Identifying influencing factors and characterizing key issues in urban sustainable development capacity through machine learning

In response to the United Nations Sustainable Development Goals and China’s“Dual Carbon”Goals(DCGs means the goals of“Carbon Peak and carbon neutrality”),this paper from the perspective of the construction of China’s Innovation Demonstration Zones for Sustainable Development Agenda(IDZSDAs),combines carbon emission-related metrics to construct a comprehensive assessment system for Urban Sustainable Development Capacity(USDC).After obtaining USDC assessment results through the assessment system,an approach combining Least Absolute Shrinkage and Selection Operator(LASSO)regression and Random Forest(RF)based on machine learning is proposed for identifying influencing factors and characterizing key issues.Combining Coupling Coordination Degree(CCD)analysis,the study further summarizes the systemic patterns and future directions of urban sustainable development.A case study on the IDZSDAs from 2015 to 2022 reveals that:(1)the combined identification method based on machine learning and CCD models effectively quantifies influencing factors and key issues in the urban sustainable development process;(2)the correspondence between influencing factors and key subsystems identified by the LASSO-RF combination model is generally consistent with the development situations in various cities;and(3)the machine learning-based combined recognition method is scalable and dynamic.It enables decision-makers to accurately identify influencing factors and characterize key issues based on actual urban development needs.

Building sustainable capacity for better access to diabetes care in low-resource settings:A critical review of global efforts and integrated strategies

The alarming state of global insulin access in low-resource settings presents a major barrier to diabetes care.A comprehensive review of these challenges is lacking at the global level.To address this weakness,enhance affordability and build capacity for a more sustainable approach to scaling up access.This review analyzes the specific issue of inconsistent access to insulin in low-and middle-income countries.Using this analysis,we mapped the scope and intensity of issues such as the unaffordability and unavailability of insulin.We also identified six innovative and integrative strategies for increasing and securing accessibility in the areas of policy making,marketing,clinical practice,health education,domestication,and multisectoral approaches.

Carrying Capacity of Grassland and Sustainable Development of Animal Husbandry in Qinghai Lake Area

Based on the estimation of carrying capacity of grassland and status analysis of animal husbandry in Qinghai Lake area, the paper explores the strategic measure of sustainable development of animal husbandry in Qinghai Lake area under the actual conditions.

Study on Environmental Capacity and Sustainable Development Strategy of Scenic Areas ——Taking the Scenic Area of Slender West Lake in Yangzhou for an Example

Taking the scenic area of Slender West Lake in Yangzhou for an example, the quantitative evaluation model of environmental capacity and impact factors limiting sustainable development of scenic area were put forward, and targeted control measures were correspondingly proposed.

Quantitative Evaluation of Sustainable Development and Eco-Environmental Carrying Capacity in Water-Deficient Regions:A Case Study in the Haihe River Basin,China

Quantitative assessment of development sustainability could be a challenge to regional management and planning, especially for areas facing great risks of water shortage. Surface-water decline and groundwater over-pumping have caused serious environmental problems and limited economic development in many regions all around the world. In this paper, a framework for quantitatively evaluating development sustainability was established with water-related eco-environmental carrying capacity （EECC） as the core measure. As a case study, the developed approach was applied to data of the Haihe River Basin, China, during 1998 through 2007. The overall sustainable development degree （SDD） is determined to be 0.39, suggesting that this rate of development is not sustainable. Results of scenario analysis revealed that overshoot, or resource over- exploitation, of the Basin＇s EECC is about 20% for both population and economy. Based on conditions in the study area in 2007, in order to achieve sustainable development, i.e., SDD〉0.70 in this study, the EECC could support a population of 108 million and gross domestic product （GDP） of 2.72 trillion CNY. The newly developed approach in quantifying ecoenvironmental carrying capacity is anticipated to facilitate sustainable development oriented resource management in waterdeficient areas.

A Systems Approach to Assessing Sustainability Capacity in Kalobeyei Refugee Settlement in Turkana County, Kenya

