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En el instante 23 de junio de 2026, 15:46:42 UTC,
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Modificado el valor del campo
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a[{'bbox': '{"type": "Polygon", "coordinates": [[[-18.16, 27.64], [4.32, 27.64], [4.32, 43.79], [-18.16, 43.79], [-18.16, 27.64]]]}', 'centroid': '{"type": "Point", "coordinates": [-6.92, 35.715]}', 'text': 'España', 'uri': 'http://datos.gob.es/recurso/sector-publico/territorio/Pais/España'}]
en Environmental impact of road transport traffic. A case study for County of Lasi Road Network.
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| 78 | "notes": "The continuous increase of vehicle fleet along with the | 78 | "notes": "The continuous increase of vehicle fleet along with the | ||
| 79 | development of road transport networks has associated a wide range of | 79 | development of road transport networks has associated a wide range of | ||
| 80 | externalities. Main types of externalities refer to environmental | 80 | externalities. Main types of externalities refer to environmental | ||
| 81 | impact, expressed as Greenhouse Gas Emissions, raw materials | 81 | impact, expressed as Greenhouse Gas Emissions, raw materials | ||
| 82 | depletion, energy and fuel consumption or disruption of ecosystem | 82 | depletion, energy and fuel consumption or disruption of ecosystem | ||
| 83 | equilibrium, social impact, expressed as quality of people life, human | 83 | equilibrium, social impact, expressed as quality of people life, human | ||
| 84 | health and economic impact, expressed as economic growth. The current | 84 | health and economic impact, expressed as economic growth. The current | ||
| 85 | development of road transport promotes a growing interest for | 85 | development of road transport promotes a growing interest for | ||
| 86 | sustainable and eco-friendly transportation worldwide. In the context | 86 | sustainable and eco-friendly transportation worldwide. In the context | ||
| 87 | of a wide range of externalities, the present paper aims to emphasize | 87 | of a wide range of externalities, the present paper aims to emphasize | ||
| 88 | the ecological impact associated with road transportation traffic, | 88 | the ecological impact associated with road transportation traffic, | ||
| 89 | customized for specific road networks from North-East Region of | 89 | customized for specific road networks from North-East Region of | ||
| 90 | Romania and expressed in atmospheric polluting emissions. In | 90 | Romania and expressed in atmospheric polluting emissions. In | ||
| 91 | correlation with traffic pollution, the current research highlights | 91 | correlation with traffic pollution, the current research highlights | ||
| 92 | the exponential increase of the greenhouse gas effect and fuel | 92 | the exponential increase of the greenhouse gas effect and fuel | ||
| 93 | consumption, providing specific strategies, necessary for the | 93 | consumption, providing specific strategies, necessary for the | ||
| 94 | improvement of road network sustainability, based on the results of | 94 | improvement of road network sustainability, based on the results of | ||
| 95 | the undertaken study. The analysis of the environmental impact implies | 95 | the undertaken study. The analysis of the environmental impact implies | ||
| 96 | a quantitative assessment of energy consumption and CO2 emissions | 96 | a quantitative assessment of energy consumption and CO2 emissions | ||
| 97 | produced by road traffic. In this respect has been carried out the | 97 | produced by road traffic. In this respect has been carried out the | ||
| 98 | evaluation of atmospheric pollution produced by the traffic recorded | 98 | evaluation of atmospheric pollution produced by the traffic recorded | ||
| 99 | in 2010, using the annual daily average traffic for the year in | 99 | in 2010, using the annual daily average traffic for the year in | ||
| 100 | question. Based on the coefficients of traffic evolution it has been | 100 | question. Based on the coefficients of traffic evolution it has been | ||
| 101 | forecasted the pollution level for 2015, 2020 and 2030. The | 101 | forecasted the pollution level for 2015, 2020 and 2030. The | ||
| 102 | calculations have been performed based on the current configuration of | 102 | calculations have been performed based on the current configuration of | ||
| 103 | the vehicle fleet from NE Region of Romania, investigated for two | 103 | the vehicle fleet from NE Region of Romania, investigated for two | ||
| 104 | types of roads, namely a road with an optimum pavement condition in | 104 | types of roads, namely a road with an optimum pavement condition in | ||
| 105 | comparison with a road pavement with distresses. For the first case | 105 | comparison with a road pavement with distresses. For the first case | ||
