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Do different types of urban streets lead to varying Covid-19 risk perceptions? An empirical study from a spatial heterogeneity perspective

Dados Bibliográficos

ID11368403
AutoresYongqi Hou (South China Agricultural University), Chongxian Chen (0009-0002-5614-126X, South China Agricultural University, autor correspondente), Xiaoling Lin (0000-0001-9084-7026, South China Agricultural University), Zhitong Zhang (0000-0002-0708-0096, South China Agricultural University), Xinyi Liu (0000-0002-4767-4737, South China Agricultural University), Jiehang Xie (0000-0001-9003-1975, South China Agricultural University), Shaoping Guan (0009-0006-4542-2778, South China University of Technology)
Ano2024
Volume104
Páginas107336
Data de publicação2024-01-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoEnvironmental Impact Assessment Review (JOURNAL)
Identificadores do periódicoISSN: 0195-9255 • E-ISSN: 1873-6432
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.eiar.2023.107336
OpenAlexW4388550088
IdiomaEN
Citações recebidas6
Referências citadas62

Air quality index · Coronavirus disease 2019 (COVID-19 · Environmental planning · Geography · Openness to experience · Pedestrian · Perception · Perspective (graphical · Quality (philosophy · Risk perception · Spatial heterogeneity · Computer Science · COVID-19 epidemiological studies · Medicine · Psychology · Smoking Behavior and Cessation · Social Psychology · Urban Green Space and Health · Artificial Intelligence · Ecology

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Obras citantes distintas6
Citações por ano6
Intervalo de citações2025 - 2026 (2)
Velocidade de citaçãocurrent
Altamente citadoNão
Tipos de citaçãoNeutras: 6
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