{"query_echo":{"q":"","filters":{"geography":["Umeå"]},"warnings":[]},"total":{"value":6,"relation":"eq"},"page":1,"page_size":20,"self":"https://climateinsightsdirectory.org/api/v1/search?geography=Ume%C3%A5","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":"sei-001917","url":"https://climateinsightsdirectory.org/document/sei-001917","title":"Looking beyond the average Swedish household carbon footprint","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2023-11","source_url":"https://www.sei.org/wp-content/uploads/2023/11/sei2023.057-household-sweden-klimatkalkylatorn.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The analysis of over 800,000 responses from the Klimatkalkylatorn tool reveals that the average Swedish household carbon footprint is 4.3 tons CO2e per person, with significant variations based on municipality type, income, and family structure. Food is the largest emission driver overall, while air travel causes the widest disparities between households. The study highlights that residents in commuting municipalities near large cities often have the highest footprints, whereas those in large cities have the lowest overall footprints, primarily due to reduced car travel.","ai_generated":true,"unit":"sei-001917#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The average carbon footprint among users of the Klimatkalkylatorn tool is 4.3 tons CO2e per person, which is slightly lower than the official Swedish EPA estimate of 4.6 tons CO2e.","ai_generated":true,"unit":"sei-001917#insight-1","date_modified":"2026-10-23"},{"text":"Food is the primary driver of greenhouse gas emissions for all analyzed municipality groups, accounting for 27% of the total footprint among users.","ai_generated":true,"unit":"sei-001917#insight-2","date_modified":"2026-10-23"},{"text":"Air travel is the consumption category that creates the most significant differences in carbon footprints between households and municipality groups, with residents of large cities having footprints twice as high as those in rural municipalities.","ai_generated":true,"unit":"sei-001917#insight-3","date_modified":"2026-10-23"},{"text":"Geographic location and municipality type influence footprint size; respondents in \"Commuting municipalities near large cities\" (group A2) have the highest overall footprint per person, while those in \"Large cities\" (group A1) have the lowest.","ai_generated":true,"unit":"sei-001917#insight-4","date_modified":"2026-10-23"},{"text":"Household size inversely affects the per person footprint; single-person households have the highest footprints, particularly in air travel and consumption of furniture and electronics, while households with one adult and four children have the lowest.","ai_generated":true,"unit":"sei-001917#insight-5","date_modified":"2026-10-23"},{"text":"There is a strong correlation between high average income levels in municipalities and higher carbon footprints, with air travel being the dominant emission source in high-income areas.","ai_generated":true,"unit":"sei-001917#insight-6","date_modified":"2026-10-23"}],"climate_tags":["carbon footprint","residential energy","transportation","urbanization","sustainable consumption"],"geography_discussed":["Danderyd Municipality","Vellinge Municipality","Lidingö Municipality","Lund","Umeå","Vilhelmina"],"frame_perspective":[],"analysis_type":["quantitative analysis","socio-economic analysis"]},{"id":"sei-001278","url":"https://climateinsightsdirectory.org/document/sei-001278","title":"Governing the circular economy","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2022-09","source_url":"https://www.sei.org/wp-content/uploads/2022/12/circular-economy-urban-policymakers-2.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The document identifies key governance challenges for cities implementing circular economy (CE) models, such as administrative silos, lack of holistic visions, and insufficient data for monitoring. It proposes four strategic pillars for urban policymakers: creating shared visions with inclusive strategies, establishing supportive regulatory and financial instruments (particularly circular public procurement), facilitating multi-level collaboration, and utilizing Urban Living Labs to scale innovations from local pilots to city-wide implementation.","ai_generated":true,"unit":"sei-001278#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Urban policymakers face four primary challenges in implementing circular economy strategies: a lack of data and tools for assessment, administrative fragmentation and silos, a prevalence of narrow or linear thinking, and a lack of scale to accelerate these strategies.","ai_generated":true,"unit":"sei-001278#insight-1","date_modified":"2026-10-23"},{"text":"Many cities struggle with a narrow interpretation of the circular economy, focusing primarily on technical aspects like recycling and energy recovery while neglecting the social and behavioral impacts