| 106 | study, was considered a road pavement suitable rehabilitated, by | 106 | study, was considered a road pavement suitable rehabilitated, by | ||
| 107 | intervention works of maintenance and rehabilitation, applied to an | 107 | intervention works of maintenance and rehabilitation, applied to an | ||
| 108 | optimum moment. This case study presents the ideal situation, from | 108 | optimum moment. This case study presents the ideal situation, from | ||
| 109 | traffic sustainability point of view, since the vehicles speed | 109 | traffic sustainability point of view, since the vehicles speed | ||
| 110 | isn\u2019t influenced by the pavement condition, the road level of | 110 | isn\u2019t influenced by the pavement condition, the road level of | ||
| 111 | service is free flow. The evaluation performed for this particular | 111 | service is free flow. The evaluation performed for this particular | ||
| 112 | case study showed that, for the current vehicle fleet and average | 112 | case study showed that, for the current vehicle fleet and average | ||
| 113 | vehicles speed, the environmental impact expressed in pollutant | 113 | vehicles speed, the environmental impact expressed in pollutant | ||
| 114 | emissions registers the lowest values. For the second case study, the | 114 | emissions registers the lowest values. For the second case study, the | ||
| 115 | evaluation focused on the ecological impact associated with the road | 115 | evaluation focused on the ecological impact associated with the road | ||
| 116 | traffic, based on the current road network pavement condition. | 116 | traffic, based on the current road network pavement condition. | ||
| 117 | Considering the traffic congestion and pollution increase due to road | 117 | Considering the traffic congestion and pollution increase due to road | ||
| 118 | distresses, the studies in the present paper were focused on the | 118 | distresses, the studies in the present paper were focused on the | ||
| 119 | pollution level, specific to County of Ia\u015fi road network. For a | 119 | pollution level, specific to County of Ia\u015fi road network. For a | ||
| 120 | proper analysis of pollutant emissions, associated with road transport | 120 | proper analysis of pollutant emissions, associated with road transport | ||
| 121 | traffic, has been used European Environment Agency (EEA) computer | 121 | traffic, has been used European Environment Agency (EEA) computer | ||
| 122 | software COPERT 4. The software was developed to perform evaluations | 122 | software COPERT 4. The software was developed to perform evaluations | ||
| 123 | of air pollutant and greenhouse gas emissions specific to road | 123 | of air pollutant and greenhouse gas emissions specific to road | ||
| 124 | transport, the deliverables being consistent with the latest | 124 | transport, the deliverables being consistent with the latest | ||
| 125 | regulations in the field. The research objective was to deliver | 125 | regulations in the field. The research objective was to deliver | ||
| 126 | intervention strategies and scenarios, related with the high increase | 126 | intervention strategies and scenarios, related with the high increase | ||
| 127 | in vehicles fleet, usage of alternative fuels and CO2e emissions | 127 | in vehicles fleet, usage of alternative fuels and CO2e emissions | ||
| 128 | level, towards sustainable road transportation.", | 128 | level, towards sustainable road transportation.", | ||
| 129 | "notes_translated": { | 129 | "notes_translated": { | ||
| 130 | "en": "The continuous increase of vehicle fleet along with the | 130 | "en": "The continuous increase of vehicle fleet along with the | ||
| 131 | development of road transport networks has associated a wide range of | 131 | development of road transport networks has associated a wide range of | ||
| 132 | externalities. Main types of externalities refer to environmental | 132 | externalities. Main types of externalities refer to environmental | ||
| 133 | impact, expressed as Greenhouse Gas Emissions, raw materials | 133 | impact, expressed as Greenhouse Gas Emissions, raw materials | ||
| 134 | depletion, energy and fuel consumption or disruption of ecosystem | 134 | depletion, energy and fuel consumption or disruption of ecosystem | ||
| 135 | equilibrium, social impact, expressed as quality of people life, human | 135 | equilibrium, social impact, expressed as quality of people life, human | ||
| 136 | health and economic impact, expressed as economic growth. The current | 136 | health and economic impact, expressed as economic growth. The current | ||
| 137 | development of road transport promotes a growing interest for | 137 | development of road transport promotes a growing interest for | ||
| 138 | sustainable and eco-friendly transportation worldwide. In the context | 138 | sustainable and eco-friendly transportation worldwide. In the context | ||
