[1] The real-time city? Big data and smart urbanism[J]. GeoJournal, 79, 1-14(2014).
[2] Geographies of transport I: Reinventing a field?[J]. Progress in Human Geography, 40, 126-137(2016).
[3] 陆锋, 刘康, 陈洁. 大数据时代的人类移动性研究[J]. 地球信息科学学报, 2014,16(5):665-672. [ LuF, LiuK, ChenJ. Research on human mobility in big data era[J]. Journal of Geo-information Science, 2014. 16(5):665-672.] [ Lu F, Liu K, Chen J. Research on human mobility in big data era[J]. Journal of Geo-information Science, 2014.16(5):665-672.]
[4] 金凤君, 靳海涛. 人文—经济地理学的学科融合和创新[J]. 地理科学进展, 2018,37(3):309-316. [ Jin FJ, Jin HT. Integration and innovation paths of human geography[J]. Progress in Geography, 2018,37(3):309-316. ] [ Jin F J, Jin H T.Integration and innovation paths of human geography[J]. Progress in Geography, 2018,37(3):309-316. ]
[5] 裴韬, 刘亚溪, 郭思慧, 等. 地理大数据挖掘的本质[J]. 地理学报, 2019,74(3):586-598. [ PeiT, Liu YX, Guo SH, et al. Principle of big geodata mining[J]. Acta Geographica Sinica, 2019,74(3):586-598. ] [ Pei T, Liu Y X, Guo S H, et al.Principle of big geodata mining[J]. Acta Geographica Sinica, 2019,74(3):586-598. ]
[6] 陈航, 张文尝, 金凤君, 等. 中国交通地理[M]. 北京: 科学出版社, 2000. [ ChenH, Zhang WC, Jin FJ, et al.Transport geography in China[M]. Beijing: Beijing Science Press, 2000. ] [ Chen H, Zhang W C, Jin F J, et al. Transport geography in China[M]. Beijing: Beijing Science Press, 2000. ]
[7] 陆大道, 樊杰. 区域可持续发展研究的兴起与作用[J]. 中国科学院院刊, 2012,27(3):290-319. [ Lu DD, FanJ. The rise and effects of regional sustainable development studies in China[J]. Bulletin of Chinese Academy of Sciences, 2012,27(3):290-319. ] [ Lu D D, Fan J. The rise and effects of regional sustainable development studies in China[J]. Bulletin of Chinese Academy of Sciences, 2012,27(3):290-319. ]
[8] 王姣娥, 焦敬娟, 黄洁等. 交通发展区位测度的理论与方法[J]. 地理学报, 2018,73(4):666-676. [ Wang JE, Jiao JJ, HuangJ, et al, Theory and methodology of transportation development and location measures[J]. Acta GeographicaSinica, 2018,73(4):666-676. ] [ Wang J E, Jiao J J, Huang J, et al, Theory and methodology of transportation development and location measures[J]. Acta GeographicaSinica, 2018,73(4):666-676. ]
[9] et alUnderstanding metropolitan patterns of daily encounters[J]. Proceedings of the National Academy of Sciences, 110, 13774-13779(2013).
[10] et alTracking job and housing dynamics with smartcard data[J]. Proceedings of the National Academy of Sciences, 115, 12710-12715(2018).
[11] 李思宇, 向隆刚, 张彩丽, 等. 基于低频出租车轨迹的城市路网交叉口提取研究[J]. 地球信息科学报, 2019,21(12):1845-1854. [ Li SY, Xiang LG, Zhang CL, et al. Extraction of urban road network intersections based on low-frequency taxi trajectory data[J]. Journal of Geo-information Science, 2019,21(12):1845-1854. ] [ Li S Y, Xiang L G, Zhang C L, et al. Extraction of urban road network intersections based on low-frequency taxi trajectory data[J]. Journal of Geo-information Science, 2019,21(12):1845-1854. ]
[12] et alThe promises of big data and small data for travel behavior (aka human mobility) analysis[J]. Transportation research part C: emerging technologies, 68, 285-299(2016).
