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Dr. Lijun Zhang
Henan University

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0 urban form
0 low-carbon city
0 travel behavior
0 household carbon emissions
0 industrial agglomeration

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Journal article
Published: 11 December 2020 in Water
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Coordinating the “green” and “gray” infrastructure construction and the socioeconomic development is essential to sponge city construction. Most previous research has investigated the structural and non-structural approach for urban water management, such as operational practice, engineered measures, technical solutions, or planning management. However, there is a shortage of strategic management approaches to identify pilot sponge cities, which is essential to cities in developing countries under huge financial pressures. Hence, this paper proposed a coupling coordination evaluation index system to assess the coordination degree between economic development and infrastructure construction in Henan Province in central China. Then, the paper analyzed the differences of the coordination level and its spatial statistical pattern of the coupled and coordinated development of sponge city construction in Henan Province. The results show that: (1) from the perspective of comprehensive level, the problems of inadequate and unbalanced development of infrastructure construction and economic development level are prominent; (2) from the perspective of coordinated development level, the level of coupling and coordination development in Henan Province increased during the sample period, but the level of coupling and coordination development in each region was small; (3) from the perspective of relative development, Zhengzhou City is lagging behind in infrastructure, indicating that economic growth is faster than infrastructure construction, and other regions are lagging economic development, indicating that infrastructure construction is faster than economic growth; and (4) from the spatial statistical analysis, there is spatial positive correlation, that is, the area with high coupling degree of infrastructure construction and economic development level tends to be significantly concentrated in space. Studies have shown that Henan Province should focus on strengthening the construction of “green” infrastructure and increasing the infiltration of the underlying surface to counter the precipitation in urban areas in extreme climates.

ACS Style

Kun Wang; Lijun Zhang; Lulu Zhang; Shujuan Cheng. Coupling Coordination Assessment on Sponge City Construction and Its Spatial Pattern in Henan Province, China. Water 2020, 12, 3482 .

AMA Style

Kun Wang, Lijun Zhang, Lulu Zhang, Shujuan Cheng. Coupling Coordination Assessment on Sponge City Construction and Its Spatial Pattern in Henan Province, China. Water. 2020; 12 (12):3482.

Chicago/Turabian Style

Kun Wang; Lijun Zhang; Lulu Zhang; Shujuan Cheng. 2020. "Coupling Coordination Assessment on Sponge City Construction and Its Spatial Pattern in Henan Province, China." Water 12, no. 12: 3482.

Journal article
Published: 28 August 2020 in Sensors
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Accurately quantifying spatiotemporal changes in surface water is essential for water resources management, nevertheless, the dynamics of Poyang Lake surface water areas with high spatiotemporal resolution, as well as its responses to climate change, still face considerable uncertainties. Using the time series of Sentinel-1 images with 6- or 12-day intervals, the Sentinel-1 water index (SWI), and SWI-based water extraction model (SWIM) from 2015 to 2020 were used to document and study the short-term characteristics of southwest Poyang Lake surface water. The results showed that the overall accuracy of surface water area was satisfactory with an average of 91.92%, and the surface water area ranged from 129.06 km2 on 2 March 2017 to 1042.57 km2 on 17 July 2016, with significant intra- and inter-month variability. Within the 6-day interval, the maximum change of lake area was 233.42 km2 (i.e., increasing from 474.70 km2 up to 708.12 km2). We found that the correlation coefficient between the water area and the 45-day accumulated precipitation reached to 0.75 (p < 0.001). Moreover, a prediction model was built to predict the water area based on climate records. These results highlight the significance of high spatiotemporal resolution mapping for surface water in the erratic southwest Poyang Lake under a changing climate. The automated water extraction algorithm proposed in this study has potential applications in delineating surface water dynamics at broad geographic scales.

ACS Style

Haifeng Tian; Jian Wang; Jie Pei; Yaochen Qin; Lijun Zhang; Yongjiu Wang. High Spatiotemporal Resolution Mapping of Surface Water in the Southwest Poyang Lake and Its Responses to Climate Oscillations. Sensors 2020, 20, 4872 .

AMA Style

Haifeng Tian, Jian Wang, Jie Pei, Yaochen Qin, Lijun Zhang, Yongjiu Wang. High Spatiotemporal Resolution Mapping of Surface Water in the Southwest Poyang Lake and Its Responses to Climate Oscillations. Sensors. 2020; 20 (17):4872.

Chicago/Turabian Style

Haifeng Tian; Jian Wang; Jie Pei; Yaochen Qin; Lijun Zhang; Yongjiu Wang. 2020. "High Spatiotemporal Resolution Mapping of Surface Water in the Southwest Poyang Lake and Its Responses to Climate Oscillations." Sensors 20, no. 17: 4872.

