Qitao WU

Prof. Dr. Qitao WU

Guangzhou Institute of Geography, Guangzhou, Guangdong, China
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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22 December 2017 in Sustainability
Verified
Journal Article
Open access
PDF file
YYYuyao Ye
Yuyao Ye
CWChangjian Wang
Changjian Wang
YZYuling Zhang
Yuling Zhang
KWkangmin Wu
kangmin Wu
Qitao WUQitao WU
Qitao WU
YSYongxian Su
Yongxian Su
Optimising the spatial structure of cities to promote low-carbon travel is a primary goal of urban planning and construction innovation in the low-carbon era. There is a need for basic research on the structural characteristics that help to reduce motor traffic, thereby promoting energy conservation. We first review the existing literature on the influence of urban spatial structure on transport carbon dioxide emissions and summarise the influence mechanisms. We then present two low-carbon transportation oriented patterns of urban spatial structure including the traditional walking city and the modern transit metropolis, illustrated by case studies. Furthermore, we propose an improved model Green Transportation System Oriented Development (GTOD), which is an extension of traditional transit-oriented development (TOD) and includes the additional features of a walking city and an emphasis on the integration of land use with a green transportation system, consisting of the public transportation and non-auto travel system. A compact urban form, effective mix of land use and appropriate scale of block are the basic structural features of a low-carbon transportation city. However, these features are only effective at promoting low-carbon transportation when integrated with the green traffic systems. Proper integration of the urban structural system with the green space system is also required. The optimal land use/transportation integration strategy is to divide traffic corridors with wedge-shaped green spaces and limit development along the transit corridors. This strategy forms the basis of the proposed urban structural model to promote low-carbon transportation and sustainable urban growth management.

17 November 2014 in Sustainability
Verified
Journal Article
Open access
PDF file
CWChangjian Wang
Changjian Wang
FWFei Wang
Fei Wang
HZHongou Zhang
Hongou Zhang
YYYuyao Ye
Yuyao Ye
Qitao WUQitao WU
Qitao WU
YSYongxian Su
Yongxian Su
Provincial carbon emissions research is necessary for China to realize emissions reduction targets. Two-level decomposition model based on the Kaya identity was applied to uncover the main driving forces for the energy related carbon emissions in Shandong province from 1995 to 2011, an important energy base in China. Coal consumption is still the biggest contributor to the increased carbon emissions in Shandong. Decomposition results show that the affluence effect is the most important contributors to the carbon emissions increments. The energy intensity effect is the dominant factor in curbing carbon emissions. The emission coefficient effect plays an important negative but relatively minor effect on carbon emissions. Based on the local realities, a series of environment-friendly mitigation policies are raised by fully considering all of these influencing factors. Sustainable mitigation policies will pay more attention to the low-carbon economic development along with the significant energy intensity reduction in Shangdong province.

18 June 2016 in Sustainability
Verified
Journal Article
Open access
PDF file
YZYuling Zhang
Yuling Zhang
JZJie Zhang
Jie Zhang
YYYuyao Ye
Yuyao Ye
Qitao WUQitao WU
Qitao WU
LJLixia Jin
Lixia Jin
HZHongou Zhang
Hongou Zhang
Understanding the factors that affect residents’ environmental conservation behaviors help in managing the environment of tourist sites. This research provides an integrative understanding of how residents near tourist sites form their environmental conservation behaviors by merging the norm-activation model and cognitive-affective model into one theoretical framework. Results of the structural analysis from a sample of 642 residents showed that this study’s proposed composite model includes a satisfactory level of predictive power for environmental conservation behaviors. The findings identify the following two dimensions of awareness of environmental consequences as having a key role in predicting environmental conservation behaviors: (1) awareness of positive consequences of environmental protection; and (2) awareness of disaster consequences. Results also show that environment attachment and personal norms about environmentalism played a mediating role between awareness of environmental consequences and environmental conservation behaviors, and that personal norms about environmentalism were the most powerful factor in predicting behaviors. Several practical implications were derived from the research findings that can contribute to environment management policy both within and outside the field of tourism, mostly notably: (1) how the effective promotion of these factors can encourage environmental conservation behaviors for residents; and (2) how governments can develop and implement environmental management measures to improve locals’ awareness of positive consequences of environmental protection.

