[1] |
Alan M, Annegret H, Keiro H, 2017.The shrinking city in com-parative perspective:contrasting dynamics and responses to urban shrinkage.Cities, 69:102-108.doi:10.1016/j.cities.2016.09.008 |
[2] |
Ali A K, 2014.Explaining smart growth applications:lessons learned from the US capital region.Urban Studies, 51(1):116-135.doi:10.1177/0042098013484536 |
[3] |
Andrew G, 2013.Suburban sprawl or urban centers:tensions and contradictions of smart growth approaches in Denver, Colora-do.Urban Studies, 50(11):2178-2195.doi:10.1177/00420 98013478238 |
[4] |
Andrew M, Sugie L, 2017.Smart growth characteristics and the spatial pattern of multifamily housing in US metropolitan areas.Urban Studies, 54(15):3500-3523.doi:10.1177/0042098 016676008 |
[5] |
Boulos P F, Barnett T C, Dickinson R E, 2015.Smart network modeling for effective planning of sustainable urban areas.Journal American Water Works Association, 107(12):54-58.doi:10.5942/jawwa.2015.107.0173 |
[6] |
Cao B R, Fu K P, Tao J et al., 2015.GMM-based research on environmental pollution and population migration in Anhui Province, China.Ecological Indicators, 51:159-164.doi:10.1016/j.ecolind.2014.09.038 |
[7] |
Cristina M F, Tamara W, Sylvie F et al., 2016.Shrinking cities in Australia, Japan, Europe and the USA:from a global process to local policy responses.Progress in Planning, 105:1-48.doi:10.1016/j.progress.2014.10.001 |
[8] |
Davide P, 2016.Introduction:crisis and renewal of contemporary urban planning.European Planning Studies, 24(7):1237-1245.doi:10.1080/09654313.2016.1168782 |
[9] |
Elif K K, 2014.The spatial context of social integration.Social Indicators Research, 119(1):49-71.doi:10.1007/s11205-013-0481-x |
[10] |
Elzerman K, Bontje M, 2015.Urban shrinkage in Parkstad Lim-burg.European Planning Studies, 23(1):87-103.doi:10.1080/09654313.2013.820095 |
[11] |
Fang Chuanglin, 2014.A review of Chinese urban development policy, emerging patterns and future adjustments.Geographical Research, 33(4):674-686. (in Chinese) |
[12] |
Fitch P, Lovell M, Davies S J et al., 2015.An integrated and quantitative approach to petro physical heterogeneity.Marine and Petroleum Geology, 63:82-96.doi:10.1016/j.marpetgeo.2015.02.014 |
[13] |
Fouad K, 2012.An initial seed selection algorithm for k-means clustering of georeferenced data to improve replicability of cluster assignments for mapping application.Applied Soft Computing Journal, 11:3698-3700.doi:10.1016/j.asoc.2012.07.021 |
[14] |
Gu Chaolin, Hu Lingqian, Ian G.COOK, 2017.China's urbani-zation in 1949-2015:processes and driving forces.Chinese Geographical Science, 27(6):847-859.doi:10.1007/s11769-017-0911-9 |
[15] |
Haase A, Rink D, Grossmann K et al., 2014.Conceptualizing urban shrinkage.Environment and Planning A, 46(7):1519-1534.doi:10.1068/a46269 |
[16] |
Hospers G J, 2014.Policy responses to urban shrinkage:from growth thinking to civic engagement.European Planning Studies, 22(7):1507-1523.doi:10.1080/09654313.2013.793655 |
[17] |
Huang Yue, Fang Yangang, Gu Guofeng et al., 2018.The evolu-tion and differentiation of economic convergence of resource-based cities in Northeast China.Chinese Geographical Science, 28(3):495-504.doi:https://doi.org/10.1007/s11769-018-0962-6 |
[18] |
Jurgita B, Jolita S, 2015.The economic competitiveness of Lith-uanian-polish border region's cities:the specific of urban shrinkage.Equilibrium.Quarterly Journal of Economics and Economic Policy, 10(4):133-149.doi:http://dx.doi.org/10.12775/EQUIL.2015.039 |
[19] |
Kamila B, Karima K, Peter N, 2017.Smart development, spatial sustainability and environmental quality.Habitat International, 68:1-2.doi:10.1016/j.habitatint.2017.08.001 |
[20] |
Kaveh D, Kamruzzaman M, 2017.Modeling the urban heat island effect of smart growth policy scenarios in Brisbane.Land Use Policy, 64:38-55.doi:10.1016/j.landusepol.2017.02.027 |
