苏州科技大学机构知识库
成果筛选
索引收录
共找到235结果
筛选条件 : SSCI
Chen, Jinliu; Pellegrini, Paola; Yang, Zhuo; Wang, Haoqi
Sustainability, 2023 15 (10) - SCIE SSCI

摘要 : China is gradually shifting towards more sustainable urban development, and the local governments are increasingly promoting social and environmentally sustainable spatial planning practices. This article debates the potential contradiction between the goal of a constantly growing urban population and the limits to the consumption of land planned by this new direction of urban development. The analysis focuses on the wealthy city of Suzhou in the Yangtse River Delta region and explores the opportunities for densification of the residential areas as a possible solution for this contradiction, as already tested by some Chinese cases for land use efficiency. The research applies GIS-based spatial analysis and identifies some of the sites that can be efficiently redeveloped in the resettlement communities for their low floor area ratio (FAR) and obsolescent conditions, which do not correspond to the increasingly middle-class status of the residents in the urban region. The article investigates the different options of a densification strategy in the frame of the policies of urban renewal promoted in China in recent years for improving the quality of the built environment. © 2023 by the authors.

Liu, Xun; Xue, Zhiyuan; Ding, Zhenhan; Chen, Siyu
Sustainability, 2023 15 (6) - SCIE SSCI

摘要 : The goals of sustainable development are constantly negatively impacted by infrastructure initiatives. The importance of these projects in advancing the economic, social, and civilizational growth of the country will, however, prevent their construction from being stopped. The overall construction of the project is related to the scientific and unbiased assessment of an infrastructure project’s sustainability throughout the decision-making stage. Based on the references documents, this paper establishes an index system for evaluating an infrastructure project’s sustainability from three aspects: environment, economy, and society. In the assessment process, the cloud model was used to describe the various attribute values of infrastructure project sustainability, which achieved the uncertainty measures for infrastructure project sustainability, and a cloud model-based assessment method for infrastructure project sustainability was proposed by modifying the attribute value by the penalty factor. Finally, an assessment method for infrastructure project sustainability based on the cloud model was proposed after the attribute values were modified by using a continuous interval argument ordered weighted average (C-OWA) operator. The model carries out an overall sustainability assessment by generating a synthesized cloud with the weight to calculate the similarity of assessment factors, which takes the randomness, fuzziness, and uncertainty of expert qualitative assessment into account, and uses the analytic hierarchy process (AHP) method and the C-OWA operator to determine the weight of the sustainable index and the aggregation of the expert scoring interval. A case study was conducted to clarify how this strategy was applied. The study provides a valuable and useful tool for the operational stage to assess the achievability of municipal infrastructure projects. © 2023 by the authors.

Wu, Di; Chen, Xin; Tao, Yongchao; Meng, Xiaodong
Sustainability, 2023 15 (6) - SCIE SSCI

摘要 : The direct application of the Hoek–Brown failure criterion to practical slope engineering is still an urgent problem. The slope geometries and earthquake effect need to be considered in the determination of linear Mohr–Coulomb (MC) strength parameters from the Hoek–Brown criteria for slope stability analysis. This study adopted the tangential method to construct a three-dimensional (3D) rotational failure mechanism using the Hoek–Brown failure criterion for homogeneous rock slopes undergoing earthquake. The quasi-static method was employed to treat the seismic action as an external seismic force in the work–energy equation of the limit analysis theory. Based on the numerical optimization, the least upper-bound solutions and equivalent MC strength parameters were derived with respect to different strength parameters and seismic loads. The influences of nonlinear strengths, geometric parameters and earthquake load on the equivalent MC strength parameters were thoroughly investigated. The results suggested that the nonlinear parameters have different influences on the equivalent MC parameters for general steep slopes and vertical slopes. The effects of nonlinear parameters on the equivalent MC parameters become obvious for vertical slopes. The disturbance factor D affects the equivalent MC parameters only for very steep slopes in fractured rock masses. Additionally, the effect of slope inclination on the equivalent MC parameters becomes obvious for slopes in fractured hard rock masses. The 3D effect of the rock slope on the equivalent MC parameters was found to be slight. Moreover, the impact of earthquakes on the approximate MC parameters becomes weaker for steeper rock slopes. The tables of approximate MC strength parameters were given for various slopes with different nonlinear strength parameters. The presented tables can provide certain references for practical slope engineering. © 2023 by the authors.

Huo, Da; Zheng, Quanyi; Pei, Lidong
Sustainability, 2023 15 (4) - SCIE SSCI

摘要 : As an important public facility in cities, hospitals provide services that are vital to people’s lives. Big data is representative of geographic data from numerous sources. It has the advantages of large amounts of data, high timeliness, and abundant information, which may compensate for the inadequacy of traditional planning and design, which is overly subjective. Big data can be used to obtain large-scale human movement data to study hospital characteristics from a supply–demand balance perspective. Here, 182 comprehensive hospitals in three districts of Shenzhen were picked as an example, and multi-source data were introduced as a quantitative assessment tool to analyze them. First, the mobile public participation geographic information system (PPGIS) was researched and developed independently and used to collect volunteered geographic information (VGI) data, which was adopted to quantify hospital service supply. Second, the population’s demand for hospitals was characterized by the quantified point of interest (POI) data. Finally, the location entropy method was utilized to quantify the levels of supply and demand for comprehensive hospital services from a supply–demand balance perspective, which was used to guide the classification of the comprehensive hospitals. The result shows that: (1) the service scopes and the service pressure are different for the same type of comprehensive hospitals classified by the traditional method; (2) the spatial distribution of patients is related to land function; (3) the overlap area between the part with a high service pressure level in the comprehensive hospital and the part with high medical demand of the patient is prone to service blindness. This study paves a new way to optimize the spatial allocation of medical institutions or other types of public facilities, rationalize resource allocation, and alleviate urban transportation congestion. © 2023 by the authors.

Chunxin Zhang; Xin Chen; Meng Chen; Ning Ding; Hong Liu
International Journal of Environmental Research and Public Health, 2023 20 (6) - SCIE SSCI

摘要 : Sodium dodecylbenzene sulfonate (SDBS), an anionic surfactant, has both hydrophilic and lipophilic properties and is widely used in daily production and life. The SDBS-containing organic wastewater is considered difficult to be degraded, which is harmful to the water environment and human health. In this study, ferrate-assisted coagulation was applied to treat SDBS wastewater. Firstly, a single-factor experiment was conducted to investigate the effect of the Na2FeO4 dosage, polyaluminum chloride (PAC) dosage, pH and temperature on the treatment efficiency of SDBS wastewater; then, a response surface optimization experiment was further applied to obtain the optimized conditions for the SDBS treatment. According to the experimental results, the optimal treatment conditions were shown as follows: the Na2FeO4 dosage was 57 mg/L, the PAC dosage was 5 g/L and pH was 8, under which the chemical oxygen demand (COD) removal rate was 90%. Adsorption bridging and entrapment in the floc structure were the main mechanisms of pollution removal. The ferrate-assisted coagulation treatment of strengthened SDBS wastewater was verified by a response surface experiment to provide fundamental understandings for the treatment of the surfactant.

Qianwen Yu; Zehao Sun; Junyuan Shen; Xia Xu; Xiangnan Chen
International Journal of Environmental Research and Public Health, 2023 20 (2) - SCIE SSCI

摘要 : The initial emission rights allocation is the key measure to achieve the goal of total amount control and deepen the emission trading system. Although many studies have focused on the modeling of initial emission rights allocation, such as using game theory and multi-objective optimization methods, few studies have observed the hierarchical relationship of mutual interference and restriction between watershed management agency and local governments in each subarea during allocation. This relationship directly affects the rationality of the results of regional emission rights allocation. In this study, a leader-follower hierarchical decision model (LFHDM) for allocating initial emission rights in a basin is developed. Based on the bilevel programming approach, the model simulates the interactive decision-making process between the watershed management agency of the upper-level model (LFHDM-U) and the local government of the lower-level model (LFHDM-L) in the allocation under total amount control. A case study of China's Yellow River Basin is conducted to demonstrate the feasibility and practicality of the model. Findings reveal that, compared with the single-level model, the developed LFHDM has higher satisfaction with the allocation scheme. Under different scenarios, the overall satisfaction of the configuration schemes of COD and NH3-N in each province and autonomous region remains above 0.9. In addition, the allocation volumes of COD and NH3-N in each province of the Yellow River Basin in planning year increase with the enhancement of allowable assimilative capacity of water bodies, but the interval gap of satisfaction with allocation schemes gradually narrows. It shows that when the allowable assimilation capacity of a water body is low, the decision-making of the allocation scheme needs to be more cautious. Moreover, for the Yellow River Basin, apart from Qinghai and Sichuan, the task of reducing water pollutants in other provinces in the next few years is very arduous. The average reduction of total COD and NH3-N in the basin is about 48% and 46%, respectively.

Shaobo Wang; Junfeng Liu; Kunyao Xu; Meicheng Ji; Feifei Yan
International Journal of Environmental Research and Public Health, 2023 20 (2) - SCIE SSCI

