IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i24p10263-d458911.html
   My bibliography  Save this article

A Multitier Approach to Estimating the Energy Efficiency of Urban Passenger Mobility

Author

Listed:
  • Daniel Neves Schmitz Gonçalves

    (Program of Transportation Engineering COPPE/UFRJ. Technology Center, Building H–Room 117, University City–Rio de Janeiro, Rio de Janeiro 999074, Brazil)

  • Renata Albergaria de Mello Bandeira

    (Military Institute of Engineering, Praça General Tibúrcio 80, Praia Vermelha, Rio de Janeiro 999074, Brazil)

  • Mariane Gonzalez da Costa

    (Program of Transportation Engineering COPPE/UFRJ. Technology Center, Building H–Room 117, University City–Rio de Janeiro, Rio de Janeiro 999074, Brazil)

  • George Vasconcelos Goes

    (Program of Transportation Engineering COPPE/UFRJ. Technology Center, Building H–Room 117, University City–Rio de Janeiro, Rio de Janeiro 999074, Brazil)

  • Tássia Faria de Assis

    (Program of Transportation Engineering COPPE/UFRJ. Technology Center, Building H–Room 117, University City–Rio de Janeiro, Rio de Janeiro 999074, Brazil)

  • Márcio de Almeida D’Agosto

    (Program of Transportation Engineering COPPE/UFRJ. Technology Center, Building H–Room 117, University City–Rio de Janeiro, Rio de Janeiro 999074, Brazil)

  • Isabela Rocha Pombo Lessi de Almeida

    (Program of Transportation Engineering COPPE/UFRJ. Technology Center, Building H–Room 117, University City–Rio de Janeiro, Rio de Janeiro 999074, Brazil)

  • Rodrigo Rodrigues de Freitas

    (Federal Center of Technological Education Celso Suckow da Fonseca, Rio de Janeiro 999074, Brazil)

Abstract

As society has experiences new modes of mobility in recent years, cities have planned to increase their energy efficiency as a way of reducing environmental impacts and promoting economic development. However, governments face difficulties in establishing mechanisms to determine the best actions in the management of urban mobility regarding energy efficiency and to elaborate a ranking of cities based on energy efficiency in order to better allocate resources. This is due to the complex nature of obtaining a wide range of activity and energy data from a single municipality, especially in data-scarce regions. This paper develops and applies a model for estimating the energy efficiency of urban mobility that is applicable to different contexts and backgrounds. The main contribution of the article is the use of a multitier approach to compare and adjust outputs, considering different transport configurations and data sets. The results indicate that variations in vehicle occupancy and individual motorized transport rates have a significant impact on energy efficiency, which reached 0.70 passenger-kilometers/MJ in Sorocaba, Brazil. However, as the use of electric vehicles increases in this city, this scenario is expected to change. Additionally, the method has been proven to be an important mechanism for benchmarking purposes and for the decision-making process for transport investments.

