Shaoying Li

Dr. Shaoying Li

orcid

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

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

Representative Publications

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5 January 2021 in International Journal of Geographical Information Science
Verified
Journal Article
Closed access
Feng GaoFeng Gao
Feng Gao
SLShaoying Li
Shaoying Li
ZTZhangzhi Tan
Zhangzhi Tan
ZWZhifeng Wu
Zhifeng Wu
XZXiaoming Zhang
Xiaoming Zhang
ZHZiwei Huang
Ziwei Huang
Understanding the influence mechanisms of dockless bike-sharing usage is essential for land use planning and bike scheduling strategy implementation. Although various studies have been carried out to explore the impact of built environment (BE) factors on bike-sharing usage, few studies have examined the modifiable areal unit problem (MAUP). Moreover, previous studies mainly focused on the separate effect of each factor but neglected the interactions between these factors. Taking Shenzhen, China as the case, this study fills these two gaps by employing the geographical detector method to examine the MAUP in dockless bike-sharing usage as well as the interactive effects of BE factors. The results revealed that the influences of most BE variables are sensitive to the spatial areal units, which have informed urban planners what built-environment factors should be paid more attention to at certain spatial scales. Additionally, through the comparisons between single effect and interactive effect, this study revealed some interesting findings that can provide scientific basis for temporal rebalance strategy for the innovative and high-density metropolis in China.

Verified
Journal Article
Open access
PDF file
Feng GaoFeng Gao
Feng Gao
SLShaoying Li
Shaoying Li
Zhangzhi TanZhangzhi Tan
Zhangzhi Tan
XZXiaoming Zhang
Xiaoming Zhang
Zhipeng LaiZhipeng Lai
Zhipeng Lai
ZTZiling Tan
Ziling Tan
Dockless bike sharing plays an important role in residents’ daily travel, traffic congestion, and air pollution. Recently, urban greenness has been proven to be associated with bike sharing usage around metro stations using a global model. However, their spatial associations and bike sharing usage on public holidays have seldom been explored in previous studies. In this study, urban greenness was obtained objectively using eye-level greenness with street-view images by deep learning segmentation and overhead view greenness from the normalized difference vegetation index (NDVI). Geographically weighted regression (GWR) was applied to fill the research gap by exploring the spatially varying association between dockless bike sharing usage on weekdays, weekends, and holidays, and urban greenness indicators as well as other built environment factors. The results showed that eye-level greenness was positively associated with bike sharing usage on weekdays, weekends, and holidays. Overhead-view greenness was found to be negatively related to bike usage on weekends and holidays, and insignificant on weekdays. Therefore, to promote bike sharing usage and build a cycling-friendly environment, the study suggests that the relevant urban planner should pay more attention to eye-level greenness exposure along secondary roads rather than the NDVI. Most importantly, planning implications varying across the study area during different days were proposed based on GWR results. For example, the improvement of eye-level greenness might effectively promote bike usage in northeastern and southern Futian districts and western Nanshan on weekdays. It also helps promote bike usage in Futian and Luohu districts on weekends, and in southern Futian and southeastern Nanshan districts on holidays.

26 February 2018 in Sustainability
Verified
Journal Article
Open access
PDF file
SLShaoying Li
Shaoying Li
Xiaoping LiuXiaoping Liu
Xiaoping Liu
Zhigang LiZhigang Li
Zhigang Li
ZWZhifeng Wu
Zhifeng Wu
ZYZijun Yan
Zijun Yan
Feng GaoFeng Gao
Feng Gao
Understanding the urban expansion process along inter-city rail transit corridors is critical to regional integration of city groups. Though numerous studies have considered the influences of rail transit on land use and urban form, most have focused on local station areas or intra-city urban structures. Few studies have examined the effects and dynamic process along inter-city rail transit corridors at a regional scale. In this study, multi-remote sensing images, landscape metrics and gradient analysis were combined to investigate the spatial and temporal dynamics of urban expansion and regional structural changes along the GuangFo inter-city Metro in the Pearl River Delta, south China. We introduced Thiessen Polygon into quadrat zoning for landscape gradient analysis, and clearly revealed the spatial variations of landscape changes along the metro transect. The regional expansion stage and inter-city structural changes were further detected based on the theoretical framework of diffusion-coalescence growth. This study revealed that during its construction the GuangFo Metro significantly impacted urban expansion at the urban fringes. Before construction the urban patches became irregular and fragmented as the gradient moved from city centers to city fringes. Influenced by the GuangFo Metro, the urban patches expanded and consequently coalesced into a homogenous urbanized area, which indicated that coalescence was the dominant expansion stage and the regional structure become more aggregated. This suggested that the inter-city rail transit has played an important role in promoting the integration of the GuangFo metropolitan region.

25 April 2022 in Journal of Geovisualization and Spatial Analysis
Verified
Journal Article
Closed access
PDF file
FGFeng Gao
Feng Gao
SLShaoying Li
Shaoying Li
ZTZhangzhi Tan
Zhangzhi Tan
SLShunyi Liao
Shunyi Liao

1 December 2021 in Journal of Cleaner Production
Verified
Journal Article
Closed access
ZHZiwei Huang
Ziwei Huang
SLShaoying Li
Shaoying Li
FGFeng Gao
Feng Gao
FWFang Wang
Fang Wang
Jinyao LinJinyao Lin
Jinyao Lin
ZTZiling Tan
Ziling Tan

31 December 2024 in Energy and Buildings
Verified
Journal Article
Closed access
YHYuqin Huang
Yuqin Huang
SLShaoying Li
Shaoying Li
Jinyao LinJinyao Lin
Jinyao Lin
LZLixuan Zheng
Lixuan Zheng
CZCaigang Zhuang
Caigang Zhuang
YZYaye Zhuang
Yaye Zhuang