[1] |
Anderson J E, van Wincoop E, 2003. Gravity with gravitas:a solution to the border puzzle. American Economic Review, 93(1):170-192. doi:10.1257/000282803321455214 |
[2] |
Batten D F, 1995. Network cities:creative urban agglomerations for the 21st century. Urban Studies, 32(2):313-327. doi:10.1080/00420989550013103 |
[3] |
Batty M, 2013. A theory of city size. Science, 340(6139):1418-1419. doi:10.1126/science.1239870 |
[4] |
Berry B J L, 1964. Cities as systems within systems of cities. Papers in Regional Science, 13(1):147-163. doi:10.1111/j. 1435-5597.1964.tb01283.x |
[5] |
Blondel V D, Guillaume J L, Lambiotte R et al., 2008. Fast un-folding of communities in large networks. Journal of Statistical Mechanics:Theory and Experiment, 10:10008. doi:10.1088/1742-5468/2008/10/p10008 |
[6] |
Burger M J, Meijers E J, van Oort F G, 2014. Editorial:the de-velopment and functioning of regional urban systems. Regional Studies, 48(12):1921-1925. doi:10.1080/00343404. 2014.979782 |
[7] |
Camagni R P, Salone C, 1993. Network urban structures in north-ern Italy:elements for a theoretical framework. Urban Studies, 30(6):1053-1064. doi:10.1080/00420989320080941 |
[8] |
Cao Z, Derudder B, Peng Z W, 2018. Comparing the physical, functional and knowledge integration of the Yangtze River Delta city-region through the lens of inter-city networks. Cities, 82:119-126. doi:10.1016/j.cities.2018.05.010 |
[9] |
Capello R, Caragliu A, Fratesi U, 2018. Breaking down the border:physical, institutional and cultural obstacles. Economic Geography, 94(5):485-513. doi:10.1080/00130095.2018. 1444988 |
[10] |
Castells M, 1989. The Informational City:Information Technolo-gy, Economic Restructuring and the Urban-Regional Process. Oxford, UK:Basil Blackwell Oxford. |
[11] |
Christaller W, 1966. Central Places in Southern Germany. Eng-lewood Cliffs, NJ:Prentic Hall. |
[12] |
Dadashpoor H, Afaghpoor A, Allan A, 2017. A methodology to assess the spatial configuration of urban systems in Iran from an interaction perspective. GeoJournal, 82(1):109-129. doi:10.1007/s10708-015-9671-1 |
[13] |
Dennis C, Marsland D, Cockett T, 2002. Central place practice:shopping centre attractiveness measures, hinterland boundaries and the UK retail hierarchy. Journal of Retailing and Consumer Services, 9(4):185-199. doi:10.1016/S0969-6989 (01)00021-2 |
[14] |
Department of Urban Socio Economic Investigation, National Bureau of Statistics, 2017. China City Statistical Yearbook. Beijing:China Statistics Press. (in Chinese) |
[15] |
Fang C L, Yu D L, 2017. Urban agglomeration:an evolving con-cept of an emerging phenomenon. Landscape and Urban Planning, 162:126-136. doi:10.1016/j.landurbplan.2017.02. 014 |
[16] |
Han J, Liu J B, 2018. Urban spatial interaction analysis using inter-city transport big data:a case study of the yangtze river delta urban agglomeration of China. Sustainability, 10(12):4459. doi:10.3390/su10124459 |
[17] |
He J H, Li C, Yu Y et al., 2017. Measuring urban spatial interac-tion in Wuhan Urban Agglomeration, Central China:a spatially explicit approach. Sustainable Cities and Society, 32:569-583. doi:10.1016/j.scs.2017.04.014 |
[18] |
Hesse M, 2010. Cities, material flows and the geography of spatial interaction:urban places in the system of chains. Global Networks, 10(1):75-91. doi:10.1111/j.1471-0374.2010. 00275.x |
[19] |
Hesse M, 2016. On borrowed size, flawed urbanisation and emerging enclave spaces:the exceptional urbanism of Lux-embourg, Luxembourg. European Urban and Regional Studies, 23(4):612-627. doi:10.1177/0969776414528723 |
[20] |
Hou H P, Liu Y L, Liu Y F et al., 2015. Using inter-town network analysis in city system planning:a case study of Hubei Province in China. Habitat International, 49:454-465. doi:10.1016/j.habitatint.2015.06.016 |
[21] |
Hubei Provincial Bureau of Statistics, 2017. Hubei Statistical Yearbook. Beijing:China Statistics Press. (in Chinese) |
[22] |
Huff D L, Jenks G F, 1968. A graphic interpretation of the friction of distance in gravity models. Annals of the Association of American Geographers, 58(4):814-824. doi:10.1111/j. 1467-8306.1968.tb01670.x |
[23] |
Hui E C M, Li X, Chen T T et al., 2018. Deciphering the spatial structure of China's megacity region:a new bay area-The Guangdong-Hong Kong-Macao Greater Bay Area in the mak-ing. Cities. doi:10.1016/j.cities.2018.10.011 |
[24] |
