Carbon emissions of urban rail transit in Chinese cities : A comprehensive analysis
Copyright © 2024 Elsevier B.V. All rights reserved..
Thoroughly exploring carbon emissions within Urban Rail Transit (URT) systems is crucial for effectively reducing emissions while satisfying increasing energy demands. This study evaluated the spatiotemporal characteristics of carbon emissions in China's URT sector. Tapio decoupling and the Logarithmic Mean Divisia Index, used to scrutinize decoupling states and identify principal contributing factors, respectively, revealed the following: (1) Total emissions increased by 217 %, with significant spatiotemporal heterogeneity from 2015 to 2022. Type I and Type II cities accounted for >85 % of emissions but exhibited lower carbon intensity. (2) Most URT cities showed expansion-negative decoupling between economic growth and carbon emissions. Developed regions show strong decoupling, and the overall decoupling status improved in 2021-2022. (3) Emissions growth was influenced by energy intensity and economic activity, and transportation intensity was the main inhibitor for Type I cities and a driving force for other cities. Finally, recommendations for carbon emission reduction in the URT industry are proposed.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:921 |
|---|---|
| Enthalten in: |
The Science of the total environment - 921(2024) vom: 15. März, Seite 171092 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Pu, Jing [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
Carbon emissions |
|---|
| Anmerkungen: |
Date Revised 09.03.2024 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
|---|
| doi: |
10.1016/j.scitotenv.2024.171092 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM368775666 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM368775666 | ||
| 003 | DE-627 | ||
| 005 | 20240309232327.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240229s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.scitotenv.2024.171092 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1321.xml |
| 035 | |a (DE-627)NLM368775666 | ||
| 035 | |a (NLM)38387573 | ||
| 035 | |a (PII)S0048-9697(24)01231-2 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Pu, Jing |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Carbon emissions of urban rail transit in Chinese cities |b A comprehensive analysis |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Revised 09.03.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Copyright © 2024 Elsevier B.V. All rights reserved. | ||
| 520 | |a Thoroughly exploring carbon emissions within Urban Rail Transit (URT) systems is crucial for effectively reducing emissions while satisfying increasing energy demands. This study evaluated the spatiotemporal characteristics of carbon emissions in China's URT sector. Tapio decoupling and the Logarithmic Mean Divisia Index, used to scrutinize decoupling states and identify principal contributing factors, respectively, revealed the following: (1) Total emissions increased by 217 %, with significant spatiotemporal heterogeneity from 2015 to 2022. Type I and Type II cities accounted for >85 % of emissions but exhibited lower carbon intensity. (2) Most URT cities showed expansion-negative decoupling between economic growth and carbon emissions. Developed regions show strong decoupling, and the overall decoupling status improved in 2021-2022. (3) Emissions growth was influenced by energy intensity and economic activity, and transportation intensity was the main inhibitor for Type I cities and a driving force for other cities. Finally, recommendations for carbon emission reduction in the URT industry are proposed | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Carbon emissions | |
| 650 | 4 | |a Carbon intensity | |
| 650 | 4 | |a Decoupling analysis | |
| 650 | 4 | |a LMDI decomposition | |
| 650 | 4 | |a Spatiotemporal analysis | |
| 650 | 4 | |a Urban rail transit | |
| 700 | 1 | |a Cai, Chen |e verfasserin |4 aut | |
| 700 | 1 | |a Guo, Ru |e verfasserin |4 aut | |
| 700 | 1 | |a Su, Jiangchuan |e verfasserin |4 aut | |
| 700 | 1 | |a Lin, Ruimin |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Jia |e verfasserin |4 aut | |
| 700 | 1 | |a Peng, Kaiming |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Chaoguang |e verfasserin |4 aut | |
| 700 | 1 | |a Huang, Xiangfeng |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t The Science of the total environment |d 1972 |g 921(2024) vom: 15. März, Seite 171092 |w (DE-627)NLM000215562 |x 1879-1026 |7 nnns |
| 773 | 1 | 8 | |g volume:921 |g year:2024 |g day:15 |g month:03 |g pages:171092 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.scitotenv.2024.171092 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 921 |j 2024 |b 15 |c 03 |h 171092 | ||