Pub Date : 2026-06-01Epub Date: 2026-01-15DOI: 10.1016/j.sftr.2026.101648
Ricardo O’Nascimento , Bruna Petreca , Roberta Morrow , Christopher Dawes , Miriam Ribul , Sameer Rahatekar , Sharon Baurley
Augmented Reality (AR), which overlays digital information on the physical world, is frequently used in textile retail to improve shopping experiences by simulating product appearance and enabling virtual customisation. While these applications foster brand engagement and purchasing decisions, they largely promote consumption rather than encouraging circular behaviours. This study introduces the AR Biofibre Explorer, an innovative tool designed to reconnect consumers with materials and processes by demonstrating the wet spinning process for producing cellulose-based textiles. Through a mixed-methods evaluation, we reveal how the tool enhances understanding of material origins and their applications, promoting informed decisions and circular practices. Aligning with The wellbeing framework for consumer experiences in the circular economy of the textile industry [1], the tool incorporates dimensions such as learning, attachment, competence, and playfulness. This research establishes AR as a means to foster sustainability and circularity in fashion by bridging material knowledge gaps, enhancing consumer engagement, and enabling sustainable consumption choices.
{"title":"Biofibre explorer: An augmented reality (AR) tool to promote circularity through material knowledge","authors":"Ricardo O’Nascimento , Bruna Petreca , Roberta Morrow , Christopher Dawes , Miriam Ribul , Sameer Rahatekar , Sharon Baurley","doi":"10.1016/j.sftr.2026.101648","DOIUrl":"10.1016/j.sftr.2026.101648","url":null,"abstract":"<div><div>Augmented Reality (AR), which overlays digital information on the physical world, is frequently used in textile retail to improve shopping experiences by simulating product appearance and enabling virtual customisation. While these applications foster brand engagement and purchasing decisions, they largely promote consumption rather than encouraging circular behaviours. This study introduces the AR Biofibre Explorer, an innovative tool designed to reconnect consumers with materials and processes by demonstrating the wet spinning process for producing cellulose-based textiles. Through a mixed-methods evaluation, we reveal how the tool enhances understanding of material origins and their applications, promoting informed decisions and circular practices. Aligning with The wellbeing framework for consumer experiences in the circular economy of the textile industry <span><span>[1]</span></span>, the tool incorporates dimensions such as learning, attachment, competence, and playfulness. This research establishes AR as a means to foster sustainability and circularity in fashion by bridging material knowledge gaps, enhancing consumer engagement, and enabling sustainable consumption choices.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101648"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977491","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-01-15DOI: 10.1016/j.sftr.2026.101679
Konstadinos Mattas , Christos Staboulis , Ahmed Alayidi , George Baourakis
The EU’s Green Payments are widely studied and recognized for their role in environmental protection. Building on this well-established role, the present study attempts to delve into the profound effects of such payments on the balanced regional economic development. This focus is motivated by the ongoing debate surrounding their effectiveness, which reveals a perceived discrepancy between environmental and financial implications. Previous assessments have primarily focused on the direct financial implications for farmers, overlooking their broader regional economic effects. This study addresses this gap by investigating the indirect economic benefits generated through Green Payments, using an Input–Output model to trace their impact on output, income, and employment in the region of Thessaly, Greece. Results demonstrate that the benefits of Green Payments extend beyond direct financial returns, indicating that the evaluation of environmental funding should be multidimensional by considering overall benefits due to economic growth generated by the public expenditure itself. Particularly, it is illustrated that Green Payments produce, directly and indirectly, an estimated economic output that exceeds the expenditures for their implementation. On the outcome of policy, results overturn the prevailing perception that green-related payments are detrimental in financial terms and urge the need for more comprehensive approaches when assessing relevant measures to support better documented policy making.
