February 13, 2024Scientific ReportsOpen Access

A new framework for assessment of park management in smart cities: a study based on social media data and deep learning

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Authors

SLSijia LiuHarbin Medical University CTChuandong TanHuazhong Agricultural University FDF. DengWuhan University

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Implication

Computational framework demonstrates real-time evaluation of park facilities and services across urban recreation sites, highlighting pathways to improve smart city management.

Key Points

A deep learning framework accurately evaluates park management quality across seven urban sites in Wuhan City, capturing real-time visitor sentiment and usage patterns.
Assessment using social media data quantitatively scores park facilities, safety measures, environment, activities, and services to reveal critical operational deficiencies.
Intelligent park management via artificial intelligence and big data may enable smart cities to boost service quality, guiding targeted refurbishments and operational upgrades.

Cite This Study

Liu et al. (2024) studied this question.

synapsesocial.com/papers/68e7956cb6db643587705e27 https://doi.org/10.1038/s41598-024-53345-0

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Implication

Computational framework demonstrates real-time evaluation of park facilities and services across urban recreation sites, highlighting pathways to improve smart city management.

A new framework for assessment of park management in smart cities: a study based on social media data and deep learning

Discussion

Member takes

Implication

Key Points

Cite This Study

A new framework for assessment of park management in smart cities: a study based on social media data and deep learning

Discussion

Member takes

Implication

Key Points

Cite This Study

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