[HTML][HTML] From intangible to tangible: The role of big data and machine learning in walkability studies

J Yang, P Fricker, A Jung - Computers, Environment and Urban Systems, 2024 - Elsevier
Walkability reflects the well-being of a city, and its measurement is evolving rapidly due to
advancements of big data and machine learning technologies. The study examines the …

[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 …

A novel walkability index using google street view and deep learning

D Ki, Z Chen, S Lee, S Lieu - Sustainable Cities and Society, 2023 - Elsevier
Despite its wide use across disciplines, the conventional walkability index has limited
applicability in planning and design practice because it shows poor agreement with …

How are neighborhood and street-level walkability factors associated with walking behaviors? A big data approach using street view images

BW Koo, S Guhathakurta… - Environment and …, 2022 - journals.sagepub.com
The built environment characteristics associated with walkability range from neighborhood-
level urban form factors to street-level urban design factors. However, many existing …

Measuring Perceived Walkability at the City Scale Using Open Data

Y Ye, C Jia, S Winter - Land, 2024 - mdpi.com
The walkability of the built environment has been shown to be critical to the health of
residents, and open data have been widely used to assess walkability. However, previous …

[PDF][PDF] Microscale Walkability Modelling. The Case of Athens City Centre.

A Bartzokas-Tsiompras, YN Photis - International Journal of …, 2021 - academia.edu
Accepted: 20 May 2021 To date, several macro-level walkability measures have been
proposed, but microscale and audit-based walkability approaches prove to be highly …

Using open data and deep learning to explore walkability in Shenzhen, China

X He, SY He - Transportation research part D: transport and …, 2023 - Elsevier
Developing more walkable environments plays an essential role in healthy-city planning.
Planners often assess the typical walkability framework from a geographic perspective …

Urban walkability considering pedestrians' perceptions of the built environment: a 10-year review and a case study in a medium-sized city in Latin America

J Arellana, M Saltarín, AM Larrañaga, V Alvarez… - Transport …, 2020 - Taylor & Francis
Numerous methodologies measuring walkability have been developed over the last years.
This paper reviews the Walkability Index (WI) literature of the last decade (2009–2018) and …

Using mobile phone big data and street view images to explore the mismatch between walkability and walking behavior

X He, SY He - Transportation research part A: policy and practice, 2024 - Elsevier
Stimulating more citizens to walk plays an essential role in building a healthy city. This paper
explores the mismatch between walkability and walking behavior, using mobile phone data …

Generating walkability from pedestrians' perspectives using a qualitative GIS method

GA Battista, K Manaugh - Travel behaviour and society, 2019 - Elsevier
Geospatial and audit-based walkability measures have proliferated to evaluate the
relationship between the built environment and travel behavior. While these measures …