{"title":"Reassessing the economic implications of environmental protection measures: the case of the EU’s green payments","authors":"Konstadinos Mattas , Christos Staboulis , Ahmed Alayidi , George Baourakis","doi":"10.1016/j.sftr.2026.101679","DOIUrl":"10.1016/j.sftr.2026.101679","url":null,"abstract":"<div><div>The EU’s Green Payments are widely studied and recognized for their role in environmental protection. Building on this well-established role, the present study attempts to delve into the profound effects of such payments on the balanced regional economic development. This focus is motivated by the ongoing debate surrounding their effectiveness, which reveals a perceived discrepancy between environmental and financial implications. Previous assessments have primarily focused on the direct financial implications for farmers, overlooking their broader regional economic effects. This study addresses this gap by investigating the indirect economic benefits generated through Green Payments, using an Input–Output model to trace their impact on output, income, and employment in the region of Thessaly, Greece. Results demonstrate that the benefits of Green Payments extend beyond direct financial returns, indicating that the evaluation of environmental funding should be multidimensional by considering overall benefits due to economic growth generated by the public expenditure itself. Particularly, it is illustrated that Green Payments produce, directly and indirectly, an estimated economic output that exceeds the expenditures for their implementation. On the outcome of policy, results overturn the prevailing perception that green-related payments are detrimental in financial terms and urge the need for more comprehensive approaches when assessing relevant measures to support better documented policy making.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101679"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.sftr.2025.101617
Anders Roos , Ritva Toivonen , Florencia Franzini , Cecilia Mark-Herbert , Anne M K Toppinen , Camilla Widmark , Anders Qvale Nyrud , Hans Fredrik Hoen
The built environment is a major contributor to global emissions, making the transition to low-carbon construction materials critical for climate mitigation. Multi-storey wooden buildings (MSWBs) have emerged as a sustainable alternative due to their carbon storage capacity and lower embodied emissions compared to conventional multi-storey buildings. However, consumer acceptability for MSWBs remains uncertain. This study draws on cognitive-motivational consumer models, expectancy-value theory, and Signalling Theory to examine the effect of climate beliefs and concern, belief on climate impact of wood construction, and MSWB attitudes on the intention to live in MSWBs. The relationships are tested using structural equation modelling applying survey data from 7053 respondents across seven European countries. The study finds that stronger climate beliefs and concern enhance perceptions of wood’s climate benefits, which in turn influence both attitudes and housing intentions. However, attitudes toward multi-storey wooden buildings—particularly regarding comfort, health, and functionality—are stronger predictors of intention than beliefs alone, indicating a mediating role of attitudes. Cross-country differences highlight the role of cultural and regulatory contexts. The results suggest that policymakers and industry should emphasize and develop the climate benefits of MSWBs alongside improvements in perceived comfort and functionality. This study advances sustainable housing research by integrating environmental psychology and consumer behaviour perspectives.
{"title":"Climate concern, wood’s perceived climate benefits, and attitudes as predictors of intention to live in multi-storey wooden buildings","authors":"Anders Roos , Ritva Toivonen , Florencia Franzini , Cecilia Mark-Herbert , Anne M K Toppinen , Camilla Widmark , Anders Qvale Nyrud , Hans Fredrik Hoen","doi":"10.1016/j.sftr.2025.101617","DOIUrl":"10.1016/j.sftr.2025.101617","url":null,"abstract":"<div><div>The built environment is a major contributor to global emissions, making the transition to low-carbon construction materials critical for climate mitigation. Multi-storey wooden buildings (MSWBs) have emerged as a sustainable alternative due to their carbon storage capacity and lower embodied emissions compared to conventional multi-storey buildings. However, consumer acceptability for MSWBs remains uncertain. This study draws on cognitive-motivational consumer models, expectancy-value theory, and Signalling Theory to examine the effect of climate beliefs and concern, belief on climate impact of wood construction, and MSWB attitudes on the intention to live in MSWBs. The relationships are tested using structural equation modelling applying survey data from 7053 respondents across