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Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China

FENG Xinghua LEI Jing XIU Chunliang LI Jianxin BAI Limin ZHONG Yexi

FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. 中国地理科学, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7
引用本文: FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. 中国地理科学, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7
FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. Chinese Geographical Science, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7
Citation: FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. Chinese Geographical Science, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7

Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China

doi: 10.1007/s11769-020-1163-7
基金项目: 

Under the auspices of National Natural Science Foundation of China (No. 42001189, 41471141), Opening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education (No. PK2020006)

详细信息
    通讯作者:

    XIU Chunliang.E-mail:xiuchunliang@mail.neu.edu.cn

Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China

Funds: 

Under the auspices of National Natural Science Foundation of China (No. 42001189, 41471141), Opening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education (No. PK2020006)

  • 摘要: Based on urban physical space and theory of landscape ecology, a triune assessment framework —‘size-density- morphology’—was constructed in order to analyze the spatial pattern and the scale effect of urban resilience in Shenyang of China in 2015, and to explore the main impact factors of landscape under different spatial scale backgrounds. The results show that: 1) Urban resilience is an optimal combination of the resilience of size, density, and morphology. The urban resilience of Shenyang displays scale effect; the overall resilience level increases with the increase in scale, while the spatial difference and spatial similarity tend to decrease resilience. 2) As 2 km, 1 km and 2 km are scale inflection points of average value curves for size resilience, density resilience and morphology resilience, respectively in an urban setting; the optimal scale unit of comprehensive resilience is 1 km. Choosing 1 km–2 km as the basic spatial scale better depicts overall pattern and detailed characteristics of resilience in Shenyang. The spatial amplitudes of 0.5 km and 1 km are sensitive points for spatial autocorrelation of morphology and density resilience, size, and comprehensive resilience to scale effect. 3) The major landscape factors of urban size and morphology resilience transform with scale expansion. Aggregation index (AI) has a significant impact on urban resilience at different scales; its influence increases significantly with the increase in scale. 4) The high-level area of comprehensive resilience in Shenyang is the eastern ecological corridor area, while the low value area is the peripheral extension area of the city. To promote the overall level of resilience in Shenyang, this paper argues that the construction of ecological infrastructure should be strengthened in the peripheral extension area in a balanced manner. In the city center, population and building density should be controlled; the intensity of human activities should be reduced; impetus should be placed on landscape heterogeneity; and the homogeneous expansion of the area of construction should be prevented. In the eastern ecological corridors, the exploitation of ecosystem lands should be strictly controlled, and the integrity of the green landscape patches should be maintained.
  • [1] Ahern J, 2011. From fail-safe to safe-to-fail:sustainability and resilience in the new urban world. Landscape and urban Planning, 100(4):341-343. doi: 10.1016/j.landurbplan.2011.02.021
    [2] Ahern J, 2013. Urban landscape sustainability and resilience:the promise and challenges of integrating ecology with urban planning and design. Landscape Ecology, 28(6):1203-1212. doi: 10.1007/s10980-012-9799-z
    [3] Alberti M, Marzluff J M, Shulenberger E et al., 2003. Integrating humans into ecology:opportunities and challenges for studying urban ecosystems. BioScience, 53(12):1169-1179. doi: 10.1641/0006-3568(2003)053[1169:IHIEOA]2.0.CO;2
    [4] Allen C R, Angeler D G, Cumming G S et al., 2016. Quantifying spatial resilience. Journal of Applied Ecology, 53(3):625-635. doi: 10.1111/1365-2664.12634
    [5] Almeida M D C, Telhado M J, Morais M et al., 2020. Urban resilience to flooding:triangulation of methods for hazard identification in urban areas. Sustainability, 12(6):2227. doi: 10.3390/su12062227
    [6] Ascott K, Kenny M J, 2019. Addressing the complexities of resilience in urban design and planning. Town Planning Review, 90(5):473-479. doi: 10.3828/tpr.2019.30
    [7] Bai L M, Xiu C L, Feng X H et al., 2019. Influence of urbanization on regional habitat quality:a case study of Changchun City. Habitat International, 93:102042. doi: 10.1016/j.habitatint.2019.102042
    [8] Borsekova K, Nijkamp P, Guevara P, 2018. Urban resilience patterns after an external shock:an exploratory study. International Journal of Disaster Risk Reduction, 31, 381-392. doi: 10.1016/j.ijdrr.2018.05.012
