Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach
Extracting hidden information from human mobility patterns is one of the long-standing
challenges of urban studies. In addition, exploring the relationship between urban functional …
challenges of urban studies. In addition, exploring the relationship between urban functional …
[HTML][HTML] Identifying urban functional zones using public bicycle rental records and point-of-interest data
Human mobility data have become an essential means to study travel behavior and trip
purpose to identify urban functional zones, which portray land use at a finer granularity and …
purpose to identify urban functional zones, which portray land use at a finer granularity and …
[PDF][PDF] Representing urban functions through zone embedding with human mobility patterns
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 …
role and cooperates with each other to serve people's various life needs. Understanding …
[HTML][HTML] Road2vec: Measuring traffic interactions in urban road system from massive travel routes
Good characterization of traffic interactions among urban roads can facilitate traffic-related
applications, such as traffic control and short-term forecasting. Most studies measure the …
applications, such as traffic control and short-term forecasting. Most studies measure the …
Trajectorynet: An embedded gps trajectory representation for point-based classification using recurrent neural networks
Understanding and discovering knowledge from GPS (Global Positioning System) traces of
human activities is an essential topic in mobility-based urban computing. We propose …
human activities is an essential topic in mobility-based urban computing. We propose …
Region representation learning via mobility flow
Increasing amount of urban data are being accumulated and released to public; this enables
us to study the urban dynamics and address urban issues such as crime, traffic, and quality …
us to study the urban dynamics and address urban issues such as crime, traffic, and quality …
Classification of urban morphology with deep learning: Application on urban vitality
There is a prevailing trend to study urban morphology quantitatively thanks to the growing
accessibility to various forms of spatial big data, increasing computing power, and use cases …
accessibility to various forms of spatial big data, increasing computing power, and use cases …
[HTML][HTML] Identification of urban functional regions in chengdu based on taxi trajectory time series data
X Liu, Y Tian, X Zhang, Z Wan - ISPRS International Journal of Geo …, 2020 - mdpi.com
Overall scientific planning of urbanization layout is an important component of the new
period of land spatial planning policies. Defining the main functions of different spaces and …
period of land spatial planning policies. Defining the main functions of different spaces and …
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 …
Urban analytics of big transportation data for supporting smart cities
CK Leung, P Braun, CSH Hoi, J Souza… - Big Data Analytics and …, 2019 - Springer
The advances in technologies and the popularity of the smart city concepts have led to an
increasing amount of digital data available for urban research, which in turn has led to urban …
increasing amount of digital data available for urban research, which in turn has led to urban …