[1] et alMapping spatial accessibility of public transportation network in an urban area: A case study of Shanghai Hongqiao transportation hub[J]. Transportation Research Part D: Transport and Environment, 59, 478-495(2018).

[2] [2] 吴康, 方创琳, 赵渺希. 中国城市网络的空间组织及其复杂性结构特征[J]. 地理研究, 2015,34(4):711-728. [ WuK, Fang CL, Zhao MX. The spatial organization and structure complexity of Chinese intercity networks[J]. Geographical Research, 2015,34(4):711-728. ] [ Wu K, Fang C L, Zhao M X. The spatial organization and structure complexity of Chinese intercity networks[J]. Geographical Research, 2015,34(4):711-728. ]

[3] [3] 陈光, 温广辉, 虞文武. 基于复杂网络的城市公交网络研究综述[J]. 南京信息工程大学学报(自然科学版), 2018,10(4):401-408. [ ChenG, Wen GH, Yu WW. A survey of studies on urban public transportation networks based on complex network[J]. Journal of Nanjing University of Information Science & Technology (Natural Science Edition), 2018,10(4):401-408. ] [ Chen G, Wen G H, Yu W W. A survey of studies on urban public transportation networks based on complex network[J]. Journal of Nanjing University of Information Science & Technology (Natural Science Edition), 2018,10(4):401-408. ]

[4] [4] 王姣娥, 莫辉辉, 金凤君. 中国航空网络空间结构的复杂性[J]. 地理学报, 2009,64(8):899-910. [ Wang JE, Mo HH, Jin FJ. Spatial structural characteristics of chinese aviation network based on complex network theory[J]. Acta Geographica Sinica, 2009,64(8):899-910.] [ Wang J E, Mo H H, Jin F J. Spatial structural characteristics of chinese aviation network based on complex network theory[J]. Acta Geographica Sinica, 2009,64(8):899-910.]

[5] [5] 段德忠, 刘承良, 杜德斌, 等. 基于二分网络的北京公交线路布局的空间依赖性[J]. 地理学报, 2016,71(12):2185-2198. [ Duan DZ, Liu CL, Du DB, et al. Spatial dependency of bus-line distribution based on bipartite network: A case study of Beijing city[J]. Acta Geographica Sinica, 2016,71(12):2185-2198. ] [ Duan D Z, Liu C L, Du D B, et al. Spatial dependency of bus-line distribution based on bipartite network: A case study of Beijing city[J]. Acta Geographica Sinica, 2016,71(12):2185-2198. ]

[6] [6] 唐秋生, 冯海峰, 李维. 基于复杂网络理论的长沙市公交网络拓扑性质研究[J]. 交通信息与安全, 2013,31(4):49-52. [ Tang QS, Feng HF, LiW. Topology of Changsha public traffic network based on complex network theory[J]. Journal of Transport Information and Safety, 2013,31(4):49-52. ] [ Tang Q S, Feng H F, Li W. Topology of Changsha public traffic network based on complex network theory[J]. Journal of Transport Information and Safety, 2013,31(4):49-52. ]

[7] [7] 许晴, 祖正虎, 徐致靖, 等. 330个中国城市P空间下公交复杂网络实证研究[J]. 交通运输系统工程与信息, 2013,13(1):193-198. [ XuQ, Zu ZH, Xu ZQ. Space P-based empirical research on public transport complex networks in 330 cities of China[J]. Journal of Transportation Systems Engineering and Information Technology, 2013,13(1):193-198. ] [ Xu Q, Zu Z H, Xu Z Q. Space P-based empirical research on public transport complex networks in 330 cities of China[J]. Journal of Transportation Systems Engineering and Information Technology, 2013,13(1):193-198. ]

[8] [8] 钟少颖, 王宁宁, 陈锐. 北京市公交网络枢纽性和抗毁性——基于复杂网络分析方法的研究[J]. 城市发展研究, 2016,23(6):123-132. [ Zhong SY, Wang NN, ChenR. The analysis of the hub and invulnerability of Beijing city bus transportation network based on complex network methods[J]. Urban Development Studies, 2016,23(6):123-132. ] [ Zhong S Y, Wang N N, Chen R. The analysis of the hub and invulnerability of Beijing city bus transportation network based on complex network methods[J]. Urban Development Studies, 2016,23(6):123-132. ]

[9] [9] 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]. ActaGeographicaSinica, 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]. ActaGeographicaSinica, 2018,73(4):666-676. ]

[10] Building temporal dynamism into applied GIS research[J]. Applied Spatial Analysis and Policy, 12, 1-3(2019).

