IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i10p7825-d1143679.html
   My bibliography  Save this article

Quantifying the Environmental Impact of Vehicle Emissions Due to Traffic Diversion Plans for Road Infrastructure Construction Projects: A Case Study in China

Author

Listed:
  • Mingjun Ma

    (School of Civil Engineering, Chongqing University, Chongqing 400045, China
    National Centre for International Research of Low-Carbon and Green Buildings, Ministry of Science and Technology, Chongqing University, Chongqing 400045, China
    No.3 Construction Corporation Limited of Chongqing Construction Engineering Group, Chongqing 401122, China)

  • Meng Liu

    (School of Civil Engineering, Chongqing University, Chongqing 400045, China
    National Centre for International Research of Low-Carbon and Green Buildings, Ministry of Science and Technology, Chongqing University, Chongqing 400045, China)

  • Ziqiao Li

    (School of Civil Engineering, Chongqing University, Chongqing 400045, China
    National Centre for International Research of Low-Carbon and Green Buildings, Ministry of Science and Technology, Chongqing University, Chongqing 400045, China)

Abstract

Current LCA-based environmental impact assessments rarely consider the environmental impact of traffic network deterioration due to temporary road closures during road infrastructure construction processes. This study proposes a quantification method to evaluate the environmental impact of traffic diversions during the road infrastructure construction process. The environmental impact assessment method ReCiPe 2016 was selected to evaluate the environmental impact of pollutant emissions from deteriorated traffic conditions. Ten types of traffic emissions were estimated by emission factors and traffic conditions. A case study quantified the potential environmental impact of traffic emissions resulting from four diversion plans based on an actual bridge-construction case study in Chongqing city of China. Results revealed that different diversion plans could lead to different final environmental impacts. “Global warming” dominated both “Human health” and “Ecosystems” impacts. In the “Human health” category, more than 95% of the environmental impact was contributed by global warming. Similarly, the impact of “Global warming” was higher than 75% in the “Ecosystems” category. CO 2 emissions were the main contributor to the overall “Global warming” impact in all four diversion plans. The traffic speed under traffic diversions before and during road infrastructure construction processes is the major factor influencing the overall environmental impact (endpoint).

