A5079124230- Sustainable Building Design and Assessment
- Human Mobility and Location-Based Analysis
- Building Energy and Comfort Optimization
- Energy Efficiency and Management
- Housing Market and Economics
- Urban Transport and Accessibility
- Impact of Light on Environment and Health
- Noise Effects and Management
- Smart Cities and Technologies
- Urban, Neighborhood, and Segregation Studies
- COVID-19 epidemiological studies
- Land Use and Ecosystem Services
- Facilities and Workplace Management
- Urban Green Space and Health
- Economic and Environmental Valuation
- Transportation Planning and Optimization
- Sport and Mega-Event Impacts
- BIM and Construction Integration
- COVID-19 and Mental Health
- Homelessness and Social Issues
- Diverse Aspects of Tourism Research
- 3D Modeling in Geospatial Applications
- Disaster Management and Resilience
- COVID-19 Pandemic Impacts
- Data-Driven Disease Surveillance
New York University
2015-2024
City University of New York
2018-2021
Lockheed Martin (United States)
2018
ITMO University
2018
Brooklyn College
2017
Urban College of Boston
2015
Progress (Ireland)
2013
Abstract While conceptual definitions provide a foundation for the study of disasters and their impacts, challenge researchers practitioners alike has been to develop objective rigorous measures resilience that are generalizable scalable, taking into account spatiotemporal dynamics in response recovery localized communities. In this paper, we analyze mobility patterns more than 800,000 anonymized mobile devices Houston, Texas, representing approximately 35% local population, Hurricane Harvey...
Tree-based ensemble learning has received significant interest as one of the most reliable and broadly applicable classes machine techniques. However, thus far, it rarely been used to model evaluate drivers energy consumption in buildings such its performance accuracy this field have yet be properly tested or fully understood. The goal paper is three algorithms modelling predicting heating cooling loads buildings, namely (i) random forests, (ii) extremely randomized trees (extra-trees),...
Significance We present a computational approach to measure exposure density at high spatial and temporal resolution understand neighborhood disparities in transmission risk of COVID-19. By integrating geolocation data granular land-use information, we are able establish both the extent activity particular nature that across residential, nonresidential, outdoor activities. then analyze differential behavioral response social-distancing policies based on local factors, built-environment...
Problem, research strategy, and findings: Of the three primary components of housing affordability measures—rent, transportation, utilities—utility costs are least understood yet one area where cost burden can be reduced without household relocation. Existing data sources to estimate energy limited surveys with small samples low spatial temporal resolution, such as American Housing Survey Residential Energy Consumption Survey. In this study, we present a new method for small-area estimates...
Building energy conservation measures (ECMs) can significantly lower greenhouse gas (GHG) emissions from urban areas; however, uncertainties regarding not only ECM eligibility, but also associated costs and savings have slowed adoption of ECMs. To encourage implementation, local governments implemented a range policies designed to increase the available information on building use. Energy audit mandates, such as New York City (NYC)’s Local Law 87 (LL87), require consultants analyze installed...
The vast amount of data being generated in and about cities creates both an opportunity a dilemma for urban policymakers planners. This paper articulates the theoretical, practical, pedagogical foundations fields informatics civic analytics outlines challenges to effectively applying big computational methods management, policy, planning. It describes state field, defines range applications context, presents key considerations training scientists that acknowledge capitalize on shifting modes...
Urban science seeks to understand the fundamental processes that drive, shape and sustain cities urbanization. It is a multi/transdisciplinary approach involving concepts, methods research from social, natural, engineering computational sciences, along with humanities. This report intended convey current "state of art" in urban while also clearly indicating how builds upon complements (but does not replace) prior work on urbanization many other disciplines. The aim at fully comprehensive...
In this paper we investigate variations in the adoption of LEED-certified commercial buildings across 174 core-based statistical areas United States. Drawing upon a unique database and using robust analytical framework, determinants proportion space are modeled. We find that, despite high growth rates, stock accounts for relatively small total stock. The average is less than 1%. A further contribution that our concentration measure avoids biases associated with simple percentage measures...