[11] [11] 王凯, 甘畅, 杨亚萍, 等. 长江中游城市群市域旅游经济网络结构演变及其驱动因素[J]. 地理与地理信息科学, 2019,35(5):118-125. [ WangK, GanC, Yang YP, et al. Evolution and driving factors of urban tourism economic network structure in urban agglomeration in the middle reaches of the Yangtze River[J]. Geography and Geo-Information Science, 2019,35(5):118-125. ] [ Wang K, Gan C, Yang Y P, et al. Evolution and driving factors of urban tourism economic network structure in urban agglomeration in the middle reaches of the Yangtze River[J]. Geography and Geo-Information Science, 2019,35(5):118-125. ]

[12] [12] 孟德友, 冯兴华, 文玉钊. 铁路客运视角下东北地区城市网络结构演变及组织模式探讨[J]. 地理研究, 2017,36(7):1339-1352. [ Meng DY, Feng XH, Wen YZ. Urban network structure evolution and organizational pattern in Northeast China from the perspective of railway passenger transport[J]. Geographical Research, 2017,36(7):1339-1352. ] [ Meng D Y, Feng X H, Wen Y Z. Urban network structure evolution and organizational pattern in Northeast China from the perspective of railway passenger transport[J]. Geographical Research, 2017,36(7):1339-1352. ]

[13] [13] 余红楚, 方志祥, 陆锋, 等. 重要经济发展区域间海运网络时空演变特性分析[J]. 地球信息科学学报, 2018,20(5):582-592. [ Yu HC, Fang ZX, LuF, et al. Spatial-temporal evolution patterns of maritime networks between important economic developing zones revealed[J]. Journal of Geo-information Science, 2018,20(5):582-592. ] [ Yu H C, Fang Z X, Lu F, et al. Spatial-temporal evolution patterns of maritime networks between important economic developing zones revealed[J]. Journal of Geo-information Science, 2018,20(5):582-592. ]

[14] [14] 刘帅宾, 杨山, 王钊. 基于人口流的中国省域城镇化空间关联特征及形成机制[J]. 地理学报, 2019,74(4):648-663. [ Liu BS, YangS, WangZ. Characteristics and formation mechanism of China's provincial urbanization spatial correlation based on population flow[J]. Acta Geographica Sinica, 2019,74(4):648-663.] [ Liu B S, Yang S, Wang Z. Characteristics and formation mechanism of China's provincial urbanization spatial correlation based on population flow[J]. Acta Geographica Sinica, 2019,74(4):648-663.]

[15] [15] 陈少沛. 城市地铁网络拓扑时空演变特征模型研究[J]. 地理空间信息, 2019,17(9):5-9. [ Chen SP. Research on spatio-temporal evolution characteristic model of urban subway network topology[J]. Geospatial Information, 2019,17(9):5-9. ] [ Chen S P. Research on spatio-temporal evolution characteristic model of urban subway network topology[J]. Geospatial Information, 2019,17(9):5-9. ]

[16] [16] 龙瀛, 张宇, 崔承印. 利用公交刷卡数据分析北京职住关系和通勤出行[J]. 地理学报, 2012,67(10):1339-1352. [ LongY, ZhangY, Cui CY. Identifying commuting pattern of Beijing using bus smart card data[J]. Acta Geographica Sinica, 2012,67(10):1339-1352. ] [ Long Y, Zhang Y, Cui C Y. Identifying commuting pattern of Beijing using bus smart card data[J]. Acta Geographica Sinica, 2012,67(10):1339-1352. ]

[17] [17] 孟斌, 黄松, 尹芹. 北京市居民地铁出行出发时间弹性时空分布特征研究[J]. 地球信息科学学报, 2019,21(1):107-117. [ MengB, HuangS, YinQ. Spatial and temporal distribution characteristics of residents' depart times elasticity in Beijing[J]. Journal of Geo-information Science, 2019,21(1):107-117. ] [ Meng B, Huang S,Yin Q. Spatial and temporal distribution characteristics of residents' depart times elasticity in Beijing[J]. Journal of Geo-information Science, 2019,21(1):107-117. ]

