{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:05:49Z","timestamp":1760241949969,"version":"build-2065373602"},"reference-count":100,"publisher":"MDPI AG","issue":"10","license":[{"start":{"date-parts":[[2018,10,20]],"date-time":"2018-10-20T00:00:00Z","timestamp":1539993600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"The key project of Shanghai Science and Technology Commission","award":["17511106802"],"award-info":[{"award-number":["17511106802"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61711530245"],"award-info":[{"award-number":["61711530245"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>With rapid advancement in location-based services (LBS), their acquisition has become a powerful tool to link people with similar interests across long distances, as well as connecting family and friends. To observe human behavior towards using social media, it is essential to understand and measure the check-in behavior towards a location-based social network (LBSN). This check-in phenomenon of sharing location, activities, and time by users has encouraged this research on the frequency of using an LBSN. In this paper, we investigate the check-in behavior of several million individuals, for whom we observe the gender and their frequency of using Chinese microblog Sina Weibo (referred as \u201cWeibo\u201d) over a period in Shanghai, China. To produce a smooth density surface of check-ins, we analyze the overall spatial patterns by using the kernel density estimation (KDE) by using ArcGIS. Furthermore, our results reveal that female users are more inclined towards using social media, and a difference in check-in behavior during weekday and weekend is also observed. From the results, LBSN data seems to be a complement to traditional methods (i.e., survey, census) and is used to study gender-based check-in behavior.<\/jats:p>","DOI":"10.3390\/info9100257","type":"journal-article","created":{"date-parts":[[2018,10,23]],"date-time":"2018-10-23T08:43:36Z","timestamp":1540284216000},"page":"257","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Big Data Analysis to Observe Check-in Behavior Using Location-Based Social Media Data"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8903-5426","authenticated-orcid":false,"given":"Muhammad","family":"Rizwan","sequence":"first","affiliation":[{"name":"School of Communication &amp; Information Engineering, Shanghai University, Shanghai, 200444, China"},{"name":"Institute of Smart City, Shanghai University, Shanghai, 200444, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wanggen","family":"Wan","sequence":"additional","affiliation":[{"name":"School of Communication &amp; Information Engineering, Shanghai University, Shanghai, 200444, China"},{"name":"Institute of Smart City, Shanghai University, Shanghai, 200444, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2018,10,20]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1093\/jeg\/1.1.27","article-title":"Consumer city","volume":"1","author":"Glaeser","year":"2001","journal-title":"J. Econ. Geogr."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1111\/j.1467-9787.1987.tb01143.x","article-title":"The determinants of county growth","volume":"27","author":"Carlino","year":"1987","journal-title":"J. Reg. Sci."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1007\/s11116-007-9153-5","article-title":"Role of the built environment on mode choice decisions: Additional evidence on the impact of density","volume":"35","author":"Chen","year":"2008","journal-title":"Transportation"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"769","DOI":"10.1126\/science.1151419","article-title":"The size, scale, and shape of cities","volume":"319","author":"Batty","year":"2008","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"4","DOI":"10.5751\/ES-01754-110204","article-title":"Integrating traditional and evolutionary knowledge in biodiversity conservation: A population level case study","volume":"11","author":"Fraser","year":"2006","journal-title":"Ecol. Soc."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"78","DOI":"10.4018\/jegr.2012070105","article-title":"Participative public policy making through multiple social media platforms utilization","volume":"8","author":"Charalabidis","year":"2012","journal-title":"Int. J. Electron. Government Res."},{"key":"ref_7","first-page":"210","article-title":"Social network sites: Definition, history, and scholarship","volume":"13","author":"Boyd","year":"2007","journal-title":"J. Comput. Commun."