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旅游导刊 ›› 2021, Vol. 5 ›› Issue (4): 37-57.DOI: 10.12054/lydk.bisu.182
收稿日期:
2020-04-20
修回日期:
2021-05-30
出版日期:
2021-08-30
发布日期:
2021-08-27
作者简介:
郑伟民(1987— ),男,福建漳州人,博士,厦门大学管理学院副教授,博士生导师,研究方向:智慧旅游、旅游大数据与旅游信息化。E-mail: 基金资助:
ZHENG Weimin(),LI Mengling,ZHUANG Xinyi,GAO Shengnan
Received:
2020-04-20
Revised:
2021-05-30
Online:
2021-08-30
Published:
2021-08-27
摘要:
手机基站定位数据凭借其普适性和时空广泛性等优势获得越来越多学者的关注。为系统梳理手机基站定位数据在旅游领域的研究现状并评估其应用潜力,本文在全面回顾现有文献基础上:(1)对手机基站数据的概念及分类、特点,以及研究过程进行介绍;(2)从游客识别和分类、旅游统计、旅游流分析、游客行为研究及旅游活动影响等5个主题总结现有研究;(3)从时间维度、空间维度及研究对象/内容3个方面评述现有研究。最后,本文结合手机基站定位数据热门应用领域的研究状况,讨论其在旅游领域存在的不足,并提出未来研究建议。
中图分类号:
郑伟民,李梦玲,庄歆怡,高胜男. 手机基站定位数据在旅游领域的应用综述[J]. 旅游导刊, 2021, 5(4): 37-57.
ZHENG Weimin,LI Mengling,ZHUANG Xinyi,GAO Shengnan. A Review on the Application of Mobile Phone Positioning Data in Tourism[J]. Tourism and Hospitality Prospects, 2021, 5(4): 37-57.
类别 (Category) 项目 (Item) | 基站定位 Base Station Positioning | 内置GPS Built-in GPS | 蓝牙 Bluetooth | 无线网络 Wi-Fi |
---|---|---|---|---|
时间尺度 | 几小时~几年 | 仅使用功能时 几小时~几天 | 仅使用功能时 几天~十几天 | 仅使用功能时 几天~几个月 |
空间尺度 | 中、宏观 | 微、中观 | 微观 | 微观 |
样本量 | 规模大 | 规模较小 | 受人流密度影响 | 受人流密度影响 |
精度 | 几十米~几千米 | 几米~十几米 | 几米~几十米 | 几米~几十米 |
电源能耗 | 低 | 高 | 较高 | 较高 |
数据获取 | 运营商打包 | 相关移动应用程序后台 | 蓝牙传感器后端服务器 | Wi-Fi设备后台接口 |
限制 | 受基站密度影响(城乡差异大) | 受天气和位置影响大 | 需外部配备蓝牙传感器、设备成本高 | 需外部配备Wi-Fi基站 |
表1 手机定位数据各类型对比
Tab.1 Comparison of different types of mobile phone positioning data
类别 (Category) 项目 (Item) | 基站定位 Base Station Positioning | 内置GPS Built-in GPS | 蓝牙 Bluetooth | 无线网络 Wi-Fi |
---|---|---|---|---|
时间尺度 | 几小时~几年 | 仅使用功能时 几小时~几天 | 仅使用功能时 几天~十几天 | 仅使用功能时 几天~几个月 |
空间尺度 | 中、宏观 | 微、中观 | 微观 | 微观 |
样本量 | 规模大 | 规模较小 | 受人流密度影响 | 受人流密度影响 |
精度 | 几十米~几千米 | 几米~十几米 | 几米~几十米 | 几米~几十米 |
电源能耗 | 低 | 高 | 较高 | 较高 |
数据获取 | 运营商打包 | 相关移动应用程序后台 | 蓝牙传感器后端服务器 | Wi-Fi设备后台接口 |
限制 | 受基站密度影响(城乡差异大) | 受天气和位置影响大 | 需外部配备蓝牙传感器、设备成本高 | 需外部配备Wi-Fi基站 |
[1] | Ahas R, Aasa A, Mark Ü, et al. Seasonal tourism spaces in Estonia:Case study with mobile positioning data[J]. Tourism Management, 2007, 28(3):898~910. |
[2] | Ahas R, Aasa A, Roose A, et al. Evaluating passive mobile positioning data for tourism surveys:An Estonian case study[J]. Tourism Management, 2008, 29(3):469~486. |
[3] | Ahas R, Mark Ü. Location based services—New challenges for planning and public administration?[J]. Futures, 2005, 37(6):547~561. |
[4] | Amini A, Kung K, Kang C G, et al. The impact of social segregation on human mobility in developing and industrialized regions[J]. EPJ Data Science, 2014, 3(1):6. |
[5] | Asakura Y, Hato E. Behavioral monitoring of public transport users through a mobile communication system[J]. Journal of Advanced Transportation, 2001, 35(3):289~304. |
[6] | Baggio R, Scaglione M. Strategic visitor flows and destination management organization[J]. Information Technology & Tourism, 2018, 18(1):29~42. |
[7] | Bao Y, Xiao F, Gao Z H, et al. Investigation of the traffic congestion during public holiday and the impact of the toll-exemption policy[J]. Transportation Research Part B:Methodological, 2017(104):58~81. |
[8] | Batista e Silva F, Marín Herrera M A, Rosina K, et al. Analysing spatiotemporal patterns of tourism in Europe at high-resolution with conventional and big data sources[J]. Tourism Management, 2018(68):101~115. |
[9] | Beaman J G, Huan T C, Beaman J P. Tourism surveys:Sample size,accuracy,reliability,and acceptable error[J]. Journal of Travel Research, 2004, 43(1):67~74. |
[10] | Birenboim A, Shoval N. Mobility research in the age of the smartphone[J]. Annals of the American Association of Geographers, 2016, 106(2):283~291. |
