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Articles

Relationship between the degree and spatial pattern of urban shrinkage based on nighttime light data: a case study of the old industrial area in Northeast China

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Pages 157-181 | Received 03 Mar 2022, Accepted 25 Jun 2023, Published online: 12 Jul 2023

References

  • Alexander, C. (1965). The city is not a tree. Arch Forum, 122(1), 58–62.
  • Alves, D., Barreira, A. P., Guimarães, M. H., & Panagopoulos, T. (2016). Historical trajectories of currently shrinking Portuguese cities: A typology of urban shrinkage. Cities, 52, 20–29.
  • Bartholomae, F., Nam, C. W., & Schoenberg, A. (2017). Urban shrinkage and resurgence in Germany. Urban Studies, 54(12), 2701–2718.
  • Black, R., Adger, W., Arnell, N., & Panagopoulos, T. (2011). The effect of environmental change on human migration. Global Environmental Change, 21(supp-S1), S3–S11.
  • Blanco, H., Alberti, M., Olshansky, R., Chang, S., Wheeler, S. M., Randolph, J., … Watson, V. (2009). Shaken, shrinking, hot, impoverished and informal: Emerging research agendas in planning. Progress in Planning, 72(4), 195–250.
  • Bontje, M. (2004). Facing the challenge of shrinking cities in East Germany: The case of Leipzig. Geojournal, 61(1), 13–21.
  • Borruso, G. (2003). Network density and the delimitation of urban areas. Transactions in GIS, 7(2), 177–191.
  • Burkholder, S. (2012). The new ecology of vacancy: Rethinking land use in shrinking cities. Sustainability, 4(6), 1154–1172.
  • Chen, Y., & Chen, M. C. (2011). Using chi-square statistics to measure similarities for text categorization. Expert Systems with Applications, 38(4), 3085–3090.
  • Deng, C., Liang, P., & Liu, C. (2020). Analysis of the changing characteristics and influencing factors of the shrinking city space-time in the middle-stream city group of the Yangtze river. Journal of Urban Studies, 41(02), 80–88. (in Chinese).
  • Dong, B., Ye, Y., You, S., Zheng, Q., Huang, L., Zhu, C., … Wang, K. (2021). Identifying and Classifying Shrinking Cities Using Long-Term Continuous Night-Time Light Time Series. Remote Sensing, 13(16), 3142.
  • Du, Z., & Li, X. (2017). Growth or shrinkage: New phenomena of regional development in the rapidly- urbanizing Pearl River Delta. Acta Geographhica Signa, 72(10), 1800–1811. (in Chinese).
  • Elvidge, C., Ziskin, D., Baugh, K., Tuttle, B., Ghosh, T., Pack, D., … Zhizhin, M. (2009). A Fifteen Year Record of Global Natural Gas Flaring Derived from Satellite Data. Energies, 2(3), 595–622.
  • Gao, S., & Long, Y. (2017). Distinguishing and planning shrinking cities in Northeast China. Planners, 33(1), 26–32. (in Chinese).
  • Gong, P., Liu, H., Zhang, M., Li, C., Wang, J., Huang, H., … Song, L. (2019). Stable classification with limited sample: transferring a 30-m resolution sample set collected in 2015 to mapping 10-m resolution global land cover in 2017. Science Bulletin, 64(6), 370–373.
  • Haase, A., Bernt, M., Großmann, K., Mykhnenko, V., & Rink, D. (2016). Varieties of shrinkage in European cities. European Urban and Regional Studies, 23(1), 86–102.
  • Haase, A., Bontje, M., Couch, C., Marcinczak, S., Rink, D., Rumpel, P., … Wolff, M. (2021). Factors driving the regrowth of European cities and the role of local and contextual impacts: A contrasting analysis of regrowing and shrinking cities. Cities, 108, 102942.
  • Hartt, M. (2019). The prevalence of prosperous shrinking cities. Annals of the American Association of Geographers, 109(5), 1651–1670.
  • Hartt, M., & Hackworth, J. (2018). Shrinking cities, shrinking households, or both? International Journal of Urban and Regional Research, 44(6), 1083–1095.
  • Hattori, K., Kaido, K., & Matsuyuki, M. (2017). The development of urban shrinkage discourse and policy response in Japan. Cities, 69, 124–132.
  • He, S. Y., Lee, J., Zhou, T., & Wu, D. (2017). Shrinking cities and resource-based economy: The economic restructuring in China's mining cities. Cities, 60, 75–83.
  • Henderson, V., Storeygard, A., & Weil, D. N. (2011). A bright idea for measuring economic growth. American Economic Review, 101(3), 194–199.
  • Huermann, H., & Siebel, W. (1988). Die Schrumpfende Stadt und die Stadtsoziologie. Wiesbaden: VS Verlag für Sozialwissenschaften.
