Aboulnaga et al. [60] | Simulation using ENVI-met 3.1 and Design Builder 2.1 | Metrological data, urban form data, passive cooling design configurations, and climate change scenarios for 2016 and 2080 | 2016–2080 | ✔ | ✔ | ✔ |
Alonso-Marroquin and Qadir [61] | Experimental Analysis | Electricity, ambient sensors | December 2021–February 2023 | ✔ | | |
Andreotti et al. [62] | Hydrothermal monitoring and simulation | Temperature, humidity, thermal properties, and hydrothermal simulations | 2019–2020 | | | |
Antuña-Rozado et al. [63] | Qualitative analysis | Demographic, socio-economic, environmental, and stakeholder perspectives data | 1987–2019 | ✔ | ✔ | ✔ |
Bánkuti and Zanatyné Uitz [35] | Practical implementation analysis | Historical data on district heating system, energy savings, cost, and greenhouse gas emissions in Kaposvár | 1990s–2013 | ✔ | ✔ | ✔ |
Barakat and Aboulnaga [64] | Environmentally centered approach and qualitative environmental assessment | Data collection, analyses, and qualitative environmental assessments | Not specified | ✔ | ✔ | ✔ |
Besner et al. [65] | Literature Review and Analysis | Key performance indicators, literature-based indices, case study data, and comparative metrics | Not specified | ✔ | ✔ | ✔ |
Bieber et al. [4] | Case-study analysis | Population, technology costs/emissions, water/climate, policies, crop yields/land use | 2017–2030 | ✔ | ✔ | ✔ |
Bridge et al. [66] | Conceptual analysis | Seminar series on the UK’s low-carbon energy transition policies and geographical impacts | 2009–2011 | ✔ | ✔ | ✔ |
Bruck et al. [67] | Statistical data analysis | CO2 emissions and energy consumption data from government and European databases | 1990–2018 | ✔ | ✔ | ✔ |
Daioglou et al. [36] | Integrated Assessment Modeling | Regional energy system model projections of residential energy demand and building stocks data across 26 world regions | 2020–2100 | ✔ | ✔ | ✔ |
De Rosa et al. [68] | Literature Review | Urban energy consumption and carbon emissions data from building and transportation sectors | 2010–2020 | ✔ | ✔ | ✔ |
Delmastro et al. [69] | Geographical Information Systems (GIS) integrated modeling | Geo-referenced building data, energy consumption data, and socio-economic data | 2010 | ✔ | ✔ | ✔ |
Di Matteo et al. [27] | Energy Analysis, Waste Characterization | Substrate flow rate, biogas yield, and auxiliaries’ consumption | Not specified | ✔ | ✔ | ✔ |
Ferrante [70] | Literature Review and Case Study | Energy performance data of traditional buildings, analysis of passive cooling techniques, and application examples from previous research | Not specified | ✔ | ✔ | ✔ |
Formolli et al. [28] | Systematic Literature Review | Literature on solar accessibility in high-latitude urban environments | 2010–2022 | ✔ | ✔ | ✔ |
Gagliano et al. [71] | Dynamic simulations with DesignBuilder | Thermal properties of building materials, climate data for Catania, Italy, building geometry, and operational schedules | One year (annual simulation) | ✔ | ✔ | ✔ |
Jamil and Pearce [72] | Policy Analysis | | Not specified | ✔ | ✔ | ✔ |
Jovović et al. [73] | Random-effects logit model | | 2000–2020 | | | ✔ |
Karches [74] | Numerical Modeling and Analysis | | 2020–2023 | ✔ | | ✔ |
Kılkış and Kılkış [75] | Exergy Analysis | | Not specified | ✔ | ✔ | |
Koepke et al. [76] | Governance Modalities Framework | | 1999–2022 | ✔ | ✔ | ✔ |
Komendantova et al. [77] | Content Analysis | | Not specified | | | ✔ |
Korkovelos et al. [78] | Geospatial Modeling | | 2018–2030 | ✔ | ✔ | ✔ |
Kretschmer et al. [79] | Stakeholder Analysis and Interviews | | 2010–2018 | ✔ | ✔ | ✔ |
Lazaro et al. [80] | Case study analysis and theoretical exploration | Case studies on urban-rural relationships, circular economy, institutional perspectives, logistics, urban food production, and food waste reduction | Not specified | ✔ | ✔ | ✔ |
