In addition to environmental sustainability goals, energy efficiency in multi-family housing have important implications for housing affordability. Energy costs can be a significant portion of lower-income households’ gross income, and operating efficiencies in multi-family buildings can yield meaningful savings (Block et al. 2012). Non-monetary costs, such as air pollution and associated public health issues caused by inefficient buildings and/or buildings burning heavy fuel oils, can also accrue disproportionately to economically-distressed communities (City of New York 2011). When considering the three primary components of housing affordability measures – housing cost, transportation costs, and utility costs – utility expenditures are the least understood, yet the one area that can be addressed without household relocation (Stone 2006).

This paper explores the drivers of energy consumption in residential buildings and calculates household energy cost burdens based on actual energy use patterns at the building level across several U.S. cities. We examine differentials across neighborhoods and socioeconomic groups, specifically comparing market-rate and subsidized housing. We seek to address fundamental questions of the determinants of urban building resource consumption and to model how energy efficiency and energy cost vary by demographic segment, income groups, neighborhood, and geographic region. Our data consist of actual energy consumption information, integrated with building, housing subsidy, land use, and socioeconomic characteristics, for more than 12,000 multi-family buildings in New York, Austin, Boston, Cambridge, Chicago, and Washington, DC. Robust regression models, using spatial weighting, and geospatial clustering algorithms are used to estimate building energy efficiency and household cost burdens.

Research Team

Constantine E. Kontokosta, PhD, PE

DIRECTOR, URBAN INTELLIGENCE LAB; Assistant Professor of Urban Informatics; CUSP Deputy Director for Academics; Head, Quantified Community

Bartosz Bonczak

Associate Research Scientist

Sokratis Papadopoulos

PhD Candidate

Constantine E. Kontokosta, PhD, PE

DIRECTOR, URBAN INTELLIGENCE LAB; Assistant Professor of Urban Informatics; CUSP Deputy Director for Academics; Head, Quantified Community

ckontokosta@nyu.edu

Prof. Kontokosta brings training urban planning, data science, economics, and systems engineering to the data-driven study of cities.

Professor Constantine E. Kontokosta, PhD, PE, is an Assistant Professor of Urban Informatics in the Department of Civil and Urban Engineering and the Center for Urban Science and Progress (CUSP) at New York University, is the Director of the Urban Intelligence Lab, and is the Deputy Director for Academics at CUSP. He holds a faculty appointment as Visiting Professor of Computer Science at the University of Warwick, and is affiliated faculty at the NYU Wagner School of Public Service and Marron Institute for Urban Management. He is also the Principal Investigator and Head of the CUSP Quantified Community research facility, a groundbreaking project underway at five districts in New York City – at the Hudson Yards development in New York City; in Lower Manhattan; at Governor’s Island, and in Red Hook and Brownsville, Brooklyn – that is building sensor-enabled urban neighborhoods to study the impact of the built environment on well-being and human behavior. As one of the first faculty to join CUSP, Constantine is part of the CUSP founding leadership team, setting the Center’s strategic priorities and leading the design and implementation of its academic programs in urban data science, growing from just two to over 50 faculty and staff and 100 graduate students in three years. He serves as Faculty Engineer-in-Residence at the NYU Tech Incubators, where he mentors cleantech and smart city start-up companies from early stage idea refinement to technology demonstration and deployment. He is a 2017 recipient of the NSF CAREER award for his research in urban informatics for smart, sustainable cities.

Dr. Kontokosta‘s research lies at the intersection or urban planning, data science, and systems engineering, focusing on using big data and new sensing technologies to better understand the dynamics of physical, environmental, and social systems in the urban environment. His work has been published in leading academic journals in fields including science, economics, urban policy and planning, and engineering, and has two forthcoming books, one on data-driven city operations and planning and the other on the subject of big data and urban sustainability. He collaborates with numerous city agencies in the U.S. and internationally on issues of urban sustainability and resilience policy and planning and city operations, including a multi-year effort to lead data analysis on building energy efficiency with the NYC Mayor’s Office of Sustainability. Dr. Kontokosta’s work has been featured in the Wall Street JournalNew York TimesCNN, NPR, Fast CompanyCityLab, Bloomberg NewsFinancial Times, APS Physics, and ASCE’s Civil Engineering Magazine, among other national and international media outlets.

Dr. Kontokosta holds a Ph.D., M.Phil, and M.S. in Urban Planning, specializing in urban economics and econometrics, from Columbia University, a M.S. in Real Estate Finance from New York University, and a B.S.E. in Civil Engineering Systems from the University of Pennsylvania. He has received research funding from the MacArthur Foundation, the Sloan Foundation, the National Science Foundation, Siemens Corp., CBRE Group, Inc., and the U.S. Department of Housing and Urban Development, among others. Kontokosta has won the IBM Faculty Award, Goddard Junior Faculty Fellowship, the Google IoT Research Award, and NYU’s Award for Teaching Excellence. He is also a recipient of the C. Lowell Harriss Dissertation Award, the Columbia GSAS Dissertation Award, the Charles Abrams Award for Research in Social Justice, the Best Paper Award at the Bloomberg Data for Good Exchange in 2015, and has been named a Fulbright Senior Scholar in Urban Planning.

Dr. Kontokosta is a licensed Professional Engineer, a member of the American Institute of Certified Planners, a USGBC LEED Accredited Professional, and has been elected a Fellow of the Royal Institution of Chartered Surveyors (RICS).  In addition, he has served on the NYC Mayor’s 80×50 Task Force, as Vice Chair of the Suffolk County Planning Commission, and on the Boards of the UNEP SBCI and the Royal Institution of Chartered Surveyors. He is an accomplished real estate entrepreneur, and, together with his brother, Michael Kontokosta, designed, built, and owns Kontokosta Winery, the Harborfront Inn, and Cove Place Inn, all on the North Fork of Long Island, as well as numerous properties in New York City and the East End.

Bartosz Bonczak

Associate Research Scientist

bartosz.bonczak@nyu.edu
646.997.0530

Bartosz Bonczak is an Associate Research Scientist at CUSP working with Quantified Community and Building Informatics teams.

In his research, he applies data-driven approaches to improve building energy efficiency and the analysis of urban topography.

Bartosz received M.S. in Urban Informatics from CUSP (2015) and completed a B.S. (2009) and a M.S. (2011) in Geography with the focus on tourism at University of Lodz in his home country of Poland. Prior to joining CUSP he was Assistant Research Scientist at the Department of Geographical Sciences at University of Lodz.

Sokratis Papadopoulos

PhD Candidate

sokratis.papadopoulos@nyu.edu
646.705.3295

Sokratis is a PhD candidate in Civil and Urban Engineering at NYU’s Tandon School of Engineering and NYU CUSP.

He holds an MSc in Engineering Systems and Management from Masdar Institute, UAE (2015). His research interests lie between applied data science and optimization of building energy performance, with an emphasis on human actions.