IDEAS home Printed from https://ideas.repec.org/a/apa/ijtess/2017p20-28.html
   My bibliography  Save this article

Prediction for Nonthaburi Urban Parks by Integrated Geo-Informatics Techniques

Author

Listed:
  • TEERAWATE LIMGOMONVILAS

    (Faculty of Social Sciences, Srinakharinwirot University, Bangkok, Thailand)

Abstract

Lack of suitable area for urban parks is the big problem in Thailand. The goal of this research is to find a suitable area for urban parks in Nonthaburi province, Thailand and to predict future land use (2019 and 2024) that will support urban parks. Data analysis was under integrated Remote Sensing (RS) to classify existing land use, Geographic Information System (GIS) with Multi-Criteria Analysis (MCA) to find the suitable area and CA-Markov model to predict the future land use. Finally, we integrated MCA with CA-Markov to improve future land use for urban parks. Then we compared the alternative of letting urban expansion without direction with an alternative of a prepared suitable land use for urban parks in the future. The study concludes that integrating Geo-Informatics modeling can increase suitable urban park areas from urban expansion up to 7.58 and 12.56 sq.km. in 2019 and 2024 respectively. The increase of the urban park areas in 2019 can increase about 6.41 sq.m. per person, which is higher than the Thailand standard (4 sq.m. per person) and is close to the world standard.

Suggested Citation

  • Teerawate Limgomonvilas, 2017. "Prediction for Nonthaburi Urban Parks by Integrated Geo-Informatics Techniques," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 3(1), pages 20-28.
    • Handle: RePEc:apa:ijtess:2017:p:20-28
    DOI: 10.20469/ijtes.3.40003-1
    as

    Download full text from publisher

    File URL: https://kkgpublications.com/technology-engineering-studies-volume-3-issue-1/
    Download Restriction: no
    File URL: https://kkgpublications.com/wp-content/uploads/2019/04/ijtes.3.40003-1.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.20469/ijtes.3.40003-1?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yang, Xin & Zheng, Xin-Qi & Chen, Rui, 2014. "A land use change model: Integrating landscape pattern indexes and Markov-CA," Ecological Modelling, Elsevier, vol. 283(C), pages 1-7.
    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. Menor Dawn Bernadette Ortillo, 2019. "A configurable data management solution For Small-Medium Enterprises (SMEs)," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(3), pages 101-115.
    2. Pornthip Liewtrakul & Katawut Kaewbanjong, 2017. "A Semantic Web Service Retrieval Approach that Combines Semantic Matching With Quality of Service Matching," Journal of ICT, Design, Engineering and Technological Science, Juhriyansyah Dalle, vol. 1(2), pages 42-47.
    3. Felix Constantin Adochiei & Radu Ciucu & Ioana Raluca Adochiei & Florin Ciprian Argatu & CiprianMarius Larco & Miron Casian, 2019. "A Data Analysis platform for high altitude bio monitoring using DEVOPS principles and time series machine learning," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(1), pages 18-24.
    4. Niang Sian Lun & Siddharth Chaudhary & Sarawut Ninsawat, 2023. "Assessment of Machine Learning Methods for Urban Types Classification Using Integrated SAR and Optical Images in Nonthaburi, Thailand," Sustainability, MDPI, vol. 15(2), pages 1-17, January.

