Boyeong Hong

TL;DR: This methodology has the potential to support collection truck route optimization based on expected building-level waste generation rates, and to facilitate new equitable solid waste management policies to shift behavior and divert waste from landfills based on benchmarking and peer performance comparisons.

TL;DR: In this paper, the authors developed a method to quantify neighborhood activity behaviors at high spatial and temporal resolutions and test whether, and to what extent, behavioral responses to social-distancing policies vary with socioeconomic and demographic characteristics.

TL;DR: In this article, the authors examine bias in resident-reported data by analyzing socio-spatial disparities in "311" complaint behavior in Kansas City, Missouri and find that low-income and minority neighborhoods are less likely to report street condition or nuisance issues, while prioritizing more serious problems.

TL;DR: This work develops a method to quantify neighborhood activity behaviors at high spatial and temporal resolutions and test whether, and to what extent, behavioral responses to social-distancing policies vary with socioeconomic and demographic characteristics and evaluates the effects of localized demographic, socioeconomic, and built-environment density characteristics on infection rates and deaths.

TL;DR: In this paper, the authors analyzed mobility patterns of more than 800,000 anonymized mobile devices in Houston, Texas, representing approximately 35% of the local population, in response to Hurricane Harvey in 2017.