Analyzing Urban Human Mobility Patterns through a Thematic Model at a Finer Scale-Reference-Cited by-同舟云学术

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Analyzing Urban Human Mobility Patterns through a Thematic Model at a Finer Scale

Published:2016-06-01 Issue:6 Volume:5 Page:78
ISSN:2220-9964
Container-title:ISPRS International Journal of Geo-Information
language:en
Short-container-title:IJGI

Author:

Zhang Faming,Zhu Xinyan,Guo Wei,Ye Xinyue,Hu Tao,Huang Liang

Publisher

MDPI AG

Subject

Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Geography, Planning and Development

Link

http://www.mdpi.com/2220-9964/5/6/78/pdf

Reference44 articles.

1. Uncovering individual and collective human dynamics from mobile phone records

2. Characterizing the human mobility pattern in a large street network

3. A Survey of Mobility Models;Bai,2004

4. An Interactive Mapping Tool to Assess Individual Mobility Patterns in Neighborhood Studies

5. Geographic Information Systems for Transportation in the 21st Century

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1. Temporal self-attention-based Conv-LSTM network for multivariate time series prediction;Neurocomputing;2022-08

2. A REVIEW OF URBAN HUMAN MOBILITY RESEARCH BASED ON CROWD-SOURCED DATA AND SPACE-TIME AND SEMANTIC ANALYSIS;The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2022-06-01

3. Understanding the Regular Travel Behavior of Private Vehicles: An Empirical Evaluation and a Semi-Supervised Model;IEEE Sensors Journal;2021-09-01

4. Urban function classification at road segment level using taxi trajectory data: A graph convolutional neural network approach;Computers, Environment and Urban Systems;2021-05

5. A dual‐stage attention‐based Conv‐LSTM network for spatio‐temporal correlation and multivariate time series prediction;International Journal of Intelligent Systems;2021-01-19

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