Hunan Provincial Bureau of Statistics, 2017. Hunan Statistical Yearbook. Beijing:China Statistics Press. (in Chinese) |
[25] |
Jiang Y H, Shen J F, 2010. Measuring the urban competitiveness of Chinese cities in 2000. Cities, 27(5):307-314. doi:10.1016/j.cities.2010.02.004 |
[26] |
Jiangxi Provincial Bureau of Statistics, 2017. Jiangxi Statistical Yearbook. Beijing:China Statistics Press. (in Chinese) |
[27] |
Kang C, Liu Y, Guo D et al., 2015. A generalized radiation model for human mobility:spatial scale, searching direction and trip constraint. PLoS One, 10(11):e0143500. doi:10.1371/journal. pone.0143500 |
[28] |
Lao X, Zhang X L, Shen T Y et al., 2016. Comparing China's city transportation and economic networks. Cities, 53:43-50. doi:10.1016/j.cities.2016.01.006 |
[29] |
Lenormand M, Bassolas A, Ramasco J J, 2016. Systematic com-parison of trip distribution laws and models. Journal of Transport Geography, 51:158-169. doi:10.1016/j.jtrangeo. 2015.12.008 |
[30] |
Li F Z, Feng Z M, Li P et al., 2017. Measuring directional urban spatial interaction in China:a migration perspective. PLoS One, 12(1):e0171107. doi:10.1371/journal.pone.0171107 |
[31] |
Liu X J, Derudder B, Wu K, 2016. Measuring polycentric urban development in China:an intercity transportation network perspective. Regional Studies, 50(8):1302-1315. doi:10.1080/00343404.2015.1004535 |
[32] |
Malý J, 2016. Impact of polycentric urban systems on in-tra-regional disparities:a micro-regional approach. European Planning Studies, 24(1):116-138. doi:10.1080/09654313. 2015.1054792 |
[33] |
Masucci A P, Serras J, Johansson A et al., 2013. Gravity versus radiation models:on the importance of scale and heterogeneity in commuting flows. Physical Review E:Statistical, Nonlinear, and Soft Matter Physics, 88(2):022812. doi:10.1103/PhysRevE.88.022812 |
[34] |
McArthur D P, Kleppe G, Thorsen I et al., 2011. The spatial transferability of parameters in a gravity model of commuting flows. Journal of Transport Geography, 19(4):596-605. doi:10.1016/j.jtrangeo.2010.06.014 |
[35] |
Meijers E, 2005. Polycentric urban regions and the quest for syn-ergy:is a network of cities more than the sum of the parts? Urban Studies, 42(4):765-781. doi:10.1080/004209805000 60384 |
[36] |
Meijers E, 2007. From central place to network model:theory and evidence of a paradigm change. Tijdschrift Voor Economische en Sociale Geografie, 98(2):245-259. doi:10.1111/j.1467-9663.2007.00394.x |
[37] |
Meijers E, Hoogerbrugge M, Cardoso R, 2018. Beyond polycen-tricity:does stronger integration between cities in polycentric urban regions improve performance? Tijdschrift Voor Econo-mische En Sociale Geografie, 109(1):1-21. doi:10.1111/tesg.12292 |
[38] |
Meijers E J, Burger M J, Hoogerbrugge M M, 2016. Borrowing size in networks of cities:city size, network connectivity and metropolitan functions in Europe. Papers in Regional Science, 95(1):181-198. doi:10.1111/pirs.12181 |
[39] |
Meijers E J, Burger M J, 2017. Stretching the concept of ‘bor-rowed size’. Urban Studies, 54(1):269-291. doi:10.1177/0042098015597642 |
[40] |
Mikkonen K, Luoma M, 1999. The parameters of the gravity model are changing:how and why? Journal of Transport Geography, 7(4):277-283. doi:10.1016/s0966-6923(99) 00024-1 |
[41] |
Mulligan G F, Partridge M D, Carruthers J I, 2012. Central place theory and its reemergence in regional science. The Annals of Regional Science, 48(2):405-431. doi:10.1007/s00168-011-0496-7 |
[42] |
Neal Z, 2010. Refining the air traffic approach to city networks. Urban Studies, 47(10):2195-2215. doi:10.1177/004209800 9357352 |
[43] |
Neal Z, 2011a. Differentiating centrality and power in the world city network. Urban Studies, 48(13):2733-2748. doi:10.1177/0042098010388954 |
[44] |
Neal Z P, 2011b. From central places to network bases:a transition in the U.S. urban hierarchy, 1900-2000. City & Community, 10(1):49-75. doi:10.1111/j.1540-6040.2010.01340.x |
[45] |
Reilly W J, 1929. Methods for the Study of Retail Relationships. Texas:University of Texas. |
[46] |
Ren Y, Ercsey-Ravasz M, Wang P et al., 2014. Predicting com-muter flows in spatial networks using a radiation model based on temporal ranges. Nature Communications, 5:5347. doi:10.1038/ncomms6347 |
[47] |
Sassen S, 2002. Locating cities on global circuits. Environment and Urbanization, 14(1):13-30. doi:10.1630/0956247021012 86034 |
[48] |
Simini F, González M C, Maritan A et al., 2012. A universal model for mobility and migration patterns. Nature, 484(7392):96-100. doi:10.1038/nature10856 |
