Abstract:
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 ...Show MoreMetadata
Abstract:
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 commute between these functional zones every day to engage in different socioeconomic activities, e.g., working, shopping, and entertaining. In this paper, we propose a data-driven framework to discover functional zones in a city. Specifically, we introduce the concept of latent activity trajectory (LAT), which captures socioeconomic activities conducted by citizens at different locations in a chronological order. Later, we segment an urban area into disjointed regions according to major roads, such as highways and urban expressways. We have developed a topic-modeling-based approach to cluster the segmented regions into functional zones leveraging mobility and location semantics mined from LAT. Furthermore, we identify the intensity of each functional zone using Kernel Density Estimation. Extensive experiments are conducted with several urban scale datasets to show that the proposed framework offers a powerful ability to capture city dynamics and provides valuable calibrations to urban planners in terms of functional zones.
Published in: IEEE Transactions on Knowledge and Data Engineering ( Volume: 27, Issue: 3, 01 March 2015)
Microsoft Research Asia, Beijing, China
Nicholas Jing Yuan is an associate researcher in Microsoft Research
Asia. Currently, his research interests include spatial-temporal data mining, behavioral mining, and computational
social science. He is a member of the ACM and IEEE.
Nicholas Jing Yuan is an associate researcher in Microsoft Research
Asia. Currently, his research interests include spatial-temporal data mining, behavioral mining, and computational
social science. He is a member of the ACM and IEEE.View more
Microsoft Research Asia, Beijing, China
Yu Zheng is a lead researcher at Microsoft Research Asia. His
research interests include location-based services, spatiotemporal data mining, ubiquitous computing, and mobile
social applications. He is a senior member of the IEEE and ACM.
Yu Zheng is a lead researcher at Microsoft Research Asia. His
research interests include location-based services, spatiotemporal data mining, ubiquitous computing, and mobile
social applications. He is a senior member of the IEEE and ACM.View more
Microsoft Research Asia, Beijing, China
Xing Xie is a senior researcher in Microsoft Research Asia, and a
guest PhD advisor with the University of Science and Technology of China. His research interest include spatial data
mining, location-based services, social networks, and ubiquitous computing. He is a senior member of the ACM and IEEE.
Xing Xie is a senior researcher in Microsoft Research Asia, and a
guest PhD advisor with the University of Science and Technology of China. His research interest include spatial data
mining, location-based services, social networks, and ubiquitous computing. He is a senior member of the ACM and IEEE.
View more
School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China
Yingzi Wang is currently an graduate student in the University of
Science and Technology of China. Her recent research interests include spatial-temporal data mining and human mobility
analytics.
Yingzi Wang is currently an graduate student in the University of
Science and Technology of China. Her recent research interests include spatial-temporal data mining and human mobility
analytics.View more
ITEE, University of Queensland, GPS Building, St Lucia Campus, Brisbane, Qld., Australia
Kai Zheng is currently a research fellow at the University of
Queensland. His research interests include efficient spatiotemporal query processing, uncertain data management, and
spatial trajectory computing.
Kai Zheng is currently a research fellow at the University of
Queensland. His research interests include efficient spatiotemporal query processing, uncertain data management, and
spatial trajectory computing.View more
State University of New Jersey
Hui Xiong is currently an associate professor and the vice department
chair at the Management Science and Information Systems Department, Rutgers University. His general area of research
is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for
emerging data intensive applications. He is a senior member of the ACM and IEEE.
Hui Xiong is currently an associate professor and the vice department
chair at the Management Science and Information Systems Department, Rutgers University. His general area of research
is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for
emerging data intensive applications. He is a senior member of the ACM and IEEE.View more
Contents Microsoft Research Asia, Beijing, China
Nicholas Jing Yuan is an associate researcher in Microsoft Research
Asia. Currently, his research interests include spatial-temporal data mining, behavioral mining, and computational
social science. He is a member of the ACM and IEEE.
Nicholas Jing Yuan is an associate researcher in Microsoft Research
Asia. Currently, his research interests include spatial-temporal data mining, behavioral mining, and computational
social science. He is a member of the ACM and IEEE.View more
Microsoft Research Asia, Beijing, China
Yu Zheng is a lead researcher at Microsoft Research Asia. His
research interests include location-based services, spatiotemporal data mining, ubiquitous computing, and mobile
social applications. He is a senior member of the IEEE and ACM.
Yu Zheng is a lead researcher at Microsoft Research Asia. His
research interests include location-based services, spatiotemporal data mining, ubiquitous computing, and mobile
social applications. He is a senior member of the IEEE and ACM.View more
Microsoft Research Asia, Beijing, China
Xing Xie is a senior researcher in Microsoft Research Asia, and a
guest PhD advisor with the University of Science and Technology of China. His research interest include spatial data
mining, location-based services, social networks, and ubiquitous computing. He is a senior member of the ACM and IEEE.
Xing Xie is a senior researcher in Microsoft Research Asia, and a
guest PhD advisor with the University of Science and Technology of China. His research interest include spatial data
mining, location-based services, social networks, and ubiquitous computing. He is a senior member of the ACM and IEEE.
View more
School of Computer Science and Technology, University of Science and Technology of China, Hefei, Anhui, China
Yingzi Wang is currently an graduate student in the University of
Science and Technology of China. Her recent research interests include spatial-temporal data mining and human mobility
analytics.
Yingzi Wang is currently an graduate student in the University of
Science and Technology of China. Her recent research interests include spatial-temporal data mining and human mobility
analytics.View more
ITEE, University of Queensland, GPS Building, St Lucia Campus, Brisbane, Qld., Australia
Kai Zheng is currently a research fellow at the University of
Queensland. His research interests include efficient spatiotemporal query processing, uncertain data management, and
spatial trajectory computing.
Kai Zheng is currently a research fellow at the University of
Queensland. His research interests include efficient spatiotemporal query processing, uncertain data management, and
spatial trajectory computing.View more
State University of New Jersey
Hui Xiong is currently an associate professor and the vice department
chair at the Management Science and Information Systems Department, Rutgers University. His general area of research
is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for
emerging data intensive applications. He is a senior member of the ACM and IEEE.
Hui Xiong is currently an associate professor and the vice department
chair at the Management Science and Information Systems Department, Rutgers University. His general area of research
is data and knowledge engineering, with a focus on developing effective and efficient data analysis techniques for
emerging data intensive applications. He is a senior member of the ACM and IEEE.View more