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Symeonidis, P., Ntempos, D., and Manolopoulos, Y. (2014). Location-based social networks. Recommender Systems for Location-Based Social Networks, Springer.","DOI":"10.1007\/978-1-4939-0286-6"},{"key":"ref_9","first-page":"1","article-title":"Synthesis Lectures on Data Mining and Knowledge Discovery","volume":"Volume 7","author":"Han","year":"2015","journal-title":"Mining Human Mobility in Location-Based Social Networks"},{"key":"ref_10","unstructured":"(2018, August 30). Facebook. Available online: https:\/\/www.facebook.com\/."},{"key":"ref_11","unstructured":"(2018, August 30). Twitter. Available online: https:\/\/twitter.com\/."},{"key":"ref_12","unstructured":"(2018, August 30). Weibo. Available online: http:\/\/www.weibo.com."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Lu, E.H.-C., Chen, C.-Y., and Tseng, V.S. (2012, January 6\u20139). Personalized trip recommendation with multiple constraints by mining user check-in behaviors. Proceedings of the 20th International Conference on Advances in Geographic Information Systems, Redondo Beach, CA, USA.","DOI":"10.1145\/2424321.2424349"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"122","DOI":"10.1108\/LR-06-2015-0061","article-title":"A formal definition of Big Data based on its essential features","volume":"65","author":"Greco","year":"2016","journal-title":"Library Review"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"576","DOI":"10.1016\/j.chb.2016.04.032","article-title":"Exploring extreme events on social media: A comparison of user reposting\/retweeting behaviors on Twitter and Weibo","volume":"65","author":"Lin","year":"2016","journal-title":"Comput. Hum. Behav."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1007\/s10878-013-9674-0","article-title":"A short-term trend prediction model of topic over Sina Weibo dataset","volume":"28","author":"Zhao","year":"2014","journal-title":"J. Comb. Optim."},{"key":"ref_17","unstructured":"Chen, Z., Liu, P., Wang, X., and Gu, Y. (arXiv, 2012). Follow whom? Chinese users have different choice, arXiv."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"449","DOI":"10.1007\/s10708-014-9602-6","article-title":"Data-driven geography","volume":"80","author":"Miller","year":"2015","journal-title":"GeoJournal"},{"key":"ref_19","first-page":"59","article-title":"Social Media Participation in Urban Planning: A New way to Interact and Take Decisions","volume":"42","year":"2017","journal-title":"Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"319","DOI":"10.1016\/j.giq.2013.10.003","article-title":"Government innovation through social media","volume":"30","author":"Criado","year":"2013","journal-title":"Government Inf. Q."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"S106","DOI":"10.1016\/j.giq.2014.01.011","article-title":"Innovation through social media in the public sector: Information and interactions","volume":"31","author":"Zheng","year":"2014","journal-title":"Government Inf. Q."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1016\/j.giq.2013.05.014","article-title":"The use of twitter by mayors in Turkey: Tweets for better public services?","volume":"30","author":"Sobaci","year":"2013","journal-title":"Government Inf. Q."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"232","DOI":"10.1016\/j.pubrev.2013.02.009","article-title":"Using social media to engage citizens: A study of Italian municipalities","volume":"39","author":"Agostino","year":"2013","journal-title":"Public Relat. Rev."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1016\/j.pubrev.2015.02.001","article-title":"The role of social media in local government crisis communications","volume":"41","author":"Graham","year":"2015","journal-title":"Public Relat. Rev."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1016\/j.giq.2017.04.001","article-title":"Use of social media for e-Government in the public health sector: A systematic review of published studies","volume":"34","author":"Tursunbayeva","year":"2017","journal-title":"Government Inf. Q."},{"key":"ref_26","unstructured":"Sabrina (2018, August 22). Sina Weibo User Demographics Analysis in 2013. Available online: https:\/\/www.chinainternetwatch.com\/5568\/what-weibo-can-tell-you-about-chinese-netizens-part-1\/."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1321","DOI":"10.1002\/asi.20835","article-title":"Social networks, gender, and friending: An analysis of MySpace member profiles","volume":"59","author":"Thelwall","year":"2008","journal-title":"J. Am. Soc. Inf. Sci. Technol."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Reed, P.J., Khan, M.R., and Blumenstock, J. (2016, January 3\u20136). Observing gender dynamics and disparities with mobile phone metadata. Proceedings of the Eighth International Conference on Information and Communication Technologies and Development, Ann Arbor, MI, USA.","DOI":"10.1145\/2909609.2909632"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Kung, K.S., Greco, K., Sobolevsky, S., and Ratti, C. (2014). Exploring universal patterns in human home-work commuting from mobile phone data. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0096180"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"296","DOI":"10.1016\/j.comnet.2014.02.011","article-title":"Estimating human trajectories and hotspots through mobile phone data","volume":"64","author":"Hoteit","year":"2014","journal-title":"Comput. Netw."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1177\/0002716215570007","article-title":"From big data to knowledge in the social sciences","volume":"659","author":"Hesse","year":"2015","journal-title":"Ann. Am. Acad. Political Soc. Sci."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1108\/ITP-10-2014-0232","article-title":"Information disclosure of social media users: Does control over personal information, user awareness and security notices matter?","volume":"28","author":"Benson","year":"2015","journal-title":"Inf. Technol. People"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Strater, K., and Richter, H. (2007, January 18\u201320). Examining privacy and disclosure in a social networking community. Proceedings of the 3rd Symposium on Usable Privacy and Security, Pittsburgh, PA, USA.","DOI":"10.1145\/1280680.1280706"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Stefanone, M.A., Huang, Y.C., and Lackaff, D. (2011, January 4\u20137). Negotiating Social Belonging: Online, Offline, and In-Between. Proceedings of the 44th Hawaii International Conference on System Science, Kauai, HI, USA.","DOI":"10.1109\/HICSS.2011.314"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Benevenuto, F., Rodrigues, T., Cha, M., and Almeida, V. (2009, January 4\u20136). Characterizing user behavior in online social networks. Proceedings of the 9th ACM SIGCOMM Conference on Internet Measurement, Chicago, IL, USA.","DOI":"10.1145\/1644893.1644900"},{"key":"ref_36","unstructured":"Scellato, S., Noulas, A., Lambiotte, R., and Mascolo, C. (2011, January 17\u201321). Socio-spatial properties of online location-based social networks. Proceedings of the Fifth International Conference on Weblogs and Social Media, Barcelona, Catalonia, Spain."},{"key":"ref_37","unstructured":"Noulas, A., Scellato, S., Mascolo, C., and Pontil, M. (2011, January 17\u201321). An empirical study of geographic user activity patterns in foursquare. Proceedings of the Fifth International AAAI Conference on Weblogs and Social Media, Barcelona, Spain."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1007\/s13524-013-0240-2","article-title":"Big microdata for population research","volume":"51","author":"Ruggles","year":"2014","journal-title":"Demography"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.chb.2014.12.038","article-title":"Personality and location-based social networks","volume":"46","author":"Chorley","year":"2015","journal-title":"Comput. Hum. Behav."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Maia, M., Almeida, J., and Almeida, V. (2008, January 1). Identifying user behavior in online social networks. Proceedings of the 1st Workshop on Social Network Systems, Glasgow, Scotland.","DOI":"10.1145\/1435497.1435498"},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Pucci, P., Manfredini, F., and Tagliolato, P. (2015). Mapping Urban Practices through Mobile Phone Data, Springer.","DOI":"10.1007\/978-3-319-14833-5"},{"key":"ref_42","first-page":"259","article-title":"Spatial analysis of location-based social networks in seoul, korea","volume":"7","author":"Hong","year":"2015","journal-title":"J. Geogr. Inf. Syst."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1109\/MCOM.2013.6588663","article-title":"Understanding user behavior in online social networks: A survey","volume":"51","author":"Jin","year":"2013","journal-title":"IEEE Commun. Mag."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"26","DOI":"10.1109\/MNET.2010.5578915","article-title":"Measuring user behavior in online social networks","volume":"24","author":"Gyarmati","year":"2010","journal-title":"IEEE netw."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Preo\u0163iuc-Pietro, D., and Cohn, T. (2013, January 2\u20134). Mining user behaviours: A study of check-in patterns in location based social networks. Proceedings of the 5th Annual ACM Web Science Conference, Paris, France.","DOI":"10.1145\/2464464.2464479"},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.cities.2016.03.013","article-title":"Urban function connectivity: Characterisation of functional urban streets with social media check-in data","volume":"55","author":"Shen","year":"2016","journal-title":"Cities"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Wu, C., Ye, X., Ren, F., Wan, Y., Ning, P., and Du, Q. (2016). Spatial and social media data analytics of housing prices in Shenzhen, China. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0164553"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1080\/10864415.2015.1029353","article-title":"Why people check in to social network sites","volume":"19","author":"Luarn","year":"2015","journal-title":"Int. J. Electron. Commer."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1177\/0894439313481424","article-title":"Showing Off? Human Mobility and the Interplay of Traits, Self-Disclosure, and Facebook Check-Ins","volume":"31","author":"Wang","year":"2013","journal-title":"Soc. Sci. Comput. Rev."},{"key":"ref_50","unstructured":"Smith, A. (2018, September 30). Why Americans Use Social Media. Available online: http:\/\/www.pewinternet.org\/2011\/11\/15\/why-americans-use-social-media\/."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1089\/cyber.2011.0615","article-title":"Motivations and usage patterns of Weibo","volume":"15","author":"Zhang","year":"2012","journal-title":"Cyberpsychol. Behav. Soc. Netw."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"624","DOI":"10.1016\/j.chb.2011.11.008","article-title":"Self-disclosure and student satisfaction with Facebook","volume":"28","year":"2012","journal-title":"Comput. Hum. Behav."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1080\/13527266.2013.841273","article-title":"A cross-national study of Twitter users\u2019 motivations and continuance intentions","volume":"22","author":"Pentina","year":"2016","journal-title":"J. Marketing Commun."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"1071","DOI":"10.1108\/MIP-01-2014-0014","article-title":"Developing a motivation-based segmentation typology of Facebook users","volume":"33","author":"Shao","year":"2015","journal-title":"Marketing Intell. Plann."},{"key":"ref_55","first-page":"548","article-title":"A Study on Use Motivation of SNS and Communication Behavior","volume":"13","author":"Kim","year":"2012","journal-title":"J. Korea Acad.-Ind. Cooper. Soc."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1016\/j.chb.2011.08.016","article-title":"Make new friends or keep the old: Gender and personality differences in social networking use","volume":"28","author":"Muscanell","year":"2012","journal-title":"Comput. Hum. Behav."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Chun, M.-h. (2012). The affective\/cognitive involvement and satisfaction according to the usage motivations of social network services. Manage. Inf. Syst. Rev., 31.","DOI":"10.29214\/damis.2012.31.2.002"},{"key":"ref_58","first-page":"1429","article-title":"Exploring gender differences in motivations for using sina weibo","volume":"10","author":"Hwang","year":"2016","journal-title":"KSII Trans. Internet Inf. Syst."},{"key":"ref_59","first-page":"2","article-title":"Who\u2019s calling? Demographics of mobile phone use in Rwanda","volume":"32","author":"Blumenstock","year":"2010","journal-title":"Transportation"},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Rizwan, M., Wanggen, W., Cervantes, O., and Gwiazdzinski, L. (2018). Using Location-Based Social Media Data to Observe Check-In Behavior and Gender Difference: Bringing Weibo Data into Play. ISPRS Int. J. Geo-Inf., 7.","DOI":"10.3390\/ijgi7050196"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Rizwan, M., Mahmood, S., Wanggen, W., and Ali, S. (2017, January 5\u20136). Location based social media data analysis for observing check-in behavior and city rhythm in Shanghai. Proceedings of the 4th International Conference on Smart and Sustainable City (ICSSC 2017), Shanghai, China.","DOI":"10.1049\/cp.2017.0107"},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Lei, C., Zhang, A., Qi, Q., Su, H., and Wang, J. (2018). Spatial-Temporal Analysis of Human Dynamics on Urban Land Use Patterns Using Social Media Data by Gender. ISPRS Int. J. Geo-Inf., 7.","DOI":"10.3390\/ijgi7090358"},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Zheng, Y., Zhang, L., Xie, X., and Ma, W.-Y. (2009, January 4\u20136). Mining correlation between locations using human location history. Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Seattle, WA, USA.","DOI":"10.1145\/1653771.1653847"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1016\/j.pmcj.2016.06.005","article-title":"Mining human mobility patterns from social geo-tagged data","volume":"33","author":"Comito","year":"2016","journal-title":"Pervasive Mob. Comput."