Reading the urban socio-spatial network through space syntax and geo-tagged Twitter data

References

• Ahmed,A., L.Hong, and A.J.Smola. 2013. “Hierarchical Geographical Modeling of User Locations from Social Media Posts.” Paper presented at the Proceedings of the 22nd international conference on World Wide Web, NewYork.
   Google Scholar
• Arribas-Bel,D. 2014. “Accidental, Open and Everywhere: Emerging Data Sources for the Understanding of Cities.” Applied Geography 49: 45–53. doi:10.1016/j.apgeog.2013.09.012.
   Web of Science ®Google Scholar
• Bafna,S. 2003. “Space Syntax: ABrief Introduction to Its Logic and Analytical Techniques.” Environment and Behavior 35 (1): 17–29. doi:10.1177/0013916502238863.
   Web of Science ®Google Scholar
• Baran,P.K., D.A.Rodríguez, and A.J.Khattak. 2008. “Space Syntax and Walking in aNew Urbanist and Suburban Neighbourhoods.” Journal of Urban Design 13 (1): 5–28. doi:10.1080/13574800701803498.
   Google Scholar
• Batty, M. 2017. Space Syntax and Spatial Interaction: Comparisons, Integrations, Applications, Working Papers Series. University College London: Centre for Advanced Spatial Analysis.
   Google Scholar
• Brovelli,M.A., and G.Zamboni. 2018. “ANew Method for the Assessment of Spatial Accuracy and Completeness of OpenStreetMap Building Footprints.” ISPRS International Journal of Geo-Information 7 (8): 289.
   Web of Science ®Google Scholar
• Castells,M. 1996. The Information Age: Economy, Society and Culture Volume 1: The Rise of the Network Society. 2nd ed. Oxford: Wiley Blackwell.
   Google Scholar
• Chatterjee, S., and A.S. Hadi. 2012. Regression Analysis by Example. 5th ed. Hoboken, NJ: Wiley.
   Google Scholar
• Cheng,Z., J.Caverlee, K.Lee, and D.Z.Sui. 2011. Exploring Millions of Footprints in Location Sharing Services. Paper presented at the Fifth International AAAI Conference on Weblogs and Social Media. Barcelona. Palo Alto, CA: AAAI Press.
   Google Scholar
• Cho,E., S.A.Myers, and J.Leskovec. 2011. “Friendship and Mobility: User Movement in Location-based Social Networks.” Paper presented at the Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining.  San Diego, CA: Association for Computing Machinery.
   Google Scholar
• Cint. 2018. “Which Social Media Do You Use?” Cint Insight Exchange. Accessed March 20. https://www.statista.com/statistics/570098/distribution-of-social-media-used-turkey/
   Google Scholar
• Cope,M. 2015. “Commentary: Geographies of Digital Lives: Trajectories in the Production of Knowledge with User-generated Content.” Landscape and Urban Planning 142: 212–214. doi:10.1016/j.landurbplan.2015.08.009.
   Web of Science ®Google Scholar
• Crampton,J.W., M.Graham, A.Poorthuis, T.Shelton, M.Stephens, M.W.Wilson, and M.Zook. 2013. “Beyond the Geotag: Situating ‘Big Data’ and Leveraging the Potential of the Geoweb.” Cartography and Geographic Information Science 40 (2): 130–139. doi:10.1080/15230406.2013.777137.
   Web of Science ®Google Scholar
• Dana,B., and C.Kate. 2012. “‘Critical Questions for Big Data’.” Information, Communication and Society 15: 5.
   Web of Science ®Google Scholar
• de Lange, M., & M. de Waal, 2013. “Owning the City: New Media and Citizen Engagement in Urban Design.” First Monday 18 (11). doi:10.5210/fm.v18i11.4954
   Google Scholar
• Doratli,N., S.Ö.Hoskara, B.O.Vehbi, and M.Fasli. 2007. “Revitalizing aDeclining Historic Urban quarter—The Walled City of Famagusta, North Cyprus.” Journal of Architectural and Planning Research 24 (1): 65–88.
