5 results match your criteria: "The Martin Centre for Architectural and Urban Studies[Affiliation]"
Grounded reality meets machine learning: A deep-narrative analysis framework for energy policy research.
Energy Res Soc Sci
November 2020
Behaviour and Building Performance Group, The Martin Centre for Architectural and Urban Studies, Department of Architecture, University of Cambridge, Cambridge CB2 1PX, United Kingdom.
Text-based data sources like narratives and stories have become increasingly popular as critical insight generator in energy research and social science. However, their implications in policy application usually remain superficial and fail to fully exploit state-of-the-art resources which digital era holds for text analysis. This paper illustrates the potential of deep-narrative analysis in energy policy research using text analysis tools from the cutting-edge domain of computational social sciences, notably topic modelling.
View Article and Find Full Text PDFEffects of microclimate and human parameters on outdoor thermal sensation in the high-density tropical context of Dhaka.
Int J Biometeorol
February 2020
The Martin Centre for Architectural and Urban Studies, Department of Architecture, University of Cambridge, 1-5 Scroope Terrace, Cambridge, CB2 1PX, UK.
A thermal comfort questionnaire survey was carried out in the high-density, tropical city Dhaka. Comfort responses from over 1300 subjects were collected at six different sites, alongside meteorological parameters. The effect of personal and psychological parameters was examined in order to develop predictive models.
View Article and Find Full Text PDFEntropy, complexity, and spatial information.
J Geogr Syst
September 2014
Department of Architecture, The Martin Centre for Architectural and Urban Studies, 1-5 Scroope Terrace, Trumpington Street, Cambridge, CB2 1PX UK.
Article Synopsis
- The text explores how to define and measure complexity in spatial systems, focusing specifically on city systems like London.
- It uses Shannon's information theory to establish that as cities grow and have more events or locations, complexity and information levels increase, although sometimes rapid changes in distribution can lead to decreased information.
- The authors apply their complexity measures to historical population data and street system evolution in London, concluding that expanding their approach to additional examples and dimensions is necessary for a comprehensive understanding of urban complexity.
The 1988 earthquake in Armenia was the most serious seismic disaster since the 1976 earthquake in Tangshan, China. At least 25,000 people lost their lives in a tremor of moderate magnitude and the USSR suffered a loss of more than 2.5 per cent of 1988's GDP.
View Article and Find Full Text PDFThe October 1988 Elia Prefecture Earthquake (SW Greece): Seismic Environment, Building Types and Damage Patterns.
Disasters
June 1989
The Martin Centre for Architectural and Urban Studies University of Cambridge -Department of Architecture 6, Chaucer Road Cambridge CB2 2EB U.K.
Earthquake disasters occur frequently in Greece, causing serious building damage and considerable loss of life. The latest event, on 16 October 1988, though not one of the most destructive, caused considerable damage. Strong motion records have been obtained near to the damaged region and this provides the opportunity to assess the extent of damage to various building types, and compare it with damage caused during another recent earthquake.
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