| 139 | of a wide range of externalities, the present paper aims to emphasize | 139 | of a wide range of externalities, the present paper aims to emphasize | ||
| 140 | the ecological impact associated with road transportation traffic, | 140 | the ecological impact associated with road transportation traffic, | ||
| 141 | customized for specific road networks from North-East Region of | 141 | customized for specific road networks from North-East Region of | ||
| 142 | Romania and expressed in atmospheric polluting emissions. In | 142 | Romania and expressed in atmospheric polluting emissions. In | ||
| 143 | correlation with traffic pollution, the current research highlights | 143 | correlation with traffic pollution, the current research highlights | ||
| 144 | the exponential increase of the greenhouse gas effect and fuel | 144 | the exponential increase of the greenhouse gas effect and fuel | ||
| 145 | consumption, providing specific strategies, necessary for the | 145 | consumption, providing specific strategies, necessary for the | ||
| 146 | improvement of road network sustainability, based on the results of | 146 | improvement of road network sustainability, based on the results of | ||
| 147 | the undertaken study. The analysis of the environmental impact implies | 147 | the undertaken study. The analysis of the environmental impact implies | ||
| 148 | a quantitative assessment of energy consumption and CO2 emissions | 148 | a quantitative assessment of energy consumption and CO2 emissions | ||
| 149 | produced by road traffic. In this respect has been carried out the | 149 | produced by road traffic. In this respect has been carried out the | ||
| 150 | evaluation of atmospheric pollution produced by the traffic recorded | 150 | evaluation of atmospheric pollution produced by the traffic recorded | ||
| 151 | in 2010, using the annual daily average traffic for the year in | 151 | in 2010, using the annual daily average traffic for the year in | ||
| 152 | question. Based on the coefficients of traffic evolution it has been | 152 | question. Based on the coefficients of traffic evolution it has been | ||
| 153 | forecasted the pollution level for 2015, 2020 and 2030. The | 153 | forecasted the pollution level for 2015, 2020 and 2030. The | ||
| 154 | calculations have been performed based on the current configuration of | 154 | calculations have been performed based on the current configuration of | ||
| 155 | the vehicle fleet from NE Region of Romania, investigated for two | 155 | the vehicle fleet from NE Region of Romania, investigated for two | ||
| 156 | types of roads, namely a road with an optimum pavement condition in | 156 | types of roads, namely a road with an optimum pavement condition in | ||
| 157 | comparison with a road pavement with distresses. For the first case | 157 | comparison with a road pavement with distresses. For the first case | ||
| 158 | study, was considered a road pavement suitable rehabilitated, by | 158 | study, was considered a road pavement suitable rehabilitated, by | ||
| 159 | intervention works of maintenance and rehabilitation, applied to an | 159 | intervention works of maintenance and rehabilitation, applied to an | ||
| 160 | optimum moment. This case study presents the ideal situation, from | 160 | optimum moment. This case study presents the ideal situation, from | ||
| 161 | traffic sustainability point of view, since the vehicles speed | 161 | traffic sustainability point of view, since the vehicles speed | ||
| 162 | isn\u2019t influenced by the pavement condition, the road level of | 162 | isn\u2019t influenced by the pavement condition, the road level of | ||
| 163 | service is free flow. The evaluation performed for this particular | 163 | service is free flow. The evaluation performed for this particular | ||
| 164 | case study showed that, for the current vehicle fleet and average | 164 | case study showed that, for the current vehicle fleet and average | ||
| 165 | vehicles speed, the environmental impact expressed in pollutant | 165 | vehicles speed, the environmental impact expressed in pollutant | ||
| 166 | emissions registers the lowest values. For the second case study, the | 166 | emissions registers the lowest values. For the second case study, the | ||
| 167 | evaluation focused on the ecological impact associated with the road | 167 | evaluation focused on the ecological impact associated with the road | ||
| 168 | traffic, based on the current road network pavement condition. | 168 | traffic, based on the current road network pavement condition. | ||
| 169 | Considering the traffic congestion and pollution increase due to road | 169 | Considering the traffic congestion and pollution increase due to road | ||
| 170 | distresses, the studies in the present paper were focused on the | 170 | distresses, the studies in the present paper were focused on the | ||