   Web of Science ®Google Scholar
• Dunkel,A. 2015. “Visualizing the Perceived Environment Using Crowdsourced Photo Geodata.” Landscape and Urban Planning 142: 173–186.
   Web of Science ®Google Scholar
• Gao,S., K.Janowicz, and H.Couclelis. 2017. “Extracting Urban Functional Regions from Points of Interest and Human Activities on Location‐based Social Networks.” Transactions in GIS 21 (3): 446–467. doi:10.1111/tgis.12289.
   Web of Science ®Google Scholar
• García-Palomares,J., M.Carlos, H.Salas-Olmedo, B.Moya-Gómez, A.Condeço-Melhorado, and G.Javier. 2018. “City Dynamics through Twitter: Relationships between Land Use and Spatiotemporal Demographics.” Cities 72: 310–319. doi:10.1016/j.cities.2017.09.007.
   Web of Science ®Google Scholar
• Gibson,J.J. 1979. The Ecological Approach to Visual Perception. Boston, MA: Houghton Mifflin.
   Google Scholar
• Giddens,A. 1991. Modernity and Self-identity: Self and Society in the Late Modern Age. Stanford,: CA: Stanford University Press.
   Google Scholar
• Hansen,D., B.Shneiderman, and M.A.Smith. 2010. Analyzing Social Media Networks with NodeXL: Insights from aConnected World. Burlington, MA: Morgan Kaufmann.
   Google Scholar
• Hansen,W.G. 1959. “How Accessibility Shapes Land Use.” Journal of the American Institute of Planners 25 (2): 73–76.
   Web of Science ®Google Scholar
• Hecht,B., and M.Stephens. 2014. “ATale of Cities: Urban Biases in Volunteered Geographic Information.” Paper presented at the Eighth International AAAI Conference on Weblogs and Social Media, Michigan, USA. Palo Alto, CA: AAAI Press.
   Google Scholar
• Hillier, B., J. Hanson, and J. Peponis. 1987. “Syntactic Analysis of Settlements.” Architecture et comportement/Architecture and Behaviour 3 (3): 217–31.
   Google Scholar
• Hillier,B. 1996. Space Is the Machine: AConfigurational Theory of Architecture. Cambridge: Press Syndicate.
   Google Scholar
• Hillier,B. 1999. “The Hidden Geometry of Deformed Grids: Or, Why Space Syntax Works, When It Looks as though It Shouldn’t.” Environment and Planning B: Planning and Design 26 (2): 169–191.
   Google Scholar
• Hillier,B. 2009. “Spatial Sustainability in Cities: Organic Patterns and Sustainable Forms.” Paper presented at the Proceedings of the 7th International Space Syntax Symposium. Stockholm, Sweden: Royal Institute of Technology (KTH).
   Google Scholar
• Hillier,B. 2012. “Studying Cities to Learn about Minds: Some Possible Implications of Space Syntax for Spatial Cognition.” Environment and Planning B: Planning and Design 39 (1): 12–32. doi:10.1068/b34047t.
   Web of Science ®Google Scholar
• Hillier,B., and A.Penn. 2004. “Rejoinder to carlo ratti.” Environment and Planning B: Planning and Design 31 (4): 501–511.
   Google Scholar
• Hillier,B., A.Penn, J.Hanson, T.Grajewski, and X.Jianming. 1993. “Natural Movement: Or, Configuration and Attraction in Urban Pedestrian Movement.” Environment and Planning B: Planning and Design 20 (1): 29–66.
   Web of Science ®Google Scholar
• Hillier,B., and J.Hanson. 1984. The Social Logic of Space. Cambridge: Cambridge University Press.
   Google Scholar
• Hillier,B., and L.Vaughan. 2007. “The City as One Thing.” Progress in Planning 67 (3): 205–230.
   Web of Science ®Google Scholar
• Hillier,B., and S.Iida. 2005. “Network and Psychological Effects in Urban Movement.” Paper presented at the International Conference on Spatial Information Theory. Ellicottville, NY: Springer.
