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Spatio-Temporal Characteristics and Influencing Factors of Urban Spatial Quality in Northeast China Based on DMSP-OLS and NPP-VIIRS Nighttime Light Data

Author

Listed:
  • Hang Liu

    (College of Geography, Harbin Normal University, Harbin 150025, China)

  • Xiaohong Chen

    (College of Geography, Harbin Normal University, Harbin 150025, China)

  • Ying Wang

    (College of Geography, Harbin Normal University, Harbin 150025, China)

  • Xiaoqing Xu

    (College of Geography, Harbin Normal University, Harbin 150025, China)

  • Mingxuan Zhang

    (College of Geography, Harbin Normal University, Harbin 150025, China)

Abstract

The quality of urban spaces is a pivotal part of high-quality spatial development. It is directly connected to the comprehensive, coordinated and sustainable development of a region. In recent years, Northeast China has characterized urban space contraction and development. To study the quality of urban space in Northeast China, this paper fitted the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP-OLS) and the Suomi National Polar-orbiting Partnership Visible Infrared Imaging Radiometer Suite (NPP-VIIRS) nighttime light data with 11 indicators related to high-quality urban development for the period 1992–2018. The feasibility of nighttime light data reflecting urban spatial quality was verified by a linear equation, and the temporal characteristics of urban spatial quality in Northeast China were obtained. The Exploratory Spatial Data Analysis Geographically and Temporally Weighted Regression (ESDA-GTWR) explores the spatial relevance and possible influencing factors of this kind of development. The results suggest that the overall trend of spatial quality in the three northeastern provinces is “initial slow growth and significantly weakened after”. The fast developing cities include Panjin, Liaoyang, Shenyang, and Dalian in the Liaoning Province. On the other hand, cities such as Heihe and Yichun in the Heilongjiang Province have relatively slow development speeds. Furthermore, the spatial quality development in the three northeastern provinces exhibits a trend of continuous concentration. The cities with high spatial qualities are concentrated near the Liaoning Province, with low spatial qualities in the north and high spatial qualities in the southern parts of the three provinces. As there is a notable gap between the northern and the southern regions, the central region represents an area in partial transition. The spatial quality of each city in the three northeastern provinces is the result of a number of intertwined factors, with significant differences in the degree of their influence. The significant degree of influence factors on spatial quality from higher to lower is urbanization, quality of life, rural revitalization, government promotion, and infrastructure.

Suggested Citation

  • Hang Liu & Xiaohong Chen & Ying Wang & Xiaoqing Xu & Mingxuan Zhang, 2022. "Spatio-Temporal Characteristics and Influencing Factors of Urban Spatial Quality in Northeast China Based on DMSP-OLS and NPP-VIIRS Nighttime Light Data," Sustainability, MDPI, vol. 14(23), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15668-:d:983405
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    References listed on IDEAS

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    1. Xuefei Ma & Xiaohong Chen & Yue Du & Xuan Zhu & Yue Dai & Xin Li & Rui Zhang & Ying Wang, 2022. "Evaluation of Urban Spatial Resilience and Its Influencing Factors: Case Study of the Harbin–Changchun Urban Agglomeration in China," Sustainability, MDPI, vol. 14(5), pages 1-17, March.
    2. Jingtao Wang & Haibin Liu & Di Peng & Qian Lv & Yu Sun & Hui Huang & Hao Liu, 2021. "The County-Scale Economic Spatial Pattern and Influencing Factors of Seven Urban Agglomerations in the Yellow River Basin—A Study Based on the Integrated Nighttime Light Data," Sustainability, MDPI, vol. 13(8), pages 1-22, April.
    3. Adam Okulicz-Kozaryn & Rubia R. Valente, 2019. "Livability and Subjective Well-Being Across European Cities," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 14(1), pages 197-220, March.
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