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作者

Nasrin Khansari;Elizabeth Hewitt

来源

CITIES,Vol.97,Issue1,Article 102503

语言

英文

关键字

Agent-based model;Greenhouse gas emissions;Energy efficiency;Occupant behavior;New York City;Buildings

作者单位

School of Professional Studies, City University of New York (CUNY), New York, NY 10001, USA;Department of Technology and Society, Stony Brook University, 1411 Computer Science, 100 Nicholls Rd, Stony Brook, NY 11794, USA;School of Professional Studies, City University of New York (CUNY), New York, NY 10001, USA;Department of Technology and Society, Stony Brook University, 1411 Computer Science, 100 Nicholls Rd, Stony Brook, NY 11794, USA

摘要

A number of cities globally have developed ambitious goals to reduce greenhouse gas emissions (GHGs), and New York City has publicly committed to reducing emissions 80% by 2050 (80 × 50). While physical infrastructure is important, cities can gain important insights through information about human behavior, as people are the end users of buildings, transportation, and other physical assets. In this paper, we present a simplistic, pilot agent-based model (ABM) for New York City with projections about the city's potential for reaching the 80 × 50 goal in the building sector. Importantly, the ABM models occupant choices about technology adoption to predict the prevalence of green buildings in coming years. We find that even though traditional building types are slow to transition, CO2 production still decreases substantially over the forecast interval. Traditional buildings begin to slow their dominance in the model pathways by approximately 10 years into the forecast. Although the ABM presented here relies on simplistic assumptions about human agents and brings a high level of uncertainty, it presents a useful pilot tool to begin to understand system-level impacts from micro-level actions of households and individuals, and provides vast potential for future use of ABMs for this task.