IDEAS home Printed from https://ideas.repec.org/a/ibn/jsd123/v15y2023i5p1.html
   My bibliography  Save this article

Comparative Sustainability Assessment: Rome, Italy and São Paulo, Brazil

Author

Listed:
  • Filipe Pohlmann Gonzaga
  • Gianluca Floris

Abstract

Rome and São Paulo share many cultural similarities, there are in São Paulo metropolitan area (M.A.) 6 million people from Italian descendancy, being the Italian population in São Paulo M.A. bigger than Rome’s. This study develops a sustainability assessment (S.A.) to obtain a comprehensive framework to assess the sustainability performance of both cities, compare them and propose a solution. Five metrics on which based the S.A. were chosen according to the results of a survey with São Paulo and Rome residents. To validate the effectiveness of these indicators two focus groups were conducted, then the indicators were valued, and a Sustainability Solution Space was applied to identify their interactions. A Multi-Criteria Analysis was carried out to assess which of the cities has currently the highest performance in terms of sustainability. Rome had a higher sustainability ranking than Sao Paulo, nevertheless both cities should improve corruption scores to improve their ranking.

Suggested Citation

  • Filipe Pohlmann Gonzaga & Gianluca Floris, 2023. "Comparative Sustainability Assessment: Rome, Italy and São Paulo, Brazil," Journal of Sustainable Development, Canadian Center of Science and Education, vol. 15(5), pages 1-1, May.
  • Handle: RePEc:ibn:jsd123:v:15:y:2023:i:5:p:1
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/jsd/article/download/0/0/47507/50939
    Download Restriction: no

    File URL: https://ccsenet.org/journal/index.php/jsd/article/view/0/47507
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Filipe Pohlmann Gonzaga & Mohamed Akdidach, 2022. "Innovative Lighting Systems: Opportunities for Energy Savings," Journal of Management and Sustainability, Canadian Center of Science and Education, vol. 12(1), pages 122-122, December.
    2. Kenyon, Wendy, 2007. "Evaluating flood risk management options in Scotland: A participant-led multi-criteria approach," Ecological Economics, Elsevier, vol. 64(1), pages 70-81, October.
    3. Cynthia Chen & Hongmian Gong & Robert Paaswell, 2008. "Role of the built environment on mode choice decisions: additional evidence on the impact of density," Transportation, Springer, vol. 35(3), pages 285-299, May.
    4. Satoshi Fujii & Ryuichi Kitamura, 2003. "What does a one-month free bus ticket do to habitual drivers? An experimental analysis of habit and attitude change," Transportation, Springer, vol. 30(1), pages 81-95, February.
    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. Smart, Michael, 2010. "US immigrants and bicycling: Two-wheeled in Autopia," Transport Policy, Elsevier, vol. 17(3), pages 153-159, May.
    2. Eldeeb, Gamal & Mohamed, Moataz & Páez, Antonio, 2021. "Built for active travel? Investigating the contextual effects of the built environment on transportation mode choice," Journal of Transport Geography, Elsevier, vol. 96(C).
    3. Schneider, Robert James, 2011. "Understanding Sustainable Transportation Choices: Shifting Routine Automobile Travel to Walking and Bicycling," University of California Transportation Center, Working Papers qt06v2g6dh, University of California Transportation Center.
    4. Ghimire, Ramesh & Lancelin, Colby, 2019. "The relationship between financial incentives provided by employers and commuters' decision to use transit: Results from the Atlanta Regional Household Travel Survey," Transport Policy, Elsevier, vol. 74(C), pages 103-113.
    5. Nan Yang & Yong Long Lim, 2018. "Temporary Incentives Change Daily Routines: Evidence from a Field Experiment on Singapore’s Subways," Management Science, INFORMS, vol. 64(7), pages 3365-3379, July.
    6. Jinhyun Hong & David Philip McArthur & Mark Livingston, 2019. "Can Accessing the Internet while Travelling Encourage Commuters to Use Public Transport Regardless of Their Attitude?," Sustainability, MDPI, vol. 11(12), pages 1-10, June.
    7. Dacko, Scott G. & Spalteholz, Carolin, 2014. "Upgrading the city: Enabling intermodal travel behaviour," Technological Forecasting and Social Change, Elsevier, vol. 89(C), pages 222-235.
    8. Li, Jingjing & Kim, Changjoo & Sang, Sunhee, 2018. "Exploring impacts of land use characteristics in residential neighborhood and activity space on non-work travel behaviors," Journal of Transport Geography, Elsevier, vol. 70(C), pages 141-147.
    9. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    10. Alessandro Vitale & Giuseppe Guido & Daniele Rogano, 2016. "A smartphone based DSS platform for assessing transit service attributes," Public Transport, Springer, vol. 8(2), pages 315-340, September.
    11. Yaolong Liu & Guorui Feng & Ye Xue & Huaming Zhang & Ruoguang Wang, 2015. "Small-scale natural disaster risk scenario analysis: a case study from the town of Shuitou, Pingyang County, Wenzhou, China," 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. 75(3), pages 2167-2183, February.
    12. Chen, Ching-Fu & Lai, Wen-Tai, 2011. "The effects of rational and habitual factors on mode choice behaviors in a motorcycle-dependent region: Evidence from Taiwan," Transport Policy, Elsevier, vol. 18(5), pages 711-718, September.
    13. Scheiner, Joachim, 2010. "Social inequalities in travel behaviour: trip distances in the context of residential self-selection and lifestyles," Journal of Transport Geography, Elsevier, vol. 18(6), pages 679-690.
    14. Mónica de Castro-Pardo & Pascual Fernández Martínez & Amelia Pérez Zabaleta & João C. Azevedo, 2021. "Dealing with Water Conflicts: A Comprehensive Review of MCDM Approaches to Manage Freshwater Ecosystem Services," Land, MDPI, vol. 10(5), pages 1-32, April.
    15. Maya Abou-Zeid & Satoshi Fujii, 2016. "Travel satisfaction effects of changes in public transport usage," Transportation, Springer, vol. 43(2), pages 301-314, March.
    16. Rahman, Mohammad Lutfur & Baker, Douglas, 2018. "Modelling induced mode switch behaviour in Bangladesh: A multinomial logistic regression approach," Transport Policy, Elsevier, vol. 71(C), pages 81-91.
    17. Ali Enes Dingil & Federico Rupi & Domokos Esztergár-Kiss, 2021. "An Integrative Review of Socio-Technical Factors Influencing Travel Decision-Making and Urban Transport Performance," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    18. Mokonyama, Mathetha & Venter, Christo, 2018. "How worthwhile is it to maximise customer satisfaction in public transport service contracts with a large captive user base? The case of South Africa," Research in Transportation Economics, Elsevier, vol. 69(C), pages 180-186.
    19. Wang, Xiaoquan & Yin, Chaoying & Zhang, Junyi & Shao, Chunfu & Wang, Shengyou, 2021. "Nonlinear effects of residential and workplace built environment on car dependence," Journal of Transport Geography, Elsevier, vol. 96(C).
    20. Redman, Lauren & Friman, Margareta & Gärling, Tommy & Hartig, Terry, 2013. "Quality attributes of public transport that attract car users: A research review," Transport Policy, Elsevier, vol. 25(C), pages 119-127.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    Statistics

    Access and download statistics

    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:ibn:jsd123:v:15:y:2023:i:5:p:1. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.