    [9] Brown A, Dayal A, Rumbaitis Del Rio C, 2012. From practice to theory:emerging lessons from Asia for building urban climate change resilience. Environment and Urbanization, 24(2):531-556. doi: 10.1177/0956247812456490
    [10] Bush J, Doyon A, 2019. Building urban resilience with nature-based solutions:how can urban planning contribute? Cities, 95:102483. doi: 10.1016/j.cities.2019.102483
    [11] Campanella T J, 2006. Urban resilience and the recovery of New Orleans. Journal of the American Planning Association, 72(2):141-146. doi: 10.1080/01944360608976734
    [12] Caprotti F, Cowley R, Datta A et al., 2017. The New Urban Agenda:key opportunities and challenges for policy and practice. Urban Research & Practice, 10(3):367-378. doi: 10.1080/17535069.2016.1275618
    [13] Carvalho D, Martins H, Marta-Almeida M et al., 2017. Urban resilience to future urban heat waves under a climate change scenario:a case study for Porto urban area (Portugal). Urban Climate, 19:1-27. doi: 10.1016/j.uclim.2016.11.005
    [14] Chelleri L, Waters J J, Olazabal M et al., 2015. Resilience trade-offs:addressing multiple scales and temporal aspects of urban resilience. Environment and Urbanization, 27(1):181-198. doi: 10.1177/0956247814550780
    [15] Chen C K, Xu L L, Zhao D Y et al., 2020. A new model for describing the urban resilience considering adaptability, resistance and recovery. Safety Science, 128:104756. doi: 10.1016/j.ssci.2020.104756
    [16] Cimellaro G P, Renschler C, Reinhorn A M et al., 2016. PEOPLES:a framework for evaluating resilience. Journal of Structural Engineering, 142(10):04016063. doi: 10.1061/(ASCE)ST.1943-541X.0001514
    [17] Creutzig F, Agoston P, Minx J C et al., 2016. Urban infrastructure choices structure climate solutions. Nature Climate Change, 6(12):1054-1056. doi: 10.1038/nclimate3169
    [18] Desouza K C, Flanery T H, 2013. Designing, planning, and managing resilient cities:a conceptual framework. Cities, 35:89-99. doi: 10.1016/j.cities.2013.06.003
    [19] Dhar T K, Khirfan L, 2017. A multi-scale and multi-dimensional framework for enhancing the resilience of urban form to climate change. Urban Climate, 19:72-91. doi:10.1016/j.uclim. 2016.12.004
    [20] Fischer K, Häring I, Riedel W et al., 2016. Susceptibility, vulnerability, and averaged risk analysis for resilience enhancement of urban areas. International Journal of Protective Structures, 7(1):45-76. doi: 10.1177/2041419615622727
    [21] Gleeson B, 2008. Critical commentary. Waking from the dream:an Australian perspective on urban resilience. Urban Studies, 45(13):2653-2668. doi: 10.1177/0042098008098198
    [22] Gunderson L H, Holling C S, 2002. Panarchy:Understanding Transformations in Human and Natural Systems. Washington, DC:Island Press.
    [23] Holling C S, 1973. Resilience and Stability of Ecological Systems. Annual Review of Ecology, Evolution, and Systematics, 4(1), 1-23. doi: 10.1146/annurev.es.04.110173.000245
    [24] Huck A, Monstadt J, 2019. Urban and infrastructure resilience:diverging concepts and the need for cross-boundary learning. Environmental Science & Policy, 100:211-220. doi: 10.1016/j.envsci.2019.05.008
    [25] Jayawardena H M I D P, Van Roon M, 2017. Water sensitive planning and design as an ecologically inspired approach to delivering flood resilient urban environment in Sri Lanka. Water Practice and Technology, 12(4):964-977. doi: 10.2166/wpt.2017.100
    [26] Jiménez M, Pérez-Belmont P, Schewenius M et al., 2020. Assessing the historical adaptive cycles of an urban social-ecological system and its potential future resilience:the case of Xochimilco, Mexico City. Regional Environmental Change, 20(1):7. doi: 10.1007/s10113-020-01587-9
    [27] Johnson C, Blackburn S, 2014. Advocacy for urban resilience:UNISDR's making cities resilient campaign. Environment and Urbanization, 26(1):29-52. doi: 10.1177/0956247813518684
    [28] Klotz M, Kemper T, Geiß C et al., 2016. How good is the map? A multi-scale cross-comparison framework for global settlement layers:evidence from Central Europe. Remote Sensing of Environment, 178:191-212. doi: 10.1016/j.rse.2016.03.001
    [29] Lee S, Lee B, 2014. The influence of urban form on GHG emissions in the U.S. household sector. Energy Policy, 68:534-549. doi: 10.1016/j.enpol.2014.01.024
    [30] Leitner H, Sheppard E, Webber S et al., 2018. Globalizing urban resilience. Urban Geography, 39(8):1276-1284. doi: 10.1080/02723638.2018.1446870
    [31] Li H L, Peng J, Liu Y C et al., 2017. Urbanization impact on landscape patterns in Beijing City, China:a spatial heterogeneity perspective. Ecological Indicators, 82:50-60. doi: 10.1016/j.ecolind.2017.06.032
    [32] Liu Z M, Xiu C L, Song W, 2019. Landscape-based assessment of urban resilience and its evolution:a case study of the central city of Shenyang. Sustainability, 11(10):2964. doi: 10.3390/su11102964
    [33] Lohrey S, Creutzig F, 2016. A ‘sustainability window’ of urban form. Transportation Research Part D:Transport and Environment, 45:96-111. doi: 10.1016/j.trd.2015.09.004