8 November 2022 in Chinese Geographical Science
Verified
Journal Article
Closed access
PDF file
YLYuanjun Li
Yuanjun Li
Qitao WUQitao WU
Qitao WU
YZYuling Zhang
Yuling Zhang
GHGuangqing Huang
Guangqing Huang
HZHongou Zhang
Hongou Zhang

28 December 2017 in Sustainability
Verified
Journal Article
Open access
PDF file
YYYuyao Ye
Yuyao Ye
SLShengfa Li
Shengfa Li
HZHongou Zhang
Hongou Zhang
YSYongxian Su
Yongxian Su
Qitao WUQitao WU
Qitao WU
CWChangjian Wang
Changjian Wang
Since the 1980s, the rapid, extensive, and dispersed urban expansion in the Pearl River Delta megalopolis (PRDM) has led to landscape fragmentation and the inefficient use of construction land. Like other developed regions in China that are subject to the dual challenges of shortages of construction land and deterioration of the ecological environment, it is becoming increasingly important in the PRDM to improve the land-use efficiency of urban construction. However, current methods for assessing land-use efficiency do not meet the emerging needs of land-use planning and policymaking. Therefore, using the American Defense Meteorological Satellite Program (DMSP)/Operational Linescan System (OLS) nighttime light imagery and Landsat TM data, this study aims to develop a timely and efficient approach to model the high-resolution economic efficiency of construction land (EECL). With this approach, we mapped the reliable EECL of the PRDM at township level and with a one-kilometer grid. Next, the study compared the temporal changes and revealed the spatial-temporal dynamics in order to provide a scientific reference for informed land-use planning and policymaking. The results show that since 1998, the economic efficiency of construction land in the PRDM increased in general but varied significantly throughout the area. Further, these disparities widened from 1998 to 2012 between the PRDM’s inner and peripheral circles. Only one-fifth of the towns and subdistricts were categorized as fast-growth or ultrafast-growth, with the majority located in the most developed areas of the PRDM’s inner circle. In order to improve the efficiency of construction land in the PRDM and realize sustainable development, differentiated land-use policies for the inner and peripheral circles were proposed. The inner circle should focus on promoting the efficiency of existing construction land and encourage urban renewal, while the peripheral circle should enhance the control of new construction land and improve its efficiency.

23 April 2022 in Sustainability
Verified
Journal Article
Open access
PDF file
Visansack KhamphengvongVisansack Khamphengvong
Visansack Khamphengvong
HZHongou Zhang
Hongou Zhang
Qitao WUQitao WU
Qitao WU
TTToulany Thavisay
Toulany Thavisay
The Belt and Road Initiative (BRI) plays a vital role in mobilizing economic and social development and improving national and international connectivity. This research proposes to examine residents’ perceptions of economic and social effects of BRI in Lao PDR. Moreover, it attempts to test the moderating effect of location. A total of 412 survey responses were collected across the country via online survey, and structural equation modeling and multi-group analysis were used to estimate a research model and moderation. The findings reveal that both economic and social determinants have a positive influence on perceived benefit attitudes towards BRI. Specifically, education, tourism, and foreign direct investment (FDI) are the main drivers of the socio-economic benefits, whereas employment and living standards are not. The result confirms the nonexistence of the moderating effect of the location. Our study sheds light on the knowledge of BRI in the Lao PDR context by examining the socio-economic determinants on the perceptions of the local citizens and the moderating effect of location. The government and BRI authority are informed about the factors that explain the benefit of BRI; this information will be useful for future studies.