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A Combined MOIP-MCDA Approach to Building and Screening Atmospheric Pollution Control Strategies in Urban Regions

机译:结合MOIP-MCDA方法建立和筛选城市大气污染控制策略

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This article presents a methodological approach for the formulation of control strategies capable of reducing atmospheric pollution at the standards set by European legislation. The approach was implemented in the greater area of Thessaloniki and was part of a project aiming at the compliance with air quality standards in five major cities in Greece. The methodological approach comprises two stages: in the first stage, the availability of several measures contributing to a certain extent to reducing atmospheric pollution indicates a combinatorial problem and favors the use of Integer Programming. More specifically, Multiple Objective Integer Programming is used in order to generate alternative efficient combinations of the available policy measures on the basis of two conflicting objectives: public expenditure minimization and social acceptance maximization. In the second stage, these combinations of control measures (i.e., the control strategies) are then comparatively evaluated with respect to a wider set of criteria, using tools from Multiple Criteria Decision Analysis, namely, the well-known PROMETHEE method. The whole procedure is based on the active involvement of local and central authorities in order to incorporate their concerns and preferences, as well as to secure the adoption and implementation of the resulting solution.
机译:本文介绍了一种方法方法,该方法用于制定能够按照欧洲法规设定的标准减少大气污染的控制策略。该方法已在塞萨洛尼基的更大地区实施,并且是旨在符合希腊五个主要城市的空气质量标准的项目的一部分。该方法学方法包括两个阶段:在第一阶段,在一定程度上有助于减少大气污染的几种措施的可用性表明了组合问题,并赞成使用整数编程。更具体地说,使用多目标整数编程是为了基于两个相互冲突的目标(可用的公共支出最小化和社会接受度最大化)来生成可用策略措施的替代有效组合。在第二阶段,然后使用多准则决策分析中的工具,即众所周知的PROMETHEE方法,针对一组更广泛的准则对这些控制措施(即控制策略)组合进行比较评估。整个程序基于地方和中央主管部门的积极参与,以便纳入他们的关注和偏好,并确保所采用的解决方案得到采用和实施。

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