Suggested Citation

  • Mingjun Ma & Meng Liu & Ziqiao Li, 2023. "Quantifying the Environmental Impact of Vehicle Emissions Due to Traffic Diversion Plans for Road Infrastructure Construction Projects: A Case Study in China," Sustainability, MDPI, vol. 15(10), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7825-:d:1143679
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/10/7825/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/10/7825/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Shoshanna Saxe & Dena Kasraian, 2020. "Rethinking environmental LCA life stages for transport infrastructure to facilitate holistic assessment," Journal of Industrial Ecology, Yale University, vol. 24(5), pages 1031-1046, October.
    2. Leslie C. Edie, 1961. "Car-Following and Steady-State Theory for Noncongested Traffic," Operations Research, INFORMS, vol. 9(1), pages 66-76, February.
    3. Chang, Yuan & Lei, Shuhua & Teng, Jianjian & Zhang, Jiangxue & Zhang, Lixiao & Xu, Xiao, 2019. "The energy use and environmental emissions of high-speed rail transportation in China: A bottom-up modeling," Energy, Elsevier, vol. 182(C), pages 1193-1201.
    4. Santero, Nicholas J. & Masanet, Eric & Horvath, Arpad, 2011. "Life-cycle assessment of pavements. Part I: Critical review," Resources, Conservation & Recycling, Elsevier, vol. 55(9), pages 801-809.
    5. Tian Wu & Mengbo Zhang & Xunmin Ou, 2014. "Analysis of Future Vehicle Energy Demand in China Based on a Gompertz Function Method and Computable General Equilibrium Model," Energies, MDPI, vol. 7(11), pages 1-29, November.
    6. Mingjun Ma & Ziqiao Li & Kai Xue & Meng Liu, 2021. "Exergy-Based Life Cycle Assessment Model for Evaluating the Environmental Impact of Bridge: Principle and Case Study," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jesuina Chipindula & Hongbo Du & Venkata S. V. Botlaguduru & Doeun Choe & Raghava R. Kommalapati, 2022. "Life cycle environmental impact of a high-speed rail system in the Houston-Dallas I-45 corridor," Public Transport, Springer, vol. 14(2), pages 481-501, June.
    2. Anne de Bortoli & Maxime Agez, 2023. "Environmentally-Extended Input-Output analyses efficiently sketch large-scale environmental transition plans -- illustration by Canada's road industry," Papers 2301.08302, arXiv.org.
    3. Zhipeng Tang & Ziao Mei & Jialing Zou, 2021. "Does the Opening of High-Speed Railway Lines Reduce the Carbon Intensity of China’s Resource-Based Cities?," Energies, MDPI, vol. 14(15), pages 1-18, July.
    4. Wang, Zhaodong & Wang, Xin & Ouyang, Yanfeng, 2015. "Bounded growth of the bullwhip effect under a class of nonlinear ordering policies," European Journal of Operational Research, Elsevier, vol. 247(1), pages 72-82.
    5. Bai, Lu & Wong, S.C. & Xu, Pengpeng & Chow, Andy H.F. & Lam, William H.K., 2021. "Calibration of stochastic link-based fundamental diagram with explicit consideration of speed heterogeneity," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 524-539.
    6. Zhou, Shirui & Ling, Shuai & Zhu, Chenqiang & Tian, Junfang, 2022. "Cellular automaton model with the multi-anticipative effect to reproduce the empirical findings of Kerner’s three-phase traffic theory," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    7. Chen, Yu & Zhao, Changyi & Chen, Shan & Chen, Wenqing & Wan, Kunyang & Wei, Jia, 2023. "Riding the green rails: Exploring the nexus between high-speed trains, green innovation, and carbon emissions," Energy, Elsevier, vol. 282(C).
    8. Wang, Xiao & Jiang, Rui & Li, Li & Lin, Yi-Lun & Wang, Fei-Yue, 2019. "Long memory is important: A test study on deep-learning based car-following model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 514(C), pages 786-795.
    9. Li, Wei & Jia, Zhijie, 2016. "The impact of emission trading scheme and the ratio of free quota: A dynamic recursive CGE model in China," Applied Energy, Elsevier, vol. 174(C), pages 1-14.
    10. Wu, Tian & Shen, Qu & Xu, Ming & Peng, Tianduo & Ou, Xunmin, 2018. "Development and application of an energy use and CO2 emissions reduction evaluation model for China's online car hailing services," Energy, Elsevier, vol. 154(C), pages 298-307.
    11. Giani, Martina Irene & Dotelli, Giovanni & Brandini, Nicolò & Zampori, Luca, 2015. "Comparative life cycle assessment of asphalt pavements using reclaimed asphalt, warm mix technology and cold in-place recycling," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 224-238.
    12. Peng, Tianduo & Ou, Xunmin & Yuan, Zhiyi & Yan, Xiaoyu & Zhang, Xiliang, 2018. "Development and application of China provincial road transport energy demand and GHG emissions analysis model," Applied Energy, Elsevier, vol. 222(C), pages 313-328.
    13. Kaur, Ramanpreet & Sharma, Sapna, 2018. "Modeling and simulation of driver’s anticipation effect in a two lane system on curved road with slope," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 110-120.
    14. Kontorinaki, Maria & Spiliopoulou, Anastasia & Roncoli, Claudio & Papageorgiou, Markos, 2017. "First-order traffic flow models incorporating capacity drop: Overview and real-data validation," Transportation Research Part B: Methodological, Elsevier, vol. 106(C), pages 52-75.
    15. Barone, Giovanni & Buonomano, Annamaria & Forzano, Cesare & Palombo, Adolfo, 2020. "Enhancing trains envelope – heating, ventilation, and air conditioning systems: A new dynamic simulation approach for energy, economic, environmental impact and thermal comfort analyses," Energy, Elsevier, vol. 204(C).
    16. Wang, Chenghao & Wang, Zhi-Hua & Kaloush, Kamil E. & Shacat, Joseph, 2021. "Cool pavements for urban heat island mitigation: A synthetic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 146(C).
    17. Ahmad Jrade & Farnaz Jalaei & Jieying Jane Zhang & Saeed Jalilzadeh Eirdmousa & Farzad Jalaei, 2023. "Potential Integration of Bridge Information Modeling and Life Cycle Assessment/Life Cycle Costing Tools for Infrastructure Projects within Construction 4.0: A Review," Sustainability, MDPI, vol. 15(20), pages 1-25, October.
    18. Yu Jia & Yunqian Wang & Piao Li & Shuang Gao, 2024. "Economic Communication: The Influence of High-Speed Rail on Urban-Rural Income Inequality in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 174(1), pages 47-73, August.
    19. Xiangjing Zeng & Yong Ma & Jie Ren & Biao He, 2022. "Analysis of the Green Development Effects of High-Speed Railways Based on Eco-Efficiency: Evidence from Multisource Remote Sensing and Statistical Data of Urban Agglomerations in the Middle Reaches of," IJERPH, MDPI, vol. 19(24), pages 1-20, December.
    20. Chen, Yu & Wang, Yuandi & Zhao, Changyi, 2023. "How do high-speed rails influence city carbon emissions?," Energy, Elsevier, vol. 265(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7825-:d:1143679. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.