[11] | Blondel V D, Esch M, Chan C, et al. Data for development: The D4D challenge on mobile phone data[EB/OL]. , 2013-01-28. |
[12] | Bowden J. A cross-national analysis of international tourist flows in China[J]. Tourism Geographies, 2003, 5(3):257~279. |
[13] | Bucci G, Morton T. Cell phone data and travel behavior research:Symposium summary report[EB/OL]. , 2014-11-26. |
[14] | Caceres N, Romero L M, Benitez F G. Exploring strengths and weaknesses of mobility inference from mobile phone data vs. travel surveys[J]. Transportmetrica A:Transport Science, 2020, 16(3):574~601. |
[15] | Caldeira A M, Kastenholz E. Spatiotemporal tourist behaviour in urban destinations:A framework of analysis[J]. Tourism Geographies, 2020, 22(1):22~50. |
[16] | Cass N, Faulconbridge J. Satisfying everyday mobility[J]. Mobilities, 2017, 12(1):97~115. |
[17] | Chantre-Astaiza A, Fuentes-Moraleda L, Muñoz-Mazón A, et al. Science mapping of tourist mobility 1980-2019. Technological advancements in the collection of the data for tourist traceability[J]. Sustainability, 2019, 11(17):4738. |
[18] | Chen C M, Jyan H W, Chien S C, et al. Containing COVID-19 among 627,386 persons in contact with the Diamond Princess Cruise Ship passengers who disembarked in Taiwan:Big data analytics[J]. Journal of Medical Internet Research, 2020, 22(5):e19540. |
[19] | Chen N C, Xie J, Tinn P, et al. Data mining tourism patterns. Call detail records as complementary tools for urban decision making[C]//Proceedings of the 22nd International Conference on Computer-Aided Architectural Design Research in Asia. Hongkong,China:CAADRIA, 2017:685~694. |
[20] | Cheng P, Qiu Z J, Ran B. Particle filter based traffic state estimation using cell phone network data[C]//Proceedings of 2006 IEEE Intelligent Transportation Systems Conference. Toronto,Canada:IEEE, 2006:1047~1052. |
[21] | Chung E, Kuwahara M. Mapping personal trip OD from probe data[J]. International Journal of Intelligent Transportation Systems Research, 2007, 5(1):1~6. |
[22] | De Cantis S, Parroco A M, Ferrante M, et al. Unobserved tourism[J]. Annals of Tourism Research, 2015(50):1~18. |
[23] | de Dios Ortúzar J, Willumsen L G. Modelling Transport[M]. 4th ed. New York:John Wiley & Sons,Ltd., 2011. |
[24] | Deville P, Linard C, Martin S, et al. Dynamic population mapping using mobile phone data[J]. Proceedings of the National Academy of Sciences of the United States of America, 2014, 111(45):15888~15893. |
[25] | Dougherty K D. How monochromatic is church membership? Racial-ethnic diversity in religious community[J]. Sociology of Religion, 2003, 64(1):65~85. |
[26] | Fourie J, Santana-Gallego M. The impact of mega-sport events on tourist arrivals[J]. Tourism Management, 2011, 32(6):1364~1370. |
[27] | Hernández-Lobato L, Solis-Radilla M M, Moliner-Tena M A, et al. Tourism destination image,satisfaction and loyalty:A study in Ixtapa-Zihuatanejo,Mexico[J]. Tourism Geographies, 2006, 8(4):343~358. |
[28] | Hinch T, Holt N L. Sustaining places and participatory sport tourism events[J]. Journal of Sustainable Tourism, 2017, 25(8):1084~1099. |
[29] | Hu H W, Zhu X N, Hu Z, et al. Discovering transportation mode of tourists using low-sampling-rate trajectory of cellular data[C]//Proceedings of the 2018 5th International Conference on Systems and Informatics. Nanjing,China:IEEE, 2018:1120~1125. |
[30] | Isaacman S, Becker R, Cáceres R, et al. A tale of two cities[C]//Proceedings of the 11th Workshop on Mobile Computing Systems & Applications. Annapolis,Maryland,USA:ACM, 2010:19~24. |
