Zhitao Li

Dr. Zhitao Li

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 July 2024 in Applied Geography
Verified
Journal Article
Closed access
ZLZhitao Li
Zhitao Li
JTJinjun Tang
Jinjun Tang
TFTao Feng
Tao Feng
BLBiao Liu
Biao Liu
JCJunqiang Cao
Junqiang Cao
YJYifeng Ji
Yifeng Ji

1 July 2021 in Physica A: Statistical Mechanics and its Applications
Verified
Journal Article
Closed access
Jinjun TangJinjun Tang
Jinjun Tang
ZLZhitao Li
Zhitao Li
FGFan Gao
Fan Gao
FZFang Zong
Fang Zong

7 July 2023 in Travel Behaviour and Society
Verified
Journal Article
Closed access
ZLZhitao Li
Zhitao Li
FGFan Gao
Fan Gao
CXChenxi Xiao
Chenxi Xiao
JTJinjun Tang
Jinjun Tang

30 August 2024 in Sustainable Cities and Society
Verified
Journal Article
Closed access
ZLZhitao Li
Zhitao Li
JTJinjun Tang
Jinjun Tang
WZWenkang Zhang
Wenkang Zhang
YJYifeng Ji
Yifeng Ji
LCLida Cui
Lida Cui
CZChuyun Zhao
Chuyun Zhao

10 June 2023 in Physica A: Statistical Mechanics and its Applications
Verified
Journal Article
Closed access
ZLZhitao Li
Zhitao Li
CYChen Yuan
Chen Yuan
JTJinjun Tang
Jinjun Tang
KZKexin Zhu
Kexin Zhu
XPXiaoyi Pan
Xiaoyi Pan

14 April 2023 in Remote Sensing
Verified
Journal Article
Open access
PDF file
YJYifeng Ji
Yifeng Ji
YPYou Peng
You Peng
ZLZhitao Li
Zhitao Li
LJLi Jiang
Li Jiang
Shaobo LiuShaobo Liu
Shaobo Liu
TFTao Feng
Tao Feng
To achieve sustainable urban development, it is essential to gain insight into the spatial and temporal differentiation characteristics and the driving mechanisms of the urban thermal environment (UTE). As urbanization continues to accelerate, human activity and landscape configuration and composition interact to complicate the UTE. However, the differences in UTE-driven mechanisms at different stages of urbanization remain unclear. In this study, the UTE of Shenyang was measured quantitatively by using the land surface temperature (LST). The spatial and temporal differentiation characteristics were chronologically studied using the standard deviation ellipse (SDE) and hotspot analysis (Getis–Ord Gi*). Then, the relationship between human activities, landscape composition and landscape configuration and LST was explored in a hierarchical manner by applying the geographical detector. The results show that the UTE in Shenyang continues to deteriorate with rapid urbanization, with significant spatial and temporal differentiation characteristics. The class-level landscape configuration is more important than that at the landscape level when studying UTE-driven mechanisms. At the class level, the increased area and abundance of cropland can effectively reduce LST, while those of impervious surfaces can increase LST. At the landscape level, LST is mainly influenced by landscape composition and human activities. Due to rapid urbanization, the nonlinear relationship between most drivers and LST shifts to near-linear. In the later stage of urbanization, more attention needs to be paid to the effect of the interaction of drivers on LST. At the class level, the interaction between landscape configuration indices for impervious surfaces, cropland and water significantly influenced LST. At the landscape level, the interactions among the normalized difference building index (NDBI) and other selected factors are significant. The findings of this study can contribute to the development of urban planning strategies to optimize the UTE for different stages of urbanization.