Yingjie Hu

Dr. Yingjie Hu

College of City Construction, Jiangxi Normal University, Nanchang 330022, China

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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1 October 2019 in Journal of Cleaner Production
Verified
Journal Article
Closed access
Yingjie HuYingjie Hu
Yingjie Hu
JZJi Zheng
Ji Zheng
XKXiangbin Kong
Xiangbin Kong
JSJin Sun
Jin Sun
YLYu Li
Yu Li

29 October 2018 in Sustainability
Verified
Journal Article
Open access
PDF file
Yingjie HuYingjie Hu
Yingjie Hu
Xiangbin KongXiangbin Kong
Xiangbin Kong
Ji ZhengJi Zheng
Ji Zheng
JSJin Sun
Jin Sun
LWLinlin Wang
Linlin Wang
MMMingzhe Min
Mingzhe Min
The analysis of urban land expansion and farmland loss is essential to adequately understand the land use change in a rapidly urbanizing China. We found that both urban expansion and farmland loss in Beijing experienced high- and low-speed stages and their spatial patterns were consistent during the past 35 years as most of the newly expanded urban land was converted from farmland. The area of farmland loss by urban expansion in Beijing is 12.6 km2/year, 39.86 km2/year, 23.38 km2/year, and 41.11 km2/year during the period of 1980–1990, 1990–2000, 2000–2010, and 2010–2015, respectively. The urban expansion in Beijing continuously preferred to consume “above average” quality farmland during 1980–2015. Meanwhile, although the urban expansion in Beijing was highly dependent on occupying farmland, the dependence of urban expansion on farmland consumption has declined over time. However, the contribution of urban expansion on farmland loss increased during 1980–2010 and decreased afterward. In order to protect the farmland from urban expansion, we call for more effort to improve the urban land use efficiency with rigid controls over areas of urban expansion.

3 May 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
Ji ZhengJi Zheng
Ji Zheng
Yingjie HuYingjie Hu
Yingjie Hu
Suocheng DONGSuocheng DONG
Suocheng DONG
Yu LiYu Li
Yu Li
Since 2005, China has become the largest emitter of CO2. The transport sector is a major source of CO2 emissions, and the most rapidly growing sector in terms of fuel consumption and CO2 emissions in China. This paper estimated CO2 emissions in the transport sector across 30 provinces through the IPCC (International Panel on Climate Change) top-down method and identified the spatiotemporal pattern of the decoupling of transport CO2 emissions from economic growth during 1995 to 2016 by the modified Tapio’s decoupling model. The CO2 emissions in the transport sector increased from 103.10 million ton (Mt) in 1995 to 701.04 Mt in 2016. The year, 2005, was a turning point as the growth rate of transport CO2 emissions and the intensity of transport CO2 emissions declined. The spatial pattern of transport CO2 emissions and its decoupling status both exhibited an east-west differentiation. Nearly 80% of the provinces recently achieved decoupling, and absolute decoupling is beginning to take place. The local practices of Tianjin should be the subject of special attention. National carbon reduction policies have played a significant role in achieving a transition to low-carbon emissions in the Chinese transport sector, and the integration of multi-scale transport CO2 reduction policies will be promising for its decarbonisation.

17 August 2023 in Atmosphere
Verified
Journal Article
Open access
PDF file
Yingjie HuYingjie Hu
Yingjie Hu
JSJin Sun
Jin Sun
Ji ZhengJi Zheng
Ji Zheng
Analyzing the spatial pattern of urban carbon metabolism could provide insights into spatial adjustments to mitigate the greenhouse effect. Using CASA and empirical coefficients, we quantitatively analyzed and mapped the spatial pattern of the urban carbon metabolism of Beijing and its response to land use change from 2000 to 2020. The results showed that the carbon emission rate of Beijing increased in the first decade and decreased in the next, while the carbon sequestration rate kept rising over the past two decades. The net carbon emission rate of Beijing averaged 1284.52 × 107 kg C yr−1, indicating that the city functioned as a net carbon source throughout the study period. The most harmful carbon transitions were always sourced from the southeastern suburban area, where the natural components were converted to artificial components, while beneficial carbon transitions were in the urban central area, where the artificial component with a higher carbon emission density was converted to the other types of artificial components with relatively a lower carbon emission density, and the northwestern mountainous areas, where land use types transferred out of and into the forest or grass. The spatiotemporal change in urban carbon metabolism was highly correlated with the land use transition, and the land use change from cultivated land to industrial land accounted for 34.87% of the harmful carbon transitions. These results of key carbon flows and hotspots provide insights for policymaking in the effective management of reducing carbon emissions and enhancing carbon sequestration.

18 October 2018 in Sustainability
Verified
Journal Article
Open access
PDF file
JSJin Sun
Jin Sun
LLLiming Liu
Liming Liu
KMKlaus Mueller
Klaus Mueller
PZPeter Zander
Peter Zander
GRGuoping Ren
Guoping Ren
Yingjie HuYingjie Hu
Yingjie Hu
Landscape services are inevitably interlinked with human wellbeing. It is essential to assess landscape services and multifunctionality from both supply and demand points of view toward sustainable landscape management. This study focused on the spatiotemporal variations of the supply, demand, and budget of landscape services in suburban Shanghai, China, including crop production, nutrient regulation, air-quality regulation, soil-erosion regulation, water purification, and recreation and aesthetical value. A new index landscape multifunctionality budget (BMFI) was developed, integrating the budget status of surplus and deficit with landscape management. Spatial autocorrelation analysis and regression analysis were conducted to identify spatial agglomeration and influencing factors of BMFI. Pronounced spatiotemporal heterogeneity of landscape services was observed. BMFI was in surplus status in 2005 and 2010, but turned to deficit in 2015. Landscape service budgets generally followed the spatial pattern of positive in the west and negative in the east. Budget deficits covered half of the villages in 2015, which were mainly situated near central Shanghai with high population density, high average income, and a fragmented and less diverse landscape pattern. Rapid urban sprawl and the following land-cover changes are the main drivers for the spatiotemporal variations. Landscape function zoning with effective economic development and ecological conservation policies can comprehensively improve the competitiveness achieving sustainable future.