[31] | Jia F J, Cheng X Y, Duan Z Y. Analyzing the activity areas of non-resident tourists of Shanghai Expo using cellular phone data[J]. Procedia-Social and Behavioral Sciences, 2013(96):1136~1145. |
[32] | Jia J S, Lu X, Yuan Y, et al. Population flow drives spatio-temporal distribution of COVID-19 in China[J]. Nature, 2020, 582(7812):389~394. |
[33] | Kuusik A, Nilbe K, Mehine T, et al. Country as a free sample:The ability of tourism events to generate repeat visits. Case study with mobile positioning data in Estonia[J]. Procedia-Social and Behavioral Sciences, 2014(148):262~270. |
[34] | Kuusik A, Tiru M, Ahas R, et al. Innovation in destination marketing:The use of passive mobile positioning for the segmentation of repeat visitors in Estonia[J]. Baltic Journal of Management, 2011, 6(3):378~399. |
[35] | Leung X Y, Wang F, Wu B H, et al. A social network analysis of overseas tourist movement patterns in Beijing:The impact of the Olympic Games[J]. International Journal of Tourism Research, 2012, 14(5):469~484. |
[36] | Li J J, Xu L Z, Tang L, et al. Big data in tourism research:A literature review[J]. Tourism Management, 2018(68):301~323. |
[37] | Liao C, Brown D, Fei D, et al. Big data-enabled social sensing in spatial analysis:Potentials and pitfalls[J]. Transactions in GIS, 2018, 22(6):1351~1371. |
[38] | Liu J Z, Li J, Li W F, et al. Rethinking big data:A review on the data quality and usage issues[J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2016(115):134~142. |
[39] | Lu D D, Zhong Y D. A tourist flows analysis system based on phone big data[C]//Procedings of 2016 IEEE International Conference on Big Data Analysis. Hangzhou,China:IEEE, 2016:1~5. |
[40] | Mamei M, Colonna M. Analysis of tourist classification from cellular network data[J]. Journal of Location Based Services, 2018, 12(1):19~39. |
[41] | Masso A, Silm S, Ahas R. Generational differences in spatial mobility:A study with mobile phone data[J]. Population,Space and Place, 2019, 25(2):e2210. |
[42] | Mohammad B A A. Festival tourism in Saudi Arabia:A study of image and motivation of participating in Janadriyah Festival[J]. American Journal of Tourism Management, 2014, 3(2):45~54. |
[43] | Nilbe K, Ahas R, Silm S. Evaluating the travel distances of events visitors and regular visitors using mobile positioning data:The case of Estonia[J]. Journal of Urban Technology, 2014, 21(2):91~107. |
[44] | Nour A, Hellinga B, Casello J. Classification of automobile and transit trips from Smartphone data:Enhancing accuracy using spatial statistics and GIS[J]. Journal of Transport Geography, 2016(51):36~44. |
[45] | Park S Y, Pan B. Identifying the next non-stop flying market with a big data approach[J]. Tourism Management, 2018(66):411~421. |
[46] | Peak C M, Wesolowski A, zu Erbach-Schoenberg E, et al. Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone:Use of mobile phone data[J]. International Journal of Epidemiology, 2018, 47(5):1562~1570. |
[47] | Qin S Y, Man J, Wang X Z, et al. Applying big data analytics to monitor tourist flow for the scenic area operation management[J]. Discrete Dynamics in Nature and Society, 2019(2019):8239047. |
[48] | Ratti C, Frenchman D, Pulselli R M, et al. Mobile landscapes:Using location data from cell phones for urban analysis[J]. Environment and Planning B:Planning and Design, 2006, 33(5):727~748. |
[49] | Raun J K, Ahas R, Tiru M. Measuring tourism destinations using mobile tracking data[J]. Tourism Management, 2016(57):202~212. |