[18] [18] 刘瑜, 詹朝晖, 朱递, 等. 集成多源地理大数据感知城市空间分异格局[J]. 武汉大学学报·信息科学版, 2018,43(3):327-335. [ LiuY, Zhan ZH, ZhuD, et al. Incorporating multi-source big geo-data to sense spatial heterogeneity pattern sina urban space[J]. Geomatics and Information Science of Wuhan University, 2018,43(3):327-335. ] [ Liu Y, Zhan Z H, Zhu D, et al. Incorporating multi-source big geo-data to sense spatial heterogeneity pattern sina urban space[J]. Geomatics and Information Science of Wuhan University, 2018,43(3):327-335. ]

[19] [19] 徐晓宇, 李梅. 基于开源大数据的北京地区餐饮业空间分布格局[J]. 地球信息科学学报, 2019,21(2):215-225. [ Xu XY, LiM. Analysis on spatial distribution pattern of Beijing restaurants based on open source big data[J]. Journal of Geo-information Science, 2019,21(2):215-225. ] [ Xu X Y, Li M. Analysis on spatial distribution pattern of Beijing restaurants based on open source big data[J]. Journal of Geo-information Science, 2019,21(2):215-225. ]

[20] [20] 尹芹, 孟斌, 张丽英. 基于客流特征的北京地铁站点类型识别[J]. 地理科学进展, 2016,35(1):126-134. [ YinQ, MengB, Zhang LY. Classification of subway stations in Beijing based on passenger flow characteristics[J]. Progress in Geography, 2016,35(1):126-134. ] [ Yin Q, Meng B, Zhang L Y. Classification of subway stations in Beijing based on passenger flow characteristics[J]. Progress in Geography, 2016,35(1):126-134. ]

[21] [21] 赵梓渝, 魏冶, 杨冉, 等. 中国人口省际流动重力模型的参数标定与误差估算[J]. 地理学报, 2019,74(2):203-221. [ Zhan ZY, WeiY, YangR, et al. Gravity model coefficient calibration and error estimation: Based on Chinese interprovincial population flow[J]. Acta Geographica Sinica, 2019,74(2):203-221. ] [ Zhan Z Y, Wei Y, Yang R, et al. Gravity model coefficient calibration and error estimation: Based on Chinese interprovincial population flow[J]. Acta Geographica Sinica, 2019,74(2):203-221. ]

[22] [22] 徐敏, 黄震方, 曹芳东, 等. 基于大数据分析的城市旅游地网络结构特征及其演化模式——以新浪微博签到数据为例[J]. 地理研究, 2019,38(4):937-949. [ XuM, Huang ZF, Cao FD, et al. The network structure of urban tourist destination and its evolution mode based on big data analysis: taking the data of Sina weibo sign-in as an example[J]. Geographical Research, 2019,38(4):937-949. ] [ Xu M, Huang Z F, Cao F D, et al. The network structure of urban tourist destination and its evolution mode based on big data analysis: taking the data of Sina weibo sign-in as an example[J]. Geographical Research, 2019,38(4):937-949. ]

[23] [23] 刘大均. 长江中游城市群旅游流空间格局及发展模式[J]. 经济地理, 2018,38(5):217-223. [ Liu DJ. Spatial pattern and development model of tourist flow in urban agglomeration in the middle reaches of the Yangtze River[J]. Economic Geography, 2018,38(5):217-223. ] [ Liu D J. Spatial pattern and development model of tourist flow in urban agglomeration in the middle reaches of the Yangtze River[J]. Economic Geography, 2018,38(5):217-223. ]

[24] [24] 黄爱玲, 关伟, 毛保华, 等. 北京公交线路客流加权复杂网络特性分析[J]. 交通运输系统工程与信息, 2013,13(6):198-204. [ Huang AL, GuanW, Mao BH, et al. Statistical analysis of weighted complex network in Beijing public transit routes system based on passenger flow[J]. Journal of Transportation Systems Engineering and Information Technology, 2013,13(6):198-204. ] [ Huang A L, Guan W, Mao B H, et al. Statistical analysis of weighted complex network in Beijing public transit routes system based on passenger flow[J]. Journal of Transportation Systems Engineering and Information Technology, 2013,13(6):198-204. ]

