Composition, concentration and classification of smart and sustainable urban mass transport in four smart cities
DOI:
https://doi.org/10.33448/rsd-v10i13.20634Keywords:
Mass transport; Technologies; Smart cities; Sustainability.Abstract
Smart cities improve their mass transportation system through their diversified offering of urban modes of transportation for public transport. There are options of smart and sustainable technologies that can be embedded and available to be used in this system. The composition of the urban mass transportation system is a public/private and consortium service offered to a demand from citizens that aims to improve urban mobility. Urban mass transport can be classified based on data such as the types of existing mass transport modes, the smart technologies available, and the energy sources used for locomotion. In this research, the multiple case study method of the mass transportation system was applied, with the use of the triangulation technique of three databases collected in 2020. The aim of this study was to analyze and understand the composition and concentration of urban mass transport systems in four smart cities with metropolitan profile and classify these smart cities using reports and dashboards with the aid of Power Business Intelligence (BI) software from Microsoft as the ultimate analysis tool. It is considered that these metropolitan urban mass transportation systems are historically built-in stages of technological evolution and are deployed in smart cities according to the urban mobility needs of the cities, and can be classified as more or less diverse, more or less technological, and more or less clean or polluting.
References
Akande, A., Cabral, P., Gomes, P., & Casteleyn, S. (2019). The Lisbon ranking for smart sustainable cities in Europe. Sustainable Cities and Society, 44, 75-487.
Alavi, A. H., Jiao, P., Buttlar, W. G., & Lajnef, N. (2018). Internet of Things-enabled smart cities: State-of-the-art and future trends. Measurement, 129, 589-606.
Aletà, N. B., Alonso, C. M., Ruiz, R. M. A. (2017). Smart Mobility and Smart Environment in the Spanish cities. Transportation Research Procedia, 24, 163–170.
Buenos Aires Ciudad BA. (2020). Gobierno de la Ciudad de Buenos Aires. https://www.buenosaires.gob.ar/
Burch, I., & Gilchrist, J. (2018). Survey of Global Activity to Phase Out Internal Combustion Engine Vehicles. https://theclimatecenter.org/wp-content/uploads/2020/03/Survey-on-Global-Activities-to-Phase-Out-ICE-Vehicles-update-3.18.20-1.pdf
Buuse, D., & Kolk, Ans. (2019). An exploration of smart city approaches by international ICT firms. Technological Forecasting & Social Change, 142, 220–234.
Camboim, G. F., Zawislak, P. A., & Pufal, N. A. (2019). Driving elements to make cities smarter: Evidences from European projects. Technological Forecasting & Social Change, 142, 154–167.
C40 CITIES. (2021). https://www.c40.org/about
Consórcio Regional de Transporte de Madrid. (2020). www.crtm.es
Country Economy. (2020). https://pt.countryeconomy.com/
Denzin, N., & Lincoln, Y. (2000) Handbook of qualitative research. (2a ed). Thousand Oaks: Sage.
Dimitrakopoulos, G., Uden, L., & Varlamis, I. (2020). Intelligent transport systems and smart mobility. Magazine The Future of Intelligent Transport Systems, 1st Edition. Elsevier, Amsterdã, 272.
Erkollari, A., Birgit, O. (2018). Sustainable cities need smart transportation: The Industry 4.0 transportation matrix. Sigma J Eng & Nat Sci 9 (4), 359-370.
Flick, U. (1992). Triangulation revisited: strategy of validation or alternative? Journal for the Theory of Social Behavior. 22 (2), pp. 175-197.
Garber, N. J., & Hoel, L. A. (2002). Traffic and Highway Engineering. Third Edition. Brooks/Cole.
Hoel, L. A., Garber, J. N., & Sadek, A. W. (2008). Transportation Infrastructure Engineering: A Multimodal Integration, SI Version, 1st Edition. Cengage Learning.
Holland, S. P., Mansur, E. T., Muller, N. Z., & Yates, A. J. (2021). The environmental benefits of transportation electrification: Urban buses. Energy Policy. 148.
IESE. (2020). IESE Cities in Motion INDEX 2020. Business School University Navarra. https://citiesinmotion.iese.edu/indicecim/?lang=en
International Energy Agency (IEA). (2020). Global EV Outlook 2020: Entering the decade of electric drive? Clean Energy Ministerial, and Electric Vehicles Initiative (EVI). https://www.iea.org/reports/global-ev-outlook-2020
Instituto Nacional de Estadística. (2020). Datos de la ciudad de Madrid. Https://Www.Ine.Es/
Instituto Nacional de Estadística y Censos Republica Argentina. (2020). Dados da Cidade de Buenos Aires. https://www.indec.gob.ar/
Kneib, E. C., & Tedesco, G. M. I. (2010). Sustentabilidade energética do transporte público urbano: diretrizes para o Brasil. Revista Bibliográfica de Geografía y Ciencias Sociales, (8)881, 1-13.
Kumar, H., Singh, M. K. S., Gupta, M.P. G., & Madan, J. (2019). Moving towards smart cities: Solutions that lead to the Smart City Transformation Framework. Technological Forecasting & Social Change.
Lara, A. P., Moreira Da Costa, E., Furlani, T. Z., & Yigitcanlar, T. (2016). Smartness that matters: towards a comprehensive and human-centred characterisation of smart cities. Journal of Open Innovation: Technology, Market, and Complexity, 2(1). doi:10.1186/s40852-016-0034-z.
Paris. (2020). https://www.paris.fr/
Plan Paris 360º. (2020). Https://Pt.Parismap360.Com/Mapa-Onibus-Paris#Map42
Nowacki, G. (2012). Development and Standardization of Intelligent Transport Systems. International Journal on Marine and Safety of Sea Transportation, (6)3, 403-411.
Portal web del Ayuntamiento de Madrid. (2020).
Movilidad y Transportes (2020). https://www.madrid.es/portal/site/munimadrid
Prefeitura de São Paulo. (2020). www.capital.sp.gov.br
PricewaterhouseCoopers (2020). Global City GDP Ranking 2008-2025. https://pwc.blogs.com/files/global-city-gdp-rankings-2008-2025.pdf
Raymundo, H., & Reis, J. G. M. (2018). Measures for Passenger-Transport Performance Evaluation in Urban Areas. Journal of Urban Planning and Development (3)144, 1-14.
Sacomano, J. B., Gonçalves, R. F, & Bonilla, S. H. (2018). Indústria 4.0: Conceitos e Fundamentos. Blucher.
Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. British Journal of Management, 14(3), 207–222. doi:10.1111/1467-8551.00375.
Yin, R. K. (2014). Case Study Research Design and Methods (5th ed.). Sage, 282.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2021 Luiz Rodrigo Bonette; João Gilberto Mendes dos Reis
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.