   Google Scholar
• Humphreys,L. 2010. “Mobile Social Networks and Urban Public Space.” New Media & Society 12 (5): 763–778.
   Web of Science ®Google Scholar
• Iranmanesh,A., and R.A.Atun. 2018. “Exploring the Spatial Distribution of Geo-tagged Twitter Feeds via Street-centrality Measures.” URBAN DESIGN International 23 (4): 293–306. doi:10.1057/s41289-018-0073-0.
   Web of Science ®Google Scholar
• Jabbari,M., F.Fonseca, and R.Ramos. 2018. “Combining Multi-criteria and Space Syntax Analysis to Assess aPedestrian Network: The Case of Oporto.” Journal of Urban Design 23 (1): 23–41.
   Web of Science ®Google Scholar
• Jacobs,J. 1961. The Death and Life of Great American Cities. NewYork: Vintage Books, Random hous.
   Google Scholar
• Jiang,B. 2009. “Ranking Spaces for Predicting Human Movement in an Urban Environment.” International Journal of Geographical Information Science 23 (7): 823–837.
   Web of Science ®Google Scholar
• Jokar Arsanjani,J., and E.Vaz. 2015. “An Assessment of aCollaborative Mapping Approach for Exploring Land Use Patterns for Several European Metropolises.” International Journal of Applied Earth Observation and Geoinformation 35: 329–337. doi:10.1016/j.jag.2014.09.009.
   Web of Science ®Google Scholar
• Kim,H.-K., and D.W.Sohn. 2002. “An Analysis of the Relationship between Land Use Density of Office Buildings and Urban Street Configuration: Case Studies of Two Areas in Seoul by Space Syntax Analysis.” Cities 19 (6): 409–418.
   Web of Science ®Google Scholar
• Kim,Y.O., and A.Penn. 2004. ““Linking the Spatial Syntax of Cognitive Maps to the Spatial Syntax of the Environment.”.” Environment and Behavior 36 (4): 483–504.
   Web of Science ®Google Scholar
• Kitchin,R. 2014. “The Real-time City? Big Data and Smart Urbanism.” GeoJournal 79 (1): 1–14.
   Google Scholar
• Kotzias,D., T.Lappas, and D.Gunopulos. 2015. “Home Is Where Your Friends Are: Utilizing the Social Graph to Locate Twitter Users in a City.” Information Systems. doi:10.1016/j.is.2015.10.011.
   Web of Science ®Google Scholar
• Kumar,S., F.Morstatter, and H.Liu. 2014. Twitter Data Analytics. New York: Springer.
   Google Scholar
• Lansley,G., and P.A.Longley. 2016. ““The Geography of Twitter Topics in London.”.” Computers, Environment and Urban Systems 58: 85–96. doi:10.1016/j.compenvurbsys.2016.04.002.
   Web of Science ®Google Scholar
• Law,S., A.Chiaradia, and C.Schwander. 2012. “Towards AMultimodal Space Syntax Analysis: ACase Study of the London Street and Underground Network.” Paper presented at the 8th International Space Syntax Symposium, Santiago.
   Google Scholar
• Lazer,D., A.S.Pentland, L.Adamic, S.Aral, A.L.Barabasi, D.Brewer, N.Christakis, N.Contractor, J.Fowler, and M.Gutmann. 2009. “Life in the Network: The Coming Age of Computational Social Science.” Science (NewYork, NY) 323 (5915): 721.
   PubMed Web of Science ®Google Scholar
• Lee,R., S.Wakamiya, and K.Sumiya. 2013. “Urban Area Characterization Based on Crowd Behavioral Lifelogs over Twitter.” Personal and Ubiquitous Computing 17 (4): 605–620.
   Web of Science ®Google Scholar
• Lerman,Y., Y.Rofè, and I.Omer. 2014. “Using Space Syntax to Model Pedestrian Movement in Urban Transportation Planning.” Geographical Analysis 46 (4): 392–410.
