IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i8p1264-d882404.html
   My bibliography  Save this article

Spatiotemporal Evolution Characteristics of Urbanization in the Xiamen Special Economic Zone Based on Nighttime-Light Data from 1992 to 2020

Author

Listed:
  • Chunfang Chai

    (Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
    School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Yuanrong He

    (Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
    College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Peng Yu

    (Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
    College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Yuanmao Zheng

    (Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
    School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Zhicheng Chen

    (Xiamen Urban Planning and Design Institute Co., Xiamen 361012, China)

  • Menglin Fan

    (Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
    School of Environmental Science and Engineering, Xiamen University of Technology, Xiamen 361024, China)

  • Yongpeng Lin

    (Big Data Institute of Digital Natural Disaster Monitoring in Fujian, Xiamen University of Technology, Xiamen 361024, China
    College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, China)

Abstract

In China and elsewhere, urban expansion is directly related to the important issues of social development, economic development, and the sustainable development of the ecological environment. Traditional statistical methods based on administrative regions lack geospatial information, which makes it difficult to analyze and explore in detail the development status and spatial differences of cities. In real time, nighttime light (NTL) remote sensing can reveal the spatial expansion change information of urban built-up areas (UB) on different scales, thus allowing for the analysis of urban spatial patterns and variations in urban development. Based on the long-time sequence NTL data from 1992 to 2020, this work studies the Xiamen Special Economic Zone by using the vegetation-water-adjusted NTL urban index (VWANUI) to extract the urban built-up areas and study the UB expansion patterns, the migration of the urban center of gravity, and intra-city differences. The result is a qualitative and quantitative temporal and spatial evaluation of Xiamen’s economic development characteristics. The results show that the UB of Xiamen expanded 349.219 km 2 from 1995 to 2020, mainly concentrated in the period 2005–2020, during which time 79.44% of the expansion of the whole study period occurred. Throughout the study period, the urban center of gravity of Xiamen city shifts 8757.15 m to the northeast at the rate of 350.29 m/year in the direction of 74.88° (the urban center of gravity shifted from the inner island to the outer island). The total brightness of nighttime lights in Xiamen is gradually increasing, indicating that the level of urban economic development continuously improved over the measurement period, that human social activities have strengthened, and that the cross-island development strategy has produced certain results. These results provide data that describe urban development and policy formulation in Xiamen.

