Tempo-spatial analysis of pedestrian movement in the built environment based on crowdsourced big data

A Angel, P Plaut - Cities, 2024 - Elsevier
Over the years, the urban planning literature has focused substantial attention on walkability
research, aiming to enhance physical activity and sustainable communities through urban …

Impact of COVID-19 policies on pedestrian traffic and walking patterns

A Angel, A Cohen, S Dalyot… - … and Planning B: Urban …, 2023 - journals.sagepub.com
The spread of COVID-19 pandemic provoked new policies and restrictions, which had an
unprecedented impact on urban mobility and traffic on local and global scales. While …

[HTML][HTML] Evaluating the relationship between walking and street characteristics based on big data and machine learning analysis

A Angel, A Cohen, T Nelson, P Plaut - Cities, 2024 - Elsevier
The relationship between walking and the built environment is gaining increased attention
for promoting sustainable transport and healthy communities. However, while pedestrians …

[HTML][HTML] Street life and pedestrian activities in smart cities: opportunities and challenges for computational urban science

Z Fan, BPY Loo - Computational urban science, 2021 - Springer
Ongoing efforts among cities to reinvigorate streets have encouraged innovations in using
smart data to understand pedestrian activities. Empowered by advanced algorithms and …

Enhancing pedestrian mobility in smart cities using big data

E Carter, P Adam, D Tsakis, S Shaw… - Journal of …, 2020 - Taylor & Francis
Smart City is an emerging concept in global urban development. A Smart City applies ICT
technologies to provide greater efficiencies for its urban areas and civilian population. One …

To and fro: digital data-driven analyses of pedestrian mobility in urban spaces

AP Vanky - 2017 - dspace.mit.edu
Understanding how environmental attributes can influence the behavior of pedestrians is of
concern for public health officials, transportation engineers, and urban planners. To what …

'Big Data': pedestrian volume using google street view images

L Yin, Q Cheng, Z Shao, Z Wang, L Wu - Seeing Cities Through Big Data …, 2017 - Springer
Responding to the widespread growing interest in walkable, transit-oriented development
and healthy communities, many recent studies in planning and public health are …

[HTML][HTML] A street-point method to measure the spatiotemporal relationship between walkability and pedestrian flow

B Jardim, M de Castro Neto, A Barriguinha - Computers, Environment and …, 2023 - Elsevier
Walkability indicators are a pivotal method to evaluate the role of the built environment in
peoples' decisions regarding active mobility, supporting the application of public measures …

[HTML][HTML] Real-Time Tracking Data and Machine Learning Approaches for Mapping Pedestrian Walking Behavior: A Case Study at the University of Moratuwa

H Sawandi, A Jayasinghe, G Retscher - Sensors, 2024 - mdpi.com
The growing urban population and traffic congestion underline the importance of building
pedestrian-friendly environments to encourage walking as a preferred mode of …

Smart curbs: Measuring street activities in real-time using computer vision

A Salazar-Miranda, F Zhang, M Sun, P Leoni… - Landscape and Urban …, 2023 - Elsevier
Streets are conduits of human activity. Despite their importance, studying street activity has
been obscured by a lack of data on how people use them, with most approaches limited to …