Suggested Citation

  • Daniel Neves Schmitz Gonçalves & Renata Albergaria de Mello Bandeira & Mariane Gonzalez da Costa & George Vasconcelos Goes & Tássia Faria de Assis & Márcio de Almeida D’Agosto & Isabela Rocha Pombo Le, 2020. "A Multitier Approach to Estimating the Energy Efficiency of Urban Passenger Mobility," Sustainability, MDPI, vol. 12(24), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:24:p:10263-:d:458911
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/24/10263/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/24/10263/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dongquan He & Fei Meng & Michael Q. Wang & Kebin He, 2011. "Impacts of Urban Transportation Mode Split on CO 2 Emissions in Jinan, China," Energies, MDPI, vol. 4(4), pages 1-15, April.
    2. Yang, Yuan & Wang, Can & Liu, Wenling & Zhou, Peng, 2017. "Microsimulation of low carbon urban transport policies in Beijing," Energy Policy, Elsevier, vol. 107(C), pages 561-572.
    3. Giordano, P. & Caputo, P. & Vancheri, A., 2014. "Fuzzy evaluation of heterogeneous quantities: Measuring urban ecological efficiency," Ecological Modelling, Elsevier, vol. 288(C), pages 112-126.
    4. Andrea Alonso & Andrés Monzón & Yang Wang, 2017. "Modelling Land Use and Transport Policies to Measure Their Contribution to Urban Challenges: The Case of Madrid," Sustainability, MDPI, vol. 9(3), pages 1-28, March.
    5. Tørnblad, Silje H. & Kallbekken, Steffen & Korneliussen, Kristine & Mideksa, Torben K., 2014. "Using mobility management to reduce private car use: Results from a natural field experiment in Norway," Transport Policy, Elsevier, vol. 32(C), pages 9-15.
    6. Bose, Ranjan Kumar & Srinivasachary, V, 1997. "Policies to reduce energy use and environmental emissions in the transport sector : A case of Delhi city," Energy Policy, Elsevier, vol. 25(14-15), pages 1137-1150, December.
    7. Philippe Mongeon & Adèle Paul-Hus, 2016. "The journal coverage of Web of Science and Scopus: a comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(1), pages 213-228, January.
    8. Saujot, Mathieu & Lefèvre, Benoit, 2016. "The next generation of urban MACCs. Reassessing the cost-effectiveness of urban mitigation options by integrating a systemic approach and social costs," Energy Policy, Elsevier, vol. 92(C), pages 124-138.
    9. Schmitz Gonçalves, Daniel Neves & Goes, George Vasconcelos & de Almeida D'Agosto, Márcio & Albergaria de Mello Bandeira, Renata, 2019. "Energy use and emissions scenarios for transport to gauge progress toward national commitments," Energy Policy, Elsevier, vol. 135(C).
    10. Klinge Jacobsen, Henrik, 1998. "Integrating the bottom-up and top-down approach to energy-economy modelling: the case of Denmark," Energy Economics, Elsevier, vol. 20(4), pages 443-461, September.
    11. Gerboni, Raffaella & Grosso, Daniele & Carpignano, Andrea & Dalla Chiara, Bruno, 2017. "Linking energy and transport models to support policy making," Energy Policy, Elsevier, vol. 111(C), pages 336-345.
    12. Menezes, Esther & Maia, Alexandre Gori & de Carvalho, Cristiane Silva, 2017. "Effectiveness of low-carbon development strategies: Evaluation of policy scenarios for the urban transport sector in a Brazilian megacity," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 226-241.
    13. Seema Mundoli & Hita Unnikrishnan & Harini Nagendra, 2017. "The “Sustainable” in smart cities: ignoring the importance of urban ecosystems," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 44(2), pages 103-120, June.
    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. Jacek Oskarbski & Krystian Birr & Karol Żarski, 2021. "Bicycle Traffic Model for Sustainable Urban Mobility Planning," Energies, MDPI, vol. 14(18), pages 1-36, September.
    2. Maribel Vega-Arce & Gonzalo Salas & Gastón Núñez-Ulloa & Cristián Pinto-Cortez & Ivelisse Torres Fernandez & Yuh-Shan Ho, 2019. "Research performance and trends in child sexual abuse research: a Science Citation Index Expanded-based analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1505-1525, December.
    3. Antonio-José Moreno-Guerrero & María Elena Parra-González & Jesús López-Belmonte & Adrián Segura-Robles, 2022. "Science mapping analysis of “cultural” in web of science (1908–2019)," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(1), pages 239-257, February.
    4. Garfield Wayne Hunter & Gideon Sagoe & Daniele Vettorato & Ding Jiayu, 2019. "Sustainability of Low Carbon City Initiatives in China: A Comprehensive Literature Review," Sustainability, MDPI, vol. 11(16), pages 1-37, August.
    5. Adela Toscano-Valle & Antonio Sianes & Francisco Santos-Carrillo & Luis A. Fernández-Portillo, 2022. "Can the Rational Design of International Institutions Solve Cooperation Problems? Insights from a Systematic Literature Review," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    6. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.
    7. Yang Yang & Chunlu Liu & Baizhen Li & Jilong Zhao, 2022. "Modelling and Forecast of Future Growth for Shandong’s Small Industrial Towns: A Scenario-Based Interactive Approach," Sustainability, MDPI, vol. 14(24), pages 1-16, December.
    8. Omar Shafqat & Elena Malakhtka & Nina Chrobot & Per Lundqvist, 2021. "End Use Energy Services Framework Co-Creation with Multiple Stakeholders—A Living Lab-Based Case Study," Sustainability, MDPI, vol. 13(14), pages 1-24, July.
    9. Marek Kwiek & Wojciech Roszka, 2022. "Academic vs. biological age in research on academic careers: a large-scale study with implications for scientifically developing systems," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3543-3575, June.
    10. Vanessa Sandoval-Romero & Vincent Larivière, 2020. "The national system of researchers in Mexico: implications of publication incentives for researchers in social sciences," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 99-126, January.
    11. Vivek Kumar Singh & Prashasti Singh & Mousumi Karmakar & Jacqueline Leta & Philipp Mayr, 2021. "The journal coverage of Web of Science, Scopus and Dimensions: A comparative analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5113-5142, June.
    12. Romanika Okraszewska & Aleksandra Romanowska & Marcin Wołek & Jacek Oskarbski & Krystian Birr & Kazimierz Jamroz, 2018. "Integration of a Multilevel Transport System Model into Sustainable Urban Mobility Planning," Sustainability, MDPI, vol. 10(2), pages 1-20, February.
    13. Mike Thelwall, 2020. "Mid-career field switches reduce gender disparities in academic publishing," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(3), pages 1365-1383, June.
    14. Patricia de Oliveira Melo & Renata Marques Britto & Tharcisio Cotta Fontainha & Adriana Leiras & Renata Albergaria de Mello Bandeira, 2017. "Evaluation of community leaders’ perception regarding Alerta Rio, the warning system for landslides caused by heavy rains in Rio de Janeiro," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 89(3), pages 1343-1368, December.
    15. Boonekamp, Piet G.M., 2006. "Actual interaction effects between policy measures for energy efficiency—A qualitative matrix method and quantitative simulation results for households," Energy, Elsevier, vol. 31(14), pages 2848-2873.
    16. Pantea Kamrani & Isabelle Dorsch & Wolfgang G. Stock, 2021. "Do researchers know what the h-index is? And how do they estimate its importance?," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5489-5508, July.
    17. Yves Gingras & Mahdi Khelfaoui, 2018. "Assessing the effect of the United States’ “citation advantage” on other countries’ scientific impact as measured in the Web of Science (WoS) database," Scientometrics, Springer;Akadémiai Kiadó, vol. 114(2), pages 517-532, February.
    18. Abdelghani Maddi & Aouatif de La Laurencie, 2018. "La dynamique des SHS françaises dans le Web of Science : un manque de représentativité ou de visibilité internationale ?," Working Papers hal-01922266, HAL.
    19. Théodore Nikiema & Eugène C. Ezin & Sylvain Kpenavoun Chogou, 2023. "Bibliometric Analysis of the State of Research on Agroecology Adoption and Methods Used for Its Assessment," Sustainability, MDPI, vol. 15(21), pages 1-18, November.
    20. Esther Salmerón-Manzano & Francisco Manzano-Agugliaro, 2018. "The Higher Education Sustainability through Virtual Laboratories: The Spanish University as Case of Study," Sustainability, MDPI, vol. 10(11), pages 1-22, November.

    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:12:y:2020:i:24:p:10263-:d:458911. 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.