Journal article
Published: 15 June 2020 in Journal of Cleaner Production
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Low-carbon cognition can potentially impact low-carbon behavior, playing an important role in sustainable urban development. Traditional low-carbon cognition research has paid little attention to the built environment, causing an underestimation of the influence of urban spatial planning and regulation. Therefore, we constructed an analytical framework of low-carbon cognition and integrated the built environment 5D variables with local forces to investigate the cultural, local, and personal impact of low-carbon cognition. Low-carbon cognition in terms of energy use, daily travel, and consumption for 1485 households in Zhengzhou City was empirically studied. The results show that residents’ low-carbon cognition is hierarchical. Low-carbon travel cognition is highly susceptible to the external environment, while low-carbon energy use cognition is susceptible to cultural factors. There are differences in the effects of the three forces on residents’ low-carbon cognition. The personal and cultural forces have a greater impact on residents’ low-carbon energy use and consumption cognition, while the local force affects various low-carbon cognition of residents. The heterogeneity of the built environmental impact should be focused on. The “5D” built environment (Density, Diversity, Design, Distance to transit, and Destination accessibility) positively affects the level of low-carbon travel cognitive, but negatively affects the level of low-carbon consumption cognitive. This study comprehensively analyzes the low-carbon cognition of energy use, daily travel, and consumption, objectively measures the impact of “Regional force” on low-carbon cognition, and determines the heterogeneous effect of the external built environment on low-carbon cognition. We provide detailed policy recommendations for the construction of low-carbon cities and transformation of residents’ living behaviors.

ACS Style

Jingfei Zhang; Lijun Zhang; Yaochen Qin; Xia Wang; Zhicheng Zheng. Influence of the built environment on urban residential low-carbon cognition in zhengzhou, China. Journal of Cleaner Production 2020, 271, 122429 .

AMA Style

Jingfei Zhang, Lijun Zhang, Yaochen Qin, Xia Wang, Zhicheng Zheng. Influence of the built environment on urban residential low-carbon cognition in zhengzhou, China. Journal of Cleaner Production. 2020; 271 ():122429.

Chicago/Turabian Style

Jingfei Zhang; Lijun Zhang; Yaochen Qin; Xia Wang; Zhicheng Zheng. 2020. "Influence of the built environment on urban residential low-carbon cognition in zhengzhou, China." Journal of Cleaner Production 271, no. : 122429.

Journal article
Published: 18 February 2020 in Sustainability
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There are industry lock-in and regional lock-in phenomena in China’s manufacturing industry carbon emissions. However, the existing researches often focus on global carbon emissions, which is not adverse to finding the main problems of manufacturing industry carbon emissions. The biggest contributions of this study are the identification of the industry lock-in and regional lock-in of China’s manufacturing industry and the finding of the regional factors that affect the carbon lock-in of the manufacturing industry, which points out the direction for the low-carbon transformation of the local manufacturing industry. This paper is based on the IPCC (Intergovernmental Panel on Climate Change) carbon emissions coefficient method and energy consumption data from 2000 to 2016 to count the manufacturing industry carbon emissions of 30 provinces in China (except Hong Kong, Macao, Taiwan and Tibet). On this basis, the paper uses a spatial–temporal geographical weighted regression (GTWR) model to analysis the regional influencing factors of the high-carbon manufacturing industry. Results demonstrate that China’s high-carbon manufacturing industry mainly concentrates on the ferrous metal processing industry, non-metallic mineral manufacturing industry and other sectors. In addition, the carbon emissions of high-carbon manufacturing industries are mainly concentrated in Bohai Bay and the North China Plain. The industrial structure and economic scale are the main reasons for the regional carbon lock-in of the high-carbon manufacturing industry, and the strength of the lock-in has continued to increase. Resource endowment is a stable factor of carbon lock-in in high-carbon regions. Technological progress helps to unlock carbon, while foreign direct investment results in the enhancement of carbon regional lock-in. This study focuses on the regional factors of carbon lock-in in the manufacturing industry, hoping to provide decision support for the green development of China’s manufacturing industry.

ACS Style

Xia Wang; Lijun Zhang; Yaochen Qin; Jingfei Zhang. Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors. Sustainability 2020, 12, 1502 .

AMA Style

Xia Wang, Lijun Zhang, Yaochen Qin, Jingfei Zhang. Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors. Sustainability. 2020; 12 (4):1502.

