IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i18p4821-d263900.html
   My bibliography  Save this article

An Urban System Optimization Model Based on CO 2 Sequestration Index: A Big Data Analytics Approach

Author

Listed:
  • Vasile Dogaru

    (Department of Nicholas Georgescu-Roegen Interdisciplinary Research Platform, West University of Timisoara, Timisoara 300223, Romania)

  • Claudiu Brandas

    (Department of Business Information Systems, Faculty of Economics and Business Administration, West University of Timisoara, Timisoara 300223, Romania)

  • Marian Cristescu

    (Department of Finance and Accounting, Faculty of Economic Sciences, “Lucian Blaga” University of Sibiu, Sibiu 550324, Romania)

Abstract

Urban development in recent decades has had a significant impact on climate change. Cities have implemented traffic monitoring systems to sustain the new building code in meeting the target for environmental indicators. Timisoara is the second city in Romania and manages over 60% of the development and pollution of Timis County. The analysis of large volumes of data provided by local sensors and databases requires big data analytics. In this research, for the first time, we simultaneously developed two parallel scenario-based decision-making support models to assess a CO 2 sequestration index. The model is based on a tree inventory for traffic area and car flow using Roegenian processes with borders. The first scenario (dt1) analyzes the real O 2 -pollution car flows for process streets as receivers of pollution. The second scenario (dt2) analyzes O 2 -pollution flows for the same streets from the perspective of streets that garage the cars. We modeled the parallel integration of actual O 2 production and pollution flows for 160 main streets that account for over 50% of the urban mileage of Timisoara city. The carbon sequestration indexes of the streets are in the range of 0.0000043–0.437 (dt1) and 0.0000092–11.78 (dt2). The results can be used to support local decision making regarding the environment CO 2 -O 2 balances by optimizing the local fiscal policies. The research could be extended to secondary streets and separately for the pollution of heating-cooling devices for residential building areas.

Suggested Citation

  • Vasile Dogaru & Claudiu Brandas & Marian Cristescu, 2019. "An Urban System Optimization Model Based on CO 2 Sequestration Index: A Big Data Analytics Approach," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:18:p:4821-:d:263900
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/18/4821/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/11/18/4821/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chengcheng Xu & Shuyue Wu, 2019. "Evaluating the Effects of Household Characteristics on Household Daily Traffic Emissions Based on Household Travel Survey Data," Sustainability, MDPI, vol. 11(6), pages 1-12, March.
    2. Lorena BATAGAN, 2011. "Smart Cities and Sustainability Models," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 15(3), pages 80-87.
    3. Xiaomeng Wang & Ling Peng & Tianhe Chi & Mengzhu Li & Xiaojing Yao & Jing Shao, 2015. "A Hidden Markov Model for Urban-Scale Traffic Estimation Using Floating Car Data," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-20, December.
    4. Endreny, T. & Santagata, R. & Perna, A. & Stefano, C. De & Rallo, R.F. & Ulgiati, S., 2017. "Implementing and managing urban forests: A much needed conservation strategy to increase ecosystem services and urban wellbeing," Ecological Modelling, Elsevier, vol. 360(C), pages 328-335.
    5. André Luiz Lopes Toledo & Emílio Lèbre La Rovere, 2018. "Urban Mobility and Greenhouse Gas Emissions: Status, Public Policies, and Scenarios in a Developing Economy City, Natal, Brazil," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
    6. Alexey Miroshnikov & Erin M Conlon, 2014. "parallelMCMCcombine: An R Package for Bayesian Methods for Big Data and Analytics," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-11, September.
    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. Izabela Rojek & Adam Mroziński & Piotr Kotlarz & Marek Macko & Dariusz Mikołajewski, 2023. "AI-Based Computational Model in Sustainable Transformation of Energy Markets," Energies, MDPI, vol. 16(24), pages 1-26, December.
    2. Valentin Grecu & Radu-Ilie-Gabriel Ciobotea & Adrian Florea, 2020. "Software Application for Organizational Sustainability Performance Assessment," Sustainability, MDPI, vol. 12(11), pages 1-28, May.
    3. Mohammad Al-Saidi, 2020. "From Economic to Extrinsic Values of Sustainable Energy: Prestige, Neo-Rentierism, and Geopolitics of the Energy Transition in the Arabian Peninsula," Energies, MDPI, vol. 13(21), pages 1-16, October.
    4. Julian VASILEV & Ilko ILIEV, 2024. "Influence Of Personal And Reactive Anxiety On Personality Characteristics, Cognitive Abilities And Performance Of Basketball Actions," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 19(2), pages 263-273, August.
    5. Olga Pilipczuk, 2020. "Sustainable Smart Cities and Energy Management: The Labor Market Perspective," Energies, MDPI, vol. 13(22), pages 1-24, November.