  • Jaroszewska, E. (2019). Urban shrinkage and regeneration of an old industrial city: The case of Wałbrzych in Poland. Quaestiones Geographicae, 38(2), 75–90.
  • Jiang, B. (2015). Head/tail breaks for visualization of city structure and dynamics. Cities, 43, 69–77.
  • Jiang, B. (2019). Natural cities generated from all building locations in America. Data, 4(2), 59.
  • Jiang, B., & Jia, T. (2011). Zipf s law for all the natural cities in the United States a geospatial perspective. International Journal of Geographical Information Science, 25(8), 1269–1281.
  • Jiang, B., & Liu, X. (2012). Scaling of geographic space from the perspective of city and field blocks and using volunteered geographic information. International Journal of Geographical Information Science, 26(2), 215–229.
  • Jiang, B., & Miao, Y. (2015). The evolution of natural cities from the perspective of location based social media. The Professional Geographer, 67(2), 295–306.
  • Jiang, B., & Yin, J. (2014). Ht-index for quantifying the fractal or scaling structure of geographic features. Annals of the Association of American Geographers, 104(3), 530–540.
  • Jiang, Z., Zhai, W., Meng, X., & Long, Y. (2020). Identifying shrinking cities with NPP-VIIRS nightlight data in China. Journal of Urban Planning and Development, 146(4), 04020034.
  • Khavarian-Garmsir, A., Pourahmad, A., Hataminejad, H., & Farhoodi, R. (2019). Climate change and environmental degradation and the drivers of migration in the context of shrinking cities: A case study of Khuzestan province. Iran. Sustainable Cities and Society, 47, 101480.
  • Lang, W., Deng, J., & Li, X. (2020). Identification of “growth” and “shrinkage” pattern and planning strategies for shrinking cities based on a spatial perspective of the Pearl River Delta Region. Journal of Urban Planning and Development, 146(4), 05020020.
  • Lee, J. S., Won, S., & Kim, S. (2015). Describing changes in the built environment of shrinking cities: Case study of Incheon. South Korea. Journal of Urban Planning and Development, 142(2), 5015010.
  • Levin, N., Kyba, C. C. M, Zhang, Q., Sánchez de Miguel, A., Román, M. O., Li, X., … Elvidge, C. D. (2020). Remote sensing of night lights: A review and an outlook for the future. Remote Sensing of Environment, 237, 111443.
  • Li, C., Gong, P., Wang, J., Zhu, Z., Biging, G. S., Yuan, C., … Clinton, N. (2017). The first all-season sample set for mapping global land cover with Landsat-8 data. Science Bulletin, 62(7), 508–515.
  • Li, L., Zhang, P., Tan, J., & Guan, H. (2019). A regional economic resilience approach to the economic revitalization process in Liaoning old industrial base. China. Scientia Geographica Sinica, 39(01), 116–124. (in Chinese).
  • Li, X., Xu, H., Chen, X., & Li, C. (2013). Potential of NPP-VIIRS nighttime light imagery for modeling the regional economy of China. Remote Sensing, 5(6), 3057–3081.
  • Liu, F., Zhu, X., Chen, J., Sun, J., & Lin, X. (2018). The research on the quantitative identification and cause analysis of urban shrinkage from different dimensions and scales: A case study of Northeast China during transformation period. Modern Urban Research, 07, 37–46. (in Chinese).
  • Long, Y., & Wu, K. (2016). Shrinking cities in a rapidly urbanizing China. Environment and Planning A: Economy and Space, 48(2), 220–222.
  • Long, Y., Wu, K., & Wang, J. (2015). Shrinking cities in China. Modern Urban Research, 9, 14–19.
  • Long, Y., Zhai, W., Shen, Y., & Ye, X. (2018). Understanding uneven urban expansion with natural cities using open data. Landscape and Urban Planning, 177, 281–293.
  • Lotscher, L. (2005). Shrinking east German cities? Geographia Polonica, 78(1), 79.
  • Ma, S., & Long, Y. (2019). Identifying spatial cities in China at the community scale. Journal of Urban and Regional Planning, 11(1), 37–50. (in Chinese).
  • Ma, T., Zhou, Y., Wang, Y., Zhou, C., Haynie, S., & Xu, T. (2014). Diverse relationships between Suomi-NPP VIIRS night-time light and multi-scale socioeconomic activity. Remote Sensing Letters, 5(7), 652–661.
  • Mallach, A. (2017). What we talk about when we talk about shrinking cities: The ambiguity of discourse and policy response in the United States. Cities, 69, 109–115.
