IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i7p3194-d1627660.html
   My bibliography  Save this article

Sustainability by Using IoT-PWS Data and Remote Sensing and Geographic Information Systems Technology in Erasmus+ Supported Project: The Case of Antalya/Aksu

Author

Listed:
  • Ercument Aksoy

    (Department of Architecture and City Planning, Geographic Information Systems, Technical Science Vocational School, Akdeniz University, 07070 Antalya, Turkey)

  • Gulsen Topcu

    (Aksu Aircraft Maintenance Technology Vocational and Technical Anatolian High School, 07112 Antalya, Turkey)

  • Irfan Topcu

    (Aksu Aircraft Maintenance Technology Vocational and Technical Anatolian High School, 07112 Antalya, Turkey)

  • Ayse Demirci

    (Aksu Aircraft Maintenance Technology Vocational and Technical Anatolian High School, 07112 Antalya, Turkey)

  • Onder Kabas

    (Department of Machine, Technical Science Vocational School, Akdeniz University, 07070 Antalya, Turkey)

  • Mirela Nicoleta Dınca

    (Department of Biotechnical Systems, Faculty of Biotechnical Systems Engineering, National University of Science and Technology Politehnica Bucharest, 060042 Bucharest, Romania)

Abstract

Due to climate change, situations that threaten humanity, such as temperature increases, drought, forest fires, sea level rise, erosion, floods, and migrations, are gradually increasing. Understanding climate change has gained more importance day by day due to the negative effects of disasters. Quantitative spatial analyses were carried out with the help of Remote Sensing (RS) and Earth Observation (EO) technology using Geographic Information Systems (GIS) by establishing an Internet of Things (IoT) Meteorological Station (IoT-PWS) with Erasmus+ support. The dataset consists of Road, Meteorological Station, Climate (Temperature, Wind Speed), Land Use—Land Cover (Copernicus LULC), and Population data. As a result of the findings of the research, it was determined that IoT-PWS has a positive contribution to many areas such as agriculture, traffic, scientific studies, local administration, and local public information in the region, and the positive contribution will continue as the station data flow continues. The study is designed as a guide to the use of GIS, RS, and EO technology for educators working on curriculum renewal and project implementation in the field of Environment and Combating Climate Change, one of the four key priorities of Erasmus+. The study contributes indirectly to all indicators in the Sustainable Development Goals as well as directly contributes to Goal 11, Goal 13, and Goal 15.