    [34] Luo F H, Liu Y X, Peng J et al., 2018. Assessing urban landscape ecological risk through an adaptive cycle framework. Landscape and Urban Planning, 180:125-134. doi: 10.1016/j.landurbplan.2018.08.014
    [35] McEvoy D, Mitchell D, Trundle A, 2020. Land tenure and urban climate resilience in the South Pacific. Climate and Development, 12(1):1-11. doi: 10.1080/17565529.2019.1594666
    [36] Meerow S, Newell J P, Stults M, 2016. Defining urban resilience:a review. Landscape and Urban Planning, 147:38-49. doi: 10.1016/j.landurbplan.2015.11.011
    [37] Ng E, Yuan C, Chen L et al., 2011. Improving the wind environment in high-density cities by understanding urban morphology and surface roughness:a study in Hong Kong. Landscape and Urban Planning, 101(1):59-74. doi: 10.1016/j.landurbplan.2011.01.004
    [38] Olazabal M, Chelleri L, Sharifi A, 2018. Is connectivity a desirable property in urban resilience assessments? In:Yamagata Y, Sharifi A (eds). Resilience-Oriented Urban Planning:Theoretical and Empirical Insights. Cham:Springer, 195-211. doi: 10.1007/978-3-319-75798-8_11
    [39] Olds A D, Pitt K A, Maxwell P S et al., 2012. Synergistic effects of reserves and connectivity on ecological resilience. Journal of Applied Ecology, 49(6):1195-1203. doi: 10.1111/jpe.12002
    [40] Quinlan A E, Berbés-Blázquez M, Haider L J et al., 2016. Measuring and assessing resilience:broadening understanding through multiple disciplinary perspectives. Journal of Applied Ecology, 53(3):677-687. doi: 10.1111/1365-2664.12550
    [41] Rescia A J, Willaarts B A, Schmitz M F et al., 2010. Changes in land uses and management in two Nature Reserves in Spain:evaluating the social-ecological resilience of cultural landscapes. Landscape and Urban Planning, 98(1):26-35. doi: 10.1016/j.landurbplan.2010.07.007
    [42] Ribeiro P J G, Goncalves L A P J, 2019. Urban resilience:a conceptual framework. Sustainable Cities and Society, 50:101625. doi: 10.1016/j.scs.2019.101625
    [43] Rus K, Kilar V, Koren D, 2018. Resilience assessment of complex urban systems to natural disasters:a new literature review. International Journal of Disaster Risk Reduction, 31:311-330. doi: 10.1016/j.ijdrr.2018.05.015
    [44] Schlör H, Venghaus S, Hake J F, 2018. The FEW-Nexus city index-measuring urban resilience. Applied Energy, 210:382-392. doi: 10.1016/j.apenergy.2017.02.026
    [45] Sharifi A, 2019. Resilient urban forms:a macro-scale analysis. Cities, 85:1-14. doi: 10.1016/j.cities.2018.11.023
    [46] Shenyang Survey Team of the National Bureau of Statistics, 2016. Shenyang Statistical Yearbook. Beijing:China Statistics Press.
    [47] Silva M, Oliveira V, Leal V, 2017. Urban form and energy demand:a review of energy-relevant urban attributes. Journal of Planning Literature, 32(4):346-365. doi:10.1177/088541221 7706900
    [48] Spaans M, Waterhout B, 2017. Building up resilience in cities worldwide-Rotterdam as participant in the 100 Resilient Cities Programme. Cities, 61:109-116. doi: 10.1016/j.cities.2016.05.011
    [49] Vale L J, Campanella T J, 2005. The Resilient City:How Modern Cities Recover from Disaster. New York:Oxford University Press.
    [50] Walter G M, Catara S, Bridle J R et al., 2020. Population variation in early development can determine ecological resilience in response to environmental change. New Phytologist, 226(5):1312-1324. doi: 10.1111/nph.16453
    [51] Wamsler C, Brink E, Rivera C, 2013. Planning for climate change in urban areas:from theory to practice. Journal of Cleaner Production, 50:68-81. doi: 10.1016/j.jclepro.2012.12.008
    [52] Wardekker A, Wilk B, Brown V et al., 2020. A diagnostic tool for supporting policymaking on urban resilience. Cities, 101:102691. doi: 10.1016/j.cities.2020.102691
    [53] Witt E, Lill I, 2018. Methodologies of contemporary disaster resilience research. Procedia Engineering, 212:970-977. doi: 10.1016/j.proeng.2018.01.125
    [54] Wu C F, Lin Y P, Chiang L C et al., 2014. Assessing highway's impacts on landscape patterns and ecosystem services:a case study in Puli Township, Taiwan. Landscape and Urban Planning, 128:60-71. doi: 10.1016/j.landurbplan.2014.04.020
    [55] Xiu Chunliang, Zhu Xiangling, 2003. Countering the sudden calamity:human resident security and the policy of metropolis. Human Geography, 18(5):26-30. (in Chinese)
    [56] Xiu Chunliang, Wei Ye, Wang Qi, 2018. Evaluation of urban resilience of Dalian city based on the perspective of ‘Size-Density-Morphology’. Acta Geographica Sinica, 73(12):2315-2328. (in Chinese)
    [57] Yan S J, Wang X, Cai Y P et al., 2018. An integrated investigation of spatiotemporal habitat quality dynamics and driving forces in the upper basin of Miyun Reservoir, North China. Sustainability, 10(12):4625. doi: 10.3390/su10124625
    [58] Zaidi R Z, Pelling M, 2015. Institutionally configured risk:assessing urban resilience and disaster risk reduction to heat wave risk in London. Urban Studies, 52(7):1218-1233. doi: 10.1177/0042098013510957
    [59] Zimba J M, 2019. Book review:resilience and urban disasters:surviving cities. Urban Studies, 56(16):3556-3558. doi: 10.1177/0042098019876530
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Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China