[13] et alUrban mobility and neighborhood isolation in America's 50 largest cities[J]. Proceedings of the National Academy of Sciences, 115, 7735-7740(2018).
[14] 蒋小荣, 汪胜兰, 杨永春. 中国城市人口流动网络研究——基于百度LBS大数据分析[J]. 人口与发展, 2017,23(1):13-23. [ Jiang XR, Wang SL, Yang YC. Research on China's urban population mobility network based on Baidu LBS big data[J]. Population & Development, 2017,23(1):13-23. ] [ Jiang X R, Wang S L, Yang Y C. Research on China's urban population mobility network based on Baidu LBS big data[J]. Population & Development, 2017,23(1):13-23. ]
[15] 王德, 朱查松, 谢栋灿. 上海市居民就业地迁移研究——基于手机信令数据的分析[J].中国人口科学,2016(1):80-89. [ WangD, Zhu CS, Xie DC. Research on intra-city employment mobility in Shanghai: Based on cell phone data[J]. Chinese Journal of Population Science, 2016(1):80-89. ] [ Wang D, Zhu C S, Xie D C. Research on intra-city employment mobility in Shanghai: Based on cell phone data[J]. Chinese Journal of Population Science, 2016(1):80-89. ]
[16] 王姣娥, 景悦. 中国城市网络等级结构特征及组织模式——基于铁路和航空流的比较[J]. 地理学报, 2017,72(8):1508-1519. [ Wang JE, JingY. Comparison of spatial structure and organization mode of inter-city networks from the perspective of railway and air passenger flow[J]. Acta Geographica Sinica, 2017,72(8):1508-1519. ] [ Wang J E, Jing Y. Comparison of spatial structure and organization mode of inter-city networks from the perspective of railway and air passenger flow[J]. Acta Geographica Sinica, 2017,72(8):1508-1519. ]
[17] 黄洁, 王姣娥. 枢纽机场的航班波体系结构及其喂给航线的空间格局研究[J]. 地理科学, 2018,38(11):1749-1757. [ HuangJ, Wang JE. Wave-system structures of airport hubs and spatial patterns of possible indirect connections[J]. Scientia Geographica Sinica, 2018,38(11):1749-1757. ] [ Huang J, Wang J E. Wave-system structures of airport hubs and spatial patterns of possible indirect connections[J]. Scientia Geographica Sinica, 2018,38(11):1749-1757. ]
[18] A comparison of indirect connectivity in Chinese airport hubs: 2010 vs. 2015[J]. Journal of Air Transport Management, 65, 29-39(2017).
[19] 杨振山, 龙瀛, DouayN. 大数据对人文—经济地理学研究的促进与局限[J]. 地理科学进展, 2015,34(4):410-417. [ Yang ZS, LongY, DouayN. Opportunities and limitations of big data applications tohuman and economic geography: the state of the art[J]. Progress in Geography, 2015,34(4):410-417. ] [ Yang Z S, Long Y, Douay N. Opportunities and limitations of big data applications tohuman and economic geography: the state of the art[J]. Progress in Geography, 2015,34(4):410-417. ]
[20] 甄峰, 秦萧, 王波. 大数据时代的人文地理研究与应用实践[J]. 人文地理, 2014,29(3):1-6. [ ZhenF, QinX, WangB. Human geography research and practical application in big data era[J]. Human geography.2014,29(3):1-6. ] [ Zhen F, Qin X, Wang B. Human geography research and practical application in big data era[J]. Human geography. 2014,29(3):1-6. ]
[21] 马静, 柴彦威, 符婷婷. 居民时空行为与环境污染暴露对健康影响的研究进展[J]. 地理科学进展, 2017,36(10):1260-1269. [ MaJ, Chai YW, Fu TT. Progress of research on the health impact of people's space-time behavior and environmental pollution exposure[J]. Progress in Geography, 2017,36(10):1260-1269. ] [ Ma J, Chai Y W, Fu T T. Progress of research on the health impact of people's space-time behavior and environmental pollution exposure[J]. Progress in Geography,2017,36(10):1260-1269. ]
[22] 李国旗, 金凤君, 陈娱, 等. 基于POI的北京物流业区位特征与分异机制[J]. 地理学报, 2017,72(6):1091-1103. [ Li GQ, Jin FJ, ChenY, et al. Location characteristics and differentiation mechanism of logistics industry based on points of interest: A case study of Beijing[J]. Acta GeographicaSinica, 2017,72(6):1091-1103. ] [ Li G Q, Jin F J, Chen Y, et al. Location characteristics and differentiation mechanism of logistics industry based on points of interest: A case study of Beijing[J].Acta GeographicaSinica, 2017,72(6):1091-1103. ]
[23] et alThe path most traveled: Travel demand estimation using big data resources[J]. Transportation Research Part C: Emerging Technologies, 58, 162-177(2015).