Refugee settlements face several challenges in transitioning from a temporary planning approach to more sustainable settlements. This is mainly due to an increase in the number of forcibly displaced people over the last few decades, and the difficulties of sustainably providing social services that meet the required standards. The development of refugee settlements assumed that forcibly displaced people would return to their places or countries of origin. Unfortunately, displacement situations are prolonged indefinitely, forcing these people to spend most of their lives in conditions that are often deplorable and substandard, and therefore unsustainable. In most cases, the establishment of refugee settlements is triggered by an emergency caused by an influx of forcibly displaced people, who need to be accommodated urgently and provided with some form of international assistance and protection. This leaves little or no time for proper planning for long-term development as required. In addition, the current approach to temporary settlement harms the environment and can strain limited resources with ad hoc development models that have exacerbated difficulties. As a result, living conditions in refugee settlements have deteriorated over the last few decades and continue to pose challenges as to how best to design, plan, and sustain settlements over time. To contribute to addressing these challenges, this study proposes a new methodology supported by Model-Based Systems Engineering (MBSE) and a Systems Modeling Language (SysML) to develop a typical sustainable human settlement system model, which has functionally and operationally executed using a Systems Engineering (SE) approach. To assess the sustainability capacity of the proposed system, this work applies a matrix of crossed impact multiplication through a case study by conducting a system capacity interdependence analysis (SCIA) using the MICMAC methodology (Cross-impact matrix multiplication applied to classification) to assess the interdependency that exist between the sub-systems categories to deliver services at the system level. The sustainability analysis results based on capacity variables influence and dependency models shows that development activities in the settlement are unstable and, therefore, unsustainable since there is no apparent difference between the influential and dependent data used for the assessment. These results illustrate that an integrated system could improve human settlements’ sustainability and that capacity building in service delivery is beneficial and necessary.

Community capacity for sustainable community—based dengue prevention and control:study of a sub—district in Southern Thailand

Objective:To assess the level of community capacity for dengue prevention and control and to study household environments and larval indices in southern Thailand.Methods:A crosssectional survey was designed for the study,enrolling two communities with higher dengue incidence rate than the standard over the past five years.Data gathering was conducted by the dengue leader group(DLG),including 15 leaders and 15 non-leaders trained by the research team.The dengue community capacity assessment tool(DCCAT) for leaders(115 items.14 domains) and non-leaders(83 items,11 domains).Participants were selected by the DLG based on their communities’ dengue risk.In the low-dengue incidence(LDI) community,32 leaders and 177 non-leaders were selected;while in the high-dengue incidence(HDI) community,31 leaders and 199 non-leaders were chosen.Results:The leaders from the LDI and the HDI communities demonstrated high levels of dengue community-capacity(360.47±58.82,416.22±57.72). Non-leaders in the LDI community demonstrated a moderate level of dengue community capacity competence(205.90±60.76),while the non-leaders in the HDI community had a high level (254.78±50.34).Conclusions:These initial levels of dengue community capacity serves as a baseline for diagnosing each community.For a community that needed to improve its capacity, the DCCAT is essential tool to conduct a pre-post intervention assessment or a serial assessment. A participatory approach is taken to enable local communities to carry out anti-dengue efforts on their own,rather than have intervention by an outsider.

A model of community capacity building for sustainable dengue problem solution in Southern Thailand

Dengue community capacity (DCC) is important for developing a sustainable approach to over-coming the problem of dengue. The objectives were 1) to develop and 2) evaluate a dengue community capacity building model for the leader and non-leader group in three communities selected by purposive technique. A mixed method research design was used employing both qualitative and quantitative methods with qualitative studies conducted for community capacity building model: assessment, planning, implementation, and evaluation. DCC level was assessed by the Dengue Community Capacity Assessment Tool (DCCAT) including larval indices, and morbidity and mortality rate. To analyze the differences of the leader and non-leader’s DCC levels both pre and post-interventions in each model, the Mann-Whitney and Independent T-test were used and to analyze the difference of the DCC level among the three models (Ban Mon, Ban Nangpraya and Ban Kang), the Kruskal-Wallis Test, ANOVA, and ANCOVA were used. The findings showed that there were some differences among the three models in dengue community capacity building in terms model. The participants consisted of leader (n = 26, 24 and 28) and non-leader groups (n = 200, 215 and 176 respectively). The DCC levels of both leader and non-leader groups increased post-intervention in each model (p < 0.001) and in all three models, showing a statistically significant difference between pre and post-intervention (p < 0.001). Ban Kang model demonstrated the highest DCC levels of leader and non-leader groups, the lowest larval indices (HI, BI, and CI), and no dengue morbidity. In contrast, Ban Mon and Ban Nangpraya model showed low DCC level in both leader and non-leader groups, a high rate of larval indices and high dengue morbidity rate. However, there was no mortality rate in three areas. The conclusion indicates that the model with a high DCC level showed low risk on the dengue index both entomological and epidemiology index. The model of dengue community capacity building for dengue solution was sustainability not only needs to be maintained DCC levels but also increased dependent upon the contexts of each community.