    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. Han, Yu & Jia, Haifeng, 2017. "Simulating the spatial dynamics of urban growth with an integrated modeling approach: A case study of Foshan, China," Ecological Modelling, Elsevier, vol. 353(C), pages 107-116.
    2. Yusuyunjiang Mamitimin & Zibibula Simayi & Ayinuer Mamat & Bumairiyemu Maimaiti & Yunfei Ma, 2023. "FLUS Based Modeling of the Urban LULC in Arid and Semi-Arid Region of Northwest China: A Case Study of Urumqi City," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    3. Ruci Wang & Ahmed Derdouri & Yuji Murayama, 2018. "Spatiotemporal Simulation of Future Land Use/Cover Change Scenarios in the Tokyo Metropolitan Area," Sustainability, MDPI, vol. 10(6), pages 1-18, June.
    4. Yuhan Yu & Mengmeng Yu & Lu Lin & Jiaxin Chen & Dongjie Li & Wenting Zhang & Kai Cao, 2019. "National Green GDP Assessment and Prediction for China Based on a CA-Markov Land Use Simulation Model," Sustainability, MDPI, vol. 11(3), pages 1-19, January.
    5. Yanan Li & Linghua Duo & Ming Zhang & Zhenhua Wu & Yanjun Guan, 2021. "Assessment and Estimation of the Spatial and Temporal Evolution of Landscape Patterns and Their Impact on Habitat Quality in Nanchang, China," Land, MDPI, vol. 10(10), pages 1-19, October.
    6. Yiting Chen & Zhanbin Li & Peng Li & Yixin Zhang & Hailiang Liu & Jinjin Pan, 2022. "Impacts and Projections of Land Use and Demographic Changes on Ecosystem Services: A Case Study in the Guanzhong Region, China," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    7. Yi Lu & Xiangrong Wang & Yujing Xie & Kun Li & Yiyang Xu, 2016. "Integrating Future Land Use Scenarios to Evaluate the Spatio-Temporal Dynamics of Landscape Ecological Security," Sustainability, MDPI, vol. 8(12), pages 1-20, November.
    8. Wang, Quan & Wang, Haijun & Chang, Ruihan & Zeng, Haoran & Bai, Xuepiao, 2022. "Dynamic simulation patterns and spatiotemporal analysis of land-use/land-cover changes in the Wuhan metropolitan area, China," Ecological Modelling, Elsevier, vol. 464(C).
    9. Yang Gao & Zhen Shen & Yuexin Liu & Chaoyue Yu & Lihan Cui & Cuiling Song, 2023. "Optimization of differentiated regional land development patterns based on urban expansion simulation—A case in China," Growth and Change, Wiley Blackwell, vol. 54(1), pages 45-73, March.
    10. Yaya Tian & Guanghui Jiang & Dingyang Zhou & Tao Zhou & Wenqiu Ma, 2022. "A Refined Rural Settlements Simulation Considering the Competition Relationship among the Internal Land Use Types: A Case Study of Pinggu District," Land, MDPI, vol. 11(5), pages 1-19, April.
    11. Fajar Yulianto & Muhammad Rokhis Khomarudin & Eddy Hermawan & Syarif Budhiman & Parwati Sofan & Galdita Aruba Chulafak & Nunung Puji Nugroho & Randy Prima Brahmantara & Gatot Nugroho & Suwarsono Suwar, 2023. "The development of the Raster-based Probability Flood Inundation Model (RProFIM) approach for flood modelling in the upstream Citarum Watershed, West Java, Indonesia," 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. 117(2), pages 1887-1922, June.
    12. Eshetu Yirsaw & Wei Wu & Xiaoping Shi & Habtamu Temesgen & Belew Bekele, 2017. "Land Use/Land Cover Change Modeling and the Prediction of Subsequent Changes in Ecosystem Service Values in a Coastal Area of China, the Su-Xi-Chang Region," Sustainability, MDPI, vol. 9(7), pages 1-17, July.
    13. Ge Shi & Nan Jiang & Lianqiu Yao, 2018. "Land Use and Cover Change during the Rapid Economic Growth Period from 1990 to 2010: A Case Study of Shanghai," Sustainability, MDPI, vol. 10(2), pages 1-15, February.
    14. Shilei Wang & Yanbo Qu & Weiying Zhao & Mei Guan & Zongli Ping, 2022. "Evolution and Optimization of Territorial-Space Structure Based on Regional Function Orientation," Land, MDPI, vol. 11(4), pages 1-26, March.
    15. Ying Jiang & Yilinuer Alifujiang & Pingping Feng & Ping Yang & Jianpeng Feng, 2024. "A Simulated Assessment of Land Use and Carbon Storage Changes in the Yanqi Basin under Different Development Scenarios," Land, MDPI, vol. 13(6), pages 1-23, May.
    16. Mustafa, Ahmed & Cools, Mario & Saadi, Ismaïl & Teller, Jacques, 2017. "Coupling agent-based, cellular automata and logistic regression into a hybrid urban expansion model (HUEM)," Land Use Policy, Elsevier, vol. 69(C), pages 529-540.
    17. Nij Tontisirin & Sutee Anantsuksomsri, 2021. "Economic Development Policies and Land Use Changes in Thailand: From the Eastern Seaboard to the Eastern Economic Corridor," Sustainability, MDPI, vol. 13(11), pages 1-20, May.
    18. Rui Zhou & Hao Zhang & Xin-Yue Ye & Xin-Jun Wang & Hai-Long Su, 2016. "The Delimitation of Urban Growth Boundaries Using the CLUE-S Land-Use Change Model: Study on Xinzhuang Town, Changshu City, China," Sustainability, MDPI, vol. 8(11), pages 1-16, November.
    19. Shixiong Yan & Yuannan Long & Huaiguang He & Xiaofeng Wen & Qian Lv & Moruo Zheng, 2023. "Flood response to urban expansion in the Lushui River Basin," 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. 115(1), pages 779-805, January.
    20. Guoliang Zhao & Xinqi Zheng & Zhiyuan Yuan & Lulu Zhang, 2017. "Spatial and Temporal Characteristics of Road Networks and Urban Expansion," Land, MDPI, vol. 6(2), pages 1-19, April.

    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:apa:ijtess:2017:p:20-28. 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: PROF.IR.DR.Mohid Jailani Mohd Nor (email available below). General contact details of provider: https://kkgpublications.com/technology/ .

    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.