Architecture Commons^™

Spatial And Temporal Trends In Travel For Covid-19 Vaccinations, Abigail L. Cochran, Jueyu Wang, Mary Wolfe, Evan Iacobucci, Emma Vinella-Brusher, Noreen C. Mcdonald

Community and Regional Planning Program: Faculty Scholarly and Creative Activity

Highlights : Disparities in distances people traveled for vaccinations by demographics exist. Males and White people traveled longer distances for vaccination appointments. Travel distances of over 10 miles for vaccination likely required motorized transportation.

Introduction: Understanding spatial and temporal trends in travel for COVID-19 vaccinations by key demographic characteristics (i.e., gender, race, age) is important for ensuring equitable access to and increasing distribution efficiency of vaccines and other health services. The aim of this study is to examine trends in travel distance for COVID-19 vaccinations over the course of the vaccination rollout in North Carolina.

Methods: Data were collected using …

Machine Learning Approach For Automated Detection Of Irregular Walking Surfaces For Walkability Assessment With Wearable Sensor, Hui R. Ng, Isidore Sossa, Yunwoo Nam, Jong-Hoon Youn

Community and Regional Planning Program: Faculty Scholarly and Creative Activity

The walkability of a neighborhood impacts public health and leads to economic and environmental benefits. The condition of sidewalks is a significant indicator of a walkable neighborhood as it supports and encourages pedestrian travel and physical activity. However, common sidewalk assessment practices are subjective, inefficient, and ineffective. Current alternate methods for objective and automated assessment of sidewalk surfaces do not consider pedestrians’ physiological responses. We developed a novel classification framework for the detection of irregular walking surfaces that uses a machine learning approach to analyze gait parameters extracted from a single wearable accelerometer. We also identified the most suitable location …