[24] 黄洁, 王姣娥, 靳海涛, 等. 北京市地铁客流的时空分布格局及特征——基于智能交通卡数据[J]. 地理科学进展, 2018,37(3):397-406. [ HuangJ, Wang JE, Jin HT, et al. Investigating spatiotemporal patterns of passenger flows in the Beijing metro system from smart card data[J]. Progress in Geography, 2018,37(3):397-406. ] [ Huang J, Wang J E, Jin H T, et al. Investigating spatiotemporal patterns of passenger flows in the Beijing metro system from smart card data[J]. Progress in Geography, 2018,37(3):397-406. ]
[25] Circuity in urban transit networks[J]. Journal of Transport Geography, 48, 145-153(2015).
[26] 魏冶, 修春亮, 刘志敏, 等. 春运人口流动透视的转型期中国城市网络结构[J]. 地理科学, 2016,36(11):1654-1660. [ WeiY, Xiu CL, Liu ZM, et al. Spatial pattern of city network in transitional China based on the population flows in “Chunyun” Period[J]. Scientia GeographicaSinica, 2016,36(11):1654-1660. ] [ Wei Y, Xiu C L, Liu Z M, et al. Spatial pattern of city network in transitional China based on the population flows in “Chunyun” Period[J]. Scientia GeographicaSinica, 2016,36(11):1654-1660. ]
[27] 刘瑜, 康朝贵, 王法辉. 大数据驱动的人类移动模式和模型研究[J]. 武汉大学学报·信息科学版, 2014,39(6):660-666. [ LiuY, Kang CG, Wang FH. Towards big data-driven human mobility patterns and models[J]. Geomatics and Information Science of Wuhan University, 2014,39(6):660-666. ] [ Liu Y, Kang C G, Wang F H. Towards big data-driven human mobility patterns and models[J].Geomatics and Information Science of Wuhan University, 2014,39(6):660-666. ]
[28] 柴彦威, 申悦, 肖作鹏, 等. 时空间行为研究动态及其实践应用前景[J]. 地理科学进展, 2012,31(6):667-675. [ Chai YW, ShenY, Xiao ZP, et al. Review for space-time behavior research: Theory frontiers and application in the future[J]. Progress in Geography, 2012,31(6):667-675. ] [ Chai Y W, Shen Y, Xiao Z P, et al. Review for space-time behavior research: Theory frontiers and application in the future[J]. Progress in Geography, 2012,31(6):667-675. ]
[29] 焦敬娟, 王姣娥, 金凤君, 等. 高速铁路对城市网络结构的影响研究——基于铁路客运班列分析[J]. 地理学报, 2016,17(2):265-280. [ Jiao JJ, Wang JE, Jin FJ, et al. Impact of high-speed rail on inter-city network based on the passenger train network in China, 2003-2013[J]. Acta GeographicaSinica.2016,17(2):265-280. ] [ Jiao J J, Wang J E, Jin F J, et al. Impact of high-speed rail on inter-city network based on the passenger train network in China, 2003-2013[J]. Acta GeographicaSinica. 2016,17(2):265-280. ]
[30] . Philosophies of economic geography(2013).
