Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data
Tracking human activities with social media (online social networks) and point of interest
data to understand human dynamic distribution, behavior, and high-density urban …
data to understand human dynamic distribution, behavior, and high-density urban …
Understanding livable dense urban form for social activities in transit-oriented development through human-scale measurements
Transit-oriented development (TOD) has been one of the critical concerns for developing
dense urban form. Capturing the human-scaled effects of dense urban form in TOD remains …
dense urban form. Capturing the human-scaled effects of dense urban form in TOD remains …
Crowdsourcing functions of the living city from Twitter and Foursquare data
Urban functions are closely related to people's spatiotemporal activity patterns,
transportation needs, and a city's business distribution and development trends. Studies …
transportation needs, and a city's business distribution and development trends. Studies …
[HTML][HTML] Understanding temporal and spatial patterns of urban activities across demographic groups through geotagged social media data
Large-scale geotagged social media data have been increasingly used for exploring human
movement patterns in cities. Challenges of this new data type, such as non-representative …
movement patterns in cities. Challenges of this new data type, such as non-representative …
[HTML][HTML] A geographic data science framework for the functional and contextual analysis of human dynamics within global cities
This study develops a Geographic Data Science framework that transforms the Foursquare
check-in locations and user origin-destination flows data into knowledge about the emerging …
check-in locations and user origin-destination flows data into knowledge about the emerging …
Activity patterns, socioeconomic status and urban spatial structure: what can social media data tell us?
Individual activity patterns are influenced by a wide variety of factors. The more important
ones include socioeconomic status (SES) and urban spatial structure. While most previous …
ones include socioeconomic status (SES) and urban spatial structure. While most previous …
Coupling mobile phone and social media data: A new approach to understanding urban functions and diurnal patterns
Understanding urban functions and their relationships with human activities has great
implications for smart and sustainable urban development. In this study, we present a novel …
implications for smart and sustainable urban development. In this study, we present a novel …
Crowdsourcing urban form and function
Urban form and function have been studied extensively in urban planning and geographical
information science. However, gaining a greater understanding of how they merge to define …
information science. However, gaining a greater understanding of how they merge to define …
Urban function recognition by integrating social media and street-level imagery
Recognizing urban functions is crucial for understanding urban spatial structures and urban
planning. Previous work has investigated urban functions based on human activities that …
planning. Previous work has investigated urban functions based on human activities that …
City dynamics through Twitter: Relationships between land use and spatiotemporal demographics
JC García-Palomares, MH Salas-Olmedo… - Cities, 2018 - Elsevier
Social network data offer interesting opportunities in urban studies. In this study, we used
Twitter data to analyse city dynamics over the course of the day. Users of this social network …
Twitter data to analyse city dynamics over the course of the day. Users of this social network …