Spatial and Dynamic Analysis of Regional Sustainable Development Using Geographic Information System and Relative Carrying Capacity of Resources

Relative carrying capacity of resources is an index to measure sustainable development through carrying capacity. Case studies of eleven cities in Zhejiang (Hangzhou, Ningbo, Wenzhou, Jiaxing, Huzhou, Shaoxing, Jinhua, Quzhou, Zhoushan, Taizhou and Lishui) illustrated regional sustainable development approach. In this study, to provide insight into spatial and dynamic analysis of region sustainable development, we calculated the relative carrying capacity of land resources and economical resources and synthetical carrying capacity of resources in different cities in Zhejiang, and geographic information system was carried out. The results showed that all cities but Hangzhou and Ningbo were ecologically sustainable, and relative carrying capacity of land resources in northern and eastern Zhejiang was larger than those in southern and western Zhejiang. The sampling years of Wenzhou, Hangzhou and Ningbo contribution rates of land resource to synthetic carrying capacity were grouped into three stages, and there were two milestones trends and changes in 1996 and 2004, respectively. This study demonstrated that geographic information system and relative carrying capacity of resources are effective for assessment of region sustainable development, and provide policy guidelines for decision-making.

Ecological Carrying Capacity of Shennongjia Based on Sustainable Development

Ecological carrying capacity is a significant index for measuring sustainability of natural resources in a region. This paper applied ecological footprint counting model to calculate ecological footprint and ecological carrying capacity of the typical resource-based city—Shennongjia from 2008 to 2012. The results showed that(a) ecological footprint and per capita ecological footprint in Shennongjia area increased from 86,464.48 ha and 1.076 ha. in 2008 to 93,13.59 ha. and 1.171 ha. in 2012;(b) total ecological carrying capacity, and per capita ecological carrying capacity fluctuated, and total ecological carrying capacity > total ecological footprint, per capita ecological carrying capacity > total ecological footprint, thus it had ecological surplus;(c) among all land use types, water resources had the largest ecological surplus, construction land and woodland had the second and third largest; waters and fossil energy land showed ecological deficit and needed outer supply. As a whole, Shennongjia area had an excellent ecological environment with less destruction and good sustainability.

A study on sustainable development capacity of China's coastal areas using indices dimension reduction method

Sustainable Development Capacity (SDC) is a comprehensive concept. In order to obtain a relatively objective evaluation of it, many indices of various aspects are often used in assessing index systems. However, the overlapping information of indices is a frequent source deviating the result from the truth. In this paper, 48 indices are selected as original variables in assessing SDC of China's coastal areas. The mathematical method of dimension reducing treatment is used for eliminating the overlapping information in 48 variables. Five new comprehensive indices are extracted bearing efficient messages of original indices. On the base of new indices values, the sequencing of 12 coastal areas SDC is gained, and five patterns of sustainable development regions are sorted. Then, the leading factors and their relations of SDC in these patterns are analyzed. The gains of research are discussed in the end.

The community capacity building for sustainable dengue problem solution (CCB-SDPS) model: The results from studies in community, southern region, Thailand

This paper provides an approach for sustainable dengue problem solution by the community capacity building model and the results of two studies from implementation the model in Southern region, Thailand. The conceptual framework of the CCB-SDPS model consisted of three dimensions;1) community-based (leader and non-leader in community), 2) community capacity building process, and 3) sustainable dengue problem solution (outcomes). The outcomes of studies focused on the capacity level by the DCCAT (14 domains of leader group, and 11 domains of non-leader group), dengue entomology (Larval) index, and epidemiological (morbidity and mortality) rate. The two studies were pilot study in high risk dengue areas. These studies were application of CCB-SDPS model. First study was the process of using the tool for testing the DCCAT in two communities. The results showed only three steps of using assessment tool;community preparation, assessment, and community hearing. The second study was the fully testing model in three communities. Participatory action research and mix methods;quantitative and qualitative collecting data were preparation community-based, building capacity process (assessment, plan, implement, and reassessment), and outcomes monitoring. The results of second study showed three models of the CCB-SDPS. The two studies confirmed the sustainable in after intervention of community capacity building such as increased capacity level of leader and non-leader group, deceased entomological indices (HI, BI, and CI), and non presentation of morbidity and mortality rate in during study period. These results showed the model conducing on contexts of each community such the three dimensions of the conceptual framework of the model, community-based, building capacity process, and measurement of outcomes of sustainable dengue problem solution. These experiences in Southern Thailand demonstrated the main keys to the approach of CCB-SDPS were in the use of strategies planning to initiate community capacity building towards sustained dengue problem solution.

