参考文献

[1] Harris C D, Ullman E L. The nature of cities. Annals

7‒17 of the American Academy of Political and Social Science, 1945, 242(1): [2] Taylor P J, Derudder B. World city network: a global

641‒642 urban analysis. International Social Science Journal, 2004, 31(4): [3] Goetz A R. Air passenger transportation and growth

217‒238 in the US urban system, 1950–1987. Growth and Change, 1992, 23(2):

[4] 1‒14 Taaffe E J. The urban hierarchy: an air passenger definition. Economic Geography, 1962, 38(1): [5] Vickerman R W. The regional impacts of Transeuropean

237‒254 networks. The Annals of Regional Science, 1995, 29(2): [6] Batty M. Urban information networks: the evolution and planning of computer-communications infrastructure. Sydney: Halsted Press, 1991 [7] Mitchelson R L, Wheeler J O. The flow of information in a global economy: the role of the American

87‒107 urban system in 1990. Annals of the Association of American Geographers, 1994, 84(1): [8] Townsend A M. Network cities and the global structure

1697‒1716 of the Internet. American Behavioral Scientist, 2001, 44(10): [9] Matthiessen C W, Schwarz A W. World cities of scientific knowledge: systems, networks and potential

1879‒1897 dynamics. an analysis based on bibliometric indicators. Urban Studies, 2010, 47(9): [10] Sonn J W, Storper M. The increasing importance of

1975‒1997. geographical proximity in knowledge production: an

1020‒1039 analysis of US patent citations, Environment and Planning A, 2008, 40: [11] Graham S, Marvin S. Telecommunications and the

211‒236 city: electronic spaces, urban places. London: Routledge, 1996:

[12] 748‒甄峰, 张敏, 刘贤腾. 全球化、信息化对长江三角洲空间结构的影响. 经济地理, 2004, 24(6): 752 [13] 甄峰, 魏宗财, 杨山, 等. 信息技术对城市居民出

1307‒1317行特征的影响研究——以南京为例. 地理研究, 2009, 28(5):

[14] 王波, 甄峰, 席广亮, 等. 基于微博用户关系的网

380‒391络信息地理研究——以新浪微博为例. 地理研究, 2013, 32(2):

[15] 104‒110 H·巴凯斯, 路紫. 从地理空间到地理网络空间的变化趋势. 地理学报, 2000, 55(1):

[16] 1‒2 Dodge M. Cybergeography. Environment and Planning B: Planning and Design, 2001, 28(1): [17] Bullock S, Barnett L, Di Paolo E A. Spatial embedding

20‒28 and the structure of complex networks. Complexity, 2010, 16(2):

[18] 211‒ Goodchild M F. Citizens as sensors: the world of volunteered geography. Geojournal, 2007, 69(4): 221 [19] Liu Y, Sui Z, Kang C, et al. Uncovering patterns of inter-urban trip and spatial interaction from social media check-in data. Plos ONE, 2014, 9(1): e86026 [20] Ahas R, Mark Ü. Location based services — new

547‒561 challenges for planning and public administration?. Futures, 2005, 37(6): [21] Tiru M, Kuusik A, Lamp M L, et al. LBS in marketing and tourism management: measuring destination

120‒140 loyalty with mobile positioning data. Journal of Location Based Services, 2010, 4(2): [22] Yuan J, Zheng Y, Zhang C, et al. T-drive: driving directions based on taxi trajectories // Proceedings of the 18th SIGSPATIAL International Conference

99‒108 on Advances in Geographic Information Systems. Savannah: ACM, 2010: [23] Kang C, Liu Y, Wu L. Delineating intra-urban spatial connectivity patterns by travel-activities: a case study of Beijing, China // Proceedings of The 23rd International 1‒7 Conference on Geoinformatics. Wuhan, 2014: [24] Liu Y, Liu X, Gao S, et al. Social sensing: a new approach to understanding our socioeconomic environments.

512‒530 Annals of the Association of American Geographers, 2015, 105(3): [25] Wilson A G. The use of entropy maximizing models in the theory of trip distribution, mode split and route split. Journal of Transport Economics and Policy, 1969, 3(1): 108−126

[26] 刘瑜, 龚俐, 童庆禧. 空间交互作用中的距离影响及定量分析. 北京大学学报(自然科学版), 2014,

526‒534 50(3): [27] Schrage L. Linear, integer, and quadratic programming with LINDO. 3rd ed. Palo Alto: The Scientific Press, 1986 [28] O’kelly M E, Song W, Shen G. New estimates of

271‒285 gravitational attraction by linear programming. Geographical Analysis, 1995, 27(4): [29] Shen G. Estimating nodal attractions with exogenous spatial interaction and impedance data using the gravity 213‒220 model. Papers in Regional Science, 1999, 78(2): [30] Shen G. Reverse-fitting the gravity model to inter-city

219‒ airline passenger flows by an algebraic simplification. Journal of Transport Geography, 2004, 12(3): 234 [31] Xiao Y, Wang F, Liu Y, et al. Reconstructing gravitational

2001‒2008: attractions of major cities in china from air passenger flow data, a particle swarm

265‒282 optimization approach. The Professional Geographer, 2013, 65(2): [32] Van den Bergh F, Engelbrecht A P. A study of particle swarm optimization particle trajectories. Information

937‒971 Sciences, 2006, 176(8):

[33] 462‒465 Brockmann D, Hufnagel L, Geisel T. The scaling laws of human travel. Nature, 2006, 439: [34] Jiang B, Yin J, Zhao S. Characterizing the human mobility pattern in a large street network. Physical Review E, 2009, 80: 021136 [35] Noulas A, Scellato S, Lambiotte R, et al. A tale of many cities: universal patterns in human urban mobility. Plos ONE, 2012, 7(5): e37027

[36] 133‒136保继刚. 引力模型在游客预测中的应用. 中山大学学报(自然科学版), 1992, 31(4): [37] 刘瑜, 康朝贵, 王法辉. 大数据驱动的人类移动模

660‒666式和模型研究. 武汉大学学报(信息科学版), 2014, 39(6): [38] Wang S S, Stefanone M A. Showing off? Human mobility and the interplay of traits, self-disclosure,

437‒457 and Facebook check-ins. Social Science Computer Review, 2013, 31(4):

[39] 184‒194 Dann G M S. Anomie, ego-enhancement and tourism. Annals of Tourism Research, 1977, 4(4):

[40] 117‒127吴必虎. 上海城市游憩者流动行为研究. 地理学报, 1994, 49(2):