IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i13p4730-d378929.html
   My bibliography  Save this article

Assessment of the Reduction in Vehicles Emissions by Implementing Inspection and Maintenance Programs

Author

Listed:
  • José I. Huertas

    (Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico)

  • Antonio E. Mogro

    (Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico)

  • Alberto Mendoza

    (Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico)

  • María E. Huertas

    (Tecnologico de Monterrey, Escuela de Ingeniería y Ciencias, Ave. Eugenio Garza Sada 2501, Monterrey 64849, NL, Mexico)

  • Rolando Ibarra

    (Camara de la Industria de Transformacion de Nuevo Leon, Parque Fundidora 501 L-95A, Monterrey 64010, NL, Mexico)

Abstract

To improve air quality in urban centers, vehicle Inspection and Maintenance (I/M) programs were created to identify highly polluting vehicles and force them to undergo mechanical maintenance. In this context, a methodology, based on a single measurement campaign using a Remote Sensing Device (RSD), is presented in this work to assess the reduction in vehicles emissions obtained from implementing I/M programs. As a case study, an RSD campaign was carried out in Mexico, specifically in Monterrey’s Metropolitan Area (MMA). Approximately 0.4% of the vehicles registered in this region were sampled under similar conditions to those found in I/M programs. The results obtained suggested that 39% of the vehicles would not comply with the current national regulations for circulating vehicles. Following a conservative scenario, the implementation of a vehicle I/M program in this urban center has the potential of reducing the current mass emissions of HC, CO and NO in approximately 69%, 42% and 28%, respectively.

Suggested Citation

  • José I. Huertas & Antonio E. Mogro & Alberto Mendoza & María E. Huertas & Rolando Ibarra, 2020. "Assessment of the Reduction in Vehicles Emissions by Implementing Inspection and Maintenance Programs," IJERPH, MDPI, vol. 17(13), pages 1-15, July.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:13:p:4730-:d:378929
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/13/4730/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/13/4730/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Leisha Dehart-Davis & Elizabeth Corley & Michael O. Rodgers, 2002. "Evaluating Vehicle Inspection/Maintenance Programs Using On-Road Emissions Data," Evaluation Review, , vol. 26(2), pages 111-146, April.
    2. Ma, Jie & Xu, Min & Meng, Qiang & Cheng, Lin, 2020. "Ridesharing user equilibrium problem under OD-based surge pricing strategy," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 1-24.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Anastasios Melas & Tommaso Selleri & Ricardo Suarez-Bertoa & Barouch Giechaskiel, 2022. "Evaluation of Measurement Procedures for Solid Particle Number (SPN) Measurements during the Periodic Technical Inspection (PTI) of Vehicles," IJERPH, MDPI, vol. 19(13), pages 1-17, June.

    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. Xingyuan Li & Jing Bai, 2021. "A Ridesharing Choice Behavioral Equilibrium Model with Users of Heterogeneous Values of Time," IJERPH, MDPI, vol. 18(3), pages 1-22, January.
    2. He, Shan & Dai, Ying & Ma, Zu-Jun, 2023. "To offer or not to offer? The optimal value-insured strategy for crowdsourced delivery platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    3. Noruzoliaee, Mohamadhossein & Zou, Bo & Zhou, Yan (Joann), 2021. "Truck platooning in the U.S. national road network: A system-level modeling approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    4. Dapeng Zhang & Xiaokun (Cara) Wang, 2020. "Investigation of Freight Agents’ Interaction Considering Partner Selection and Joint Decision Making," Sustainability, MDPI, vol. 12(9), pages 1-15, May.
    5. Li, Tongfei & Xu, Min & Sun, Huijun & Xiong, Jie & Dou, Xueping, 2023. "Stochastic ridesharing equilibrium problem with compensation optimization," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    6. Ma, Jie & Meng, Qiang & Cheng, Lin & Liu, Zhiyuan, 2022. "General stochastic ridesharing user equilibrium problem with elastic demand," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 162-194.
    7. Noruzoliaee, Mohamadhossein & Zou, Bo, 2022. "One-to-many matching and section-based formulation of autonomous ridesharing equilibrium," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 72-100.
    8. Surya Michrandi Nasution & Emir Husni & Kuspriyanto Kuspriyanto & Rahadian Yusuf & Bernardo Nugroho Yahya, 2021. "Contextual Route Recommendation System in Heterogeneous Traffic Flow," Sustainability, MDPI, vol. 13(23), pages 1-21, November.
    9. Sun, S. & Szeto, W.Y., 2021. "Multi-class stochastic user equilibrium assignment model with ridesharing: Formulation and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 203-227.
    10. Zheng, Hankun & Sun, Huijun & Kang, Liujiang & Dai, Peiling & Wu, Jianjun, 2023. "Multi-route coordination for bus systems in response to road disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    11. Tang, Zhe-Yi & Tian, Li-Jun & Wang, David Z.W., 2021. "Multi-modal morning commute with endogenous shared autonomous vehicle penetration considering parking space constraint," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).
    12. Huarng, Kun-Huang & Yu, Tiffany Hui-Kuang, 2020. "The impact of surge pricing on customer retention," Journal of Business Research, Elsevier, vol. 120(C), pages 175-180.
    13. Ke, Jintao & Chen, Xiqun (Michael) & Yang, Hai & Li, Sen, 2022. "Coordinating supply and demand in ride-sourcing markets with pre-assigned pooling service and traffic congestion externality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    14. Dawei Li & Yiping Liu & Yuchen Song & Zhenghao Ye & Dongjie Liu, 2022. "A Framework for Assessing Resilience in Urban Mobility: Incorporating Impact of Ridesharing," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    15. Azra Shamim & Awais Ali Khan & Muhammad Ahsan Qureshi & Hamaad Rafique & Adnan Akhunzada, 2021. "Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?," IJERPH, MDPI, vol. 18(19), pages 1-18, October.
    16. Muhammad Safdar & Arshad Jamal & Hassan M. Al-Ahmadi & Muhammad Tauhidur Rahman & Meshal Almoshaogeh, 2022. "Analysis of the Influential Factors towards Adoption of Car-Sharing: A Case Study of a Megacity in a Developing Country," Sustainability, MDPI, vol. 14(5), pages 1-25, February.
    17. Rui Yao & Shlomo Bekhor, 2023. "A general equilibrium model for multi-passenger ridesharing systems with stable matching," Papers 2303.16595, arXiv.org, revised Dec 2023.
    18. Yao, Rui & Bekhor, Shlomo, 2023. "A general equilibrium model for multi-passenger ridesharing systems with stable matching," Transportation Research Part B: Methodological, Elsevier, vol. 175(C).
    19. Wang, Xiaolei & Wang, Jun & Guo, Lei & Liu, Wei & Zhang, Xiaoning, 2021. "A convex programming approach for ridesharing user equilibrium under fixed driver/rider demand," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 33-51.
    20. Zipeng Zhang & Ning Zhang, 2021. "The Morning Commute Problem with Ridesharing When Meet Stochastic Bottleneck," Sustainability, MDPI, vol. 13(11), pages 1-13, May.

    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:jijerp:v:17:y:2020:i:13:p:4730-:d:378929. 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.