Jan 21, 2020 · In the framework of KNMF algorithm, the urban functional areas are identified quantitatively, and the sensitivity of the parameters in the model ...

ABSTRACT. In order to effectively implement urban planning decision-making behavior, urban function analysis is necessary. Based on POI data.

Taxi trajectory data are widely used in urban travel analysis (Mou et al., 2019) . This paper employed the taxi trajectory dataset with 35,546,005 records for a ...

Therefore, we propose a new method for identifying urban functional zones based on POI density and marginalized graph autoencoder (MGAE). First, kernel density ...

Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach[J]. Computers Environment and.

May 20, 2023 · This paper illustrates the identification of urban functional area based on POI from two perspectives: the data sources commonly used in the ...

Mar 6, 2019 · Based on the POI (point of interest) data from AMap (a map application of AutoNavi) from 2017, this paper proposes an urban functional areas ...

This paper presents a sustainable method for urban functional zoning based on POI (Point of Interest) data according to remote intelligent information ...

“Identification of Urban Functional Areas Based on GPS Trajectory and POI Data with Association Rules.” Journal of Geomatics Science and Technology 37 (4): ...

... identify urban centers by using taxi trajectory data. ... Identification of Urban Functional Zones Based on POI Density and Marginalized Graph Autoencoder.