[1] Batty M. Invisible cities. Environment and Planning B: Planning and Design. 1990, 17: 127-130, doi: 10.1068/b170127.
[2] Ahas R, Mark Uë. Location based services: New challenges for planning and public administration? Futures, 2005, 37:547-561, doi: 10.1016/j.futures.2004.10.012.
[3] Goodchild M F. Citizens as sensors: The world of volunteered geography. GeoJournal, 2007, 69(4): 211-221, doi:10.1007/s10708-007-9111-y.
[4] Newhaus F. Urban diary: A tracking project//UCL Working Paper Series. Paper 151.Available on line: http://discovery.ucl.ac.uk/19245/
[5] Jiang B, Yin J, Zhao S. Characterizing human mobility patterns in a large street network, Physical Review, 2009, E80021136, doi: 10.1103/PhysRevE.80.021136.
[6] Liu L, Andris C, Ratti C. Uncovering cabdrivers' behavior patterns from their digital traces Computers. Environmentand Urban Systems, 2010, 34(6): 541-548, doi: 10.1016/j.compenvurbsys.2010.07.004.
[7] Ratti C, Pulselli R M, Williams S et al. Mobile landscapes: Using location data from cell phones for urban analysis.Environment and Planning B: Planning and Design, 2006, 33(5): 727-748, doi: 10.1068/b32047.
[8] Calabrese F, Ratti C. Real time Rome. Networks and Communication Studies, 2006, 20: 247-258.
[9] Steenbruggen J, Borzacchiello M T, Nijkamp P et al. Mobile phone data from GSM networks for traffic parameter andurban spatial pattern assessment: A review of applications and opportunities. GeoJournal, 2011, doi: 10.1007/s10708-011-9413-y.
[10] Reades J, Calabrese F, Ratti C. Eigenplaces: Analysing cities using the space-time structure of the mobile phonenetwork. Environment and Planning B: Planning and Design, 2009, 36(5): 824-836, doi: 10.1068/b34133t.
[11] Milton R. Twitter tags and real-time visualisation of complex geographic data with MapTube. Advances in SpatialAnalysis & e-Social Science, 2010. A One Day CASA Conference, UCL, UK.Available on line: http://www.casa.ucl.ac.uk/conference/programme.html?abstract=a1500
[12] Jones B W, Spigel B, Malecki E J. Blog links as pipelines to buzz elsewhere: The case of New York theater blogs.Environment and Planning B: Planning and Design, 2010, 37(1): 99-111, doi: 10.1068/b35026.
[13] Rekimoto J, Miyaki T, Ishizawa T. LifeTag: WiFi-based continuous location logging for life pattern analysis. 3rdInternational Symposium on Location- and Context-Awareness (LOCA2007), 2007: 35-49.
[14] Torrens P M. Wi-Fi geographies. Annals of the Association of American Geographers, 2008, 98(1): 59-84, doi:10.1080/00045600701734133.
[15] Shoval N. Sensing human society. Environment and Planning B: Planning and Design, 2007, 34(2): 191-195, doi:10.1068/b3402com.
[16] Liu Zhilin, Wang Maojun. Job accessibility and its impacts on commuting time of urban residents in Beijing: From aspatial mismatch perspective. Acta Geographica Sinica, 2011, 66(4): 457-467. [刘志林, 王茂军. 北京市职住空间错位对居民通勤行为的影响分析: 基于就业可达性与通勤时间的讨论. 地理学报, 2011, 66(4): 457-467.]
[17] Long Y, Shen Z, Mao Q et al. Retrieving individuals' attributes from aggregated dataset for urban micro-simulation: Aprimary exploration. Geoinformatics, 2010, doi: 10.1109/GEOINFORMATICS.2010.5567738.
[18] Bagchi M, White P. What role for smart-card data from bus systems? Municipal Engineer 2004, 157(1): 39-46, doi:10.1680/muen.2004.157.1.39.