Suggested Citation

  • Chunfang Chai & Yuanrong He & Peng Yu & Yuanmao Zheng & Zhicheng Chen & Menglin Fan & Yongpeng Lin, 2022. "Spatiotemporal Evolution Characteristics of Urbanization in the Xiamen Special Economic Zone Based on Nighttime-Light Data from 1992 to 2020," Land, MDPI, vol. 11(8), pages 1-22, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1264-:d:882404
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/8/1264/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/8/1264/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ch, Rafael & Martin, Diego A. & Vargas, Juan F., 2021. "Measuring the size and growth of cities using nighttime light," Journal of Urban Economics, Elsevier, vol. 125(C).
    2. Wenyi Yang & Xueli Wang & Keke Zhang & Zikan Ke, 2020. "COVID-19, Urbanization Pattern and Economic Recovery: An Analysis of Hubei, China," IJERPH, MDPI, vol. 17(24), pages 1-21, December.
    3. Christopher D. Elvidge & Daniel Ziskin & Kimberly E. Baugh & Benjamin T. Tuttle & Tilottama Ghosh & Dee W. Pack & Edward H. Erwin & Mikhail Zhizhin, 2009. "A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data," Energies, MDPI, vol. 2(3), pages 1-28, August.
    4. Gong, Jianzhou & Hu, Zhiren & Chen, Wenli & Liu, Yansui & Wang, Jieyong, 2018. "Urban expansion dynamics and modes in metropolitan Guangzhou, China," Land Use Policy, Elsevier, vol. 72(C), pages 100-109.
    5. Yuantong Jiang & Shoukai Sun & Shuanning Zheng, 2019. "Exploring Urban Expansion and Socioeconomic Vitality Using NPP-VIIRS Data in Xia-Zhang-Quan, China," Sustainability, MDPI, vol. 11(6), pages 1-21, March.
    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. Zhongwu Zhang & Yuanfang Liu, 2022. "Spatial Expansion and Correlation of Urban Agglomeration in the Yellow River Basin Based on Multi-Source Nighttime Light Data," Sustainability, MDPI, vol. 14(15), pages 1-16, July.
    2. Tilottama Ghosh & Christopher D. Elvidge & Paul C. Sutton & Kimberly E. Baugh & Daniel Ziskin & Benjamin T. Tuttle, 2010. "Creating a Global Grid of Distributed Fossil Fuel CO 2 Emissions from Nighttime Satellite Imagery," Energies, MDPI, vol. 3(12), pages 1-19, December.
    3. Thomas Akpan Harry & Ekemini John Peter & Nsidibe Akpan Udoduk, 2022. "Environmental Impact Assessment Of Oil Producing Communities In Part Of The Niger Delta. A Case Study Of Ibeno, Ikot Abasi, Onna And Esit-Eket Local Government Area In Akwa Ibom State, Nigeria," Environmental Contaminants Reviews (ECR), Zibeline International Publishing, vol. 5(2), pages 49-56, April.
    4. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    5. Boslett, Andrew & Hill, Elaine & Ma, Lala & Zhang, Lujia, 2021. "Rural light pollution from shale gas development and associated sleep and subjective well-being," Resource and Energy Economics, Elsevier, vol. 64(C).
    6. Yaxi Gong & Xiang Ji & Yuan Zhang & Shanshan Cheng, 2023. "Spatial Vitality Evaluation and Coupling Regulation Mechanism of a Complex Ecosystem in Lixiahe Plain Based on Multi-Source Data," Sustainability, MDPI, vol. 15(3), pages 1-32, January.
    7. Xuemei Wang & Mingguo Ma, 2017. "The luminous intensity of regional ‘night-light’ output can predict the growing volume of published scientific research by ‘luminaries’ in developing countries," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(2), pages 1005-1010, February.
    8. Andrew M. Linke & Frank D. W. Witmer & John O'Loughlin, 2012. "Space-Time Granger Analysis of the War in Iraq: A Study of Coalition and Insurgent Action-Reaction," International Interactions, Taylor & Francis Journals, vol. 38(4), pages 402-425, September.
    9. Juergen Bitzer & Erkan Goeren, 2018. "Foreign Aid and Subnational Development: A Grid Cell Analysis," Working Papers V-407-18, University of Oldenburg, Department of Economics, revised Mar 2018.
    10. Dawson, C.J. & Hilton, J., 2011. "Fertiliser availability in a resource-limited world: Production and recycling of nitrogen and phosphorus," Food Policy, Elsevier, vol. 36(S1), pages 14-22.
    11. Omoniyi Alimi & Geua Boe-Gibson & John Gibson, 2022. "Noisy Night Lights Data: Effects on Research Findings for Developing Countries," Working Papers in Economics 22/12, University of Waikato.
    12. Adriana Kocornik-Mina & Thomas K. J. McDermott & Guy Michaels & Ferdinand Rauch, 2020. "Flooded Cities," American Economic Journal: Applied Economics, American Economic Association, vol. 12(2), pages 35-66, April.
    13. Su, Yongxian & Chen, Xiuzhi & Li, Yong & Liao, Jishan & Ye, Yuyao & Zhang, Hongou & Huang, Ningsheng & Kuang, Yaoqiu, 2014. "China׳s 19-year city-level carbon emissions of energy consumptions, driving forces and regionalized mitigation guidelines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 35(C), pages 231-243.
    14. Michał Myck & Mateusz Najsztub, 2020. "Implications of the Polish 1999 administrative reform for regional socio‐economic development," Economics of Transition and Institutional Change, John Wiley & Sons, vol. 28(4), pages 559-579, October.
    15. Ch, Rafael & Martin, Diego A. & Vargas, Juan F., 2021. "Measuring the size and growth of cities using nighttime light," Journal of Urban Economics, Elsevier, vol. 125(C).
    16. Felbermayr, Gabriel & Gröschl, Jasmin & Sanders, Mark & Schippers, Vincent & Steinwachs, Thomas, 2018. "Shedding Light on the Spatial Diffusion of Disasters," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181556, Verein für Socialpolitik / German Economic Association.
    17. Chen, Yuangong & Chen, Wenli & Gong, Jianzhou & Yuan, Haiwei, 2023. "Uncommonly known change characteristics of land use pattern in Guangdong Province–Hong Kong–Macao, China: Space time pattern, terrain gradient effects and policy implication," Land Use Policy, Elsevier, vol. 125(C).
    18. Mulubrhan Amare & Channing Arndt & Kibrom A Abay & Todd Benson, 2020. "Urbanization and Child Nutritional Outcomes," The World Bank Economic Review, World Bank, vol. 34(1), pages 63-74.
    19. Galdo, Virgilio & Li, Yue & Rama, Martin, 2021. "Identifying urban areas by combining human judgment and machine learning: An application to India," Journal of Urban Economics, Elsevier, vol. 125(C).
    20. Gibson, John & Datt, Gaurav & Murgai, Rinku & Ravallion, Martin, 2017. "For India’s Rural Poor, Growing Towns Matter More Than Growing Cities," World Development, Elsevier, vol. 98(C), pages 413-429.

    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:jlands:v:11:y:2022:i:8:p:1264-:d:882404. 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.