IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i6p1739-d216276.html
   My bibliography  Save this article

Exploring Urban Expansion and Socioeconomic Vitality Using NPP-VIIRS Data in Xia-Zhang-Quan, China

Author

Listed:
  • Yuantong Jiang

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shoukai Sun

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shuanning Zheng

    (Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

Abstract

Studying the spatiotemporal evolution of urban expansion in the Xia-Zhang-Quan metropolitan area (XZQ) is of crucial importance, to effectively guide coordinated development and industrial adjustment during urbanization. Based on National Polar Partnership-Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) data this study used an analytical method of irregular spatial grids to explore and evaluate the dynamics of urban spatial expansion and urban socioeconomic vitality in XZQ between 2013 and 2017. The results show that the gulf-type urban development strategy of Xiamen has played a key role in the integration and development of XZQ. The urban area increased by 20–30% and increased intensity of socioeconomic activities was demonstrated by observed increases in the total brightness of urban nighttime light. Due to its unique advantages in the agricultural industries, Zhangzhou made significant economic progress during 2013–2017. At the same time, driven by spatial processes in Xiamen, areas such as the Zhangzhou Port Area and Longhai also achieved significant progress. This is also the case in Quanzhou and thus, collectively there is evidence of multi-polar growth. Jinjiang and Shishi effectively utilized coastal port economy development advantages to play a key role in the integration and development of XZQ. There were both commonalities and differences in terms of the characteristics of spatial expansion in different cities of XZQ. In summary, this study provides evidence to support further promotion of coordinated development in XZQ, and with appropriate caveats these findings could also be transferred to other urban agglomerations.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:6:p:1739-:d:216276
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/6/1739/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/6/1739/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhaoxin Dai & Yunfeng Hu & Guanhua Zhao, 2017. "The Suitability of Different Nighttime Light Data for GDP Estimation at Different Spatial Scales and Regional Levels," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    2. Min Xu & Chunyang He & Zhifeng Liu & Yinyin Dou, 2016. "How Did Urban Land Expand in China between 1992 and 2015? A Multi-Scale Landscape Analysis," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-19, May.
    3. 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.
    4. Minghong Tan, 2015. "Urban Growth and Rural Transition in China Based on DMSP/OLS Nighttime Light Data," Sustainability, MDPI, vol. 7(7), pages 1-14, July.
    5. Tian, Guangjin & Jiang, Jing & Yang, Zhifeng & Zhang, Yaoqi, 2011. "The urban growth, size distribution and spatio-temporal dynamic pattern of the Yangtze River Delta megalopolitan region, China," Ecological Modelling, Elsevier, vol. 222(3), pages 865-878.
    6. Júlia A. Nagy & József Benedek & Kinga Ivan, 2018. "Measuring Sustainable Development Goals at a Local Level: A Case of a Metropolitan Area in Romania," Sustainability, MDPI, vol. 10(11), pages 1-15, October.
    7. Karen C. Seto & Robert K. Kaufmann, 2003. "Modeling the Drivers of Urban Land Use Change in the Pearl River Delta, China: Integrating Remote Sensing with Socioeconomic Data," Land Economics, University of Wisconsin Press, vol. 79(1), pages 106-121.
    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. 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.
    2. Zhenyu Du & Wei Wu & Yongxue Liu & Weifeng Zhi & Wanyun Lu, 2021. "Evaluation of China’s High-Speed Rail Station Development and Nearby Human Activity Based on Nighttime Light Images," IJERPH, MDPI, vol. 18(2), pages 1-20, January.
    3. Wenbin Pan & Hongming Fu & Peng Zheng, 2020. "Regional Poverty and Inequality in the Xiamen-Zhangzhou-Quanzhou City Cluster in China Based on NPP/VIIRS Night-Time Light Imagery," Sustainability, MDPI, vol. 12(6), pages 1-20, March.