Carrying Capacity and Coupling Coordination of Water and Land Resources Systems in Arid and Semi-arid Areas: A Case Study of Yulin City, China

Quantitatively assessing the carrying capacity of water and land resources systems in arid and semi-arid areas is crucial for achieving the 2030 Sustainable Development Goals.In this work,taking Yulin City in China as a case study and employing the Criteria Importance Through Intercriteria Correlation(CRITIC)method,a modified model of coupling degree was developed to evaluate the car-rying capacity of water and land resources systems endowment and utilization,as well as their coupling coordination degree from 2013 to 2020.Our findings indicate that the water and land resources of Yulin are diminishing due to declines in agriculture,higher industrial water use,and wetland shrinkage.However,reallocating domestic water for ecological sustainability and reducing sloping farmland can mitigate this trend of decline.Temporally,as the coupling coordination between water and land resources system endowment in Yulin continuously improved,the coupling coordination between water and land resources system utilization first decreased and then in-creased with 2016 as the turning point.Spatially,the carrying capacity of water and land resources systems,the coupling coordination degree between water and land resources system endowment,and the coupling coordination degree between water and land resources system utilization in Yulin exhibited the same pattern of being higher in the six northern counties than in the six southern counties.Improving the water resources endowment is vital for the highly efficient use of water and land resources.

Spatial differences of Sustainable Development Goals(SDGs)among counties(cities)on the northern slope of the Kunlun Mountains

The county(city)located on the northern slope of the Kunlun Mountains is the primary area to solidify and extend the success of Xinjiang Uygur Autonomous Region,China in poverty alleviation.Its Sustainable Development Goals(SDGs)are intertwined with the concerted economic and social development of Xinjiang and the objective of achieving shared prosperity within the region.This study established a sustainable development evaluation framework by selecting 15 SDGs and 20 secondary indicators from the United Nations’SDGs.The aim of this study is to quantitatively assess the progress of SDGs at the county(city)level on the northern slope of the Kunlun Mountains.The results indicate that there are substantial variations in the scores of SDGs among the nine counties and one city located on the northern slope of the Kunlun Mountains.Notable high scores of SDGs are observed in the central and eastern regions,whereas lower scores are prevalent in the western areas.The scores of SDGs,in descending order,are as follows:62.22 for Minfeng County,54.22 for Hotan City,50.21 for Qiemo County,42.54 for Moyu County,41.56 for Ruoqiang County,41.39 for Qira County,39.86 for Lop County,38.25 for Yutian County,38.10 for Pishan County,and 36.87 for Hotan County.The performances of SDGs reveal that Hotan City,Lop County,Minfeng County,and Ruoqiang County have significant sustainable development capacity because they have three or more SDGs ranked as green color.However,Hotan County,Moyu County,Qira County,and Yutian County show the poorest performance,as they lack SDGs with green color.It is important to establish and enhance mechanisms that can ensure sustained income growth among poverty alleviation beneficiaries,sustained improvement in the capacity of rural governance,and the gradual improvement of social security system.These measures will facilitate the effective implementation of SDGs.Finally,this study offers a valuable support for governmental authorities and relevant departments in their decision-making processes.In addition,these results hold significant reference value for assessing SDGs at the county(city)level,particularly in areas characterized by low levels of economic development.

Sustainability Capacity Building Based on Educational Method: A Case Study on China and Sweden Joint Program

Environmental Education and Education for Sustainable Development (EE&ESD) have been widely accepted as an effective educational method to contribute to capacity development and processes of change in developing countries. This paper takes SIDA supported EE&ESD in formal educationadvanced international training program, China as an example. By analyzing and reflecting its orientation, implementation, outcomes and evaluation, experiences and lessons learned are expected to help improve the sorts of international cooperation capacity building programs both from international and also Chinese perspectives.

Tourism Entropy as a Critical Factor for Destination Sustainability:Assessment of Carrying Capacity Through IoTs and Determination of Tourism Satisfaction

This paper introduces a novel methodology to address the issue of destination carrying capacity assessment and monitoring,while,to develop a new tool to enable effective and optimized policy making in tourism sector.Tourism fits together a chain value,where stakeholders are working as cogwheels targeting the sustainability.An inherent requirement towards the objectives of sustainability is the capacity of policy makers to sustain the available social,economic,and environmental resources.Given the facts that(i)carrying capacity is a complex,dynamic,multidimensional concept,apparently vague,as such it is quite difficult to assess and monitor and(ii)each destination has unique characteristics,varying the extent and intensity of tourism development,the research proposal refines and implements measures and establishes a state-of-the-art data collection network in order to monitor tourism development in terms of sustainability and to establish an integrated carrying capacity estimation framework.Since validity and reliability of input data is a critical issue,different kind of sensors for environmental data(IoTs)are used,as well as web mining methods and field surveys,statistical information and secondary research results.Also,specialized analysis methods are applied and integration of all sources is achieved,defining the characteristics of the tourism destination ecosystem from the perspective of entropy change,in order to provide planning,policy making,and decision support,as well as a set of intelligent tools.

