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Xiaoxuan Wei

Biographic Data

ID6271435
NAMEXiaoxuan Wei
GIVEN NAMESXiaoxuan
FAMILY NAMEWei
SIGNATUREWEI X
AFFILIATIONSChongqing University
ORCID0000-0002-2163-9888
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS37
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2025
H-INDEX5
  • The welfare performance of low-carbon city practice

    Open Access•Xiaoyun Du, Chenyang Ma et al.•ARTICLE•Habitat International•2025•Cited by: 5•References: 99

  • How can multi-source heterogeneous data contribute to assessing urban transportation carrying capacity

    Open Access•Xiaoxuan Wei, Liyin Shen et al.•ARTICLE•Environmental Impact Assessment…•2024•Cited by: 1•References: 52

    Urban transportation carrying capacity (UTCC) plays a crucial role in sustainable urban development during rapid urbanisation. With the booming of big-data technologies, diverse multi-source heterogeneous data, including point of interest data, nighttime light data and congestion performance data, have been employed extensively to evaluate transportation performance. However, limited research has explored UTCC using such diverse data sources. The…

  • An improved indicator standardization method for multi-indicator composite evaluation

    Open Access•Linbo Zhang, Liang Tian et al.•ARTICLE•Environmental Impact Assessment…•2024•Cited by: 4•References: 40

  • Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks

    Open Access•Xiaoxuan Wei, Meng Ye et al.•ARTICLE•International Journal of…•2022

    Unlike their counterparts that are used for container or municipal solid waste hauling, or their peers of taxies and other commercial vehicles, construction waste hauling trucks (CWHTs) are heterogeneous in that they transport construction waste from construction sites to designated disposal facilities. Depending on the intensity of the construction activities, there are many CWHTs in operation, imposing massive impacts on a region's transportati…

  • A health risk-based threshold method to evaluate Urban Atmospheric Environment Carrying Capacity in Beijing-Tianjin-Hebei (BTH) Region

    Open Access•Liyin Shen, Zhenchuan Yang et al.•ARTICLE•Environmental Impact Assessment…•2022•Cited by: 7•References: 62

    Urban atmospheric environment protection is an important strategy for sustainable urban development. Nevertheless, serious atmospheric pollution problems caused by socioeconomic activities have become a global issue, which brings enormous pressure on human health. However, as the core of urban sustainability, the human health risk is not adopted as an element to evaluate the Urban Atmospheric Environment Carrying Capacity (UAECC) in previous stud…

  • Exploring the spatiotemporal pattern of traffic congestion performance of large cities in China

    Open Access•Xiaoxuan Wei, Yitian Ren et al.•ARTICLE•Environmental Impact Assessment…•2022•Cited by: 6•References: 51

    The socioeconomic costs of traffic congestion are crippling in urbanising China. This study is a first attempt to explore the spatiotemporal pattern of traffic congestion performance in 77 Chinese large cities by using real-time big data. Based upon the hourly real-time traffic performance index data collected between August 27, 2019 to September 27, 2019, four clusters of cities have been captured in line with their urban traffic congestion patt…

  • Capability Maturity Model (CMM) method for assessing the performance of low-carbon city practice

    Open Access•Liyin Shen, Xiaoyun Du et al.•ARTICLE•Environmental Impact Assessment…•2021•Cited by: 6•References: 32

  • An alternative model for evaluating the balance of carrying capacity between functional urban infrastructures

    Open Access•Jinhuan Wang, Liyin Shen et al.•ARTICLE•Environmental Impact Assessment…•2019•Cited by: 8•References: 69

  • An alternative model for evaluating the balance of carrying capacity between functional urban infrastructures

    Open Access•Jinhuan Wang, Liyin Shen et al.•ARTICLE•Environmental Impact Assessment…•2019•Cited by: 8•References: 69

  • A health risk-based threshold method to evaluate Urban Atmospheric Environment Carrying Capacity in Beijing-Tianjin-Hebei (BTH) Region

    Open Access•Liyin Shen, Zhenchuan Yang et al.•ARTICLE•Environmental Impact Assessment…•2022•Cited by: 7•References: 62

    Urban atmospheric environment protection is an important strategy for sustainable urban development. Nevertheless, serious atmospheric pollution problems caused by socioeconomic activities have become a global issue, which brings enormous pressure on human health. However, as the core of urban sustainability, the human health risk is not adopted as an element to evaluate the Urban Atmospheric Environment Carrying Capacity (UAECC) in previous stud…

  • Exploring the spatiotemporal pattern of traffic congestion performance of large cities in China

    Open Access•Xiaoxuan Wei, Yitian Ren et al.•ARTICLE•Environmental Impact Assessment…•2022•Cited by: 6•References: 51

    The socioeconomic costs of traffic congestion are crippling in urbanising China. This study is a first attempt to explore the spatiotemporal pattern of traffic congestion performance in 77 Chinese large cities by using real-time big data. Based upon the hourly real-time traffic performance index data collected between August 27, 2019 to September 27, 2019, four clusters of cities have been captured in line with their urban traffic congestion patt…