necessary for a transformative transition.","ai_generated":true,"unit":"sei-001278#insight-2","date_modified":"2026-10-23"},{"text":"Public procurement is identified as a critical municipal instrument for accelerating the circular economy, with the authors suggesting the integration of CE principles throughout the procurement process, specifically in areas such as transport, IT, food, and furniture.","ai_generated":true,"unit":"sei-001278#insight-3","date_modified":"2026-10-23"},{"text":"The document recommends the use of Urban Living Labs—real-life environments for co-creating and testing novel policies—to bridge the gap between small-scale pilot projects and city-wide scaling.","ai_generated":true,"unit":"sei-001278#insight-4","date_modified":"2026-10-23"},{"text":"Effective governance of the circular economy requires a shared vision developed early with diverse stakeholders, including academia, businesses, government, and the public, to ensure accountability and commitment.","ai_generated":true,"unit":"sei-001278#insight-5","date_modified":"2026-10-23"},{"text":"There is a significant gap in the ability of municipal governments to monitor progress due to missing indicators and insufficient data, which hinders the ability to learn from experience and scale up practices.","ai_generated":true,"unit":"sei-001278#insight-6","date_modified":"2026-10-23"}],"climate_tags":["circular economy","urban planning","government procurement","waste management","resource efficiency","greenhouse gas emissions","sustainable development","climate finance","social equity"],"geography_discussed":["Umeå","Stockholm","Paris","Turku","Nantes","London","Rotterdam","Amsterdam","Copenhagen","Sweden","Belgium","France","United Kingdom"],"frame_perspective":[],"analysis_type":["policy analysis","case study"]},{"id":"sei-001154","url":"https://climateinsightsdirectory.org/document/sei-001154","title":"A three-dimensional view of charging infrastructure equity","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2022-06","source_url":"https://www.sei.org/wp-content/uploads/2022/06/3d-charging-infrastructure-sei2022.020.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Using Sweden as a case study, the document examines three dimensions of charging infrastructure equity: data transparency, local accessibility, and demand flexibility. It finds that private charger density is positively correlated with disposable income and concentrated in urban areas, while car density is higher in regions where charger access is lower. The authors argue that private charging is essential for cost-effective, flexible energy use and recommend that municipalities monitor infrastructure at the postcode level to address structural inequalities.","ai_generated":true,"unit":"sei-001154#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is a significant lack of official data on private charging infrastructure, which hinders the ability of policymakers to set informed targets. While the European Alternative Fuels Infrastructure Regulation sets targets for public charging, it overlooks private charging despite it being the dominant strategy, with estimates suggesting 50% to 80% of charging occurs at private locations.","ai_generated":true,"unit":"sei-001154#insight-1","date_modified":"2026-10-23"},{"text":"Analysis of Swedish data reveals that private charger density is higher in urban areas with higher disposable income, whereas car density is higher in other parts of the country where charger access remains low.","ai_generated":true,"unit":"sei-001154#insight-2","date_modified":"2026-10-23"},{"text":"Aggregated municipal data can mask significant internal disparities; cities with a mean private charger density above the national average still contain many areas with below-average density. For example, in Gothenburg, 69% of postcodes have charger densities below the national mean despite the city's overall mean being 58% above that national average.","ai_generated":true,"unit":"sei-001154#insight-3","date_modified":"2026-10-23"},{"text":"Private charging is critical for achieving 'demand flexibility,' allowing for lower costs for owners and reduced peak loads for the grid. Public charging is significantly more expensive; slow charging at home is estimated at 1.5 SEK/kWh, while slow charging at a fuel station is 117% more expensive (3.5 SEK/kWh) and fast charging is 299% more expensive (5.99 SEK/kWh).","ai_generated":true,"unit":"sei-001154#insight-4","date_modified":"2026-10-23"},{"text":"The transition to fossil-free transport involves different costs based on geography. Households in central city areas have lower transformation costs due to better public transport and shorter distances, whereas those in rural municipalities face higher costs and limited mobility options beyond private cars.","ai_generated":true,"unit":"sei-001154#insight-5","date_modified":"2026-10-23"}],"climate_tags":["electric vehicle","electric vehicle charging network","Demand flexibility","energy transition","climate justice","transport policy","electrical grid"],"geography_discussed":["Stockholm","Gothenburg","Malmö","Umeå","Kiruna","Östersund","Jönköping","Karlstad","Gotland","Gislaved","Arvidsjaur"],"frame_perspective":[],"analysis_type":["geospatial analysis","policy assessment","socioeconomic analysis"]},{"id":"sei-002117","url":"https://climateinsightsdirectory.org/document/sei-002117","title":"A three-dimensional view of Charging infrastructure equity","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"policy brief","language":"en","date_published":"2022-06","source_url":"https://www.sei.org/wp-content/uploads/2022/06/3d-charging-infrastructure-sei2022.020-1.