doi: 10.1007/s11769-020-1163-7
    基金项目:

    Under the auspices of National Natural Science Foundation of China (No. 42001189, 41471141), Opening Fund of Key Laboratory of Poyang Lake Wetland and Watershed Research (Jiangxi Normal University), Ministry of Education (No. PK2020006)

    通讯作者: XIU Chunliang.E-mail:xiuchunliang@mail.neu.edu.cn

摘要: Based on urban physical space and theory of landscape ecology, a triune assessment framework —‘size-density- morphology’—was constructed in order to analyze the spatial pattern and the scale effect of urban resilience in Shenyang of China in 2015, and to explore the main impact factors of landscape under different spatial scale backgrounds. The results show that: 1) Urban resilience is an optimal combination of the resilience of size, density, and morphology. The urban resilience of Shenyang displays scale effect; the overall resilience level increases with the increase in scale, while the spatial difference and spatial similarity tend to decrease resilience. 2) As 2 km, 1 km and 2 km are scale inflection points of average value curves for size resilience, density resilience and morphology resilience, respectively in an urban setting; the optimal scale unit of comprehensive resilience is 1 km. Choosing 1 km–2 km as the basic spatial scale better depicts overall pattern and detailed characteristics of resilience in Shenyang. The spatial amplitudes of 0.5 km and 1 km are sensitive points for spatial autocorrelation of morphology and density resilience, size, and comprehensive resilience to scale effect. 3) The major landscape factors of urban size and morphology resilience transform with scale expansion. Aggregation index (AI) has a significant impact on urban resilience at different scales; its influence increases significantly with the increase in scale. 4) The high-level area of comprehensive resilience in Shenyang is the eastern ecological corridor area, while the low value area is the peripheral extension area of the city. To promote the overall level of resilience in Shenyang, this paper argues that the construction of ecological infrastructure should be strengthened in the peripheral extension area in a balanced manner. In the city center, population and building density should be controlled; the intensity of human activities should be reduced; impetus should be placed on landscape heterogeneity; and the homogeneous expansion of the area of construction should be prevented. In the eastern ecological corridors, the exploitation of ecosystem lands should be strictly controlled, and the integrity of the green landscape patches should be maintained.

English Abstract

FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. 中国地理科学, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7
引用本文: FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. 中国地理科学, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7
FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. Chinese Geographical Science, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7
Citation: FENG Xinghua, LEI Jing, XIU Chunliang, LI Jianxin, BAI Limin, ZHONG Yexi. Analysis of Spatial Scale Effect on Urban Resilience: A Case Study of Shenyang, China[J]. Chinese Geographical Science, 2020, 30(6): 1005-1021. doi: 10.1007/s11769-020-1163-7
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