seven European countries. The study finds that stronger climate beliefs and concern enhance perceptions of wood’s climate benefits, which in turn influence both attitudes and housing intentions. However, attitudes toward multi-storey wooden buildings—particularly regarding comfort, health, and functionality—are stronger predictors of intention than beliefs alone, indicating a mediating role of attitudes. Cross-country differences highlight the role of cultural and regulatory contexts. The results suggest that policymakers and industry should emphasize and develop the climate benefits of MSWBs alongside improvements in perceived comfort and functionality. This study advances sustainable housing research by integrating environmental psychology and consumer behaviour perspectives.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101617"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.sftr.2025.101631
Mingxuan Lyu , Guizhen He , Hong Zhang , Xiaoyu Zhang , Yong Liu
Data can better measure progress towards achieving the Sustainable Development Goals (SDGs) in a way that is both inclusive and fair. However, several challenges remain, such as insufficient data and poor data quality. As a pivotal part of ensuring high-quality and trustworthy data for evidence-based decision-making and efficient measurement, data quality assessment plays a crucial role. This paper proposes a multidimensional data quality evaluation framework for SDGs data on the basis of fuzzy comprehensive evaluation theory. Nine quality dimensions are defined. Finally, we distribute questionnaires in 11 National Innovation Demonstration Zones for 2030 Sustainable Development Agenda in China to collect data for importance‒performance analysis (IPA). The results reveal that Huzhou has the highest SDG data quality score of 3.912, followed by Guilin with 3.663. Despite its high score, Huzhou’s data quality still has room for improvement. In contrast, Zaozhuang records the lowest SDG data quality score of 2.039, showing that it is particularly struggling in the ecological dimension. Notably, SDG9 exhibits the least variation (the smallest score disparity) among the 11 municipalities, followed closely by SDG8 and SDG10. IPA reveals the following four quadrants: the advantageous area, maintenance area, opportunity area, and focused improvement area. Xuzhou has the most indices in the advantageous area, whereas Ordos has the least in the opportunity area. The focused improvement area highlights the need for improvement in the quality dimensions of credibility and granularity. The study is valuable for data-based decision-making and continuous evaluation on SDG implementation at local, national, and even global scale.
{"title":"Evaluating data quality of the sustainable development goals in national innovation demonstration zones, China","authors":"Mingxuan Lyu , Guizhen He , Hong Zhang , Xiaoyu Zhang , Yong Liu","doi":"10.1016/j.sftr.2025.101631","DOIUrl":"10.1016/j.sftr.2025.101631","url":null,"abstract":"<div><div>Data can better measure progress towards achieving the Sustainable Development Goals (SDGs) in a way that is both inclusive and fair. However, several challenges remain, such as insufficient data and poor data quality. As a pivotal part of ensuring high-quality and trustworthy data for evidence-based decision-making and efficient measurement, data quality assessment plays a crucial role. This paper proposes a multidimensional data quality evaluation framework for SDGs data on the basis of fuzzy comprehensive evaluation theory. Nine quality dimensions are defined. Finally, we distribute questionnaires in 11 National Innovation Demonstration Zones for 2030 Sustainable Development Agenda in China to collect data for importance‒performance analysis (IPA). The results reveal that Huzhou has the highest SDG data quality score of 3.912, followed by Guilin with 3.663. Despite its high score, Huzhou’s data quality still has room for improvement. In contrast, Zaozhuang records the lowest SDG data quality score of 2.039, showing that it is particularly struggling in the ecological dimension. Notably, SDG9 exhibits the least variation (the smallest score disparity) among the 11 municipalities, followed closely by SDG8 and SDG10. IPA reveals the following four quadrants: the advantageous area, maintenance area, opportunity area, and focused improvement area. Xuzhou has the most indices in the advantageous area, whereas Ordos has the least in the opportunity area. The focused improvement area highlights the need for improvement in the quality dimensions of credibility and granularity. The study is valuable for data-based decision-making and continuous evaluation on SDG implementation at local, national, and even global scale.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101631"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-01-06DOI: 10.1016/j.sftr.2025.101632
