Abstract
This study reports the eco-efficiency quantification of urban public transportation in Brazilian states. The modal focused on is urban bus. A composite indicator was specified to meet the premises of Sustainable Consumption and Production (SC&P) in the urban planning domain. This paper can be considered applied research that considers the Benefit of the doubt (BoD) approach in Data Envelopment Analysis (DEA) models. DEA is non-parametric a technique recommended by the Organization for Economic Co-operation and Development (OECD) for performance assessments using composite indicators (CI). The scope of this research encompasses 26 capitals of Brazilian states and the capital of the Federal District. This paper also reports the framework of Key Performance Indicators (KPIs) reflecting urban transportation system in Brazil. The results using data of 2019 showed that only the Brazilian Federal District was considered eco-efficient whilst more economically developed and populous states showed undesirable levels of CO2 emissions (e.g. Sao Paulo and Rio de Janeiro).
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
UN: Transforming our world: the 2030 agenda for sustainable development. In: General Assembley 70 Session, vol. 16301, no. October. pp. 1–35 (2015). United Nations. Homepage, https://www.un.org/en/development/desa/population/migration/generalassembly/docs/globalcompact/A_RES_70_1_E.pdf. Last accessed 29 Nov 2021
de Carvalho, C.H.R.: TD2198 – Textos para discussão: Desafios da mobilidade urbana no Brasil. IPEA, Rio de Janeiro (2016)
Albuquerque, I., et al.: Análise das Emissões Brasileiras de Gases de Efeito Estufa e suas implicações para as metas de clima do Brasil, São Paulo (2020)
Rupprecht Consult – Forschung & Beratung GmbH: SUMP Planning for More Resilient and Robust Urban Mobility. Amsterdam (2019)
Charnes, A., Cooper, W.W., Rhodes, E.: Measuring the efficiency of decision making units. Eur. J. Oper. Res. 2(6), 429–444 (1978)
Cherchye, L., Moesen, W., Rogge, N., Puyenbroeck, T.V.: An introduction to ‘benefit of the doubt’ composite indicators. Soc. Indic. Res. 82(1), 111–145 (2007)
Nardo, M., Saisana, M., Saltelli, A., Tarantola, S., Hoffman, A., Giovannini, E.: Handbook on Constructing Composite Indicators, 1st edn. OECD Publications, Paris (2008)
Yoshino, D., Fujiwara, A., Zhang, J.: Environmental efficiency model based on data envelopment analysis and its application to environmentally sustainable transport policies. Transp. Res. Rec. J. Transp. Res. Board. 2163(1), 112–123 (2010)
Oliveira, R., Camanho, A.S., Zanella, A.: Expanded eco-efficiency assessment of large mining firms. J. Clean. Prod. 142, 2364–2373 (2017)
Oliveira, R., Camanho, A., Zanella, A.: Eco-efficiency assessment at firm level: an application to the mining sector. In: Operations Research and Big Data, IO2015-XVII Congress of Portuguese Association of Operational Research (APDIO), vol. 15, pp. 149–157 (2015)
Milanović, T., Savić, G., Martić, M., Milanović, M., Petrović, N.: Development of the waste management composite index using DEA method as circular economy indicator: the case of European Union countries. Polish J. Environ. Stud. 31(1), 771–784 (2022)
Huang, J., Xia, J., Yu, Y., Zhang, N.: Composite eco-efficiency indicators for China based on data envelopment analysis. Ecol. Indic. 85, 674–697 (2018)
Farrell, M.J.: The measurement of productive efficiency. J. R. Stat. Soc. 120(3), 253–290 (1957)
Taveres, G.: A Bibliography of Data Envelopment Analysis (1978–2001). New Jersey (2002)
Gattoufi, S., Oral, M., Reisman, A.: Data envelopment analysis literature: a bibliography update (1951–2001). Socioecon. Plann. Sci. 38(2–3), 159–229 (2004)
Emrouznejad, A., Yang, G.: A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socioecon. Plann. Sci. 61, 4–8 (2018)
Zhou, H., Yang, Y., Chen, Y., Zhu, J.: Data envelopment analysis application in sustainability: the origins, development and future directions. Eur. J. Oper. Res. 264(1), 1–16 (2018)
Cook, W.D., Kazakov, A., Seiford, L.M.: A data envelopment approach to measuring efficiency: case analysis of highway maintenace patrols. J. Socio. Econ. 20(1), 83–103 (1991)
Blancard, S., Hoarau, J.-F.: A new sustainable human development indicator for small island developing states: a reappraisal from data envelopment analysis. Econ. Model. 30(1), 623–635 (2013)
Cook, W.D., Kress, M.: A data envelopment model for aggregating prefence rankings. Manage. Sci. 36(11), 1302–1310 (1990)
Cherchye, L., et al.: Creating composite indicators with DEA and robustness analysis: the case of the Technology Achievement Index. J. Oper. Res. Soc. 59(2), 239–251 (2008)
Charnes, A., Cooper, W.W.W., Huang, Z.M.M., Sun, D.B.B.: Relations between half-space and finitely generated cones in polyhedral cone-ratio DEA models. Int. J. Syst. Sci. 22(11), 2057–2077 (1991)
SEEG, “SEEG MUNICÍPIOS,” Base de dados, Aug-2019. Online. Available: https://plataforma.seeg.eco.br/map. Accessed: 26 Oct 2021
SENATRAN, “Secretaria Nacional de Trânsito,” Portal de Serviços, Jun-2021. [Online]. Available: https://portalservicos.senatran.serpro.gov.br. Accessed: 26 Oct 2021
IBGE, “Instituto Brasileiro de Geografia e Estatística,” Estados, Aug-. [Online]. Available: https://www.ibge.gov.br. Accessed: 26 Oct 2021
Seiford, L.M., Zhu, J.: Modeling undesirable factors in efficiency evaluation. Eur. J. Oper. Res. 142(1), 16–20 (2002)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Olaya, W.R.C., Araújo, V.W.S., Monteiro, N.J., Zanella, A., Oliveira, R. (2022). Eco-efficiency Analysis of the Brazilian Public Transport Based on Data Envelopment Analysis. In: López Sánchez, V.M., Mendonça Freires, F.G., Gonçalves dos Reis, J.C., Costa Martins das Dores, J.M. (eds) Industrial Engineering and Operations Management. IJCIEOM 2022. Springer Proceedings in Mathematics & Statistics, vol 400. Springer, Cham. https://doi.org/10.1007/978-3-031-14763-0_1
Download citation
DOI: https://doi.org/10.1007/978-3-031-14763-0_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-14762-3
Online ISBN: 978-3-031-14763-0
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)