Understanding demographic and socioeconomic biases of geotagged Twitter users at the county level

Y Jiang, Z Li, X Ye - Cartography and geographic information …, 2019 - Taylor & Francis
Massive social media data produced from microblog platforms provide a new data source for
studying human dynamics at an unprecedented scale. Meanwhile, population bias in …

The social integration of American cities: Network measures of connectedness based on everyday mobility across neighborhoods

NE Phillips, BL Levy, RJ Sampson… - Sociological …, 2021 - journals.sagepub.com
The social integration of a city depends on the extent to which people from different
neighborhoods have the opportunity to interact with one another, but most prior work has not …

Identifying tourists and analyzing spatial patterns of their destinations from location-based social media data

MM Hasnat, S Hasan - Transportation Research Part C: Emerging …, 2018 - Elsevier
Reliable travel behavior data is a prerequisite for transportation planning process. In large
tourism dependent cities, tourists are the most dynamic population group whose size and …

Long-range low-power wireless networks and sampling strategies in electricity metering

M de Castro Tomé, PHJ Nardelli… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper studies a specific low-power wireless technology capable of reaching a long
range, namely long range (LoRa). Such a technology can be used by different applications …

Trip distribution modeling with Twitter data

N Pourebrahim, S Sultana, A Niakanlahiji… - … , Environment and Urban …, 2019 - Elsevier
Integrating both traditional and social media data, this study compares the performance of
gravity, neural network, and random forest models of commuting trip distribution in New York …

Social distance integrated gravity model for evacuation destination choice

Y Jiang, Z Li, SL Cutter - International Journal of Digital Earth, 2021 - Taylor & Francis
Evacuation is an effective and commonly taken strategy to minimize death and injuries from
an incoming hurricane. For decades, interdisciplinary research has contributed to a better …

Universal patterns of long-distance commuting and social assortativity in cities

E Bokányi, S Juhász, M Karsai, B Lengyel - Scientific reports, 2021 - nature.com
Millions commute to work every day in cities and interact with colleagues, partners, friends,
and strangers. Commuting facilitates the mixing of people from distant and diverse …

A combination of incidence data and mobility proxies from social media predicts the intra-urban spread of dengue in Yogyakarta, Indonesia

AL Ramadona, Y Tozan, L Lazuardi… - PLoS neglected tropical …, 2019 - journals.plos.org
Only a few studies have investigated the potential of using geotagged social media data for
predicting the patterns of spatio-temporal spread of vector-borne diseases. We herein …

[HTML][HTML] Combining social media and mobile positioning data in the analysis of tourist flows: A case study from Szeged, Hungary

Z Kovács, G Vida, Á Elekes, T Kovalcsik - Sustainability, 2021 - mdpi.com
Despite the growing importance of mobile tracking technology in urban planning and traffic
forecasting, its utilization in the understanding of the basic laws governing tourist flows …

Who 'tweets' where and when, and how does it help understand crime rates at places? Measuring the presence of tourists and commuters in ambient populations

R Tucker, DT O'Brien, A Ciomek, E Castro… - Journal of Quantitative …, 2021 - Springer
Objectives Test the reliability of geotagged Twitter data for estimating block-level population
metrics across place types. Evaluate whether the proportion of Twitter users on a block at a …