Modeling vibrant areas at nighttime: A machine learning-based analytical framework for urban regeneration-Reference-Cited by-同舟云学术

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Modeling vibrant areas at nighttime: A machine learning-based analytical framework for urban regeneration

Published:2023-12 Issue: Volume:99 Page:104920
ISSN:2210-6707
Container-title:Sustainable Cities and Society
language:en
Short-container-title:Sustainable Cities and Society

Author:

Shi Man Jiang,Cao Qi^ORCID,van Rompaey Anton,Pu Moqiao,Ran Baisong

Funder

National Natural Science Foundation of China

China Scholarship Council

High-end Foreign Experts Recruitment Plan of China

Publisher

Elsevier BV

Subject

Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering,Geography, Planning and Development

Reference89 articles.

1. Modelling urban form: A multidimensional typology of urban occupation for spatial analysis;Abrantes;Environment and planning B, Urban analytics and city science,2019

2. Urban renewal in Hong Kong: Transition from development corporation to renewal authority;Adams;Land use policy,2001

3. Planning rules for a self-planned city;Alfasi;Planning Theory,2007

4. Extracting the planning elements for sustainable urban regeneration in Dubai with AHP (analytic hierarchy process);Awad;Sustainable Cities and Society,2022

5. Controlling pre-loaders: Alcohol related violence in an English nighttime economy;Barton;Drugs and Alcohol Today,2012

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploring non-linear urban vibrancy dynamics in emerging new towns: A case study of the Wuhan metropolitan area;Sustainable Cities and Society;2024-10

2. Identification of 71 factors influencing urban vitality and examination of their spatial dependence: A comprehensive validation applying multiple machine-learning models;Sustainable Cities and Society;2024-08

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