Methodology for Measuring Mobility Emissions with High Spatial Resolution: Case Study in Valencia, Spain
Climate change is a major global issue because transportation is a major source of pollutants and greenhouse gases that affect human health and air quality. However, to effectively prioritize and fund mitigating actions, decision-makers lack scientific rigor and diagnoses with sufficient spatial res...
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MDPI AG
2025-01-01
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| author | Carlos Jiménez García María Joaquina Porres de la Haza Eloina Coll Aliaga Victoria Lerma-Arce Edgar Lorenzo-Sáez |
| author_facet | Carlos Jiménez García María Joaquina Porres de la Haza Eloina Coll Aliaga Victoria Lerma-Arce Edgar Lorenzo-Sáez |
| author_sort | Carlos Jiménez García |
| collection | DOAJ |
| description | Climate change is a major global issue because transportation is a major source of pollutants and greenhouse gases that affect human health and air quality. However, to effectively prioritize and fund mitigating actions, decision-makers lack scientific rigor and diagnoses with sufficient spatial resolution. Based on the Origin-Destination Matrix (ODM), this study suggests a methodology to measure and identify mobility emissions (CO<sub>2</sub>, Nox, PM) at the neighborhood level with high spatial resolution. Testing of the methodology was performed in Valencia, Spain. Even though many studies calculate carbon footprint, few make use of precise geographic information and openly accessible data, and they frequently concentrate on entire cities rather than smaller areas. To determine all potential routes for each Origin-Destination (OD) trip, the process uses geostatistics to estimate daily trip activity data (kilometers traveled). The COPERT calculator methodology from the European Union is used to analyze these routes to calculate the total emissions and the distance traveled per neighborhood. Based on road infrastructure, the methodology determines which neighborhoods receive emissions and creates measures of equitable environmental responsibility. It also identifies short trips that might be replaced by cycling or walking, as well as possible improvements to public transportation. |
| format | Article |
| id | doaj-art-88ac114910d8436e8493d9b4fd8ab890 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-88ac114910d8436e8493d9b4fd8ab8902025-01-24T13:20:22ZengMDPI AGApplied Sciences2076-34172025-01-0115266910.3390/app15020669Methodology for Measuring Mobility Emissions with High Spatial Resolution: Case Study in Valencia, SpainCarlos Jiménez García0María Joaquina Porres de la Haza1Eloina Coll Aliaga2Victoria Lerma-Arce3Edgar Lorenzo-Sáez4ETSIGCT, Universitat Politècnica de València, 46022 Valencia, SpainITACA Research Institute, Universitat Politècnica de València, 46022 Valencia, SpainITACA Research Institute, Universitat Politècnica de València, 46022 Valencia, SpainITACA Research Institute, Universitat Politècnica de València, 46022 Valencia, SpainITACA Research Institute, Universitat Politècnica de València, 46022 Valencia, SpainClimate change is a major global issue because transportation is a major source of pollutants and greenhouse gases that affect human health and air quality. However, to effectively prioritize and fund mitigating actions, decision-makers lack scientific rigor and diagnoses with sufficient spatial resolution. Based on the Origin-Destination Matrix (ODM), this study suggests a methodology to measure and identify mobility emissions (CO<sub>2</sub>, Nox, PM) at the neighborhood level with high spatial resolution. Testing of the methodology was performed in Valencia, Spain. Even though many studies calculate carbon footprint, few make use of precise geographic information and openly accessible data, and they frequently concentrate on entire cities rather than smaller areas. To determine all potential routes for each Origin-Destination (OD) trip, the process uses geostatistics to estimate daily trip activity data (kilometers traveled). The COPERT calculator methodology from the European Union is used to analyze these routes to calculate the total emissions and the distance traveled per neighborhood. Based on road infrastructure, the methodology determines which neighborhoods receive emissions and creates measures of equitable environmental responsibility. It also identifies short trips that might be replaced by cycling or walking, as well as possible improvements to public transportation.https://www.mdpi.com/2076-3417/15/2/669carbon footprintemissionstrafficmobilityclimate changeorigin-destination matrix |
| spellingShingle | Carlos Jiménez García María Joaquina Porres de la Haza Eloina Coll Aliaga Victoria Lerma-Arce Edgar Lorenzo-Sáez Methodology for Measuring Mobility Emissions with High Spatial Resolution: Case Study in Valencia, Spain Applied Sciences carbon footprint emissions traffic mobility climate change origin-destination matrix |
| title | Methodology for Measuring Mobility Emissions with High Spatial Resolution: Case Study in Valencia, Spain |
| title_full | Methodology for Measuring Mobility Emissions with High Spatial Resolution: Case Study in Valencia, Spain |
| title_fullStr | Methodology for Measuring Mobility Emissions with High Spatial Resolution: Case Study in Valencia, Spain |
| title_full_unstemmed | Methodology for Measuring Mobility Emissions with High Spatial Resolution: Case Study in Valencia, Spain |
| title_short | Methodology for Measuring Mobility Emissions with High Spatial Resolution: Case Study in Valencia, Spain |
| title_sort | methodology for measuring mobility emissions with high spatial resolution case study in valencia spain |
| topic | carbon footprint emissions traffic mobility climate change origin-destination matrix |
| url | https://www.mdpi.com/2076-3417/15/2/669 |
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