Chicago/Turabian Style

Xia Wang; Lijun Zhang; Yaochen Qin; Jingfei Zhang. 2020. "Analysis of China’s Manufacturing Industry Carbon Lock-In and Its Influencing Factors." Sustainability 12, no. 4: 1502.

Journal article
Published: 03 December 2019 in Sustainability
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Current resident lifestyles pose a significant threat to urban sustainable development. Therefore, low-carbon behavior is receiving increasing attention from scholars and policy makers. Ascertaining residential self-selection is essential in order to study the relationship between the built environment and travel behavior. While several studies have explored the relationship between the urban form, socioeconomic factors, and travel behavior, only a few of them have studied the impact of self-selection on household energy consumption and other forms of consumption, which are also contribute to household carbon emissions. Using large-scale field surveys of 1,485 households and high-resolution images, sourced from Google Maps in 2018, of Zhengzhou city, the present study estimated the low-carbon level of three kinds of behavior: daily energy use at home, daily travel, and daily consumption. The study investigated the influence factors on low-carbon behavior using the hierarchical linear model. We found that residential self-selection impacts both energy use and daily travel. Residents in some built environments consumed less energy at home and contributed less CO2 emissions through daily travel than others. In particular, individual-level variables significantly affected the low-carbon energy use behavior. The female, elderly, highly educated, married, and working-class residents with children had higher levels of low-carbon energy use. Community-level variables significantly affected the level of low-carbon travel and low-carbon consumption. If residents lived in areas with high density, mixed land use, and high accessibility, their travel mode and consumption behavior would entail low carbon emissions. There is a relationship between individual variables and community variables. Different individual attributes living in the same built environment have different impacts on low-carbon behaviors.

ACS Style

Jingfei Zhang; Lijun Zhang; Yaochen Qin; Xia Wang; Zhicheng Zheng. Impact of Residential Self-Selection on Low-Carbon Behavior: Evidence from Zhengzhou, China. Sustainability 2019, 11, 6871 .

AMA Style

Jingfei Zhang, Lijun Zhang, Yaochen Qin, Xia Wang, Zhicheng Zheng. Impact of Residential Self-Selection on Low-Carbon Behavior: Evidence from Zhengzhou, China. Sustainability. 2019; 11 (23):6871.

Chicago/Turabian Style

Jingfei Zhang; Lijun Zhang; Yaochen Qin; Xia Wang; Zhicheng Zheng. 2019. "Impact of Residential Self-Selection on Low-Carbon Behavior: Evidence from Zhengzhou, China." Sustainability 11, no. 23: 6871.

Journal article
Published: 28 February 2019 in Sustainability
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The Loess Plateau is located at the transition zone between agriculture and livestock farming; its spatial and temporal pattern of drought is the key for an appropriate adaptation to climate change. This study investigated monthly meteorological observation data of 79 meteorological stations from 1955 to 2014 to calculate the standardized precipitation evapotranspiration index at different time scales. The spatial and temporal characteristics and persistence of drought were analyzed. The results showed the following: (i) The drought trend is most apparent in spring (0.096/10a) and lower in summer (0.036/10a) and autumn (0.009/10a). (ii) A higher drought level indicates a lower frequency of droughts occurrence and vice versa. The frequency of light drought was highest (11.36%), while that of extreme drought was lowest (0.12%). (iii) The mean drought intensity was highest in summer, followed by spring, autumn, and winter. The drought intensity was mainly light, showing a pattern of severe drought in the northwest and light drought in the southeast. (iv) The Loess Plateau will continue a trend of drought in the future, but the season of the continuous intensity will differ. Droughts in spring and summer are highly persistent, autumn drought trends continue but may slow, and winter droughts become random events.

ACS Style

Yang Li; Zhixiang Xie; Yaochen Qin; Haoming Xia; Zhicheng Zheng; Lijun Zhang; Ziwu Pan; Zhenzhen Liu. Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau. Sustainability 2019, 11, 1281 .

AMA Style

Yang Li, Zhixiang Xie, Yaochen Qin, Haoming Xia, Zhicheng Zheng, Lijun Zhang, Ziwu Pan, Zhenzhen Liu. Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau. Sustainability. 2019; 11 (5):1281.

Chicago/Turabian Style

Yang Li; Zhixiang Xie; Yaochen Qin; Haoming Xia; Zhicheng Zheng; Lijun Zhang; Ziwu Pan; Zhenzhen Liu. 2019. "Drought Under Global Warming and Climate Change: An Empirical Study of the Loess Plateau." Sustainability 11, no. 5: 1281.