Ayele Diriba , Dereje Derso , Hakim Hashim
In Ethiopia, agriculture is crucial for reducing poverty and improving food security among rural households. However, the country continues to face significant food insecurity and vulnerability to famine. Livelihood diversification beyond agriculture is often neglected, contributing less than 17 % to the economy, despite its potential benefits for food security. This research analyzes the impact of livelihood diversification on household food security using a mixed-methods approach. A cross-sectional survey was conducted with 384 households across four rural kebeles in the Agarfa district, utilizing semi-structured questionnaires, dietary diversity scores, focus group discussions, key informant interviews, and field observations. Descriptive statistics and inferential methods, including t-tests and Chi-square tests, were applied alongside an econometric model using Propensity Score Matching. The findings show that while households engage in various off-farm and non-farm livelihood strategies, Farm only still constitutes over 83 % of their income. The average Shannon Entropy Index of 0.77 indicates low diversification, with 14.84 % of households experiencing low food security. PSM results demonstrate that, livelihood diversification positively impacts dietary diversity, increasing up to 14.05 % for diversified households. These findings highlight the need for policies that promote livelihood diversification to enhance food security in rural Ethiopia.
{"title":"Effect of livelihood diversification on households’ food security: A propensity score analysis","authors":"Ayele Diriba , Dereje Derso , Hakim Hashim","doi":"10.1016/j.sftr.2025.101632","DOIUrl":"10.1016/j.sftr.2025.101632","url":null,"abstract":"<div><div>In Ethiopia, agriculture is crucial for reducing poverty and improving food security among rural households. However, the country continues to face significant food insecurity and vulnerability to famine. Livelihood diversification beyond agriculture is often neglected, contributing less than 17 % to the economy, despite its potential benefits for food security. This research analyzes the impact of livelihood diversification on household food security using a mixed-methods approach. A cross-sectional survey was conducted with 384 households across four rural kebeles in the Agarfa district, utilizing semi-structured questionnaires, dietary diversity scores, focus group discussions, key informant interviews, and field observations. Descriptive statistics and inferential methods, including <em>t</em>-tests and Chi-square tests, were applied alongside an econometric model using Propensity Score Matching. The findings show that while households engage in various off-farm and non-farm livelihood strategies, Farm only still constitutes over 83 % of their income. The average Shannon Entropy Index of 0.77 indicates low diversification, with 14.84 % of households experiencing low food security. PSM results demonstrate that, livelihood diversification positively impacts dietary diversity, increasing up to 14.05 % for diversified households. These findings highlight the need for policies that promote livelihood diversification to enhance food security in rural Ethiopia.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101632"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938607","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2026-01-07DOI: 10.1016/j.sftr.2026.101651
Wei Chen , Jing Quan , Yongjian Zhang , Yao Zhang
As an effective measure to solve the “urban disease”, smart cities have attracted great attention worldwide. A comprehensive and accurate evaluation of China’s smart cities not only helps to promote China’s smart city projects but also has important significance for other countries. This study first constructed an evaluation system widely applicable to China’s smart cities by reviewing the literature and policies. Then, TOPSIS and DEA were used to evaluate the performance and efficiency of 290 cities in China, and then AISM was used to classify 30 provinces to evaluate the construction levels of smart cities in China. The study results demonstrated that the overall performance of Chinese smart cities is insufficient, and the level of knowledge is low. There is no obvious relationship between urban performance and efficiency. Along different dimensions, there are significant differences between cities, presenting a polarized situation. The AISM results indicate that the adversarial hierarchy diagrams of 30 provinces are olive-shaped structures and pyramid-shaped structures. The evaluation results supplement comprehensive analysis of the development of smart cities in China. To some extent, the introduction of the AISM method promotes the development of smart city evaluation methods and improves the smart city evaluation system.
