cost EUR 369,490,000 and transport 300,000 passengers daily upon completion in 2023, generates total net benefits ranging from CFA 1.7 trillion to 2.7 trillion across different demand scenarios. While the BRT is expected to cause a 14% net job loss within the transportation sector, it is projected to increase overall economy discretionary spending by 15.6% due to improved mobility.","ai_generated":true,"unit":"iisd-002025#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Traditional financial assessments indicate that the BRT project is not financially viable regardless of passenger demand, but incorporating externalities significantly improves financial indicators. For example, the Internal Rate of Return (IRR) for Scenario 1 (BRT) is 2.17%, which rises to 37.69% in Scenario 1E (BRT + externalities).","ai_generated":true,"unit":"iisd-002025#insight-1","date_modified":"2026-10-23"},{"text":"The integrated Cost Benefit Analysis (CBA) shows that the BRT project generates net benefits across all three demand scenarios, with total net benefits ranging from CFA 1.7 trillion to almost CFA 2.7 trillion (USD 2.94 billion to USD 4.61 billion).","ai_generated":true,"unit":"iisd-002025#insight-2","date_modified":"2026-10-23"},{"text":"The most significant externalities contributing to the project's value are the avoided cost of transportation, the value of time saved, and discretionary spending.","ai_generated":true,"unit":"iisd-002025#insight-3","date_modified":"2026-10-23"},{"text":"The BRT project is expected to result in a net job loss of 14% within the transportation sector, as job creation from the project will not fully compensate for losses in other transport modes. However, improved mobility is projected to increase discretionary spending in the overall economy by 15.6%.","ai_generated":true,"unit":"iisd-002025#insight-4","date_modified":"2026-10-23"},{"text":"The BRT project in Dakar has an estimated total cost of EUR 369,490,000 and is funded by the Senegalese Government, the World Bank, the European Bank, and the Green Climate Fund.","ai_generated":true,"unit":"iisd-002025#insight-5","date_modified":"2026-10-23"}],"climate_tags":["bus rapid transit","public transport","greenhouse gas emissions","air pollution","climate finance"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["cost benefit analysis","financial simulation","externality valuation"]}]}