| 171 | pollution level, specific to County of Ia\u015fi road network. For a | 171 | pollution level, specific to County of Ia\u015fi road network. For a | ||
| 172 | proper analysis of pollutant emissions, associated with road transport | 172 | proper analysis of pollutant emissions, associated with road transport | ||
| 173 | traffic, has been used European Environment Agency (EEA) computer | 173 | traffic, has been used European Environment Agency (EEA) computer | ||
| 174 | software COPERT 4. The software was developed to perform evaluations | 174 | software COPERT 4. The software was developed to perform evaluations | ||
| 175 | of air pollutant and greenhouse gas emissions specific to road | 175 | of air pollutant and greenhouse gas emissions specific to road | ||
| 176 | transport, the deliverables being consistent with the latest | 176 | transport, the deliverables being consistent with the latest | ||
| 177 | regulations in the field. The research objective was to deliver | 177 | regulations in the field. The research objective was to deliver | ||
| 178 | intervention strategies and scenarios, related with the high increase | 178 | intervention strategies and scenarios, related with the high increase | ||
| 179 | in vehicles fleet, usage of alternative fuels and CO2e emissions | 179 | in vehicles fleet, usage of alternative fuels and CO2e emissions | ||
| 180 | level, towards sustainable road transportation.", | 180 | level, towards sustainable road transportation.", | ||
| 181 | "es": "The continuous increase of vehicle fleet along with the | 181 | "es": "The continuous increase of vehicle fleet along with the | ||
| 182 | development of road transport networks has associated a wide range of | 182 | development of road transport networks has associated a wide range of | ||
| 183 | externalities. Main types of externalities refer to environmental | 183 | externalities. Main types of externalities refer to environmental | ||
| 184 | impact, expressed as Greenhouse Gas Emissions, raw materials | 184 | impact, expressed as Greenhouse Gas Emissions, raw materials | ||
| 185 | depletion, energy and fuel consumption or disruption of ecosystem | 185 | depletion, energy and fuel consumption or disruption of ecosystem | ||
| 186 | equilibrium, social impact, expressed as quality of people life, human | 186 | equilibrium, social impact, expressed as quality of people life, human | ||
| 187 | health and economic impact, expressed as economic growth. The current | 187 | health and economic impact, expressed as economic growth. The current | ||
| 188 | development of road transport promotes a growing interest for | 188 | development of road transport promotes a growing interest for | ||
| 189 | sustainable and eco-friendly transportation worldwide. In the context | 189 | sustainable and eco-friendly transportation worldwide. In the context | ||
| 190 | of a wide range of externalities, the present paper aims to emphasize | 190 | of a wide range of externalities, the present paper aims to emphasize | ||
| 191 | the ecological impact associated with road transportation traffic, | 191 | the ecological impact associated with road transportation traffic, | ||
| 192 | customized for specific road networks from North-East Region of | 192 | customized for specific road networks from North-East Region of | ||
| 193 | Romania and expressed in atmospheric polluting emissions. In | 193 | Romania and expressed in atmospheric polluting emissions. In | ||
| 194 | correlation with traffic pollution, the current research highlights | 194 | correlation with traffic pollution, the current research highlights | ||
| 195 | the exponential increase of the greenhouse gas effect and fuel | 195 | the exponential increase of the greenhouse gas effect and fuel | ||
| 196 | consumption, providing specific strategies, necessary for the | 196 | consumption, providing specific strategies, necessary for the | ||
| 197 | improvement of road network sustainability, based on the results of | 197 | improvement of road network sustainability, based on the results of | ||
| 198 | the undertaken study. The analysis of the environmental impact implies | 198 | the undertaken study. The analysis of the environmental impact implies | ||
| 199 | a quantitative assessment of energy consumption and CO2 emissions | 199 | a quantitative assessment of energy consumption and CO2 emissions | ||
| 200 | produced by road traffic. In this respect has been carried out the | 200 | produced by road traffic. In this respect has been carried out the | ||
| 201 | evaluation of atmospheric pollution produced by the traffic recorded | 201 | evaluation of atmospheric pollution produced by the traffic recorded | ||
| 202 | in 2010, using the annual daily average traffic for the year in | 202 | in 2010, using the annual daily average traffic for the year in | ||
