Methodology for atmospheric emission and energy consumption inventory in urban areas. Application to Seville

被引:0
|
作者
Racero Moreno, Jesús [1 ]
Eguía Saunas, Ignacio [1 ]
Guerrero López, Femando [2 ]
Bada Tomás, Manuel [3 ]
机构
[1] Dpto de Organización Industrial y Gestión de Empresas, Escuela Superior de Ingenieros de Sevilla, Universidad de Sevilla, Spain
[2] Técnico Área de Movilidad Sostenible, ISOIN
[3] Jefe de Proyecto Área de Movilidad Sostenible, ISOIN
来源
Carreteras | 2009年 / 4卷 / 167期
关键词
Pollution control - Decision support systems - Artificial intelligence - Sustainable development - Urban transportation;
D O I
暂无
中图分类号
学科分类号
摘要
Energy and transport are indispensable ingredients for economic and social development. At the same time conventional forms of energy production, distribution and consumption as well as sustainable transport and mobility patterns are linked to environmental degradation. The last decade, the cities growth and spread has contributed to increase the pollution and energy consumption. The approaches are aimed to reduce the traffic flow through plans for sustainable mobility. This work shows a decision support system able to help local administrators in reducing the impact of air pollution due to urban traffic. The method designed is a framework, including a transportation planning tool and a comprehensive model to estimate pollutants emissions. The hourly traffic flow data is obtained from transportation planning, and the emission model integrated is based on COPERT methodology. Detail traffic data have been collected and analyzed from the city of Seville to test the methodology.
引用
收藏
页码:61 / 75
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