  • Capability Maturity Model (CMM) method for assessing the performance of low-carbon city practice

    Open Access•Liyin Shen, Xiaoyun Du et al.•ARTICLE•Environmental Impact Assessment…•2021•Cited by: 6•References: 32

  • The welfare performance of low-carbon city practice

    Open Access•Xiaoyun Du, Chenyang Ma et al.•ARTICLE•Habitat International•2025•Cited by: 5•References: 99

  • An improved indicator standardization method for multi-indicator composite evaluation

    Open Access•Linbo Zhang, Liang Tian et al.•ARTICLE•Environmental Impact Assessment…•2024•Cited by: 4•References: 40

  • How can multi-source heterogeneous data contribute to assessing urban transportation carrying capacity

    Open Access•Xiaoxuan Wei, Liyin Shen et al.•ARTICLE•Environmental Impact Assessment…•2024•Cited by: 1•References: 52

    Urban transportation carrying capacity (UTCC) plays a crucial role in sustainable urban development during rapid urbanisation. With the booming of big-data technologies, diverse multi-source heterogeneous data, including point of interest data, nighttime light data and congestion performance data, have been employed extensively to evaluate transportation performance. However, limited research has explored UTCC using such diverse data sources. The…

  • An alternative model for evaluating the balance of carrying capacity between functional urban infrastructures

    Open Access•Jinhuan Wang, Liyin Shen et al.•ARTICLE•Environmental Impact Assessment…•2019•Cited by: 8•References: 69

  • Capability Maturity Model (CMM) method for assessing the performance of low-carbon city practice

    Open Access•Liyin Shen, Xiaoyun Du et al.•ARTICLE•Environmental Impact Assessment…•2021•Cited by: 6•References: 32

  • Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks

    Open Access•Xiaoxuan Wei, Meng Ye et al.•ARTICLE•International Journal of…•2022

    Unlike their counterparts that are used for container or municipal solid waste hauling, or their peers of taxies and other commercial vehicles, construction waste hauling trucks (CWHTs) are heterogeneous in that they transport construction waste from construction sites to designated disposal facilities. Depending on the intensity of the construction activities, there are many CWHTs in operation, imposing massive impacts on a region's transportati…

  • A health risk-based threshold method to evaluate Urban Atmospheric Environment Carrying Capacity in Beijing-Tianjin-Hebei (BTH) Region

    Open Access•Liyin Shen, Zhenchuan Yang et al.•ARTICLE•Environmental Impact Assessment…•2022•Cited by: 7•References: 62

    Urban atmospheric environment protection is an important strategy for sustainable urban development. Nevertheless, serious atmospheric pollution problems caused by socioeconomic activities have become a global issue, which brings enormous pressure on human health. However, as the core of urban sustainability, the human health risk is not adopted as an element to evaluate the Urban Atmospheric Environment Carrying Capacity (UAECC) in previous stud…

  • Exploring the spatiotemporal pattern of traffic congestion performance of large cities in China

    Open Access•Xiaoxuan Wei, Yitian Ren et al.•ARTICLE•Environmental Impact Assessment…•2022•Cited by: 6•References: 51

    The socioeconomic costs of traffic congestion are crippling in urbanising China. This study is a first attempt to explore the spatiotemporal pattern of traffic congestion performance in 77 Chinese large cities by using real-time big data. Based upon the hourly real-time traffic performance index data collected between August 27, 2019 to September 27, 2019, four clusters of cities have been captured in line with their urban traffic congestion patt…

  • How can multi-source heterogeneous data contribute to assessing urban transportation carrying capacity

    Open Access•Xiaoxuan Wei, Liyin Shen et al.•ARTICLE•Environmental Impact Assessment…•2024•Cited by: 1•References: 52

    Urban transportation carrying capacity (UTCC) plays a crucial role in sustainable urban development during rapid urbanisation. With the booming of big-data technologies, diverse multi-source heterogeneous data, including point of interest data, nighttime light data and congestion performance data, have been employed extensively to evaluate transportation performance. However, limited research has explored UTCC using such diverse data sources. The…

  • An improved indicator standardization method for multi-indicator composite evaluation

    Open Access•Linbo Zhang, Liang Tian et al.•ARTICLE•Environmental Impact Assessment…•2024•Cited by: 4•References: 40

  • The welfare performance of low-carbon city practice

    Open Access•Xiaoyun Du, Chenyang Ma et al.•ARTICLE•Habitat International•2025•Cited by: 5•References: 99

Business (6 works) · Engineering (6 works) · Environmental Science (6 works) · Urban Transport and Accessibility (6 works) · China (4 works) · Computer Science (4 works) · Economics (4 works) · Environmental planning (4 works) · Geography (4 works) · Sustainable development (4 works)

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