Impact Assessment of Short-Term Interventions on Air Quality in a Megacity: A Case Study on Odd-Even Policy Implemented in Delhi City

Impact Assessment of Short-Term Interventions on Air Quality in a Megacity: A Case Study on Odd-Even Policy Implemented in Delhi City
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特大城市空气质量短期干预措施的影响评估:德里市实施的单偶政策案例研究

DOI:
10.1007/s40030-021-00559-4
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发表时间:
2021
期刊:
Series A
影响因子:
--
通讯作者:
Alshetty D
Alshetty D
中科院分区:
--
文献类型:
--
作者:
Alshetty D

文献摘要

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本研究评估了德里市实施的奇偶 (O/E) 汽车配给计划的影响。在单双政策实施期间和之后,测量了中央商务区(UC1)、机构区(UC2)和住宅区(UC3)的选定城市走廊(UC)的交通数据、环境空气质量、车速和尾气排放。干预措施使 UC1、UC2 和 UC3 的高峰时段交通流量分别减少了 27.6%、25% 和 25%。由于平均速度的提高和随后怠速时间的减少,所有 UC 的每次行程平均排放量均有所下降。与 O/E 后结果相比,O/E 计划期间机构区域 (UC2) 的环境颗粒物 (PM) 浓度较低;然而,其他两个地点的 PM 值较高。 UC1 和 UC3 环境 PM 浓度的增加可归因于 O/E 方案期间非废气排放的相应增加。本研究的结果表明,干预措施对尾气排放产生了积极影响,但对非废气排放产生了负面影响,因为在 O/E 政策期间,道路灰尘的重新悬浮对德里环境 PM 浓度产生了显着影响。现场观察表明,如果没有人们的参与和参与,奇偶这样的干预措施就无法成功实施和执行。
Impact of the odd–even (O/E) car rationing scheme implemented in Delhi city was assessed in this study. Traffic data, ambient air quality, vehicle speed and tailpipe emissions were measured along chosen urban corridors (UC) of the central business area (UC1), institutional area (UC2), and residential area (UC3), during and post-odd–even policy implementation. The intervention resulted in reduction of peak hour traffic flow by 27.6%, 25% and 25% at UC1, UC2 and UC3, respectively. The average emissions per trip decreased at all the UCs due to increase in the average speed and subsequent reduced idling time. The ambient Particulate Matter (PM) concentration at institutional area (UC2) was found to be lower during the O/E scheme as compared to post-O/E results; however, the PM values were observed to be higher in the other two locations. The increase in ambient PM concentrations at UC1 and UC3 can be attributed to a proportionate increase in non-exhaust emissions during the O/E scheme. The findings of present study reveal that the intervention had a positive impact on tailpipe emissions but a negative influence on non-exhaust emissions, as resuspension of road dust was contributing significantly ambient PM concentrations in Delhi during the O/E policy. Field observations revealed that interventions like odd–even cannot be successfully implemented and executed without people's engagement and participation.