Leone et al. [37] | Literature Review, Questionnaire Analysis | Questionnaires, literature review, and interviews with project representatives | Not specified | ✔ | ✔ | ✔ |
Longe [81] | Qualitative Interviews and Surveys | Structured interviews and Google forms | 2019–2021 | ✔ | ✔ | ✔ |
Malinauskaite et al. [82] | Literature Review and Analysis | National waste management plans, governmental reports, Eurostat, and EU reports | 2000–2015 | ✔ | ✔ | ✔ |
Mastrolonardo [83] | Multi-stakeholder approach, strategic planning | Accident records, stakeholder feedback | 1993–2003, 2020–2022 | ✔ | ✔ | ✔ |
Mata-Lima et al. [24] | Governance Modalities Framework | Literature review, relevant factors on waste and WtE technologies, and synthesis of environmental impacts | Not specified | ✔ | ✔ | ✔ |
Mauree et al. [84] | Comprehensive literature review, tool analysis | Selected papers related to urban climate, urban heat island, urban energy demand, urban energy systems, outdoor thermal comfort, and climate change | 1979–2019 | ✔ | ✔ | ✔ |
Midilli et al. [25] | Energy, exergy, and exergetic sustainability analysis | Thermodynamic analysis results from a case study on plastic gasification processes | Not specified | ✔ | ✔ | ✔ |
Mika and Goudz [85] | Survey and Meta-analysis | Quantitative Survey Data | 2016–2019 | ✔ | ✔ | ✔ |
Nardecchia et al. [86] | Energy/Exergy Analysis | Building in Rome | 2022 | ✔ | ✔ | |
Ochoa et al. [87] | Quantitative analysis | 2015 Intercensal Survey (IS) by the National Institute of Statistics and Geography of Mexico (INEGI) and raster images of climate data published by INEGI | 2015–2020 | | | ✔ |
Padovan and Arrobbio [88] | Empirical investigation, socio-technical evaluation | Interviews, focus groups | Not specified | ✔ | ✔ | ✔ |
Palmas et al. [89] | Integrated Energy Planning | Developed bioenergy assessment method, surveyed experts for sustainable location criteria | Not specified | ✔ | ✔ | ✔ |
Papa et al. [90] | Development and application of the Urban Saving Energy Model (UrbanSEM) | Energy consumption data at the neighborhood scale | Not specified | ✔ | ✔ | ✔ |
Pardo-Bosch et al. [91] | Case study analysis | Developed city business model using Value Proposition Canvas (VPC), Value Creation Ecosystem (VCE), and City Model Canvas (CMC), validated through case study | 2020–2021 | ✔ | ✔ | ✔ |
Persson et al. [92] | Economic and Physical Suitability Analysis | GIS-based improvement of distribution cost model | 2015 | ✔ | ✔ | ✔ |
Qeqe et al. [93] | Econometric Analysis | Data from 2000 to 2018 on electricity prices and household expenditures in South Africa | 2000–2018 | ✔ | ✔ | ✔ |
Sewilam and Nasr [94] | Case study analysis | Historical and observational data related to desalination projects and agricultural practices in the Arab region | 1970s onwards | ✔ | ✔ | ✔ |
Sezer et al. [95] | Governance Modalities Framework | Data related to urban microclimates and building energy performance | 2012–2021 | ✔ | ✔ | ✔ |
Singh and Hachem-Vermette [96] | Resilience Analysis Methodology | Data related to neighborhood configurations, energy outage scenarios, and infrastructure and energy resilience indicators | Not specified | | | ✔ |
Tlili et al. [97] | Scenario analysis, multi-criteria analysis | French organizations such as RTE, ADEME, and ANCRE, as well as geographic and land/ocean eligibility data for renewable energy installations across France | Not specified | ✔ | ✔ | ✔ |
Yigitcanlar et al. [98] | Interdisciplinary Literature Review | Data on neighborhood configurations, energy outage scenarios, and infrastructure and energy resilience indicators to study the sustainable development of smart cities | Not specified | ✔ | ✔ | ✔ |