IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v11y2019i3p675-d201312.html
   My bibliography  Save this article

Urban Land Intensive Use Evaluation Study Based on Nighttime Light—A Case Study of the Yangtze River Economic Belt

Author

Listed:
  • Xin Cheng

    (College of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

  • Hua Shao

    (College of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

  • Yang Li

    (Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing Normal University, Nanjing 210023, China
    Key Laboratory of Virtual Geographic Environment, Nanjing Normal University, Ministry of Education, Nanjing 210023, China
    School of Geographic Science, Nanjing Normal University, Nanjing 210046, China)

  • Chao Shen

    (College of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

  • Peipei Liang

    (College of Geomatics Science and Technology, Nanjing Tech University, Nanjing 211816, China)

Abstract

Urban land intensive use meets the requirements for the sustainable development of urban land and is an important part of urban sustainable development. The Yangtze River Economic Belt (YREB) spans the three major regions of China, which are the most active areas of China’s economy. The contradiction between humans and land is becoming more acute. There are also regional differences in land use patterns affecting the coordinated development of the YREB and the construction of an ecological civilization. Therefore, the scientific evaluation of urban land intensive use is a key area in the current research field of urban sustainable development. In this study, the YREB is chosen as the research object, and urban land intensive use is studied using nighttime light data and statistical data on the urban built-up area. An evaluation model based on urban nighttime light intensity and land urbanization is constructed with an allometric growth model. Considering that the impact of land urbanization on urban nighttime light has a possible lag effect, an evaluation model of land intensive use that considers the lag effect between urban nighttime light and the land urbanization level is proposed. Using urban agglomerations and some typical cities in the study area as research samples, the characteristics of urban nighttime light and land urbanization are analyzed to reveal the spatial and temporal characteristics of land development in the YREB. The results show that nighttime light remote-sensing data can better reflect the level of urban land use, the allometric growth model can better fit the intensity of urban light and the land urbanization level, and the allometric growth characteristics can reflect the land use characteristics of different cities and urban agglomerations. In regional experiments with typical cities and with urban agglomerations, compared to the original allometric growth model, the goodness of fit of the allometric growth model with the lag effect improves, on average, by 3.2% and 2%, respectively, with the highest increases being by 9.9% and 4.9%, respectively. The level of intensive land use in the YREB gradually decreases from east to west, and there are great differences among different cities in the provinces and urban agglomerations. The lower reaches of the Yangtze River have high land intensive use on the whole. In the middle reaches, multicenter cities have a greater efficiency of land use than the surrounding cities. In the upper reaches, only Chengdu and Chongqing have clear advantages in urban land intensive use. The results of this study can be helpful in providing an important reference for the sustainable development of land in the YREB and can provide a basis for future urban land optimization and sustainable development. Realizing the coordination and linkage between key cities and major cities is the key to enhancing the overall sustainable development ability of the core cities in the YREB.

Suggested Citation

  • Xin Cheng & Hua Shao & Yang Li & Chao Shen & Peipei Liang, 2019. "Urban Land Intensive Use Evaluation Study Based on Nighttime Light—A Case Study of the Yangtze River Economic Belt," Sustainability, MDPI, vol. 11(3), pages 1-21, January.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:3:p:675-:d:201312
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/11/3/675/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/11/3/675/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiaoteng Cen & Cifang Wu & Xiaoshi Xing & Ming Fang & Zhuoma Garang & Yizhou Wu, 2015. "Coupling Intensive Land Use and Landscape Ecological Security for Urban Sustainability: An Integrated Socioeconomic Data and Spatial Metrics Analysis in Hangzhou City," Sustainability, MDPI, vol. 7(2), pages 1-24, January.
    2. Doll, Christopher N.H. & Muller, Jan-Peter & Morley, Jeremy G., 2006. "Mapping regional economic activity from night-time light satellite imagery," Ecological Economics, Elsevier, vol. 57(1), pages 75-92, April.
    3. Yang Li & Hua Shao & Nan Jiang & Ge Shi & Xin Cheng, 2018. "The Evolution of the Urban Spatial Pattern in the Yangtze River Economic Belt: Based on Multi-Source Remote Sensing Data," Sustainability, MDPI, vol. 10(8), pages 1-21, August.
    4. Yuyao Ye & Shengfa Li & Hongou Zhang & Yongxian Su & Qitao Wu & Changjian Wang, 2017. "Spatial-Temporal Dynamics of the Economic Efficiency of Construction Land in the Pearl River Delta Megalopolis from 1998 to 2012," Sustainability, MDPI, vol. 10(1), pages 1-18, December.
    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. Bowen Chen & Changyan Wu & Xianjin Huang & Xuefeng Yang, 2020. "Examining the Relationship between Urban Land Expansion and Economic Linkage Using Coupling Analysis: A Case Study of the Yangtze River Economic Belt, China," Sustainability, MDPI, vol. 12(3), pages 1-21, February.
    2. Hui Li & Kunqiu Chen & Lei Yan & Yulin Zhu & Liuwen Liao & Yangle Chen, 2021. "Urban Land Use Transitions and the Economic Spatial Spillovers of Central Cities in China’s Urban Agglomerations," Land, MDPI, vol. 10(6), pages 1-27, June.
    3. Lan, Hai & Zheng, Puyang & Li, Zheng, 2021. "Constructing urban sprawl measurement system of the Yangtze River economic belt zone for healthier lives and social changes in sustainable cities," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    4. Liangliang Zhou & Yishao Shi & Xiangyang Cao, 2019. "Evaluation of Land Intensive Use in Shanghai Pilot Free Trade Zone," Land, MDPI, vol. 8(6), pages 1-16, May.
    5. Yunfeng Hu & Yueqi Han, 2019. "Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    6. Cao, Yanni & Kong, Lingqiao & Zhang, Lufeng & Ouyang, Zhiyun, 2021. "The balance between economic development and ecosystem service value in the process of land urbanization: A case study of China’s land urbanization from 2000 to 2015," Land Use Policy, Elsevier, vol. 108(C).