Regional Research Capacity -Building inSustainability Science:Facts, Gaps, and Futures in Northeast Asia

Evidence shows that some conceptual ideas relevant to both local and global sustainability have been adopted in some official documents in northeast Asian nations, particularly China, South Korea, and Japan. This seems to be a very positive signal for the future development of sustainability science in this region. However,studyes show that there are still some major gaps there. One is the problem of how to build up the regional research capacity of sustainability science among northeast Asian research institutes across different disciplines as well as different political systems. Another is how to shift the conceptual frameworks of sustainability science into the operational policy frameworks. There are four major obstacles to the enhancement of regional research capacity-building in sustainability science. In order to build up the regional research capacity in sustainability science and to realize both local and global goals of the sustainable development in northeast Asia, this paper proposes some

Carrying Capacity of Marine Region in Liaoning Province

Carrying capacity is one of important studies on coordinating development of population,resources,and environment.At present,the researches on it mainly concentrate on the carrying capacity for population and economy,such as the water resources carrying capacity,the land resources carrying capacity,the environment carrying capacity,etc.Based on the related theories and methods,this paper creatively proposed the concept and meaning of carrying capacity of marine region,and formed the appraisal system.According to the developing situation of marine economy of Liaoning Province in recent years,and by employing the method of the state space,this paper also measured the carrying capacity and carrying state of marine region and discussed the sustainable problems of marine economy of Liaoning.The research results show that the carrying state of marine region of Liaoning is in the state of overloading at present,but taking a favorable turn.

Measurement and assessment of water resources carrying capacity in Henan Province, China

As demands on limited water resources intensify, concerns are being raised about water resources carrying capacity（WRCC）, which is defined as the maximum sustainable socioeconomic scale that can be supported by available water resources and while maintaining defined environmental conditions. This paper proposes a distributed quantitative model for WRCC, based on the principles of optimization, and considering hydro-economic interaction, water supply, water quality, and socioeconomic development constraints. With the model, the WRCCs of 60 subregions in Henan Province were determined for different development periods. The results showed that the water resources carrying level of Henan Province was suitably loaded in 2010, but that the province would be mildly overloaded in 2030 with respect to the socioeconomic development planning goals. The restricting factors for WRCC included the available water resources, the increasing rate of GDP, the urbanization ratio, the irrigation water utilization coefficient, the industrial water recycling rate, and the wastewater reuse rate, of which the available water resources was the most crucial factor. Because these factors varied temporally and spatially, the trends in predicted WRCC were inconsistent across different subregions and periods.

Rural sustainable development:A case study of the Zaozhuang Innovation Demonstration Zone in China

Sustainable development is the central theme of modern global development.With the arrival of the urban era,the vulnerability and instability of rural areas have significantly increased,and rural sustainable development faces serious challenges.To address these issues,the study took the Zaozhuang Innovation Demonstration Zone in China under the National Sustainable Development Agenda as a case,combined with economic,social and land use data during 2016-2020,and applied Granger causality test method to explore the theoretical and practical pathways of“innovation-driven rural sustainable development”.The results showed that rural sustainable development and economic sustainability displayed a trend of synergistic change,with“explosive”growth from 2018 to 2020.The social sustainability steadily increased from 2016 to 2020.Ecological and spatial sustainability continuously declined during the study period.Moreover,the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone displayed rapid growth during 2016-2020.Although the rural innovation capacity of the Zaozhuang Innovation Demonstration Zone has rapidly improved,it has a weak driving effect on rural sustainable development and economic sustainability.There are two primary challenges that must be overcome to ensure the rural sustainable development of the Zaozhuang Innovation Demonstration Zone.The first challenge is the imbalance among the multi-dimensional relationships in the process of rural sustainable development,and the second challenge is the weakening of rural innovation capacity to drive rural sustainable development.To overcome these challenges,this study proposed a systematic pathway for rural sustainable development in the Zaozhuang Innovation Demonstration Zone from multidimensions,such as policy actions,technologies,projects,and institutional guarantees,and formed a universal and representative“Zaozhuang model”.This study expands the theoretical foundation of rural sustainable development and provides theoretical and practical support for innovation-driven rural sustainable development.