Tartu Kolledžis 3. juunil avalik loeng linnaplaneerimisest Cambridge’i õppejõult
- Aeg:03.06.16 - 03.06.16
3. juunil algusega kell 15 toimub TTÜ Tartu kolledži aulas Cambridge'i Ülikooli dotsent Elisabete A. Silva avalik loeng linnaplaneerimisest: "Adaptive planning policy and practice. The opportunities provided by big data and dynamic simulation models".
Loeng on tasuta ja inglise keeles. Palun oma tulekust kindlasti teada anda. Loengule järgneb vabas vormis arutelu.
Registreerida saab SIIN
Elisabete A. Silva (Ph.D., MRTPI, FRICS) is Senior Lecturer (Associate Professor) in Spatial Planning, Department of Land Economy and a Fellow and DoS of Robinson College, University of Cambridge.
Dr Silva has a research track record of 20+ years, both at the public and private sector. Her research interests are centred on the application of new technologies to spatial planning in particular city and metropolitan dynamic modelling through time. Dr Silva is the Director of the LISA lab.
She is editor of „the Journal of Urban Design and Planning“, and a member of the editorial board of “Sustainable Development” and "Planning Theory and Practice". And co-author of the Ashgate book “A planners’ encounter with complexity” (2010); “The Routledge Handbook of Planning Research Methods” (2014).
Outline of Presentation
Dr. Silva’s in urban planning focus on the development and application of dynamic simulation models. These models incorporate land use, transportation and other land related physical, and socio-economic attributes, integrating them with stakeholder participation. By opposition to the past, scenarios outputted in these models aren’t static, allowing the stakeholder to input and change results along time. Because these models allow detailed microsimulation and are based in stochastic simulation the decision maker can follow the probabilities of successfully implementing a policy locally and globally, allowing the decision maker to customize policies accordingly to local conditions.
Examples of projects include SLEUTH and CVCA (2000, 2002) (land use model of urban growth where the decision maker can see year-by-year simulations of urban growth and decide where to buy parcels of land, how to develop spatial plans that optimize spatial confirmations, etc) (this model was applied to hundreds of metropolitan areas around the world, including Santa Barbata, San Francisco, Lisbon, Porto, Beijing – a US, UCSB project). DG-ABC (2008) an CA and ABM hybrid model that simulates the behaviour of different land agent in land use change and transaction. Creative industries models (CID-USST, 2011, 2012), in these models it is possible to evaluate the week-by-week allocation of workers-firms accordingly to the market dynamics and urban features that promote competitive urban milieus (projects developed in multiple Chinese cities). Energy efficient model (2012), where the decision maker can evaluate the performance of local authorities and LSOA, MSOA’s scales in terms of energy consumption and energy efficiency (project developed in London in partnership with the Department of Civil Engineering.