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A Comparison Study on a Set of Space Syntax based Methods : Applying metric, topological and angular analysis to natural streets, axial lines and axial segmentsXia, Xiaolin January 2013 (has links)
Recently, there has been an increasing interest in looking at urban environment as a complex system. More and more researchers are paying attention to the study of the configuration of urban space as well as human social activities within it. It has been found that correlation exists between the morphological properties of urban street network and observed human social movement patterns. This correlation implies that the influence of urban configurations on human social movements is no longer only revealed from the sense of metric distance, but also revealed from topological and geometrical perspectives. Metric distances, topological relationships and angular changes between streets should be considered when applying space syntax analysis to an urban street network. This thesis is mainly focused on the comparison among metric, topological and angular analyses based on three kinds of urban street representation models: natural streets, axial lines and axial segments. Four study areas (London, Paris, Manhattan and San Francisco) were picked up for empirical study. In the study, space syntax measures were calculated for different combinations of analytical methods and street models. These theoretical space syntax accessibility measures (connectivity, integration and choice) were correlated to the corresponding practical human movement to evaluate the correlations. Then the correlation results were compared in terms of analytical methods and street representation models respectively. In the end, the comparison of results show that (1) natural-street based model is the optimal street model for carrying out space syntax analysis followed by axial lines and axial segments; (2) angular analysis and topological analysis are more advanced than metric analysis; and (3) connectivity, integration and local integration (two-step) are more suitable for predicting human movements in space syntax. Furthermore, it can be hypothesized that topological analysis method with natural-street based model is the best combination for the prediction of human movements in space syntax, for the integration of topological and geometrical thinking.
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COMPARATIVE STUDY OF NETWORKED COMMUNITIES, CRISIS COMMUNICATION, AND TECHNOLOGY: RHETORIC OF DISASTER IN THE NEPAL EARTHQUAKE AND HURRICANE MARIASweta Baniya (8786567) 04 May 2020 (has links)
<p>In April and May 2015 Nepal suffered two massive earthquakes of 7.5 and 6 5 magnitudes in the Richter scale, killing 8856 and injuring 22309. Two years later in September 2017, Puerto Rico underwent the Category 5 Hurricane Maria, killing an estimate of 800 to 8000 people and displacing hundreds of thousands of Puerto Ricans (Kishore et al., 2018). This dissertation project is the comparative study of Nepal’s and Puerto Rico’s networked communities, their actors, participants (Potts, 2014), and the users (Ingraham, 2015; Johnson, 1998) who used crisis communication practices to address the havoc created by the disaster. Using a mixed-methods research approach and with framework created with the Assemblage Theory (DeLanda, 2016), I argue that disasters create situations in which various networked communities are formed into transnational assemblages along with an emergence of innovative digital technical and professional communication practices.</p>
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