摘要 : At present, collaborative industrial parks (CIPs) in the Yangtze River Delta Region (YRDR) have become an important spatial strategy for coordinating regional development. However, existing studies tend to focus on individualized micro-studies, ignoring the regional-scale production space reconstruction by the geographical expansion of CIPs. Based on this, this study takes the YRDR, where the development of CIPs is relatively mature, as an example and systematically analyzes their geographic expansion process and driving mechanism. The results found that CIPs in the YRDR have gone through three stages: the exploration period of CIP construction under the guidance of assistance policies; the blowout development period of CIPs under the demonstration effect; and the complete cluster formation period of CIPs. Regional central cities, such as Suzhou, Hangzhou, Nanjing, and underdeveloped cities, such as Tongling and Xuancheng, are core nodes, with Shanghai-Nantong; Shanghai-Anqing; Nanjing-Huainan; Wuxi-Xuzhou; Suzhou-Suqian; and Jiaxing-Lishui being important elements in the flow channel. The CIP network is basically formed. During this period, the degree of all nodes increased to 134, the network connection rate increased to 2.26, and the network complexity was more significant. Furthermore, CIPs are essentially a form of capital re-territorialization and space restoration organized and coordinated by the government (provincial government or central government). In the meantime, the market and the social environment, such as residents' living standards, urban development foundation, urban transportation, and urban investment, also have an important impact on the geographic expansion of CIPs. In the regression results, the coefficients of popu, finance, labor, and passenger are significantly negative, but the coefficients of wage, gdp, freight, and govrd are significantly positive.

Xinyue Wang; Zhengrui Li; Shuangxin Ding; Xiufeng Sun; Hua Qin; Jianwan Ji
International Journal of Environmental Research and Public Health, 2023 20 (4) - SCIE SSCI

摘要 : Relationship exploration between the street-greenery rate (SGR) of different street types and land surface temperature (LST) is of great significance for realizing regional sustainable development goals. Given the lack of consideration of the local climate zone concept (LCZ), Chongqing's Inner Ring region was selected as a case to assess the relationship between SGR and LST. Firstly, the LST was retrieved based on Landsat 8 imagery, which was calibrated by the atmospheric correction method; next, the street-greenery rates of different streets were calculated based on the semantic segmentation method; finally, street types were classified in detail by introducing LCZ, and the relationship between SGR and LST was investigated. The results showed that: (1) The LST spatial distribution pattern was closely related to human activity, with the high-temperature zones mainly concentrated in the core commercial areas, dense residential areas, and industrial cluster areas; (2) The average SGR values of expressways, main trunk roads, secondary trunk roads, and branch roads were 21.70%, 22.40%, 24.60%, and 26.70%, respectively. The level of SGR will decrease when the street width increases; (3) There is a negative correlation between the SGR and the LST in most streets. Among them, the LST of secondary trunk roads in low-rise and low-density built-up areas with a south-north orientation had a strong negative correlation with the SGR. Moreover, the wider the street, the higher the cooling efficiency of plants. Specifically, the LST of streets in low-rise and low-density built-up areas with south-north orientation may decrease by 1°C when the street-greenery rate is increased by 3.57%.

Liu, Honggang; Chu, Wenxiu
Applied Linguistics Review, 2023 - AHCI SSCI

摘要 : While teacher resilience has gained wide currency in the general education field, empirical research on language teacher resilience is still insufficient, especially with regard to the exploration of its inner structure. Against this backdrop, this study utilized a quantitative approach to investigate the structure of English as a foreign language (EFL) teacher resilience. An adapted Chinese version of the Multidimensional Teachers' Resilience Scale (MTRS) was completed by 539 Chinese junior high school EFL teachers. Exploratory and confirmatory factor analyses provided an acceptable fit for the 13-item MTRS and identified a tri-factorial structure of teacher resilience concerning professional competence, sociability, and grit. Based on these findings, the paper offers some implications for developing studies on language teacher resilience in the future. © 2023 Walter de Gruyter GmbH, Berlin/Boston 2023.

Ye, Xiaojun; Fan, Lingyun; Lei, Cheng
Sustainability, 2023 15 (11) - SCIE SSCI

摘要 : Rural industrialization is one of the core drivers of urban and rural spatial evolution and economic transformation in China. Given the background of stock and reduction planning, the development of rural industrial land, which has long relied on land inputs to increase production and inefficient expansion, is facing severe constraints and challenges. How to improve the spatial performance of rural industrial land and promote industrial upgrading and intensive land use have become vital issues for the healthy development of rural areas. This paper draws upon smart shrinkage theory to provide an analytical framework for the intensive-use-oriented performance evaluation of rural industrial land, unlike the evaluation method of efficiency orientation for industrial land, which emphasizes the core goal of the input and output of production factors per unit area. Based on the analysis framework, this study explored the parcel-microscale performance evaluation methods for rural industrial land, and the evaluation index system construction covers the four dimensions of economic performance, social performance, ecological performance, and land use structure performance. Wujiang District of Suzhou City was used as a case study to carry out a comprehensive performance evaluation and analyze the differences in RILP in space and industry. Based on the evaluation results, the key problems of rural industrial land were identified, and corresponding optimization strategies for rural industrial land are proposed from the aspects of land use control, spatial agglomeration, and industrial upgrading. This study intended to address the current major national strategic needs and solve the real dilemmas faced in the process of rural industrial land development. It is hoped that the study will provide a theoretical reference for the transformation of rural industrial land and policy-making for rural revitalization. © 2023 by the authors.