[25] [25] 陈培文, 陈峰, 胡映月, 等. 基于复杂网络的城市轨道交通网络中心性研究[J]. 复杂系统与复杂性科学, 2017,14(2):97-102,109. [ Chen PW, ChenF, Hu YY, et al. On urban rail transit network centrality using complex network theory[J]. Complex Systems and Complexity Science, 2017,14(2):97-102,109. ] [ Chen P W, Chen F, Hu Y Y, et al. On urban rail transit network centrality using complex network theory[J]. Complex Systems and Complexity Science, 2017,14(2):97-102,109. ]

[26] [26] 冯佳, 许奇, 李夏苗, 等. 城市轨道交通系统网络复杂性研究[J]. 交通运输系统工程与信息, 2017,17(6):242-247. [ FengJ, XuQ, Li XM, et al. Complex Network Study on Urban Rail Transit Systems[J]. Journal of Transportation Systems Engineering and Information Technology, 2017,17(6):242-247. ] [ Feng J, Xu Q, Li X M, et al. Complex Network Study on Urban Rail Transit Systems[J]. Journal of Transportation Systems Engineering and Information Technology, 2017,17(6):242-247. ]

[27] [27] 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. ]

[28] et alWeighted complex network analysis of the Beijing subway system: Train and passenger flows[J]. Physica A: Statistical Mechanics and its Applications, 474, 213-223(2017).

[29] . Complex transport network: Structure, process & mechanism(2012).

[30] [30] 吴建军, 高自友, 孙会君, 等. 城市交通系统复杂性——复杂网络方法及其应用[M]. 北京: 科学出版社, 2010. [ Wu JJ, Gao ZY, Sun HJ, et al.Complexity of urban traffic system--complex network method and its application[M]. Beijing, China: Science Press, 2010. ] [ Wu J J, Gao Z Y, Sun H J, et al. Complexity of urban traffic system complex network method and its application[M]. Beijing, China: Science Press, 2010. ]

[31] [31] 王静, 刘剑锋, 马毅林, 等. 北京市轨道交通车站客流时空分布特征[J]. 城市交通, 2013,11(6):18-27. [ WangJ, Liu JianF, Ma YL, et al. Temporal and spatial passenger flow distribution characteristics at rail transit stations in Beijing[J]. Urban Transport of China, 2013,11(6):18-27. ] [ Wang J, Liu Jian F, Ma Y L, et al. Temporal and spatial passenger flow distribution characteristics at rail transit stations in Beijing[J]. Urban Transport of China, 2013,11(6):18-27. ]

[32] et alStation-based average travel distance and its relationship with urban form and land use: An analysis of smart card data in Nanjing City, China[J]. Transport Policy, 79, 137-154(2019).

[33] et alIdentifying public transport gaps using time-dependent accessibility levels[J]. Journal of Transport Geography, 48, 176-187(2015).

[34] Daily fluctuations in transit and job availability: A comparative assessment of time-sensitive accessibility measures[J]. Journal of Transport Geography, 52, 73-81(2016).

[35] [35] 王成金. 中国交通流的衰减函数模拟及特征[J]. 地理科学进展, 2009,28(5):690-696. [ Wang CJ. Function simulation and regularity of distance decay of inter-urban traffic flow in China[J]. Progress in Geography, 2009,28(5):690-696. ] [ Wang C J. Function simulation and regularity of distance decay of inter-urban traffic flow in China[J]. Progress in Geography, 2009,28(5):690-696. ]

[36] [36] 陈卓, 金凤君, 杨宇, 等. 高速公路流的距离衰减模式与空间分异特征——基于福建省高速公路收费站数据的实证研究[J]. 地理科学进展, 2018,37(8):1086-1095. [ ChenZ, Jin FJ, YangY, et al. Distance-decay pattern and spatial differentiation of expressway flow: An empirical study using data of expressway toll station in Fujian Province[J]. Progress in Geography, 2018,37(8):1086-1095. ] [ Chen Z, Jin F J, Yang Y, et al. Distance-decay pattern and spatial differentiation of expressway flow: An empirical study using data of expressway toll station in Fujian Province[J]. Progress in Geography, 2018,37(8):1086-1095. ]