   Web of Science ®Google Scholar
• Lloyd,A., and J.Cheshire. 2017. “Deriving Retail Centre Locations and Catchments from Geo-tagged Twitter Data.” Computers, Environment and Urban Systems 61: 108–118. doi:10.1016/j.compenvurbsys.2016.09.006.
   Web of Science ®Google Scholar
• Longley,P.A., and M.Adnan. 2016. “Geo-temporal Twitter Demographics.” International Journal of Geographical Information Science 30 (2): 369–389.
   Web of Science ®Google Scholar
• Martín,A., A.B.Anquela Julián, and F.Cos-Gayón. 2019. “Analysis of Twitter Messages Using Big Data Tools to Evaluate and Locate the Activity in the City of Valencia (Spain).” Cities 86: 37–50. doi:10.1016/j.cities.2018.12.014.
   Web of Science ®Google Scholar
• Mislove,A., S.Lehmann, Y.-Y.Ahn, J.-P.Onnela, and J.Niels Rosenquist. 2011. “Understanding the Demographics of Twitter Users.” Paper presented at the Fifth international AAAI conference on weblogs and social media, Barcelona.
   Google Scholar
• Morstatter,F., J.Pfeffer, H.Liu, and K.M.Carley. 2013. “Is the Sample Good Enough? Comparing Data from Twitter’s Streaming API with Twitter’s Firehose.” Paper presented at the 7th International Conference on Weblogs and Social Media, ICWSM 2013, Cambridge, MA.  Palo Alto, CA: AAAI Press.
   Google Scholar
• Moya-Gómez,B., M.H.Salas-Olmedo, J.C.García-Palomares, and J.Gutiérrez. 2018. “Dynamic Accessibility Using Big Data: The Role of the Changing Conditions of Network Congestion and Destination Attractiveness.” Networks and Spatial Economics 18 (2): 273–290. doi:10.1007/s11067-017-9348-z.
   Web of Science ®Google Scholar
• Önal,Ş., U.Dağli, and N.Doratli. 1999. “The Urban Problems of Gazimagusa (Famagusta) and Proposals for the Future.” Cities 16 (5): 333–351.
   Web of Science ®Google Scholar
• Penn,A. 2003. “Space Syntax and Spatial Cognition:Or Why the Axial Line?” Environment and Behavior 35 (1): 30–65. doi:10.1177/0013916502238864.
   Web of Science ®Google Scholar
• Penn,A., and A.Turner. 2004. “Movement-generated Land-use Agglomeration: Simulation Experiments on the Drivers of Fine-scale Land-use Patterning.” URBAN DESIGN International 9 (2): 81–96.
   Google Scholar
• Penn,A., B.Hillier, D.Banister, and X.Jun. 1998. “Configurational Modelling of Urban Movement Networks.” Environment and Planning B: Planning and Design 25 (1): 59–84.
   Google Scholar
• Peponis,J., E.Hadjinikolaou, C.Livieratos, and D.A.Fatouros. 1989. “The Spatial Core of Urban Culture.” Ekistics 56 (334/335): 43–55.
   PubMedGoogle Scholar
• Plunz,R.A., Y.Zhou, M.I.Carrasco Vintimilla, K.Mckeown, Y.Tao, L.Uguccioni, and M.P.Sutto. 2019. “Twitter Sentiment in NewYork City Parks as Measure of Well-being.” Landscape and Urban Planning 189: 235–246.
   Web of Science ®Google Scholar
• Ratti,C. 2004. “Space Syntax: Some Inconsistencies.” Environment and Planning B: Planning and Design 31 (4): 487–499.
   Web of Science ®Google Scholar
• Read,S. 1999. “Space Syntax and the Dutch City.” Environment and Planning B: Planning and Design 26 (2): 251–264. doi:10.1068/b4425.
   Web of Science ®Google Scholar
• Sadilek,A., H.A.Kautz, and V.Silenzio. 2012. “Predicting Disease Transmission from Geo-tagged Micro-blog Data.” Paper presented at the 26th AAAI Conference on Artificial Intelligence. Toronto, Ontario, Canada.  Palo Alto, CA: AAAI Press.