[21] |
Khodeir L M, Elsisy A, Nagy M, 2016.Pre-assessment of met-ropolitan areas' smart growth through agent based modeling.Procedia Environmental Sciences, 34:245-257.doi:10.1016/j.proenv.2016.04.023 |
[22] |
Kiranmayi R, 2015.Assessing smart growth strategies in Indian cities:grounded theory approach to planning practice.Journal of Urban Planning and Development, 141(4):05014031.doi:10.1061/(ASCE)UP.1943-5444.0000267 |
[23] |
Kong L Q, Tian G J, Ma B R et al., 2017.Embedding ecological sensitivity analysis and new satellite town construction in an agent-based model to simulate urban expansion in the Beijing metropolitan region, China.Ecological Indicators, 82:233-249.doi:10.1016/j.ecolind.2017.07.009 |
[24] |
Li G D, Fang C L, Pang B, 2014.Quantitative measuring and influencing mechanism of urban and rural land intensive use in China.Journal of Geographical Sciences, 24(5):858-874.doi:10.1007/s11442-014-1125-z |
[25] |
Li J H, Qiu R X, Xiong L et al., 2016.A gravity-spatial entropy model for the measurement of urban sprawl.Science China Earth Sciences, 59:207-213.doi:10.1007/s11430-015-5192-5 |
[26] |
Li T, Li Y F, Yan Y Q et al., 2017.Measuring urban sprawl and exploring the role planning plays:a shanghai case study.Land Use Policy, 67:426-435.doi:10.1016/j.landusepol.2017.06.002 |
[27] |
Lin Xiongbin, Yang Jiawen, Zhang Xianchun et al., 2017.Meas-uring shrinking cities and influential factors in urban China:perspective of population and economy.Human Geography, (1):82-89. (in Chinese) |
[28] |
Liu H L, Shi P J, Tong H L et al., 2015.Characteristics and driving forces of spatial expansion of oasis cities and towns in Hexi Corridor, Gansu Province, China.Chinese Geographical Sci-ence, 25(2):250-262.doi:https://doi.org/10.1007/s11769-014-0687-0 |
[29] |
Liu Helin, 2016.Research on quantitative calculation method of shrinking city.Modern Urban Research, (2):17-22.doi:10.3969/j.iss n.1009-6000.2016.02.004. (in Chinese) |
[30] |
Liu X B, Chen J, Maher B A et al., 2018.Connection of the pro-to-Yangtze River to the East China Sea traced by sediment magnetic properties.Geomorphology, 303:162-171.doi:10.1016/j.geomorph.2017.11.023 |
[31] |
Liu Y H, Xu Y, Guo T Y et al., 2013.Visual simulation of re-gional development differentiation in Beijing-Tianjin-Hebei Metropolitan Region.Journal of Geographical Sciences, 23(3):549-566.doi:10.1007/s11442-013-1028-4 |
[32] |
Liu Y S, Zhou Y, Wu W X, 2015.Assessing the impact of popu-lation, income and technology on energy consumption and in-dustrial pollutant emissions in China.Applied Energy, 155:904-917.doi:10.1016/j.apenergy.2015.06.051 |
[33] |
Liu Yanjun, Zhou Gguolei, Liu Degang et al., 2018.The interac-tion of population, industry and land in process of urbanization in China:a case study in Jilin Province.Chinese Geographical Science, 28(3):529-542.doi:https://doi.org/10.1007/s11769-018-0964-4 |
[34] |
Long L J, Wang X, 2016.Sustainable urban development evalua-tion of Shanghai:an ecological wellbeing performance per-spective.Journal of Landscape Research, 8(4):35-38.doi:10.16785/j.issn1943-989x.2016.4.009 |
[35] |
Lucia N, Pia N, Hans W et al., 2015.What is smart rural devel-opment? Journal of Rural Studies, 40:90-101.doi:10.1016/j.jrurstud.2015.06.006 |
[36] |
Matthias B, Annegret H, Katrin G et al., 2014.How does(n't) urban shrinkage get onto the Agenda? experiences from Leip-zig, Liverpool, Genoa and Bytom.International Journal of Urban and Regional Research, 38(5):1749-1766.doi:10.1111/1468-2427.12101 |
[37] |
MOHURD (Ministry of housing and urban-rural development of the People's Republic of China), 1999-2015.China Urban Construction Statistical Yearbook.Beijing:China Statistics Press. (in Chinese) |
[38] |