[49] |
Stefanouli M, Polyzos S, 2017. Gravity vs radiation model:two approaches on commuting in Greece. Transportation Research Procedia, 24:65-72. doi:10.1016/j.trpro.2017.05.069 |
[50] |
Tan Y T, Xu H, Zhang X L, 2016. Sustainable urbanization in China:a comprehensive literature review. Cities, 55:82-93. doi:10.1016/j.cities.2016.04.002 |
[51] |
Taylor P J, Hoyler M, Verbruggen R, 2010. External urban rela-tional process:introducing central flow theory to complement central place theory. Urban Studies, 47(13):2803-2818. doi:10.1177/0042098010377367 |
[52] |
Taylor P J, Derudder B, Faulconbridge J et al., 2014. Advanced producer service firms as strategic networks, global cities as strategic places. Economic Geography, 90(3):267-291. doi:10.1111/ecge.12040 |
[53] |
Thapa R B, Murayama Y, 2010. Drivers of urban growth in the Kathmandu valley, Nepal:examining the efficacy of the analytic hierarchy process. Applied Geography, 30(1):70-83. doi:10.1016/j.apgeog.2009.10.002 |
[54] |
Tian Y, Wang L, 2019. Mutualism of intra-and inter-prefecture level cities and its effects on regional socio-economic devel-opment:a case study of Hubei Province, Central China. Sus-tainable Cities and Society, 44:16-26. doi:10.1016/j.scs. 2018.09.033 |
[55] |
Ullman, E L, 1941. A theory of location for cities. American Journal of Sociology, 46(6):853-864. |
[56] |
van Meeteren M, Poorthuis A, Derudder B et al., 2016. Pacifying Babel's Tower:a scientometric analysis of polycentricity in urban research. Urban Studies, 53(6):1278-1298. doi:10.1177/0042098015573455 |
[57] |
Wang F H, Xu Y Q, 2011. Estimating O-D travel time matrix by Google Maps API:implementation, advantages, and implica-tions. Annals of GIS, 17(4):199-209. doi:10.1080/19475683. 2011.625977 |
[58] |
Watts D J, Strogatz S H, 1998. Collective dynamics of ‘small-world’ networks. Nature, 393(6684):440-442. doi:10.1038/30918 |
[59] |
Wesolowski A, O'Meara W P, Eagle N et al., 2015. Evaluating spatial interaction models for regional mobility in Sub-Saharan Africa. PLoS Computational Biology, 11(7):e1004267. doi:10.1371/journal.pcbi.1004267 |
[60] |
Xia C, Zhang A Q, Wang H J et al., 2019. Bidirectional urban flows in rapidly urbanizing metropolitan areas and their macro and micro impacts on urban growth:a case study of the Yangtze River middle reaches megalopolis, China. Land Use Policy, 82:158-168. doi:10.1016/j.landusepol.2018.12.007 |
[61] |
Yang H R, Dijst M, Witte P et al., 2019. Comparing passenger flow and time schedule data to analyse High-Speed Railways and urban networks in China. Urban Studies, 56(6):1267-1287. doi:10.1177/0042098018761498 |
[62] |
Ye Qiang, Zhang Lixuan, Peng Peng, et al., 2017. The network characteristics of urban agglomerations in the Middle Reaches of the Yangtze River based on Baidu migration data. Economic Geography, 37(8):53-59. (in Chinese) |
[63] |
Zhang T L, Sun B D, Li W, 2017. The economic performance of urban structure:from the perspective of Polycentricity and Monocentricity. Cities, 68:18-24. doi:10.1016/j.cities.2017. 05.002 |
[64] |
Zhao Ziyu, Wei Ye, Wang Shijun et al., 2017. Measurement of directed alternative centricity and power of directed weighted urban network:a case of population flow network of China during ‘Chunyun’ period. Geographical Research, 36(4):647-660. (in Chinese) |
[65] |
Zhen F, Qin X, Ye X Y et al., 2019. Analyzing urban development patterns based on the flow analysis method. Cities, 86:178-197. doi:10.1016/j.cities.2018.09.015 |
[66] |
Zheng Wensheng, Run Jiying, Zhuo Rongrong et al., 2016. Evo-lution process of urban spatial pattern in Hubei Province based on DMSP/OLS nighttime light data. Chinese Geographical Science, 26(3):366-376. doi:10.1007/s11769-016-0814-1 |
[67] |
Zhong C, Arisona S M, Huang X F et al., 2014. Detecting the dynamics of urban structure through spatial network analysis. International Journal of Geographical Information Science, 28(11):2178-2199. doi:10.1080/13658816.2014.914521 |
[68] |
Zhou D, Xu J C, Wang L et al., 2015. Assessing urbanization quality using structure and function analyses:a case study of the urban agglomeration around Hangzhou Bay (UAHB), China. Habitat International, 49:165-176. doi:10.1016/j. habitatint.2015.05.020 |
[69] |
Zipf G K, 1946. The P1P2/D hypothesis:on the intercity movement of persons. American Sociological Review, 11(6):677-686. |