{"title":"Assessing the performance of smart cities in China: A TOPSIS and DEA approach","authors":"Wei Chen , Jing Quan , Yongjian Zhang , Yao Zhang","doi":"10.1016/j.sftr.2026.101651","DOIUrl":"10.1016/j.sftr.2026.101651","url":null,"abstract":"<div><div>As an effective measure to solve the “urban disease”, smart cities have attracted great attention worldwide. A comprehensive and accurate evaluation of China’s smart cities not only helps to promote China’s smart city projects but also has important significance for other countries. This study first constructed an evaluation system widely applicable to China’s smart cities by reviewing the literature and policies. Then, TOPSIS and DEA were used to evaluate the performance and efficiency of 290 cities in China, and then AISM was used to classify 30 provinces to evaluate the construction levels of smart cities in China. The study results demonstrated that the overall performance of Chinese smart cities is insufficient, and the level of knowledge is low. There is no obvious relationship between urban performance and efficiency. Along different dimensions, there are significant differences between cities, presenting a polarized situation. The AISM results indicate that the adversarial hierarchy diagrams of 30 provinces are olive-shaped structures and pyramid-shaped structures. The evaluation results supplement comprehensive analysis of the development of smart cities in China. To some extent, the introduction of the AISM method promotes the development of smart city evaluation methods and improves the smart city evaluation system.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101651"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145938704","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2025-12-12DOI: 10.1016/j.sftr.2025.101593
Cyrus Muriithi , Christine Kiria Chege , Issa Ouedraogo , Caroline Mwongera
Severe food insecurity in Senegal, exacerbated by climate shocks and weak infrastructure, underscores the need to understand the role of market vendors in food system resilience. Unlike producers, vendors remain understudied despite their central role in food access. This mixed-methods study examines how product diversity, measured using the Shannon-Wiener index, influences Market Vendor Adaptive Capacity (MVAC) among 691 vendors in Sedhiou and Tambacounda. Survey and interview data reveal that diversity enhances MVAC, particularly for small retail and open-air vendors offering both staple foods and nutrient-rich products. Vendor characteristics such as employing staff, extending credit, and participating in training further strengthen adaptability, while systemic constraints like poor infrastructure and high transport costs limit benefits, especially in rural areas. Results indicate that diversity functions less as an independent driver and more as a strategic outcome of vendor capacity, reframing its role within resilience theory. The study contributes by (1) linking product diversity to adaptive capacity, (2) identifying enabling and constraining factors, and (3) outlining policy directions, including infrastructure investment, financial support, and vendor training. Strengthening these areas can expand food access, bolster resilience, and advance Sustainable Development Goal 2 (Zero Hunger) in Senegal with implication for West Africa.
{"title":"The role of product diversification in enhancing market vendor adaptability and food-system resilience in Senegal, West Africa","authors":"Cyrus Muriithi , Christine Kiria Chege , Issa Ouedraogo , Caroline Mwongera","doi":"10.1016/j.sftr.2025.101593","DOIUrl":"10.1016/j.sftr.2025.101593","url":null,"abstract":"<div><div>Severe food insecurity in Senegal, exacerbated by climate shocks and weak infrastructure, underscores the need to understand the role of market vendors in food system resilience. Unlike producers, vendors remain understudied despite their central role in food access. This mixed-methods study examines how product diversity, measured using the Shannon-Wiener index, influences Market Vendor Adaptive Capacity (MVAC) among 691 vendors in Sedhiou and Tambacounda. Survey and interview data reveal that diversity enhances MVAC, particularly for small retail and open-air vendors offering both staple foods and nutrient-rich products. Vendor characteristics such as employing staff, extending credit, and participating in training further strengthen adaptability, while systemic constraints like poor infrastructure and high transport costs limit benefits, especially in rural areas. Results indicate that diversity functions less as an independent driver and more as a strategic outcome of vendor capacity, reframing its role within resilience theory. The study contributes by (1) linking product diversity to adaptive capacity, (2) identifying enabling and constraining factors, and (3) outlining policy directions, including infrastructure investment, financial support, and vendor training. Strengthening these areas can expand food access, bolster resilience, and advance Sustainable Development Goal 2 (Zero Hunger) in Senegal with implication for West Africa.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101593"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145748888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2025-12-09DOI: 10.1016/j.sftr.2025.101589
Qi Zhang , Alessia Grassi , Mauro Vallati
The global urbanisation trend is exacerbating environmental issues and demanding innovative solutions. In this context, the role of human behaviour is increasingly significant, hence it is crucial to increase awareness and promote behavioural change. This systematic literature review explores the critical intersection of sustainable mobility and climate change resilience within urban contexts, focusing on the transformative potential of gamification to drive behavioural change. Sustainable mobility mitigates climate impacts by reducing emissions, while climate change resilience ensures transport systems can withstand environmental disruptions. Integrating these two concepts is crucial for a climate-secure urban future.