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"Using Sweden as a case study, this policy brief argues that electric vehicle (EV) infrastructure equity requires a focus on private charging rather than just public charging. The analysis reveals that private charger density is positively correlated with disposable income and negatively correlated with car density, meaning chargers are most concentrated in wealthy urban areas where car ownership is lowest. The authors highlight a critical lack of official data on private charging and argue that private charging is essential for cost-effective, flexible energy use. They recommend that municipalities collect data at the postcode level to identify and address structural inequalities in charger deployment.","ai_generated":true,"unit":"sei-002117#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"There is a significant lack of official data on private charging infrastructure, which hinders the ability of policymakers to set informed targets for EV expansion. Most current KPIs and regulations, such as the European Alternative Fuels Infrastructure Regulation, focus exclusively on public charging despite the assumption that 50% to 80% of charging occurs at private locations.","ai_generated":true,"unit":"sei-002117#insight-1","date_modified":"2026-10-23"},{"text":"Analysis of Swedish data shows that private charger density is higher in urban areas with higher disposable income, while car density is higher in other parts of the country where private charging access remains low.","ai_generated":true,"unit":"sei-002117#insight-2","date_modified":"2026-10-23"},{"text":"Aggregated municipal data can mask significant internal disparities in charging access. For example, in Gothenburg, while the mean private charger density is 58% above the national mean, 69% of its postcodes actually have charger densities below that national mean.","ai_generated":true,"unit":"sei-002117#insight-3","date_modified":"2026-10-23"},{"text":"Private charging is identified as the primary strategy for an equitable transition because it allows for 'smart' demand flexibility, which reduces grid peak loads and lowers costs for owners. Public charging is significantly more expensive; slow charging at home is estimated at 1.5 SEK/kWh, whereas fast charging (150 kW) can cost 299% more at 5.99 SEK/kWh.","ai_generated":true,"unit":"sei-002117#insight-4","date_modified":"2026-10-23"},{"text":"Transformation costs to fossil-free transport vary by geography; they are lowest in high-density areas like Stockholm due to better public transport options and highest in low-population regions such as Gislaved and Arvidsjaur.","ai_generated":true,"unit":"sei-002117#insight-5","date_modified":"2026-10-23"}],"climate_tags":["electric vehicle","electric vehicle charging network","Demand flexibility","energy transition","climate justice","transportation"],"geography_discussed":["Stockholm","Gothenburg","Malm6","Umeå","Kiruna","Östersund","Jénképing","Karlstad","Region Gotland","Gislaved","Arvidsjaur"],"frame_perspective":[],"analysis_type":["geospatial analysis","policy analysis","socioeconomic analysis"]},{"id":"sei-001553","url":"https://climateinsightsdirectory.org/document/sei-001553","title":"Beyond closing the loop – integrating social considerations into circular economy transitions in cities","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"research paper","language":"en","date_published":"2022","source_url":"https://www.sei.org/wp-content/uploads/2020/01/rezaie-et-al.-2022-beyond-closing-the-loop.