Suggested Citation

  • Ercument Aksoy & Gulsen Topcu & Irfan Topcu & Ayse Demirci & Onder Kabas & Mirela Nicoleta Dınca, 2025. "Sustainability by Using IoT-PWS Data and Remote Sensing and Geographic Information Systems Technology in Erasmus+ Supported Project: The Case of Antalya/Aksu," Sustainability, MDPI, vol. 17(7), pages 1-19, April.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:3194-:d:1627660
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/7/3194/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/7/3194/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Datla, Sandeep & Sharma, Satish, 2008. "Impact of cold and snow on temporal and spatial variations of highway traffic volumes," Journal of Transport Geography, Elsevier, vol. 16(5), pages 358-372.
    2. Andrey, Jean & Hambly, Derrick & Mills, Brian & Afrin, Sadia, 2013. "Insights into driver adaptation to inclement weather in Canada," Journal of Transport Geography, Elsevier, vol. 28(C), pages 192-203.
    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. Black, Alan W. & Mote, Thomas L., 2015. "Effects of winter precipitation on automobile collisions, injuries, and fatalities in the United States," Journal of Transport Geography, Elsevier, vol. 48(C), pages 165-175.
    2. Bardal, Kjersti Granås & Jørgensen, Finn, 2017. "Valuing the risk and social costs of road traffic accidents – Seasonal variation and the significance of delay costs," Transport Policy, Elsevier, vol. 57(C), pages 10-19.
    3. Andrey, Jean & Hambly, Derrick & Mills, Brian & Afrin, Sadia, 2013. "Insights into driver adaptation to inclement weather in Canada," Journal of Transport Geography, Elsevier, vol. 28(C), pages 192-203.
    4. Darren Shannon & Grigorios Fountas, 2022. "Amending the Heston Stochastic Volatility Model to Forecast Local Motor Vehicle Crash Rates: A Case Study of Washington, D.C," Papers 2203.01729, arXiv.org.
    5. Seungil Yum, 2023. "Spatial response and power law distribution according to Winter storm Jonas," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(6), pages 5241-5255, December.
    6. Yanmin Qi & Zuduo Zheng & Dongyao Jia, 2020. "Exploring the Spatial-Temporal Relationship between Rainfall and Traffic Flow: A Case Study of Brisbane, Australia," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    7. Daniel Burow & Christopher Atkinson, 2019. "An examination of traffic volume during snow events in northeast Ohio," 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. 99(2), pages 1179-1189, November.
    8. Andrey, Jean, 2010. "Long-term trends in weather-related crash risks," Journal of Transport Geography, Elsevier, vol. 18(2), pages 247-258.
    9. Chen, Cong & Zhang, Su & Zhang, Guohui & Bogus, Susan M. & Valentin, Vanessa, 2014. "Discovering temporal and spatial patterns and characteristics of pavement distress condition data on major corridors in New Mexico," Journal of Transport Geography, Elsevier, vol. 38(C), pages 148-158.
    10. Hyuk-Jae Roh, 2024. "Development and Application of a Winter Weather Traffic Imputation Model: A Comparative Study Against Machine Learning Techniques During the Winter Season," Sustainability, MDPI, vol. 17(1), pages 1-22, December.
    11. Bardal, Kjersti Granås & Mathisen, Terje Andreas, 2015. "Winter problems on mountain passes – Implications for cost-benefit analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 74(C), pages 59-72.
    12. Kvizda, Martin & Seidenglanz, Daniel, 2014. "Out of Prague: a week-long intermodal shift from air to rail transport after Iceland’s Eyjafjallajökull erupted in 2010," Journal of Transport Geography, Elsevier, vol. 37(C), pages 102-111.
    13. Ludwig Dumetz & Jean-François Audy & Mikael Rönnqvist & Riadh Azouzi, 2024. "Simulation-based evaluation of road transportation logistics in a dry port with topographic challenges," Journal of Shipping and Trade, Springer, vol. 9(1), pages 1-18, December.
    14. Chen, Yu & Lu, Yuqi & Jin, Cheng, 2024. "Spatiotemporal differentiation calendar for car and truck flow on expressways: A case study of Jiangsu, China," Journal of Transport Geography, Elsevier, vol. 116(C).
    15. Bardal, Kjersti Granås, 2017. "Impacts of adverse weather on Arctic road transport," Journal of Transport Geography, Elsevier, vol. 59(C), pages 49-58.
    16. Yichuan Peng & Yuming Jiang & Jian Lu & Yajie Zou, 2018. "Examining the effect of adverse weather on road transportation using weather and traffic sensors," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-14, October.
    17. Saenz-de-Miera, Oscar & Rosselló, Jaume, 2012. "The responsibility of tourism in traffic congestion and hyper-congestion: A case study from Mallorca, Spain," Tourism Management, Elsevier, vol. 33(2), pages 466-479.
    18. Nordin, Lina & Arvidsson, Anna K., 2014. "Are winter road maintenance practices energy efficient? A geographical analysis in terms of traffic energy use," Journal of Transport Geography, Elsevier, vol. 41(C), pages 163-174.
    19. Lesley Strawderman & Daniel W. Carruth & Kathleen Sherman-Morris & Philip Menard & Merrill Warkentin & Karen S. McNeal, 2018. "Individual transportation decisions under conditions of risk and uncertainty," 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. 92(2), pages 927-942, June.
    20. Songhua Hu & Kailai Wang & Lingyao Li & Yingrui Zhao & Zhenbing He & Yunpeng & Zhang, 2023. "Modeling Link-level Road Traffic Resilience to Extreme Weather Events Using Crowdsourced Data," Papers 2310.14380, arXiv.org.

    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:17:y:2025:i:7:p:3194-:d:1627660. 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.