The research findings highlight the underexplored potential of Artificial Intelligence techniques for tailoring the gaming experience to the user or context, the need for a more diverse geographical distribution of studies, and the lack of attention given to the characteristics and needs of target users. Further, this review identifies the lack of studies combining sustainable urban mobility and climate change resilience.
{"title":"Gamification and sustainability: A review of approaches for urban mobility and climate change resilience","authors":"Qi Zhang , Alessia Grassi , Mauro Vallati","doi":"10.1016/j.sftr.2025.101589","DOIUrl":"10.1016/j.sftr.2025.101589","url":null,"abstract":"<div><div>The global urbanisation trend is exacerbating environmental issues and demanding innovative solutions. In this context, the role of human behaviour is increasingly significant, hence it is crucial to increase awareness and promote behavioural change. This systematic literature review explores the critical intersection of sustainable mobility and climate change resilience within urban contexts, focusing on the transformative potential of gamification to drive behavioural change. Sustainable mobility mitigates climate impacts by reducing emissions, while climate change resilience ensures transport systems can withstand environmental disruptions. Integrating these two concepts is crucial for a climate-secure urban future.</div><div>The research findings highlight the underexplored potential of Artificial Intelligence techniques for tailoring the gaming experience to the user or context, the need for a more diverse geographical distribution of studies, and the lack of attention given to the characteristics and needs of target users. Further, this review identifies the lack of studies combining sustainable urban mobility and climate change resilience.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101589"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145749288","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2025-12-11DOI: 10.1016/j.sftr.2025.101586
J. Peter Clinch , Ciarán Deegan , J. Andrew Kelly
Building energy performance is a key metric in the context of decarbonising the built environment sector. Improving the energy efficiency and energy performance of homes will entail major investment decisions for governments, housing bodies and individuals. Investigating the relationship between house prices and Energy Performance Certificate ratings can inform the decision-making process for those energy efficiency investments, as well as the design and evaluation of home retrofit programmes and supports. Utilising a hedonic pricing methodology, this paper examines the influence energy efficiency attributes have on property list prices in Dublin, Ireland. The analysis is applied to a data set of over 11,000 properties in which property list prices from 2019–2022 are linked to factors pertaining to the quality and location of the property as well as the Irish BER system. The model assesses the monetary value of an uplift in BER, while controlling for factors relating to the home’s size, quality and location as well as the time of sale. Results indicate that a 10% improvement in BER performance is associated with a 0.6% increase in list price. While our results do not establish a causal relationship, these findings demonstrate a price premium of 2.6% for A and B rated homes as compared to D rated homes. In the context of an average 3-bed semi-detached home in Dublin, this translates to €12,200 of added capital value with potential relevance for individual investment decisions and policy support strategies.
