Mitigation synergy and policy implications in urban transport sector
A case study of Xiamen, China
Bibliographic Data
| ID | 15546212 |
|---|---|
| Authors | Yahui Bian (Chinese Academy of Sciences), Jianyi Lin (0000-0003-4201-8746, Chinese Academy of Sciences, corresponding author), Hui Han (0000-0003-3811-5682, Institute of Urban Environment), Shuifa Lin (Institute of Urban Environment, corresponding author), Huaqing Li (0000-0001-7389-1703, Institute of Urban Environment, corresponding author), Xiang Chen (0000-0002-5045-9253) |
| Year | 2023 |
| Volume | 18 |
| Issue | 8 |
| Pages | 084030-084030 |
| Publication date | 2023-07-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Environmental Research Letters (JOURNAL) |
| Journal identifiers | ISSN: 1748-9326 • E-ISSN: 1748-9326 |
| Publisher | IOP Publishing (PUBLISHER • GB) |
| DOI | 10.1088/1748-9326/ace91e |
| OpenAlex | W4384928010 |
| Language | EN |
| Citations received | 1 |
| References cited | 33 |
The urban transport sector is one of most significant contributors to greenhouse gas (GHG) and air pollutant (AP) emissions. To achieve co-benefits of GHG and AP emission reductions, a synergistic mitigation approach targeting both climate change and air pollution has gained more attention. In this study, we evaluate mitigation synergy and policy implications for GHGs and nine APs, namely, sulfur dioxide (SO 2 ), nitrogen oxides (NO x ), carbon monoxide (CO), particulate matters (PM 10 and PM 2.5 ), black carbon (BC), organic carbon (OC), volatile organic compounds (VOCs) and ammonia (NH 3 ), in the transport sector of Xiamen, China, during the 2013–2060 period using the Low Emissions Analysis Platform model and quantitative analysis methods. Results show that light-duty vehicles, river boats, buses and heavy-duty trucks are significant common sources of GHG and AP emissions. Road sector abatement during 2013–2020 was most prominent, especially for CO, NO X , VOCs and GHGs. In this sector, guide green travel (GGT) and adjust energy structure (AES) are dominant measures for mitigation synergy between GHGs and APs. From 2021 to 2060, emission pathways for GHGs, SO 2 , CO, VOCs and NH 3 under optimize transport structure (OTS), AES and GGT scenarios will decrease markedly. Their emissions will peak soon relative to those under business as usual scenario. Additionally, the potential of mitigation synergy may mainly be attributed to the road and shipping sectors under AES scenario, which is the most effective in reducing PM 10 , PM 2.5 , BC and OC emissions; the mitigation potential under the AES scenario for GHGs and other APs is nearly 1–4 times as high as that under OTS and GGT scenarios. Therefore, mitigation synergy, especially in adjusting the energy structure for the transport sector, is essential for achieving the simultaneous goals of the ‘blue sky’ and ‘carbon peaking and neutrality’
Air pollution · Climate change mitigation · Environmental protection · Greenhouse gas · Natural resource economics · Particulates · Pollutant · Road transport · Transport engineering · Truck · Air Quality and Health Impacts · Atmospheric chemistry and aerosols · Chemistry · Engineering · Environmental Science · Vehicle emissions and performance · Environmental Engineering
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Carbon dioxide mitigation co-effect analysis of clean air policies
The global burden of transportation tailpipe emissions on air pollution-related mortality in 2010 and 2015
Climate co-benefits of air quality and clean energy policy in India
China’s CO2 peak before 2030 implied from characteristics and growth of cities
| Unique citing works | 1 |
|---|---|
| Citations per year | 1 |
| Citation span | 2026 - 2026 (1) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 1 |