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Modeling urban scale human mobility through big data analysis and machine learning · Study

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ArticleModeling urban scale human mobility through big data analysis and machine learning

Yapan Liu2023

Article2023

Modeling urban scale human mobility through big data analysis and machine learning

Yapan Liu · Bing Dong

19 citations·0/0 files stored·Building Simulation

No readable copy stored yet — this record is metadata only.

Human Mobility and Location-Based Analysis Urban Design and Spatial Analysis Traffic Prediction and Management Techniques

Abstract

No abstract was published for this record.

Citations in this library

Stored only when both papers are in the corpus — 19 citations exist upstream.

References

2016Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts 2018DeepMove 2015Understanding Human Mobility from Twitter 2020Aggregated mobility data could help fight COVID-19 2016The TimeGeo modeling framework for urban mobility without travel surveys 2015Uncovering urban human mobility from large scale taxi GPS data 2017Planning Bike Lanes based on Sharing-Bikes' Trajectories 2020Location Prediction over Sparse User Mobility Traces Using RNNs: Flashback in Hidden States!

Details

Year2023

Typearticle

Published2023-08-14

VenueBuilding Simulation

ISSN-L1996-3599

Languageen

Citations19

Files0 public / 0

ShelfHuman Mobility and Location-Based Analysis

Identifiers

doi10.1007/s12273-023-1043-z

openalex_workW4385809530

Links

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