{"title":"Building value: Hedonic pricing analysis of energy performance ratings and house prices in Dublin, Ireland","authors":"J. Peter Clinch , Ciarán Deegan , J. Andrew Kelly","doi":"10.1016/j.sftr.2025.101586","DOIUrl":"10.1016/j.sftr.2025.101586","url":null,"abstract":"<div><div>Building energy performance is a key metric in the context of decarbonising the built environment sector. Improving the energy efficiency and energy performance of homes will entail major investment decisions for governments, housing bodies and individuals. Investigating the relationship between house prices and Energy Performance Certificate ratings can inform the decision-making process for those energy efficiency investments, as well as the design and evaluation of home retrofit programmes and supports. Utilising a hedonic pricing methodology, this paper examines the influence energy efficiency attributes have on property list prices in Dublin, Ireland. The analysis is applied to a data set of over 11,000 properties in which property list prices from 2019–2022 are linked to factors pertaining to the quality and location of the property as well as the Irish BER system. The model assesses the monetary value of an uplift in BER, while controlling for factors relating to the home’s size, quality and location as well as the time of sale. Results indicate that a 10% improvement in BER performance is associated with a 0.6% increase in list price. While our results do not establish a causal relationship, these findings demonstrate a price premium of 2.6% for A and B rated homes as compared to D rated homes. In the context of an average 3-bed semi-detached home in Dublin, this translates to €12,200 of added capital value with potential relevance for individual investment decisions and policy support strategies.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101586"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145749292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-06-01Epub Date: 2025-12-19DOI: 10.1016/j.sftr.2025.101601
Wen Xu, Meysam Qadrdan
Decarbonising residential heating is essential for the UK to meet its climate targets, as home heating remains a major carbon emitter. This study employs an agent-based model (ABM), integrating logistic regression and utility theory, to simulate UK household adoption of heat pumps from 2021 to 2050. The model captures economic, psychological, and social factors, calibrated with national survey data and historical adoption trends to align long-term diffusion trajectories. Under a business-as-usual scenario reflecting 2025 policies and prices, the model projects 8.7 million households (30.8 %) will adopt heat pumps by 2050. Increasing government grants to £11,500 could raise adoption to 54 %, while a 20 % electricity price reduction may yield a further 12.2 % increase. Logistic regression identifies homeownership, age, cost awareness, and social influence as key predictors. While financial incentives accelerate uptake, they are insufficient alone to meet net-zero targets. Policies must also address behavioural barriers—such as limited awareness, negative perceptions, or perceived hassle—and leverage social networks by promoting peer learning, showcasing early adopters, and supporting community initiatives. This research highlights the utility of ABM for designing decarbonisation strategies that integrate economic, behavioural, and social dimensions of household decision-making.
{"title":"Agent-based modelling approach to explore efficacy of policies for heat pump uptake","authors":"Wen Xu, Meysam Qadrdan","doi":"10.1016/j.sftr.2025.101601","DOIUrl":"10.1016/j.sftr.2025.101601","url":null,"abstract":"<div><div>Decarbonising residential heating is essential for the UK to meet its climate targets, as home heating remains a major carbon emitter. This study employs an agent-based model (ABM), integrating logistic regression and utility theory, to simulate UK household adoption of heat pumps from 2021 to 2050. The model captures economic, psychological, and social factors, calibrated with national survey data and historical adoption trends to align long-term diffusion trajectories. Under a business-as-usual scenario reflecting 2025 policies and prices, the model projects 8.7 million households (30.8 %) will adopt heat pumps by 2050. Increasing government grants to £11,500 could raise adoption to 54 %, while a 20 % electricity price reduction may yield a further 12.2 % increase. Logistic regression identifies homeownership, age, cost awareness, and social influence as key predictors. While financial incentives accelerate uptake, they are insufficient alone to meet net-zero targets. Policies must also address behavioural barriers—such as limited awareness, negative perceptions, or perceived hassle—and leverage social networks by promoting peer learning, showcasing early adopters, and supporting community initiatives. This research highlights the utility of ABM for designing decarbonisation strategies that integrate economic, behavioural, and social dimensions of household decision-making.</div></div>","PeriodicalId":34478,"journal":{"name":"Sustainable Futures","volume":"11 ","pages":"Article 101601"},"PeriodicalIF":4.9,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145798083","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}