    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. Bao Meng & Xuxi Wang & Zhifeng Zhang & Pei Huang, 2022. "Spatio-Temporal Pattern and Driving Force Evolution of Cultivated Land Occupied by Urban Expansion in the Chengdu Metropolitan Area," Land, MDPI, vol. 11(9), pages 1-17, September.
    2. Xiao, Hongwei & Ma, Zhongyu & Mi, Zhifu & Kelsey, John & Zheng, Jiali & Yin, Weihua & Yan, Min, 2018. "Spatio-temporal simulation of energy consumption in China's provinces based on satellite night-time light data," Applied Energy, Elsevier, vol. 231(C), pages 1070-1078.
    3. Huan Lu & Ruiyang Wang & Rong Ye & Jinzhao Fan, 2023. "Monitoring Long-Term Spatiotemporal Dynamics of Urban Expansion Using Multisource Remote Sensing Images and Historical Maps: A Case Study of Hangzhou, China," Land, MDPI, vol. 12(1), pages 1-23, January.
    4. Ran Guo & Hong Leng & Qing Yuan & Shiyi Song, 2022. "Impact of Urban Form on CO 2 Emissions under Different Socioeconomic Factors: Evidence from 132 Small and Medium-Sized Cities in China," Land, MDPI, vol. 11(5), pages 1-20, May.
    5. Yanhong Zou & Jingya Shen & Yuying Chen & Baoyi Zhang, 2023. "Monitoring Urban Expansion (2000–2020) in Yangtze River Delta Using Time-Series Nighttime Light Data and MODIS NDVI," Sustainability, MDPI, vol. 15(12), pages 1-22, June.
    6. Rong Wu & Yongli Zhang & Meilin Dai & Qingyin Li & Changlong Sun, 2023. "The Heterogeneity of the Drivers of Urban Form in China: Perspectives from Regional Disparities and Development Stage Variations," Land, MDPI, vol. 12(7), pages 1-20, July.
    7. Meng, Liting & Sun, Yan & Zhao, Shuqing, 2020. "Comparing the spatial and temporal dynamics of urban expansion in Guangzhou and Shenzhen from 1975 to 2015: A case study of pioneer cities in China’s rapid urbanization," Land Use Policy, Elsevier, vol. 97(C).
    8. Chau, Nancy H. & Qin, Yu & Zhang, Weiwen, 2015. "Networked Leaders in the Shadow of the Market – A Chinese Experiment in Allocating Land Conversion Rights," Working Papers 250022, Cornell University, Department of Applied Economics and Management.
    9. 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).
    10. David Hidalgo García & Julián Arco Díaz & Adelaida Martín Martín & Emilio Gómez Cobos, 2022. "Spatiotemporal Analysis of Urban Thermal Effects Caused by Heat Waves through Remote Sensing," Sustainability, MDPI, vol. 14(19), pages 1-24, September.
    11. Chen, Qifei & Wang, Meng, 2022. "Opening of high-speed rail and the consumer service industry: Evidence from China," Economic Analysis and Policy, Elsevier, vol. 76(C), pages 31-45.
    12. Tommaso Orusa & Annalisa Viani & Enrico Borgogno-Mondino, 2024. "Earth Observation Data and Geospatial Deep Learning AI to Assign Contributions to European Municipalities Sen4MUN: An Empirical Application in Aosta Valley (NW Italy)," Land, MDPI, vol. 13(1), pages 1-21, January.
    13. Jianglong Chen & Jinlong Gao & Feng Yuan, 2016. "Growth Type and Functional Trajectories: An Empirical Study of Urban Expansion in Nanjing, China," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-18, February.
    14. Weizhong Su & Gaobin Ye, 2014. "Differences of Soil Fertility in Farmland Occupation and Supplement Areas in the Taihu Lake Watershed during 1985–2010," IJERPH, MDPI, vol. 11(6), pages 1-15, May.
    15. 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).
    16. Jie Song & Dongyan Cai & Jinsong Deng & Ke Wang & Zhangquan Shen, 2015. "Dynamics of Paddy Field Patterns in Response to Urbanization: A Case Study of the Hang-Jia-Hu Plain," Sustainability, MDPI, vol. 7(10), pages 1-23, October.
    17. Weiguo Liu & Karen C Seto, 2008. "Using the ART-MMAP Neural Network to Model and Predict Urban Growth: A Spatiotemporal Data Mining Approach," Environment and Planning B, , vol. 35(2), pages 296-317, April.
    18. Janoskova Katarina & Kral Pavol, 2019. "National innovative performance and sustainable development – the case of Slovakia," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 28-37, May.
    19. GIBSON, John & ZHANG, Xiaoxuan & PARK, Albert & YI, Jiang & XI, Li, 2024. "Remotely measuring rural economic activity and poverty : Do we just need better sensors?," CEI Working Paper Series 2023-08, Center for Economic Institutions, Institute of Economic Research, Hitotsubashi University.
    20. 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.

    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:6:p:1739-:d:216276. 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.