Data-driven predictive modeling of citywide crowd flow for urban safety management : a case study of Beijing, China
He Jiang, Xuxilu Zhang, Yao Dong, Jianzhou Wang
| Year of publication: |
2025
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|---|---|
| Authors: | Jiang, He ; Zhang, Xuxilu ; Dong, Yao ; Wang, Jianzhou |
| Published in: |
Journal of forecasting. - New York, NY : Wiley Interscience, ISSN 1099-131X, ZDB-ID 2001645-1. - Vol. 44.2025, 2, p. 730-752
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| Subject: | citywide crowd flow prediction | graph embedding algorithm | machine learning | spatio-temporal data mining | urban safety management | Künstliche Intelligenz | Artificial intelligence | Data Mining | Data mining | China | Algorithmus | Algorithm | Prognoseverfahren | Forecasting model |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1002/for.3216 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015374083