[19] Joh C H, Hwang C. A Time-geographic analysis of trip trajectories and land use characteristics in Seoul metropolitanarea by using multidimensional sequence alignment and spatial analysis, 2010 AAG Annual Meeting, Washington, DC.Abstract available on line:http://meridian.aag.org/callforpapers/program/AbstractDetail.cfm?AbstractID=30812
[20] Jang W. Travel time and transfer analysis using transit smart card data: Transportation Research Record. Journal of theTransportation Research Board, 2010, 2144: 142-149, doi: 10.3141/2144-16.
[21] Roth C, Kang S M, Batty M et al. Structure of urban movements: Polycentric activity and entangled hierarchical flowsPLoS ONE, 2011, 6(1): e15923, doi: 10.1371/journal.pone.0015923.
[22] Zhou Tao, Zhai Changxu, Gao Zhigang. Approaching bus OD matrices based on data reduced from bus IC cards.Urban Transport of China, 2007, 5(3): 48-52. [周涛, 翟长旭, 高志刚. 基于公交IC 卡数据的OD推算技术研究. 城市交通, 2007, 5(3): 48-52.]
[23] Dong Xiaojing, Yu Zhiwei, Fu Weiwei et al. Data processing and analyzing system for bus IC card based on GIS.Geospatial Information, 2009, 7(5): 124-126. [董晓晶, 余志伟, 伏伟伟等. 基于GIS 的公交IC 卡数据处理及分析系统. 地理空间信息, 2009, 7(5): 124-126.]
[24] Peng Han, Han Xiuhua, Tian Zhenzhong et al. Transfer matrix construction method based on bus IC card dataprocessing. Computer and Communications, 2007, (4): 32-34. [彭晗, 韩秀华, 田振中等. 公交IC 卡数据处理的换乘矩阵构造方法研究. 交通与计算机, 2007, (4): 32-34.]
[25] Yang Zhiwei, Zhao Qian, Zhao Shengchuan et al. Passenger flow volume forecasting method based on public transitintelligent card (IC) survey data. Transport Standardization, 2009, (9): 115-119. [杨智伟, 赵骞, 赵胜川等. 基于公交IC 卡数据信息的客流预测方法研究. 交通标准化, 2009, (9): 115-119.]
[26] Liu Xiaoming. Bus smart cards will be extensively adopted in Beijing on April 1, 2006, 2009, http://www.enet.com.cn/article/2005/1229/A20051229488080.shtml. accessed on 2010-05-25. [刘小明. 2006 年4 月1 日起北京将全面推行公交IC 卡. http://www.enet.com.cn/article/2005/1229/A20051229488080.shtml.]
[27] Beijing Transportation Research Center. Beijing Transportation Annual Report 2009. 2009. [北京市交通发展研究中心. 2009 北京市交通发展年度报告. 2009.]
[28] Beijing Institute of City Planning. Beijing Job Position Allocation for 2008. 2010. [北京市城市规划设计研究院. 2008年北京市就业空间分布研究报告. 2010.]
[29] Beijing Municipal Commission of Transport, Beijing Transportation Research Center. The 3rd TransportationComprehensive Survey Report of Beijing Working Report. 2007. [北京市交通委员会, 北京市交通发展研究中心. 北京市第三次交通综合调查总报告. http://210.75.218.99/InfoCenter/Func/OpenNews.asp?NewsID=INN20090706001.2007.]
[30] Zhao P, Lv B, Roo G de. Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era.Journal of Transport Geography, 2011, 19: 59-69, doi: 10.1016/j.jtrangeo.2009.09.008.
[31] Wang D, Chai Y. The jobs-housing relationship and commuting in Beijing, China: The legacy of Danwei. Journal ofTransport Geography, 2009, 17: 30-38, doi: 10.1016/j.jtrangeo.2008.04.005.
[32] Jiang B, Liu X. Scaling of geographic space from the perspective of city and field blocks and using volunteeredgeographic information. International Journal of Geographical Information Science 2012, 26(2): 215-229, doi: 10.1080/13658816.2011.575074.