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","geography_discussed","analysis_type"],"summary":{"text":"The paper examines stakeholder perceptions of the circular economy (CE) transition in Umeå, Sweden. It finds that current social impact considerations are narrow, focusing primarily on employment shifts and community cohesion, while neglecting health, well-being, and property rights. The authors argue for a broader assessment framework that includes job quality, accessibility for vulnerable groups, and the implications of digitalization.","ai_generated":true,"unit":"sei-001553#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"Stakeholders in Umeå generally perceive the circular economy as a means to achieve positive environmental and economic gains, often associating it with the sharing economy and sustainability. Their understanding focuses on four main areas: prolonging product lifespans through reusing, rethinking, and recycling; sharing initiatives; sustainable production and consumption; and the use of renewable resources.","ai_generated":true,"unit":"sei-001553#insight-1","date_modified":"2026-10-23"},{"text":"Employment is the most frequently discussed social impact area, with stakeholders identifying potential job gains from CE strategies but also significant job losses in the retail market, construction sector, and car industry. There is a noted risk that local circular gains could lead to negative impacts on exporting nations with emerging economies.","ai_generated":true,"unit":"sei-001553#insight-2","date_modified":"2026-10-23"},{"text":"While many stakeholders believe CE initiatives can enhance social cohesion and trust by creating new social ties, others highlight pitfalls. These include the lack of sustainability in some sharing services (e.g., Uber), physical and digital accessibility barriers, and the time-intensive nature of CE activities.","ai_generated":true,"unit":"sei-001553#insight-3","date_modified":"2026-10-23"},{"text":"There is a perceived social divide in the governance of Umeå's CE transition. Many stakeholders, particularly from civil society, feel that current collaborations are insufficient and that grassroots participation is limited to those already supportive of the vision.","ai_generated":true,"unit":"sei-001553#insight-4","date_modified":"2026-10-23"},{"text":"Digital transformation within the circular economy is identified as a risk for marginalized groups, specifically elderly people and migrants, who may lack the necessary technology and skills for digital empowerment.","ai_generated":true,"unit":"sei-001553#insight-5","date_modified":"2026-10-23"},{"text":"The study concludes that social impact considerations in circular city transitions are currently too narrow. The authors recommend expanding assessments to include job quality (rather than just quantity), the accessibility of initiatives, and the impacts on personal and property rights, which are currently barely discussed.","ai_generated":true,"unit":"sei-001553#insight-6","date_modified":"2026-10-23"}],"climate_tags":["circular economy","employment","waste management","greenhouse gas emissions"],"geography_discussed":["Europe","People's Republic of China"],"frame_perspective":[],"analysis_type":["stakeholder analysis","qualitative research","case study"]},{"id":"sei-001619","url":"https://climateinsightsdirectory.org/document/sei-001619","title":"Calculating consumption impacts at the local level: a new approach in Umeå, Sweden","publisher":{"name":"Stockholm Environment Institute","organization":"stockholm-environment-institute"},"document_type":"case study","language":"en","date_published":"2019-03","source_url":"https://www.sei.org/wp-content/uploads/2019/03/sei-2019-p2cs-umea-local-footprint.pdf","generator":"Climate Insights Directory","generated_fields":["summary","key_insights","climate_tags","analysis_type"],"summary":{"text":"The Stockholm Environment Institute (SEI) collaborated with Umeå municipality to translate a 2018 resident survey into a climate footprint estimation tool. This tool allows the municipality to compare local consumption-based emissions with national averages and identify specific demographic drivers of emissions. Findings revealed that while residents in their 20s have more climate-smart diets, they have higher footprints for furniture, and that higher-income groups generally have larger footprints due to increased consumption of red meat, clothing, and flights.","ai_generated":true,"unit":"sei-001619#summary","date_modified":"2026-10-23"},"key_insights":[{"text":"The project created a tool that combines 2018 survey data with national statistics categories, enabling Umeå to compare resident consumption-based emissions against national averages and update calculations with future surveys.","ai_generated":true,"unit":"sei-001619#insight-1","date_modified":"2026-10-23"},{"text":"Analysis of age cohorts showed that residents in their 20s are more likely to be vegetarian and consume less meat and dairy than older groups, though they have a significantly higher carbon footprint regarding furniture, likely due to moving into new homes.","ai_generated":true,"unit":"sei-001619#insight-2","date_modified":"2026-10-23"},{"text":"There is a positive correlation between income levels and climate footprints, with higher-income residents consuming more clothing and red meat and taking more flights.","ai_generated":true,"unit":"sei-001619#insight-3","date_modified":"2026-10-23"}],"climate_tags":["sustainable consumption","carbon footprint","aviation"],"geography_discussed":[],"frame_perspective":[],"analysis_type":["case study"]}]}