  • Martinez-Fernandez, C., Audirac, I., Fol, S., & Cunningham-Sabot, E. (2012). Shrinking cities: Urban challenges of globalization. International Journal of Urban & Regional Research, 36(2), 213–225.
  • Nelle, A., Großmann, K., Haase, D., Kabisch, S, Rink, D, & Wolff, M. (2017). Urban shrinkage in Germany: An entangled web of conditions, debates and policies. Cities, 69, 116–123.
  • Niu, W., Xia, H., Wang, R., Pan, L., Meng, Q., Qin, Y., … Zhao, W. (2021). Research on Large-Scale Urban Shrinkage and Expansion in the Yellow River Affected Area Using Night Light Data. ISPRS International Journal of Geo-Information, 10(1), 5.
  • Oswalt, P., Beyer, E., & Hagemann, A. (2006). Atlas of shrinking cities. Berlin: Hatje Cantz Publishers.
  • Popper, D. E., & Popper, F. J. (2002). Small can be beautiful: Coming to terms with decline. Planning, 68(7), 20–23.
  • Rieniets, T. (2009). Shrinking cities: Causes and effects of urban population losses in the twentieth century. Nature and Culture, 4(3), 231–254.
  • Schetke, S., & Haase, D. (2008). Multi-criteria assessment of socio-environmental aspects in shrinking cities. Experiences from eastern Germany. Environmental Impact Assessment Review, 28(7), 483–503.
  • Schilling, J., & Logan, J. (2008). Greening the rust belt: A green infrastructure model for right sizing America's shrinking cities. Journsal of the American Planning Association, 74(4), 451–466.
  • Shi, K., Yu, B., Huang, Y., Hu, Y., Yin, B., Chen, Z., … Wu, Ji. (2014). Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data. Remote Sensing, 6(2), 1705–1724.
  • Sun, Q., Zhang, X., & Lu, G. (2019). Size, speed and trajectory of Chinese cities’ shrinking. Urban Problems, 08, 24–39. (in Chinese).
  • Sutton, P. C. (2003). A scale-adjusted measure of urban sprawl using nighttime satellite imagery. Remote Sensing of Environment, 86(3), 353–369.
  • Thurstain-Goodwin, M., & Unwin, D. (2000). Defining and delineating the central areas of towns for statistical monitoring using continuous surface representations. Transactions in GIS, 4(4), 305–317.
  • Wang, Z., Cao, C., Chen, J., & Wang, H. (2020). Does land finance contraction accelerate urban shrinkage? A study based on 84 key cities in China. Journal of Urban Planning and Development, 146(4), 04020038.
  • Wiechmann, T. (2008). Errors expected - aligning urban strategy with demographic uncertainty in shrinking cities. International Planning Studies, 13(4), 431–446.
  • Williams, S., Xu, W., Tan, S. B., Foster, M. J., & Chen, C. (2019). Ghost cities of China: Identifying urban vacancy through social media data. Cities, 94, 275–285.
  • Yang, D., Long, Y., Yang, W., & Sun, H. (2015). Losing population with expanding space: Paradox of urban shrinkage in China. Modern Urban Research, 9, 20–25. (in Chinese).
  • Yang, Y., Wu, J., Wang, Y., Huang, Q., & He, C. (2021a). Quantifying spatiotemporal patterns of shrinking cities in urbanizing China: A novel approach based on time-series nighttime light data. Cities, 118, 103346.
  • Yang, Z., Chen, Y., & Wu, Z. (2021b). How urban expansion affects the thermal environment? A study of the impact of natural cities on the thermal field value and footprint of thermal environment. Ecological Indicators, 126, 107632.
  • Zhai, W., Jiang, Z., Meng, X., Zhang, X., Zhao, M., & Long,Y. (2022). Satellite monitoring of shrinking cities on the globe and containment solutions. Iscience, 25(6), 104411.
  • Zhao, J., Li, C., Ma, Z., & Hu, S. (2017a). Urban shrinking smart and transformation of China's old industrial bases. Urban Development Studies, 24(01), 135–138. 152 (in Chinese).
  • Zhao, M., Cheng, W., Zhou, C., Li, M., Wang, N., & Liu, Q. (2017b). GDP spatialization and economic differences in South China based on NPP-VIIRS nighttime light imagery. Remote Sensing, 9(7), 673.
  • Zhou, Y., Li, C., Ma, Z., Hu, S., Zhang, J., & Liu, W. (2019). Identification of shrinkage and growth patterns of a shrinking city in China based on nighttime light data: A case study of Yichun. Sustainability, 11(24), 6906.
  • Zhou, Y., Li, C., Zheng, W., Rong, X., & Liu, W. (2021). Identification of urban shrinkage using NPP-VIIRS nighttime light data at the county level in China. Cities, 118, 103373.
  • Zhou, Y., & Shi, Y. (1995). Toward establishing the concept of physical urban area in China. Acta Geographhica Signa, 50(4), 289–301.

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