Constantine E. Kontokosta
Cited by
Cited by
Encyclopedia of urban studies
R Hutchison
Sage, 2010
A data-driven predictive model of city-scale energy use in buildings
CE Kontokosta, C Tull
Applied energy 197, 303-317, 2017
Modeling the energy retrofit decision in commercial office buildings
CE Kontokosta
Energy and Buildings 131, 1-20, 2016
Urban phenology: Toward a real-time census of the city using Wi-Fi data
CE Kontokosta, N Johnson
Computers, Environment and Urban Systems 64, 144-153, 2017
The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity
CE Kontokosta, A Malik
Sustainable Cities and Society 36, 272-285, 2018
Modeling the determinants of large-scale building water use: Implications for data-driven urban sustainability policy
CE Kontokosta, RK Jain
Sustainable Cities and Society 18, 44-55, 2015
Mixed-income housing and neighborhood integration: Evidence from inclusionary zoning programs
CE Kontokosta
Journal of Urban Affairs 36 (4), 716-741, 2014
Rethinking HVAC temperature setpoints in commercial buildings: The potential for zero-cost energy savings and comfort improvement in different climates
S Papadopoulos, CE Kontokosta, A Vlachokostas, E Azar
Building and Environment 155, 350-359, 2019
Energy disclosure, market behavior, and the building data ecosystem
CE Kontokosta
Annals of the New York Academy of Sciences 1295 (1), 34-43, 2013
Determinants of green building adoption
F Fuerst, C Kontokosta, P McAllister
Environment and Planning B: Planning and Design 41 (3), 551-570, 2014
Grading buildings on energy performance using city benchmarking data
S Papadopoulos, CE Kontokosta
Applied Energy 233, 244-253, 2019
Greening the regulatory landscape: The spatial and temporal diffusion of green building policies in US cities
C Kontokosta
Journal of Sustainable Real Estate 3 (1), 68-90, 2011
Using machine learning and small area estimation to predict building-level municipal solid waste generation in cities
CE Kontokosta, B Hong, NE Johnson, D Starobin
Computers, Environment and Urban Systems 70, 151-162, 2018
The new smart cities
G Mone
Communications of the ACM 58 (7), 20-21, 2015
Evaluation of tree-based ensemble learning algorithms for building energy performance estimation
S Papadopoulos, E Azar, WL Woon, CE Kontokosta
Journal of Building Performance Simulation 11 (3), 322-332, 2018
Digital footprints: Using WiFi probe and locational data to analyze human mobility trajectories in cities
MW Traunmueller, N Johnson, A Malik, CE Kontokosta
Computers, Environment and Urban Systems 72, 4-12, 2018
Applications of machine learning methods to identifying and predicting building retrofit opportunities
DE Marasco, CE Kontokosta
Energy and Buildings 128, 431-441, 2016
A market-specific methodology for a commercial building energy performance index
CE Kontokosta
The Journal of Real Estate Finance and Economics 51 (2), 288-316, 2015
Pattern recognition in building energy performance over time using energy benchmarking data
S Papadopoulos, B Bonczak, CE Kontokosta
Applied Energy 221, 576-586, 2018
The quantified community and neighborhood labs: A framework for computational urban science and civic technology innovation
CE Kontokosta
Journal of Urban Technology 23 (4), 67-84, 2016
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