[31] 程昌秀, 史培军, 宋长青, 等. 地理大数据为地理复杂性研究提供新机遇[J]. 地理学报, 2018,73(8):1397-1406. [ Cheng CX, Shi PJ, Song CQ, et al. Geographic big-data: A new opportunity for geography complexity study. Acta Geographica Sinica, 2018,73(8):1397-1406. ] [ Cheng C X, Shi P J, Song C Q, et al. Geographic big-data: A new opportunity for geography complexity study. Acta Geographica Sinica, 2018,73(8):1397-1406. ]
[32] 赵珂, 于立.大规划: 大数据时代的参与式地理设计[J]. 城市发展研究, 2014,21(10):28-32. [ ZhaoK, YuL. Big planning: Participatory geodesign in the age of big data[J]. Urban Development Studies, 2014,21(10):28-32. ] [ Zhao K, Yu L. Big planning: Participatory geodesign in the age of big data[J]. Urban Development Studies, 2014,21(10):28-32. ]
[33] 李晨阳. 大数据环境下人工智能计算技术[J].电子技术与软件工程,2018(11):180-181. [ Li CY. Artificial intelligence computing technology in big data environment[J].Electronic Technology & Software Engineering, 2018(11):180-181. ] [ Li C Y. Artificial intelligence computing technology in big data environment[J].Electronic Technology & Software Engineering, 2018(11):180-181. ]
[34] Big data and understanding change in the context of planning transport systems[J]. Journal of Transport Geography, 76, 235-244(2019).
[35] 杨东援. 通过大数据促进城市交通规划理论的变革[J]. 城市交通, 2016,14(3):72-80. [ Yang DY. Promoting urban transportation planning theory innovation using big data[J]. Urban Transportation of China, 2016,14(3):72-80. ] [ Yang D Y. Promoting urban transportation planning theory innovation using big data[J]. Urban Transportation of China,2016,14(3):72-80. ]
[36] 柴彦威, 申悦, 陈梓烽. 基于时空间行为的人本导向的智慧城市规划与管理[J]. 国际城市规划, 2014,29(6):31-37. [ Chai YW, ShenY, Chen ZF. Towards smarter cities: Human-oriented urban planning and management based on space-time behavior research[J]. Urban Planning International, 2014,29(6):31-37. ] [ Chai Y W, Shen Y, Chen Z F. Towards smarter cities: Human-oriented urban planning and management based on space-time behavior research[J].Urban Planning International, 2014,29(6):31-37. ]
[37] 甄峰, 席广亮, 秦萧. 基于地理视角的智慧城市规划与建设的理论思考[J]. 地理科学进展, 2015,34(4):402-409. [ ZhenF, Xi GL, QinX. Smart city planning and construction based on geographic perspectives: Some theoretical thinking[J]. Progress in Geography, 2015,34(4):402-409. ] [ Zhen F, Xi G L, Qin X. Smart city planning and construction based on geographic perspectives: Some theoretical thinking[J]. Progress in Geography, 2015,34(4):402-409. ]
[38] Understanding individual human mobility patterns[J]. Nature., 453, 779(2008).
[39] Understanding congested travel in urban areas[J]. Nature communications, 7, 10793(2016).
[40] et alRevealing travel patterns and city structure with taxi trip data[J]. Journal of Transport Geography, 43, 78-90(2015).
[41] et alThe TimeGeo modeling framework for urban mobility without travel surveys[J]. Proceedings of the National Academy of Sciences, 113, 5370-5378(2016).
[42] et alJob-worker spatial dynamics in Beijing: Insights from smart card data[J]. Cities, 86, 83-93(2019).
[43] Big data, smart cities and city planning[J]. Dialogues in Human Geography, 3, 274-279(2013).
[44] Impacts of high-speed rail lines on the city network in China[J]. Journal of Transport Geography, 60, 257-266(2017).
[45] A comparison of indirect connectivity in Chinese airport hubs 2010 vs 2015[J]. Journal of Air Transport Management, 65, 29-39(2017).
[47] 李德仁. 论时空大数据的智能处理与服务[J]. 地球信息科学学报, 2019,21(12):1825-1831. [ LiD. The intelligent processing and service of spatiotemporal big data[J]. Journal of Geo-information Science, 2019,21(12):1825-1831. ] [ Li D. The intelligent processing and service of spatiotemporal big data[J]. Journal of Geo-information Science, 2019,21(12):1825-1831. ]