[50] | Saluveer E, Raun J K, Tiru M, et al. Methodological framework for producing national tourism statistics from mobile positioning data[J]. Annals of Tourism Research, 2020(81):102895. |
[51] | Setiadi Y, Uluwiyah A. Improving data quality through big data:Case study on big data-mobile positioning data in Indonesia tourism statistics[C]//Proceedings of 2017 International Workshop on Big Data and Information Security. Jakarta,Indonesia:IEEE, 2017:43~48. |
[52] | Shoval N, Ahas R. The use of tracking technologies in tourism research:The first decade[J]. Tourism Geographies, 2016, 18(5):587~606. |
[53] | Sikder R, Uddin M J, Halder S. An efficient approach of identifying tourist by call detail record analysis[C]//Proceedings of 2016 International Workshop on Computational Intelligence. Dhaka,Bangladesh:IEEE, 2016:136~141. |
[54] | Silm S, Ahas R. The seasonal variability of population in Estonian municipalities[J]. Environment and Planning A:Economy and Space, 2010, 42(10):2527~2546. |
[55] | Silm S, Ahas R. Ethnic differences in activity spaces:A study of out-of-home nonemployment activities with mobile phone data[J]. Annals of the Association of American Geographers, 2014, 104(3):542~559. |
[56] | Sterly H, Hennig B, Dongo K. “Calling abidjan”-improving population estimations with mobile communication data(IPEMCODA)[M]//Blondel V,de Cordes N,Decuyper A,et al. Mobile Phone Data for Development-Analysis of Mobile Phone Datasets for the Development of Ivory Coast. New York:Cornell University, 2013:108~114. |
[57] | Tiru M, Kuusik A, Lamp M L, et al. LBS in marketing and tourism management:Measuring destination loyalty with mobile positioning data[J]. Journal of Location Based Services, 2010, 4(2):120~140. |
[58] | Vanhoof M, Hendrickx L, Puussaar A, et al. Exploring the use of mobile phone data for domestic tourism trip analysis[J]. Netcom, 2017, 31(3-4):335~372. |
[59] | Wang Z Z, He S Y, Leung Y. Applying mobile phone data to travel behaviour research:A literature review[J]. Travel Behaviour and Society, 2018(11):141~155. |
[60] | Wu D D, Shi R X, Wang J C, et al.. Urban population distribution characteristics analysis method based on mobile phone data[C]//Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science. Atlantis Press, 2016. |
[61] | Yamamoto M. Comparing visitors’ behavior through mobile phone users’ location data[C]//Xu J P,Gen M,Hajiyev A,et al. Proceedings of the Eleventh International Conference on Management Science and Engineering Management. Cham,Springer, 2018:411~420. |
[62] | Yang X T, Zhao X, Liu Y Y, et al. Growth rate of visits for tourist attractions in response to large-scale events:Do destination attributes matter?[J]. Asia Pacific Journal of Tourism Research, 2020, 25(2):101~119. |
[63] | Zhang J. Big data and tourism geographies - an emerging paradigm for future study?[J]. Tourism Geographies, 2018, 20(5):899~904. |
[64] | Zhao X, Lu X N, Liu Y Y, et al. Tourist movement patterns understanding from the perspective of travel party size using mobile tracking data:A case study of Xi’an,China[J]. Tourism Management, 2018(69):368~383. |
[65] | Zhu X N, Sun T Y, Yuan H, et al. Exploring group movement pattern through cellular data:A case study of tourists in Hainan[J]. ISPRS International Journal of Geo-Information, 2019, 8(2):74. |
[66] | 保继刚, 楚义芳. 旅游地理学[M]. 3版. 北京: 高等教育出版社, 2012. |
[BAO Jigang, CHU Yifang. Geography of Towrism[M]. 3rd ed. Beijing: Higher Education Press, 2012.] | |
[67] | 保继刚, 王亚娟, 汤勇刚, 等. 大数据视角下的游客人数统计问题研究[J]. 旅游论坛, 2020, 13(1):1~12. |