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"763","DOI":"10.1177\/1461444809349578","article-title":"Mobile social networks and urban public space","volume":"12","author":"Humphreys","year":"2010","journal-title":"New Media Soc."},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1177\/0309132513517365","article-title":"Geographic Information Science I: Why does a smart city need to be spatially enabled?","volume":"38","author":"Roche","year":"2014","journal-title":"Prog. Hum. Geogr."},{"key":"ref_67","first-page":"178","article-title":"Urban Planning and Smart Cities: Interrelations and Reciprocities","volume":"Volume 7281","author":"Cleary","year":"2012","journal-title":"The Future Internet. FIA 2012. Lecture Notes in Computer Science"},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.uclim.2012.10.008","article-title":"Urbanization and its environmental effects in Shanghai, China","volume":"2","author":"Cui","year":"2012","journal-title":"Urban Clim."},{"key":"ref_69","unstructured":"Han, B., Cook, P., and Baldwin, T. (, January December). Geolocation prediction in social media data by finding location indicative words. Proceedings of the COLING 2012, Mumbai, India."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1108\/IntR-06-2013-0115","article-title":"The power of prediction with social media","volume":"23","author":"Schoen","year":"2013","journal-title":"Internet Res."},{"key":"ref_71","doi-asserted-by":"crossref","unstructured":"Backstrom, L., Sun, E., and Marlow, C. (2010, January 26\u201330). Find me if you can: Improving geographical prediction with social and spatial proximity. Proceedings of the 19th International Conference on World Wide Web, Raleigh, CA, USA.","DOI":"10.1145\/1772690.1772698"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"1512","DOI":"10.3390\/ijgi4031512","article-title":"Investigation of travel and activity patterns using location-based social network data: A case study of active mobile social media users","volume":"4","author":"Sun","year":"2015","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Gu, Z., Zhang, Y., Chen, Y., and Chang, X. (2016). Analysis of attraction features of tourism destinations in a mega-city based on check-in data mining\u2014A case study of ShenZhen, China. ISPRS Int. J. Geo-Inf., 5.","DOI":"10.3390\/ijgi5110210"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MIS.2012.6","article-title":"Using social media to enhance emergency situation awareness","volume":"27","author":"Yin","year":"2012","journal-title":"IEEE Intell. Syst."},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"6","DOI":"10.1016\/j.ijinfomgt.2010.10.001","article-title":"Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake","volume":"31","author":"Yates","year":"2011","journal-title":"Int. J. Inf. Manage."},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"Thakuriah, P., Tilahun, N., and Zellner, M. (2017). Using Social Media and Satellite Data for Damage Assessment in Urban Areas During Emergencies. Seeing Cities through Big Data, Springer.","DOI":"10.1007\/978-3-319-40902-3"},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Wang, Y., Wang, T., Ye, X., Zhu, J., and Lee, J. (2015). Using social media for emergency response and urban sustainability: A case study of the 2012 Beijing rainstorm. Sustainability, 8.","DOI":"10.3390\/su8010025"},{"key":"ref_78","unstructured":"Vikat, A., and Jones, C. (2014). Indicators of Gender Equality, UNECE."},{"key":"ref_79","unstructured":"O\u2019Dorchai, S., Meulders, D., Crippa, F., and Margherita, A. (2009). She Figures 2009\u2013Statistics and Indicators on Gender Equality in Science, Publications Office of the European Union."},{"key":"ref_80","doi-asserted-by":"crossref","unstructured":"Li, J., Fang, W., Wang, T., Qureshi, S., Alatalo, J.M., and Bai, Y. (2017). Correlations between Socioeconomic Drivers and Indicators of Urban Expansion: Evidence from the Heavily Urbanised Shanghai Metropolitan Area, China. Sustainability, 9.","DOI":"10.3390\/su9071199"},{"key":"ref_81","unstructured":"Guo, R. (2013). Regional China: A Business and Economic Handbook by Rongxing Guo, Palgrave Macmillan UK."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.ufug.2017.08.006","article-title":"Spatial accessibility of country parks in Shanghai, China","volume":"27","author":"Gu","year":"2017","journal-title":"Urban For. Urban Greening"},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Xiong, X., Jin, C., Chen, H., and Luo, L. (2016). Using the Fusion Proximal Area Method and Gravity Method to Identify Areas with Physician Shortages. PLoS ONE, 11.","DOI":"10.1371\/journal.pone.0163504"},{"key":"ref_84","doi-asserted-by":"crossref","unstructured":"Shen, J., and Kee, G. (2017). Shanghai: Urban Development and Regional Integration Through Mega Projects. Development and Planning in Seven Major Coastal Cities in Southern and Eastern China, Springer.","DOI":"10.1007\/978-3-319-46421-3"},{"key":"ref_85","doi-asserted-by":"crossref","unstructured":"Shen, J., and Kee, G. (2016). Development and Planning in Seven Major Coastal Cities in Southern and Eastern China, Springer.","DOI":"10.1007\/978-3-319-46421-3"},{"key":"ref_86","unstructured":"(2018, July 30). Python. Available online: https:\/\/www.python.org\/."