| 203 | question. Based on the coefficients of traffic evolution it has been | 203 | question. Based on the coefficients of traffic evolution it has been | ||
| 204 | forecasted the pollution level for 2015, 2020 and 2030. The | 204 | forecasted the pollution level for 2015, 2020 and 2030. The | ||
| 205 | calculations have been performed based on the current configuration of | 205 | calculations have been performed based on the current configuration of | ||
| 206 | the vehicle fleet from NE Region of Romania, investigated for two | 206 | the vehicle fleet from NE Region of Romania, investigated for two | ||
| 207 | types of roads, namely a road with an optimum pavement condition in | 207 | types of roads, namely a road with an optimum pavement condition in | ||
| 208 | comparison with a road pavement with distresses. For the first case | 208 | comparison with a road pavement with distresses. For the first case | ||
| 209 | study, was considered a road pavement suitable rehabilitated, by | 209 | study, was considered a road pavement suitable rehabilitated, by | ||
| 210 | intervention works of maintenance and rehabilitation, applied to an | 210 | intervention works of maintenance and rehabilitation, applied to an | ||
| 211 | optimum moment. This case study presents the ideal situation, from | 211 | optimum moment. This case study presents the ideal situation, from | ||
| 212 | traffic sustainability point of view, since the vehicles speed | 212 | traffic sustainability point of view, since the vehicles speed | ||
| 213 | isn\u2019t influenced by the pavement condition, the road level of | 213 | isn\u2019t influenced by the pavement condition, the road level of | ||
| 214 | service is free flow. The evaluation performed for this particular | 214 | service is free flow. The evaluation performed for this particular | ||
| 215 | case study showed that, for the current vehicle fleet and average | 215 | case study showed that, for the current vehicle fleet and average | ||
| 216 | vehicles speed, the environmental impact expressed in pollutant | 216 | vehicles speed, the environmental impact expressed in pollutant | ||
| 217 | emissions registers the lowest values. For the second case study, the | 217 | emissions registers the lowest values. For the second case study, the | ||
| 218 | evaluation focused on the ecological impact associated with the road | 218 | evaluation focused on the ecological impact associated with the road | ||
| 219 | traffic, based on the current road network pavement condition. | 219 | traffic, based on the current road network pavement condition. | ||
| 220 | Considering the traffic congestion and pollution increase due to road | 220 | Considering the traffic congestion and pollution increase due to road | ||
| 221 | distresses, the studies in the present paper were focused on the | 221 | distresses, the studies in the present paper were focused on the | ||
| 222 | pollution level, specific to County of Ia\u015fi road network. For a | 222 | pollution level, specific to County of Ia\u015fi road network. For a | ||
| 223 | proper analysis of pollutant emissions, associated with road transport | 223 | proper analysis of pollutant emissions, associated with road transport | ||
| 224 | traffic, has been used European Environment Agency (EEA) computer | 224 | traffic, has been used European Environment Agency (EEA) computer | ||
| 225 | software COPERT 4. The software was developed to perform evaluations | 225 | software COPERT 4. The software was developed to perform evaluations | ||
| 226 | of air pollutant and greenhouse gas emissions specific to road | 226 | of air pollutant and greenhouse gas emissions specific to road | ||
| 227 | transport, the deliverables being consistent with the latest | 227 | transport, the deliverables being consistent with the latest | ||
| 228 | regulations in the field. The research objective was to deliver | 228 | regulations in the field. The research objective was to deliver | ||
| 229 | intervention strategies and scenarios, related with the high increase | 229 | intervention strategies and scenarios, related with the high increase | ||
| 230 | in vehicles fleet, usage of alternative fuels and CO2e emissions | 230 | in vehicles fleet, usage of alternative fuels and CO2e emissions | ||
| 231 | level, towards sustainable road transportation." | 231 | level, towards sustainable road transportation." | ||
| 232 | }, | 232 | }, | ||
| 233 | "num_resources": 1, | 233 | "num_resources": 1, | ||
| 234 | "num_tags": 2, | 234 | "num_tags": 2, | ||
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| 236 | "approval_status": "approved", | 236 | "approval_status": "approved", | ||
| 237 | "created": "2026-06-23T14:36:08.942021", | 237 | "created": "2026-06-23T14:36:08.942021", | ||
| 238 | "description": "", | 238 | "description": "", | ||
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