    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. Rudl Ales & Machar Ivo & Uradnicek Lubos & Praus Ludek & Pechanec Vilem, 2019. "Young urban trees as important structures in the cultural heritage of cities – a case study from Prague," Environmental & Socio-economic Studies, Sciendo, vol. 7(3), pages 14-23, September.
    2. André Luis Azevedo Guedes & Jeferson Carvalho Alvarenga & Maurício Dos Santos Sgarbi Goulart & Martius Vicente Rodriguez y Rodriguez & Carlos Alberto Pereira Soares, 2018. "Smart Cities: The Main Drivers for Increasing the Intelligence of Cities," Sustainability, MDPI, vol. 10(9), pages 1-19, August.
    3. Shen Zhao & Yong Xu, 2019. "Exploring the Spatial Variation Characteristics and Influencing Factors of PM 2.5 Pollution in China: Evidence from 289 Chinese Cities," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    4. Jinming Yang & Shimei Li & Huicui Lu, 2019. "Quantitative Influence of Land-Use Changes and Urban Expansion Intensity on Landscape Pattern in Qingdao, China: Implications for Urban Sustainability," Sustainability, MDPI, vol. 11(21), pages 1-18, November.
    5. Wojciech SZYMALSKI, 2021. "Energy And Co 2 Emission Intensities Of Various Modes Of Passenger Transport In Warsaw," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 16(2), pages 131-140, June.
    6. Di Pirro, E. & Sallustio, L. & Capotorti, G. & Marchetti, M. & Lasserre, B., 2021. "A scenario-based approach to tackle trade-offs between biodiversity conservation and land use pressure in Central Italy," Ecological Modelling, Elsevier, vol. 448(C).
    7. Mona Treude, 2021. "Sustainable Smart City—Opening a Black Box," Sustainability, MDPI, vol. 13(2), pages 1-15, January.
    8. Xinyu Ouyang & Xiangyu Luo, 2022. "Models for Assessing Urban Ecosystem Services: Status and Outlooks," Sustainability, MDPI, vol. 14(8), pages 1-20, April.
    9. Małgorzata Baran & Monika Kłos & Monika Chodorek & Karolina Marchlewska-Patyk, 2022. "The Resilient Smart City Model–Proposal for Polish Cities," Energies, MDPI, vol. 15(5), pages 1-23, March.
    10. Silvia Stuchi & Sonia Paulino & Faïz Gallouj, 2022. "Social Innovation in Active Mobility Public Services in the Megacity of Sao Paulo," Sustainability, MDPI, vol. 14(19), pages 1-16, September.
    11. Sławomira Hajduk, 2020. "Modele smart city a zarządzanie przestrzenne miast," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 2, pages 123-139.
    12. Ozge CELIK YILMAZ & Ozhan ERTEKIN, 2023. "Urban Living Labs As A Tool To Achieve Sustainable Development Goal 16: A Case Study Of Istanbul, Turkiye," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 18(3), pages 88-118, August.
    13. Feng Mao & Zhiheng Li & Kai Zhang, 2021. "A Comparison of Carbon Dioxide Emissions between Battery Electric Buses and Conventional Diesel Buses," Sustainability, MDPI, vol. 13(9), pages 1-15, May.
    14. Monika Wawer & Kalina Grzesiuk & Dorota Jegorow, 2022. "Smart Mobility in a Smart City in the Context of Generation Z Sustainability, Use of ICT, and Participation," Energies, MDPI, vol. 15(13), pages 1-30, June.
    15. Jonathan U Harrison & Ruth E Baker, 2018. "The impact of temporal sampling resolution on parameter inference for biological transport models," PLOS Computational Biology, Public Library of Science, vol. 14(6), pages 1-30, June.
    16. Monge, Juan J. & McDonald, Garry W., 2020. "The Economy-Wide Value-at-Risk from the Exposure of Natural Capital to Climate Change and Extreme Natural Events: The Case of Wind Damage and Forest Recreational Services in New Zealand," Ecological Economics, Elsevier, vol. 176(C).
    17. Munjed A. Maraqa & Francisco D. B. Albuquerque & Mohammed H. Alzard & Rezaul Chowdhury & Lina A. Kamareddine & Jamal El Zarif, 2021. "GHG Emission Reduction Opportunities for Road Projects in the Emirate of Abu Dhabi: A Scenario Approach," Sustainability, MDPI, vol. 13(13), pages 1-22, July.
    18. Dameri, Renata Paola & Benevolo, Clara & Veglianti, Eleonora & Li, Yaya, 2019. "Understanding smart cities as a glocal strategy: A comparison between Italy and China," Technological Forecasting and Social Change, Elsevier, vol. 142(C), pages 26-41.
    19. Daniela Dias & António Pais Antunes & Oxana Tchepel, 2019. "Modelling of Emissions and Energy Use from Biofuel Fuelled Vehicles at Urban Scale," Sustainability, MDPI, vol. 11(10), pages 1-14, May.
    20. David Martin & Sidney Swearingen, 2019. "Improving Environmental Justice Analysis of Urban Tree Ecosystem Services: A Case Study from Asheville, NC," Working Papers 19-01, Davidson College, Department of Economics.

    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:11:y:2019:i:18:p:4821-:d:263900. 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.