},{"key":"ref_87","unstructured":"(2018, August 30). Weibo API. Available online: http:\/\/open.weibo.com\/wiki\/API."},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Fernandes, R., and D\u2019Souza, R. (2016, January 16\u201318). Analysis of product Twitter data though opinion mining. Proceedings of the 2016 IEEE Annual India Conference (INDICON), Bangalore, India.","DOI":"10.1109\/INDICON.2016.7839025"},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1007\/s00146-014-0549-4","article-title":"Social media analytics: A survey of techniques, tools and platforms","volume":"30","author":"Batrinca","year":"2015","journal-title":"AI Soc."},{"key":"ref_90","doi-asserted-by":"crossref","unstructured":"Lichman, M., and Smyth, P. (2014, January 24\u201327). Modeling human location data with mixtures of kernel densities. Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, New York, NY, USA.","DOI":"10.1145\/2623330.2623681"},{"key":"ref_91","unstructured":"Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis, CRC press."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"e008878","DOI":"10.1136\/bmjopen-2015-008878","article-title":"Using kernel density estimation to understand the influence of neighbourhood destinations on BMI","volume":"6","author":"King","year":"2016","journal-title":"BMJ Open"},{"key":"ref_93","doi-asserted-by":"crossref","unstructured":"Hasan, S., Zhan, X., and Ukkusuri, S.V. (2013, January 11). Understanding urban human activity and mobility patterns using large-scale location-based data from online social media. Proceedings of the 2nd ACM SIGKDD International Workshop on Urban Computing, Chicago, IL, USA.","DOI":"10.1145\/2505821.2505823"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1080\/15230406.2013.777139","article-title":"Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr","volume":"40","author":"Li","year":"2013","journal-title":"Cartogr. Geog. Inf. Sci."},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"480","DOI":"10.1177\/0265813515617642","article-title":"Identifying the city center using human travel flows generated from location-based social networking data","volume":"43","author":"Sun","year":"2016","journal-title":"Environ. Plann. B Plann. Des."},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"712","DOI":"10.1109\/TKDE.2014.2345405","article-title":"Discovering urban functional zones using latent activity trajectories","volume":"27","author":"Yuan","year":"2015","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Li, H., Ge, Y., Hong, R., and Zhu, H. (2016, January 13\u201317). Point-of-interest recommendations: Learning potential check-ins from friends. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Francisco, CA, USA.","DOI":"10.1145\/2939672.2939767"},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"396","DOI":"10.1016\/j.compenvurbsys.2008.05.001","article-title":"Kernel density estimation of traffic accidents in a network space","volume":"32","author":"Xie","year":"2008","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1016\/j.procir.2018.01.015","article-title":"An Evaluation Method for Spatial Distribution Uniformity of Plane Form Error for Precision Assembly","volume":"76","author":"Zhang","year":"2007","journal-title":"Procedia CIRP"},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"358","DOI":"10.1177\/1078087414552457","article-title":"Are they well situated? Spatial analysis of privately owned public space, Manhattan, New York City","volume":"51","author":"Yoon","year":"2015","journal-title":"Urban Affairs Rev."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/9\/10\/257\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:26:52Z","timestamp":1760196412000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/9\/10\/257"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,20]]},"references-count":100,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2018,10]]}},"alternative-id":["info9100257"],"URL":"https:\/\/doi.org\/10.3390\/info9100257","relation":{},"ISSN":["2078-2489"],"issn-type":[{"type":"electronic","value":"2078-2489"}],"subject":[],"published":{"date-parts":[[2018,10,20]]}}}