Discovering regions of different functions in a city using human mobility and POIs

J Yuan, Y Zheng, X Xie - Proceedings of the 18th ACM SIGKDD …, 2012 - dl.acm.org
The development of a city gradually fosters different functional regions, such as educational
areas and business districts. In this paper, we propose a framework (titled DRoF) that …

Discovering urban functional zones using latent activity trajectories

NJ Yuan, Y Zheng, X Xie, Y Wang… - … on Knowledge and …, 2014 - ieeexplore.ieee.org
The step of urbanization and modern civilization fosters different functional zones in a city,
such as residential areas, business districts, and educational areas. In a metropolis, people …

Transfer urban human mobility via poi embedding over multiple cities

R Jiang, X Song, Z Fan, T Xia, Z Wang… - ACM Transactions on …, 2021 - dl.acm.org
Rapidly developing location acquisition technologies provide a powerful tool for
understanding and predicting human mobility in cities, which is very significant for urban …

Discovering spatial patterns in origin‐destination mobility data

D Guo, X Zhu, H Jin, P Gao, C Andris - Transactions in GIS, 2012 - Wiley Online Library
Mobility and spatial interaction data have become increasingly available due to the wide
adoption of location‐aware technologies. Examples of mobility data include human daily …

Visualizing the relationship between human mobility and points of interest

W Zeng, CW Fu, SM Arisona… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
In transportation studies, one fundamental problem is to analyze the departures and arrivals
at locations in order to predict the travel demands for urban planning and traffic …

Extracting urban functional regions from points of interest and human activities on location‐based social networks

S Gao, K Janowicz, H Couclelis - Transactions in GIS, 2017 - Wiley Online Library
Data about points of interest (POI) have been widely used in studying urban land use types
and for sensing human behavior. However, it is difficult to quantify the correct mix or the …

Mining GPS data for mobility patterns: A survey

M Lin, WJ Hsu - Pervasive and mobile computing, 2014 - Elsevier
With the help of various positioning tools, individuals' mobility behaviors are being
continuously captured from mobile phones, wireless networking devices and GPS …

[PDF][PDF] Representing urban functions through zone embedding with human mobility patterns

Z Yao, Y Fu, B Liu, W Hu, H Xiong - Proceedings of the Twenty-Seventh …, 2018 - par.nsf.gov
Urban functions refer to the purposes of land use in cities where each zone plays a distinct
role and cooperates with each other to serve people's various life needs. Understanding …

POI mining for land use classification: A case study

R Andrade, A Alves, C Bento - ISPRS International Journal of Geo …, 2020 - mdpi.com
The modern planning and management of urban spaces is an essential topic for smart cities
and depends on up-to-date and reliable information on land use and the functional roles of …

Point-of-interest demand modeling with human mobility patterns

Y Liu, C Liu, X Lu, M Teng, H Zhu, H Xiong - Proceedings of the 23rd …, 2017 - dl.acm.org
Point-of-Interest (POI) demand modeling in urban regions is critical for many applications
such as business site selection and real estate investment. While some efforts have been …