   Google Scholar
• Sharmin,S., and M.Kamruzzaman. 2018. “Meta-analysis of the Relationships between Space Syntax Measures and Pedestrian Movement.” Transport Reviews 38 (4): 524–550.
   Web of Science ®Google Scholar
• Shelton,T., A.Poorthuis, and M.Zook. 2015. “Social Media and the City: Rethinking Urban Socio-spatial Inequality Using User-generated Geographic Information.” Landscape and Urban Planning 142: 198–211. doi:10.1016/j.landurbplan.2015.02.020.
   Web of Science ®Google Scholar
• Shen,Y., and K.Karimi. 2016. “Urban Function Connectivity: Characterisation of Functional Urban Streets with Social Media Check-in Data.” Cities 55: 9–21.
   Web of Science ®Google Scholar
• Shen,Y., and K.Karimi. 2018. “Urban Evolution as a Spatio-functional Interaction Process: The Case of Central Shanghai.” Journal of Urban Design 23 (1): 42–70.
   Web of Science ®Google Scholar
• Steadman,P. 2004. Developments in Space Syntax. London, England: SAGE Publications Sage.
   Google Scholar
• Steiger,E., R.Westerholt, B.Resch, and A.Zipf. 2015. “Twitter as an Indicator for Whereabouts of People? Correlating Twitter with UK Census Data.” Computers, Environment and Urban Systems 54: 255–265.
   Web of Science ®Google Scholar
• Tufekci,Z. 2014. “Big Questions for Social Media Big Data: Representativeness, Validity and Other Methodological Pitfalls.” Paper presented at the Eighth International AAAI Conference on Weblogs and Social Media. Palo Alto, CA: AAAI Press.
   Google Scholar
• Turner,A. 2007. “From Axial to Road-centre Lines: ANew Representation for Space Syntax and aNew Model of Route Choice for Transport Network Analysis.” Environment and Planning B: Planning and Design 34 (3): 539–555.
   Web of Science ®Google Scholar
• Turner,A., and A.Penn. 2007. “Evolving Direct Perception Models of Human Behavior in Building Systems.” In Pedestrian and Evacuation Dynamics, edited by N. Waldau, P. Gattermann, H. Knoflacher, and M. Schreckenberg, 411–422. Berlin, Heidelberg: Springer. doi:10.1007/978-3-540-47064-9_39.
   Google Scholar
• Varoudis,T. 2012. “DepthmapX Multi-platform Spatial Network Analysis Software.” Version 0.30 OpenSource. http://varoudis. github. io/depthmapX
   Google Scholar
• Vehbi,B.O., and N.Doratli. 2010. “Assessing the Impact of Tourism on the Physical Environment of aSmall Coastal Town: Girne, Northern Cyprus.” European Planning Studies 18 (9): 1485–1505.
   Web of Science ®Google Scholar
• Yoon,S., N.Elhadad, and S.Bakken. 2013. “APractical Approach for Content Mining of Tweets.” American Journal of Preventive Medicine 45 (1): 122–129.
   PubMed Web of Science ®Google Scholar
• Zandbergen,P.A., and S.J.Barbeau. 2011. “Positional Accuracy of Assisted Gps Data from High-sensitivity Gps-enabled Mobile Phones.” Journal of Navigation 64: 381–399.
   Web of Science ®Google Scholar
• Zhan,X., S.V.Ukkusuri, and F.Zhu. 2014. “Inferring Urban Land Use Using Large-scale Social Media Check-in Data.” Networks and Spatial Economics 14 (3–4): 647–667. doi:10.1007/s11067-014-9264-4.
   Web of Science ®Google Scholar
• Zhang,S., and W.Zhou. 2018. “Recreational Visits to Urban Parks and Factors Affecting Park Visits: Evidence from Geotagged Social Media Data.” Landscape and Urban Planning 180: 27–35. doi:10.1016/j.landurbplan.2018.08.004.
   Web of Science ®Google Scholar