Provision of payments for ecosystem services to reduce air pollution: Case of Tehran

IF 3.8 Q2 TRANSPORTATION Transportation Research Interdisciplinary Perspectives Pub Date : 2025-01-01 Epub Date: 2024-12-21 DOI:10.1016/j.trip.2024.101298
Morteza Tahamipour Zarandi, Mina Moghise
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Abstract

The negative impacts of air pollution and its environmental, economic and social damages to metropolises are among urban management challenges. One of the most economically effective tools for environmental management and pollution control is payments for ecosystem services (PES). In this study, we have proposed the framework and requirements of PES to reduce Tehran air pollution using one of the most practical methods for reducing emissions of gaseous pollutants i.e. replacing passive catalytic converters in light vehicles in Tehran. For this purpose, we have investigated the owners’ willingness to participate in PES, the cost of replacing the converters and Tehran residents’ willingness to pay to reduce air pollution. The study results showed that on average, 71.3 % of Tehran citizens in the study sample agreed to pay. The willingness to pay per person has been calculated at 912 thousand Rials per month. Also, a significant percentage of owners agree to participate voluntarily to replace catalytic converters. The data presented in this study provided the framework of PES to reduce Tehran air pollution through urban management institutions and government participation in financing under various scenarios.
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为生态系统服务付费以减少空气污染:德黑兰案例
空气污染的负面影响及其对大都市的环境、经济和社会损害是城市管理面临的挑战之一。环境管理和污染控制最经济有效的工具之一是生态系统服务付费(PES)。在这项研究中,我们提出了PES的框架和要求,以减少德黑兰的空气污染,使用最实用的方法之一来减少气体污染物的排放,即更换德黑兰轻型车辆的被动催化转化器。为此,我们调查了业主参与PES的意愿、更换转换器的成本以及德黑兰居民为减少空气污染而付费的意愿。研究结果显示,在研究样本中,平均有71.3%的德黑兰市民同意支付。按每人每月支付意愿计算为91.2万里亚尔。此外,相当大比例的车主同意自愿参与更换催化转换器。本研究中的数据提供了通过城市管理机构和政府参与各种情景下的融资来减少德黑兰空气污染的PES框架。
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来源期刊
Transportation Research Interdisciplinary Perspectives
Transportation Research Interdisciplinary Perspectives Engineering-Automotive Engineering
CiteScore
12.90
自引率
0.00%
发文量
185
审稿时长
22 weeks
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