[BAO Jigang, WANG Yajuan, TANG Yonggang, et al. Research on the statistical problem of visitor number from the big data perspective[J]. Tourism Forum, 2020, 13(1):1~12.] | |
[68] | 柴彦威, 赵莹, 马修军, 等. 基于移动定位的行为数据采集与地理应用研究[J]. 地域研究与开发, 2010, 29(6):1~7. |
[CHAI Yanwei, ZHAO Ying, MA Xiujun, et al. Mobile positioning method for spatial-temporal behavioral data collection and its geographical applications[J]. Areal Research and Development, 2010, 29(6):1~7.] | |
[69] | 陈圣威, 万红生, 宋逸, 等. 手机信令数据在游客流量监控方面的应用[J]. 旅游研究, 2020, 12(2):1~10. |
[CHEN Shengwei, WAN Hongsheng, SONG Yi, et al. Application of mobile signaling data in tourists flow monitoring[J]. Tourism Research, 2020, 12(2):1~10.] | |
[70] | 方家, 王德, 谢栋灿, 等. 上海顾村公园樱花节大客流特征及预警研究——基于手机信令数据的探索[J]. 城市规划, 2016, 40(6):43~51. |
[FANG Jia, WANG De, XIE Dongcan, et al. Research on dynamic change and early warning of large tourist flow based on mobile signal data analysis:A case study of Gucun Park Sakura Festival in Shanghai[J]. City Planning Review, 2016, 40(6):43~51.] | |
[71] | 顾秋实, 张海平, 陈旻, 等. 基于手机信令数据的南京市旅游客源地网络层级结构及区域分异研究[J]. 地理科学, 2019, 39(11):1739~1748. |
[GU Qiushi, ZHANG Haiping, CHEN Min, et al. Hierarchical network structures and regional differentiations of tourist source destinations of Nanjing based on cellular signaling data[J]. Scientia Geographica Sinica, 2019, 39(11):1739~1748.] | |
[72] | 郭旸, 胡雅静, 林玥. 基于手机信令和网络游记数据的游客时空行为分析——以上海迪士尼乐园外地游客为例[J]. 旅游论坛, 2020, 13(1):13~22. |
[GUO Yang, HU Yajing, LIN Yue. Analysis on tourist spatial-temporal behavior based on mobile phone signaling and travel network data:Evidences from Shanghai Disneyland[J]. Tourism Forum, 2020, 13(1):13~22.] | |
[73] | 黄潇婷, 柴彦威, 赵莹, 等. 手机移动数据作为新数据源在旅游者研究中的应用探析[J]. 旅游学刊, 2010, 25(8):39~45. |
[HUANG Xiaoting, CHAI Yanwei, ZHAO Ying, et al. On the application analysis of mobile data source in the study of tourists[J]. Tourism Tribune, 2010, 25(8):39~45.] | |
[74] | 钮心毅, 丁亮, 宋小冬. 基于手机数据识别上海中心城的城市空间结构[J]. 城市规划学刊, 2014(6):61~67. |
[NIU Xinyi, DING Liang, SONG Xiaodong. Understanding urban spatial structure of Shanghai central city based on mobile phone data[J]. Urban Planning Forum, 2014(6):61~67.] | |
[75] | 申卓, 王德. 基于手机信令数据的大型足球赛事球迷当日空间行为特征研究[J]. 人文地理, 2018, 33(3):34~43. |
[SHEN Zhuo, WANG De. A research on the spatial behavior characteristics of fans of large football matches based on cell phone signaling data[J]. Human Geography, 2018, 33(3):34~43.] | |
[76] | 徐菲菲, 王旭, 徐俐, 等. 基于手机信令数据的南京旅游客源市场空间划分研究[J]. 地理与地理信息科学, 2019, 35(4):70~75. |
[XU Feifei, WANG Xu, XU Li, et al. Identification and division of Nanjing tourist source market based on mobile phone signal data[J]. Geography and Geo-Information Science, 2019, 35(4):70~75.] | |
[77] | 袁雨果, 郑伟民. 追溯技术在旅游者移动行为研究的综述[J]. 旅游学刊, 2019, 34(2):48~59. |
[YUAN Yuguo, ZHENG Weimin. The use of tracking technologies in tourists’ mobility behavior research:A literature review[J]. Tourism Tribune, 2019, 34(2):48~59.] | |
[78] | 赵莹, 张朝枝, 金钰涵. 基于手机数据可靠性分析的旅游城市功能空间识别研究[J]. 人文地理, 2018, 33(3):137~144. |
[ZHAO Ying, ZHANG Chaozhi, JIN Yuhan. How reliable are cellular positioning data in tourism environments? An exploration of functional regions[J]. Human Geography, 2018, 33(3):137~144.] | |
[79] | 钟炜菁, 王德, 谢栋灿, 等. 上海市人口分布与空间活动的动态特征研究——基于手机信令数据的探索[J]. 地理研究, 2017, 36(5):972~984. |
[ZHONG Weijing, WANG De, XIE Dongcan, et al. Dynamic characteristics of Shanghai’s population distribution using cell phone signaling data[J]. Geographical Research, 2017, 36(5):972~984.] |
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