Journal article
Published: 22 February 2019 in Sustainability
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The accessibility of hospital facilities is of great importance not only for maintaining social stability, but also for protecting the basic human right to health care. Traditional accessibility research often lacks consideration of the dynamic changes in transport costs and does not reflect the actual travel time of urban residents, which is critical to time-sensitive hospital services. To avoid these defects, this study considered the city of Kaifeng, China, as an empirical case, and directly acquired travel time data for two travel modes to the hospital in different time periods through web mapping API (Application Program Interface). Further, based on travel time calculations, we compared five baseline indicators. For the last indicator, we used the optimal weighted accessibility model to measure hospital accessibility for each residential area. The study discovered significant differences in the frequency and spatial distribution of hospital accessibility using public transit and self-driving modes of transportation. In addition, there is an imbalance between accessibility travel times in the study area and the number of arrivals at hospitals. In particular, different modes of transportation and different travel periods also have a certain impact on accessibility of medical treatment. The research results shed new light on the accessibility of urban public facilities and provide a scientific basis with which local governments can optimize the spatial structure of hospital resources.

ACS Style

Zhicheng Zheng; Haoming Xia; Shrinidhi Ambinakudige; Yaochen Qin; Yang Li; Zhixiang Xie; Lijun Zhang; Haibin Gu. Spatial Accessibility to Hospitals Based on Web Mapping API: An Empirical Study in Kaifeng, China. Sustainability 2019, 11, 1160 .

AMA Style

Zhicheng Zheng, Haoming Xia, Shrinidhi Ambinakudige, Yaochen Qin, Yang Li, Zhixiang Xie, Lijun Zhang, Haibin Gu. Spatial Accessibility to Hospitals Based on Web Mapping API: An Empirical Study in Kaifeng, China. Sustainability. 2019; 11 (4):1160.

Chicago/Turabian Style

Zhicheng Zheng; Haoming Xia; Shrinidhi Ambinakudige; Yaochen Qin; Yang Li; Zhixiang Xie; Lijun Zhang; Haibin Gu. 2019. "Spatial Accessibility to Hospitals Based on Web Mapping API: An Empirical Study in Kaifeng, China." Sustainability 11, no. 4: 1160.

Journal article
Published: 13 May 2014 in Journal of Geographical Sciences
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Accurate and detailed accounting of energy-induced carbon dioxide (CO2) emissions is crucial to the evaluation of pressures on natural resources and the environment, as well as to the assignment of responsibility for emission reductions. However, previous emission inventories were usually production- or consumption-based accounting, and few studies have comprehensively documented the linkages among socio-economic activities and external transaction in urban areas. Therefore, we address this gap in proposing an analytical framework and accounting system with three dimensions of boundaries to comprehensively assess urban energy use and related CO2 emissions. The analytical framework depicted the input, transformation, transfer and discharge process of the carbon-based (fossil) energy flows through the complex urban ecosystems, and defined the accounting scopes and boundaries on the strength of ‘carbon footprint’ and ‘urban metabolism’. The accounting system highlighted the assessment for the transfer and discharge of socio-economic subsystems with different spatial boundaries. Three kinds methods applied to Beijing City explicitly exhibited the accounting characteristics. Our research firstly suggests that urban carbon-based energy metabolism can be used to analyze the process and structure of urban energy consumption and CO2 emissions. Secondly, three kinds of accounting methods use different benchmarks to estimate urban energy use and CO2 emissions with their distinct strength and weakness. Thirdly, the empirical analysis in Beijing City demonstrate that the three kinds of methods are complementary and give different insights to discuss urban energy-induced CO2 emissions reduction. We deduce a conclusion that carbon reductions responsibility can be assigned in the light of production, consumption and shared responsibility based principles. Overall, from perspective of the industrial and energy restructuring and the residential lifestyle changes, our results shed new light on the analysis on the evolutionary mechanism and pattern of urban energy-induced CO2 emissions with the combination of three kinds of methods. And the spatial structure adjustment and technical progress provides further elements for consideration about the scenarios of change in urban energy use and CO2 emissions.

ACS Style

Lijun Zhang; Gang-Jun Liu; Yaochen Qin. Multi-scale integrated assessment of urban energy use and CO2 emissions. Journal of Geographical Sciences 2014, 24, 651 -668.

AMA Style

Lijun Zhang, Gang-Jun Liu, Yaochen Qin. Multi-scale integrated assessment of urban energy use and CO2 emissions. Journal of Geographical Sciences. 2014; 24 (4):651-668.

Chicago/Turabian Style

Lijun Zhang; Gang-Jun Liu; Yaochen Qin. 2014. "Multi-scale integrated assessment of urban energy use and CO2 emissions." Journal of Geographical Sciences 24, no. 4: 651-668.