MOHURD (Ministry of housing and urban-rural development of the People's Republic of China), 2012.Code for classification of urban land use and planning standards of development land (GB50137-2001).Beijing:China Architecture & Building Press. (in Chinese) |
[39] |
NBSC (National Bureau of Statistics of China), 2000-2014.China Statistical Yearbook for Regional Economy.Beijing:China Statistics Press. (in Chinese) |
[40] |
NBSC (National Bureau of Statistics of China), 2000-2016.China City Statistical Yearbook.Beijing:China Statistics Press. (in Chinese) |
[41] |
Raj I S, Bird S R, Westfold B A et al., 2017.Determining criteria to predict repeatability of performance in older adults:using coefficients of variation for strength and functional measures.Journal of Aging and Physical Activity, 25(1):94-98.doi:10.1123/ja pa.2015-0221 |
[42] |
Ramaswami A, Russell A G, Culligan P J et al., 2016.Meta-principles for developing smart, sustainable, and healthy cities.Science, 352(6288):940-943.doi:10.1126/science.aaf7160 |
[43] |
Sheng K R, Sun W, Fan J, 2014.Sequential city growth:theory and evidence from the US, Journal of Geographical Sciences, 24(6):1161-1174.doi:10.1007/s11442-014-1145-8 |
[44] |
Sykes K E, Robinson K N, 2014.Making the right moves:pro-moting smart growth and active aging in communities.Journal of Aging and Social Policy, 26(1-2):166-180.doi:10.1080/08959420.2014.854648 |
[45] |
Tong L Y, Hu S G, Frazier A E et al., 2017.Multi-order urban development model and sprawl patterns:an analysis in China, 2000-2010.Landscape and Urban Planning.167:386-398.doi:10.1016/j.landurbplan.2017.07.001 |
[46] |
Wang K Y, Qi W, 2017.Space-time relationship between urban municipal district adjustment and built-up area expansion in China.Chinese Geographical Science, 27(2):165-175.doi:10.1007/s11769-017-0856-z |
[47] |
Wang Z B, Fang C L, Zhang X R, 2015.Spatial expansion and potential of construction land use in the Yangtze River Delta.Journal of Geographical Sciences, 25(7):851-864.doi:10.1007/s114422-015-1206-7. |
[48] |
Wu Kang, Sun Dongqi, 2017.Progress in urban shrinkage re-search.Economic Geography, 37(11):59-67. (in Chinese) |
[49] |
Wu W J, Wang J H, 2017.Gentrification effects of China's urban village renewals.Urban Studies, 54(1):214-229.doi:10.117 7/0042098016631905 |
[50] |
Yan Y C, Liu X P, Wang F Y et al., 2018.Assessing the impacts of urban sprawl on net primary productivity using fusion of Landsat and MODIS data.Science of the Total Environment, 613-614:1417-1429.doi:10.1016/j.scitotenv.2017.09.139 |
[51] |
Yang Dongfeng, Long Ying, Yang Wenshi et al., 2015.Losing population with expanding space:paradox of urban shrinkage in China.Modern Urban Research, (9):20-25. (in Chinese) |
[52] |
Yang Yuanyuan, Liu Yansui, Xu Di et al., 2017.Use of intensity analysis to measure land use changes from 1932 to 2005 in Zhenlai County, Northeast China.Chinese Geographical Sci-ence, 27(3):441-455.doi:10.1007/s11769-017-0876-8 |
[53] |
Yang Z S, Dunford M, 2017.City shrinkage in China:scalar pro-cesses of urban and hukou population losses.Regional Studies, 51:1-12.doi:10.1080/00343404.2017.1335865 |
[54] |
Zhang Beibei, Li Zhigang, 2017.Shrinking cities:international progresses and implications for China.City Planning Review, 41(10):103-108. (in Chinese) |
[55] |
Zhang Jingxiang, Feng Canfang, Chen Hao, 2017.International research and China's exploration of urban shrinking.Urban Planning International, 32(5):1-9. (in Chinese) |
[56] |
Zhou Kai, Qian Fangfang, Yan Yan, 2017.A multi-scaled analysis of the ‘shrinking map’ of the population in Hunan Province.Geographical Research, (2):267-280. (in Chinese) |
[57] |
Zhou Yan, Huang Xianjin, Xu Guoliang et al., 2016.The coupling and driving forces between urban land expansion and popula-tion growth in Yangtze River Delta.Geographical Research, 35(2):313-324. (in Chinese) |