Forecasting Urban Residential Stock Turnover Dynamics using System Dynamics and Bayesian Model Averaging

Wei Zhou (), Eoghan O’Neill, Alice Moncaster, David Reiner and Peter Guthrie
Additional contact information
Wei Zhou: Department of Engineering, University of Cambridge
Eoghan O’Neill: Faculty of Economics, University of Cambridge
Alice Moncaster: Department of Engineering, University of Cambridge
Peter Guthrie: Department of Engineering, University of Cambridge

No EPRG2016, Working Papers from Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge

Keywords: building stock; lifetime distribution; System Dynamics; Bayesian Model Averaging; Markov Chain Monte Carlo; embodied energy; operational energy; China (search for similar items in EconPapers)
JEL-codes: C11 O18 R21 (search for similar items in EconPapers)
Date: 2020-06
New Economics Papers: this item is included in nep-cna, nep-for, nep-isf and nep-ore
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Citations: View citations in EconPapers (4)

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Related works:
Journal Article: Forecasting urban residential stock turnover dynamics using system dynamics and Bayesian model averaging (2020)
Working Paper: Forecasting Urban Residential Stock Turnover Dynamics using System Dynamics and Bayesian Model Averaging (2020)
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