Identifying urban, transportation, and socioeconomic characteristics across US zip codes affecting CO2 emissions: A decision tree analysis
Understanding the factors contributing to CO2 emissions is pivotal for informed policy-making and sustainable urban development. This study probes the interconnections between urban attributes, transportation patterns, and socioeconomic factors concerning CO2 emissions using Decision Tree analysis a...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-06-01
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| Series: | Energy and Built Environment |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666123324000102 |
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| author | Maged Zagow Marwa Elbany Ahmed Mahmoud Darwish |
| author_facet | Maged Zagow Marwa Elbany Ahmed Mahmoud Darwish |
| author_sort | Maged Zagow |
| collection | DOAJ |
| description | Understanding the factors contributing to CO2 emissions is pivotal for informed policy-making and sustainable urban development. This study probes the interconnections between urban attributes, transportation patterns, and socioeconomic factors concerning CO2 emissions using Decision Tree analysis across a substantial dataset of US zip codes. The dataset was carefully prepared to ensure accuracy and relevance, considering temporal, geographical, and socioeconomic heterogeneity. The Decision Tree algorithm was applied iteratively to evaluate variable interactions and identify critical thresholds that influence carbon emissions. The findings of this study shed light on the key drivers of CO2 emissions across US zip codes. The analysis reveals significant variations in the relative importance of different factors in different regions, emphasizing the need for localized and tailored strategies to address carbon reduction targets effectively. The research provides a more holistic understanding that can drive effective urban planning and energy policies, ultimately contributing to the global effort to reduce carbon emissions and combat climate change. The findings from this research underscore the importance of multidisciplinary approaches in addressing environmental challenges and highlight the necessity for continuous innovation in analytical methodologies to keep pace with the evolving urban landscapes. |
| format | Article |
| id | doaj-art-0a820ec093a1484da6b9b3fd337c68e0 |
| institution | Kabale University |
| issn | 2666-1233 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Energy and Built Environment |
| spelling | doaj-art-0a820ec093a1484da6b9b3fd337c68e02025-02-08T05:01:12ZengKeAi Communications Co., Ltd.Energy and Built Environment2666-12332025-06-0163484494Identifying urban, transportation, and socioeconomic characteristics across US zip codes affecting CO2 emissions: A decision tree analysisMaged Zagow0Marwa Elbany1Ahmed Mahmoud Darwish2Faculty of Engineering, Tanta University, Tanta 31733, Egypt; Faculty of Architecture, Galala University, Suez 43727, EgyptTransportation and Traffic Engineering, Civil Engineering Department, Faculty of Engineering, Port Said University, Port Said 42526, EgyptTransportation Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, Alexandria 21544, Egypt; Corresponding author.Understanding the factors contributing to CO2 emissions is pivotal for informed policy-making and sustainable urban development. This study probes the interconnections between urban attributes, transportation patterns, and socioeconomic factors concerning CO2 emissions using Decision Tree analysis across a substantial dataset of US zip codes. The dataset was carefully prepared to ensure accuracy and relevance, considering temporal, geographical, and socioeconomic heterogeneity. The Decision Tree algorithm was applied iteratively to evaluate variable interactions and identify critical thresholds that influence carbon emissions. The findings of this study shed light on the key drivers of CO2 emissions across US zip codes. The analysis reveals significant variations in the relative importance of different factors in different regions, emphasizing the need for localized and tailored strategies to address carbon reduction targets effectively. The research provides a more holistic understanding that can drive effective urban planning and energy policies, ultimately contributing to the global effort to reduce carbon emissions and combat climate change. The findings from this research underscore the importance of multidisciplinary approaches in addressing environmental challenges and highlight the necessity for continuous innovation in analytical methodologies to keep pace with the evolving urban landscapes.http://www.sciencedirect.com/science/article/pii/S2666123324000102Sustainable developmentDecision Tree (DT)CO2 emissionsSocioeconomic factorsUS zip codes |
| spellingShingle | Maged Zagow Marwa Elbany Ahmed Mahmoud Darwish Identifying urban, transportation, and socioeconomic characteristics across US zip codes affecting CO2 emissions: A decision tree analysis Energy and Built Environment Sustainable development Decision Tree (DT) CO2 emissions Socioeconomic factors US zip codes |
| title | Identifying urban, transportation, and socioeconomic characteristics across US zip codes affecting CO2 emissions: A decision tree analysis |
| title_full | Identifying urban, transportation, and socioeconomic characteristics across US zip codes affecting CO2 emissions: A decision tree analysis |
| title_fullStr | Identifying urban, transportation, and socioeconomic characteristics across US zip codes affecting CO2 emissions: A decision tree analysis |
| title_full_unstemmed | Identifying urban, transportation, and socioeconomic characteristics across US zip codes affecting CO2 emissions: A decision tree analysis |
| title_short | Identifying urban, transportation, and socioeconomic characteristics across US zip codes affecting CO2 emissions: A decision tree analysis |
| title_sort | identifying urban transportation and socioeconomic characteristics across us zip codes affecting co2 emissions a decision tree analysis |
| topic | Sustainable development Decision Tree (DT) CO2 emissions Socioeconomic factors US zip codes |
| url | http://www.sciencedirect.com/science/article/pii/S2666123324000102 |
| work_keys_str_mv | AT magedzagow identifyingurbantransportationandsocioeconomiccharacteristicsacrossuszipcodesaffectingco2emissionsadecisiontreeanalysis AT marwaelbany identifyingurbantransportationandsocioeconomiccharacteristicsacrossuszipcodesaffectingco2emissionsadecisiontreeanalysis AT ahmedmahmouddarwish identifyingurbantransportationandsocioeconomiccharacteristicsacrossuszipcodesaffectingco2emissionsadecisiontreeanalysis |