    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. Corral, Leonardo R. & Schling, Maja, 2017. "The impact of shoreline stabilization on economic growth in small island developing states," Journal of Environmental Economics and Management, Elsevier, vol. 86(C), pages 210-228.
    2. 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).
    3. Natalya Rybnikova & Boris Portnov, 2015. "Using light-at-night (LAN) satellite data for identifying clusters of economic activities in Europe," Letters in Spatial and Resource Sciences, Springer, vol. 8(3), pages 307-334, November.
    4. Mohammed Iddrisu Kambala, 2023. "Colonial Origins of Comparative Development in Ghana," Journal of Development Studies, Taylor & Francis Journals, vol. 59(2), pages 188-208, February.
    5. Nicolene Hamman & Andrew Phiri, 2022. "Using Nighttime Luminosity as a Proxy for Economic Growth in Africa: Is It a Bright Idea?," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 20(2 (Summer), pages 139-165.
    6. Prakash, Nishith & Rockmore, Marc & Uppal, Yogesh, 2019. "Do criminally accused politicians affect economic outcomes? Evidence from India," Journal of Development Economics, Elsevier, vol. 141(C).
    7. Denis Cogneau & Yannick Dupraz, 2014. "Questionable Inference on the Power of Pre-Colonial Institutions in Africa," PSE Working Papers halshs-01018548, HAL.
    8. De Luca, Giacomo & Hodler, Roland & Raschky, Paul A. & Valsecchi, Michele, 2018. "Ethnic favoritism: An axiom of politics?," Journal of Development Economics, Elsevier, vol. 132(C), pages 115-129.
    9. Shaikh Shamim Hasan & Xiangzheng Deng & Zhihui Li & Dongdong Chen, 2017. "Projections of Future Land Use in Bangladesh under the Background of Baseline, Ecological Protection and Economic Development," Sustainability, MDPI, vol. 9(4), pages 1-21, March.
    10. 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.
    11. Shao, Shuai & Zhang, Xuebin & Yang, Lili, 2023. "Natural resource dependence and urban shrinkage: The role of human capital accumulation," Resources Policy, Elsevier, vol. 81(C).
    12. Yanli Gao & Hongbo Li & Yan Song, 2021. "Interaction Relationship between Urbanization and Land Use Multifunctionality: Evidence from Han River Basin, China," Land, MDPI, vol. 10(9), pages 1-21, September.
    13. Leonardo Bonilla-Mejía & Iván Higuera-Mendieta, 2017. "Political Alignment in the Time of Weak Parties: Electoral Advantages and Subnational Transfers in Colombia," Documentos de Trabajo Sobre Economía Regional y Urbana 15746, Banco de la República, Economía Regional.
    14. Brock, Gregory, 2015. "The informal economy of Rostov Oblast on the eve of the Ukrainian refugee crisis," Journal of Policy Modeling, Elsevier, vol. 37(5), pages 789-803.
    15. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    16. Yongxin Liu & Yiting Wang & Yiwen Lin & Xiaoqing Ma & Shifa Guo & Qianru Ouyang & Caige Sun, 2023. "Habitat Quality Assessment and Driving Factors Analysis of Guangdong Province, China," Sustainability, MDPI, vol. 15(15), pages 1-23, July.
    17. Bauer, Vincent & Platas, Melina R. & Weinstein, Jeremy M., 2022. "Legacies of Islamic Rule in Africa: Colonial Responses and Contemporary Development," World Development, Elsevier, vol. 152(C).
    18. Anna Bruederle & Roland Hodler, 2018. "Nighttime lights as a proxy for human development at the local level," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-22, September.
    19. Keyang Zhou & Yutian Liang & Chen Zhong & Jiaqi Zeng & Zhengke Zhou, 2022. "Spatial Features of Urban Expansion in Vietnam Based on Long-Term Nighttime Lights Data," Land, MDPI, vol. 11(5), pages 1-12, April.
    20. Hanwen Zhang & Yanqing Lang, 2022. "Quantifying and Analyzing the Responses of Habitat Quality to Land Use Change in Guangdong Province, China over the Past 40 Years," Land, MDPI, vol. 11(6), pages 1-23, May.

    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:3:p:675-:d:201312. 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.