Next Article in Journal
Assessment of Community Vulnerability to Different Types of Urban Floods: A Case for Lishui City, China
Previous Article in Journal
Enhancing Flood Resilience and Climate Adaptation: The State of the Art and New Directions for Spatial Planning
Previous Article in Special Issue
Smart Cities Oriented Project Planning and Evaluation Methodology Driven by Citizen Perception—IoT Smart Mobility Case
Open AccessArticle

Exploring Walking Behavior in the Streets of New York City Using Hourly Pedestrian Count Data

School of Architecture, University of Ulsan, Ulsan 44610, Korea
Sustainability 2020, 12(19), 7863; https://doi.org/10.3390/su12197863
Received: 16 July 2020 / Revised: 18 September 2020 / Accepted: 19 September 2020 / Published: 23 September 2020
This paper explores hourly automated pedestrian count data of seven locations in New York City to understand pedestrian walking patterns in cities. Due to practical limitations, such patterns have been studied conceptually; few researchers have explored walking as a continuous, long-term activity. Adopting an automated pedestrian counting method, we documented and observed people walking on city streets and found that unique pedestrian traffic patterns reflect land use, development intensity, and neighborhood characteristics. We observed a threshold of thermal comfort in outdoor activities. People tend to seek shade and avoid solar radiation stronger than 1248 Wh/m2 at an average air temperature of 25 °C. Automated collection of detailed pedestrian count data provides a new opportunity for urban designers and transportation planners to understand how people walk and to improve our cities to be less dependent on the automobile. View Full-Text
Keywords: walking; automated pedestrian counting; urban design; thermal comfort walking; automated pedestrian counting; urban design; thermal comfort
Show Figures

Figure 1

MDPI and ACS Style

Lee, J.M. Exploring Walking Behavior in the Streets of New York City Using Hourly Pedestrian Count Data. Sustainability 2020, 12, 7863. https://doi.org/10.3390/su12197863

AMA Style

Lee JM. Exploring Walking Behavior in the Streets of New York City Using Hourly Pedestrian Count Data. Sustainability. 2020; 12(19):7863. https://doi.org/10.3390/su12197863

Chicago/Turabian Style

Lee, Jae M. 2020. "Exploring Walking Behavior in the Streets of New York City Using Hourly Pedestrian Count Data" Sustainability 12, no. 19: 7863. https://doi.org/10.3390/su12197863

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop