Development Of Evaluation Framework Research Articles

What factors affect the development of public charging infrastructures? a study from the perspective of potential users

The rapid development of the electric vehicle market has greatly stimulated the demand for public charging infrastructure (PCI) and made it a pertinent topic to improve its charging service quality in the industry. Data from perceived preference, PCI and electric vehicles cannot reflect the factors influencing potential users’ anxiety. This study designed a PCI development evaluation framework to investigate the impact of economic, technological, market, policy, and social environmental factors on PCI development from the perspective of potential users. We collected a dataset including 386 potential users in Tianjin, China, and employed structural equation model to survey the implementation of PCI. The following conclusions were drawn from this study: 1) Reducing operating costs will not significantly increase PCI charging user demand and improve use efficiency for potential users; 2) Technical factors cannot directly promote the development of PCI but will reverse lag the development of the market; 3) The growing market demand is the main impetus to the development of electric vehicle industry, and the incentive policy and social environment can indirectly incentivize PCI development. The policy implications suggest that the PCI industry can experience sustainable development by continuously innovating market-oriented business models, and improving policy systems and industry mechanisms. This study provides analytical foundation and decision support for policymakers and pertinent industry participants, promotes the development of electric vehicle-related industries, and helps achieve the strategic goal of carbon neutrality.

CHALLENGES IN ENGLISH FOR SPECIFIC PURPOSES (ESP) TEACHING MATERIALS: A SYSTEMATIC REVIEW FOR MODERN LEARNING ENVIRONMENTS

This systematic literature review (SLR) examines the evolution, effectiveness, and challenges associated with English for Specific Purposes (ESP) teaching materials, with a focus on their integration of digital technologies, learner-centered design, and cultural inclusivity. Through a comprehensive analysis guided by the PRISMA method, 87 studies from 2000 to 2023 were evaluated. The findings reveal a significant shift towards incorporating digital tools in ESP materials, highlighting the growing emphasis on creating immersive and interactive learning experiences. Additionally, the review underscores the importance of developing materials tailored to the learners' specific needs and cultural contexts, facilitating more meaningful engagement and language acquisition. Despite the observed benefits, challenges such as the necessity for ongoing teacher training and the absence of standardized evaluation frameworks for ESP materials were identified. Recommendations include enhancing digital integration, prioritizing learner-centered and culturally inclusive materials, investing in teacher training, developing evaluation frameworks, fostering collaborative material development, ensuring accessibility, and conducting longitudinal impact studies. This SLR sets a foundation for future research and development in ESP material design and implementation, aiming to support learners' language learning goals and professional aspirations effectively.

Evaluating suitability of development and construction with of minimum cumulative resistance model for a mountain scenic area in Jinyun Xiandu, China

Owing to the intricate nature of the ecological environment and spatial complexity, effectively mitigating over-exploitation and ecological harm poses a challenge during the development and construction of mountain scenic areas. Ttraditional ecological sensitivity assessment employed in mountain scenic areas mainly focuses on ecological protection, neglecting the dynamic interplay between ecology and the evolution of construction land.Taking Xiandu mountain scenic area, a representative mountainous development zone in Jinyun County, Lishui City, Zhejiang Province, China, as a study area, this study employs the minimum cumulative resistance model (MCR) to simulate the resistance encountered by ecological sources and construction activities during the expansion process. The study establishes an evaluation framework for development in mountain scenic areas, considering ecological processes both vertically and horizontally. Quantitative analyses are performed through ArcGIS and the analytic network process (ANP) to delineate development adaptability zones in the mountain scenic area. The study utilizes grid mutation points to determine the zoning threshold for development suitability in mountain scenic areas, resulting in the categorization of these areas into four distinct types of development zones: most appropriate for construction, suitable for construction, not suitable for construction, and least suitable for construction.The partition result shows that the most appropriate construction area constitutes 6.68% of the primary scenic area, while the suitable construction zone occupies 40.64% of the main scenic expanse.The study can expand the application area of the MCR model, and the evaluation framework can augment the accuracy and breadth for future mountain scenic area development researches.

"Going into the black box": a policy analysis of how the World Health Organization uses evidence to inform guideline recommendations.

The World Health Organization (WHO) plays a crucial role in producing global guidelines. In response to previous criticism, WHO has made efforts to enhance the process of guideline development, aiming for greater systematicity and transparency. However, it remains unclear whether these changes have effectively addressed these earlier critiques. This paper examines the policy process employed by WHO to inform guideline recommendations, using the update of the WHO Consolidated HIV Testing Services (HTS) Guidelines as a case study. We observed guideline development meetings and conducted semi-structured interviews with key participants involved in the WHO guideline-making process. The interviews were recorded, transcribed, and analysed thematically. The data were deductively coded and analysed in line with the main themes from a published conceptual framework for context-based evidence-based decision making: introduction, interpretation, and application of evidence. The HTS guideline update was characterized by an inclusive and transparent process, involving a wide range of stakeholders. However, it was noted that not all stakeholders could participate equally due to gaps in training and preparation, particularly regarding the complexity of the Grading Recommendations Assessment Development Evaluation (GRADE) framework. We also found that WHO does not set priorities for which or how many guidelines should be produced each year and does not systematically evaluate the implementation of their recommendations. Our interviews revealed disconnects in the evidence synthesis process, starting from the development of systematic review protocols. While GRADE prioritizes evidence from RCTs, the Guideline Development Group (GDG) heavily emphasized "other" GRADE domains for which little or no evidence was available from the systematic reviews. As a result, expert judgements and opinions played a role in making recommendations. Finally, the role of donors and their presence as observers during GDG meetings was not clearly defined. We found a need for a different approach to evidence synthesis due to the diverse range of global guidelines produced by WHO. Ideally, the evidence synthesis should be broad enough to capture evidence from different types of studies for all domains in the GRADE framework. Greater structure is required in formulating GDGs and clarifying the role of donors through the process.

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.

THE BENEFIT EVALUATION FRAMEWORK OF USING PERFORMANCE-BASED CONTRACTING IN URBAN ROAD MAINTENANCE

Performance-based contracts (PBC) have been adopted increasingly in various countries. However, establishing an objective and convincing benefit evaluation framework to facilitate promotion remains a significant challenge for those who wish to use PBCs. A recent study introduced PBC in the context of daily inspection and repair of urban roads. The pilot program in that study successfully addressed the needs of road users, road maintenance authorities, and contractors. Consequently, this study develops the benefit evaluation framework for this type of PBC for broader applications. The proposed benefit evaluation framework, consisting of one qualitative and eight quantitative performanceevaluation items, calculates the effectiveness of introducing PBC to verify its practicality. The validation results show that qualitative benefit evaluation using the Pavement Condition Index achieves a “satisfactory” rating. For the quantitative benefit evaluation, an overall benefit-cost ratio (BCR) of 5.35 suggests that it is economically viable. The developed benefit evaluation framework can be used as a simple and easy-to-use evaluation tool for other organizations to assess whether to introduce PBC. This study fills this research gap by addressing the use of PBCs in the maintenance of all categories of toll-free roads, and contributes to expanding the application of PBCs in road maintenance services.

Impact of the digital economy on low carbon sustainability evidence from the Yellow River Basin

As the digital economy increasingly dominates a substantial portion of the national economy, comprehending its role in promoting sustainable development has become an imperative research question—particularly in the context of the Yellow River Basin, where there exists an urgent need to shift toward more sustainable modes of economic growth. Utilizing panel data spanning from 1999 to 2020 for 114 cities in the Yellow River Basin, this study develops a comprehensive evaluation framework for sustainable development, incorporating economic, social, and ecological dimensions. The empirical findings reveal that the digital economy acts as a catalyst for sustainable development. Importantly, these results withstand both endogeneity tests and robustness checks. Further heterogeneity analysis indicates that the positive impact of the digital economy on sustainable development is more pronounced in regions directly traversed by the Yellow River and in areas with higher sustainability levels. Moreover, the enactment and implementation of the 13th Five-Year National Information Plan have emphasized the role of the digital economy in enhancing sustainable development. Mechanism tests also illustrate those elevated levels of personal digital acceptance and government intervention contribution to amplify the digital economy’s positive impact on sustainable development. In conclusion, policy recommendations are put forward, including optimizing industrial structure, strengthening data governance and environmental monitoring, promoting innovation-driven development, and fostering collaborative growth.

Bridging the Digital Divide in Mental Health: An Innovation Diffusion-Based Framework for Advancing Digital Literacy among Professionals

The heightened prominence of digital literacy, as emphasized in the United Nations Sustainable Development Goals (SDGs), signifies a collective effort to address the pressing need for reducing the digital divide. Digital literacy involves adept utilization of information and communication technologies, encompassing both technical expertise and cognitive skills. This research focuses on identifying optimal conceptual approaches and measurement standards for digital literacy, concurrently developing an evidence-based tool to elucidate the essential digital literacy prerequisites for mental health professionals advocating mobile mental health applications. The study draws theoretical inspiration from the Innovation Diffusion Theory (IDT), guiding the formulation of a foundational framework for digital literacy prerequisites among mental health professionals and the strategic crafting of diffusion strategies. The methodological approach entails a meticulous literature review, with a specific emphasis on the Google Scholar database, to identify best practices for evaluating digital literacy among mental health professionals. Four frameworks were deliberately chosen for comprehensive analysis, unraveling associated methodologies and measurement standards. The insights derived from this analysis inform the development of an evaluation framework aligned with the five stages of the Innovation Diffusion Theory: awareness, interest, evaluation, trial, and adoption. The G20 Digital Literacy simplified model, among the selected frameworks, serves as the cornerstone for the developed evaluation framework. This model intricately delineates the digital literacy and competencies required for mental health professionals at various stages of endorsing mobile mental health applications. Importantly, it adopts a professional-centric model, deviating from conventional approaches, providing a unique perspective on the pivotal role professionals play in propagating and endorsing digital applications.

Exploring participatory health research and its application to speech and language therapy research practices.

The role of participatory health research (PHR) is increasingly acknowledged by funding bodies, researchers and civil society globally; however, it continues to be under-represented in the speech and language therapy (SLT) research literature. This collaborative research approach is associated with the increased application of research evidence, and the generation of positive impacts in practice, policy, health systems and society. To increase researchers' and other participatory partners' understanding of PHR, and to demonstrate its applicability to research in the SLT field. This aim is achieved through a discussion on PHR, its principles, benefits and challenges, and the evaluation of its impact. A recently developed evaluation framework to support the implementation of best engagement practices is examined, and recommendations for how this framework can be used to plan and evaluate engagement in participatory stuttering research is presented. This paper serves as an important conversation on the value of PHR to SLT research, and presents guidance to support its increased implementation in this research field. Conclusions & Implications: PHR remains an under-represented research approach in the SLT literature, despite increasing evidence demonstrating its effectiveness and value. It offers a potential solution to the research-practice gap, and challenges the ongoing research hierarchies by democrating the process of knowledge production. What is already known on this subject PHR is increasingly attracting the attention of funders, researchers and decision-makers due to a growing body of evidence in support of this collaborative research approach. Despite its potential to bridge the research-practice gap, PHR remains significantly under-represented in the SLT research literature. What this paper adds to the existing knowledge This paper discusses the principles, benefits, challenges and impact evaluation of PHR. A recently developed evaluation framework for supporting the implementation of best engagement practices is examined. A demonstration of how this framework can be used to plan and evaluate engagement in participatory stuttering research is presented. What are the potential or actual clinical implications of this work? Speech and language therapists play a key role in PHR, as co-researchers contributing essential context-based knowledge. It is therefore imperative that they understand the principles and practices of this approach in order to maximize their input in future participatory partnerships.

A novel quality risk evaluation framework for complex equipment development integrating PHFS-QFD and grey clustering

PurposeThe purpose of this research is to provide a theoretical framework for complex equipment quality risk evaluation. The primary aim of the framework is to enhance the ability to identify risks and improve risk control efficiency during the development phase.Design/methodology/approachA novel framework for quality risk evaluation in complex equipment is proposed, which integrates probabilistic hesitant fuzzy set-quality function deployment (PHFS-QFD) and grey clustering. PHFS-QFD is applied to identify the quality risk factors, and grey clustering is used to evaluate quality risks in cases of poor quality information during the development stage. The unfolding function of QFD is applied to simplify complex evaluation problems.FindingsThe methodology presents an innovative approach to quality risk evaluation for complex equipment development. The case analysis demonstrates that this method can efficiently evaluate the quality risks for aircraft development and systematically trace back the risk factors through hierarchical relationships. In comparison to traditional failure mode and effects analysis methods for quality risk assessment, this approach exhibits superior effectiveness and reliability in managing quality risks for complex equipment development.Originality/valueThis study contributes to the field by introducing a novel theoretical framework that combines PHFS-QFD and grey clustering. The integration of these approaches significantly improves the quality risk evaluation process for complex equipment development, overcoming challenges related to data scarcity and simplifying the assessment of intricate systems.

Revisiting the porter hypothesis within the economy-environment-health framework: Empirical analysis from a multidimensional perspective

The question of whether environmental regulation fosters technological innovation and green development, as a nuanced extension of the Porter hypothesis, constitutes a focal point in contemporary research. Despite this attention, the literature often omits a multifaceted evaluation framework for green development and fails to consider multiaspectual environmental regulation and technological innovation. This study develops a comprehensive model of green total factor productivity (GTFP), situating the Chinese economy within an economy–environment–health nexus. The extended Crépon–Dugeut–Mairesse model is employed to revisit the “strong”, “weak”, and “narrow” Porter hypotheses. The analysis reveals that formal environmental regulation exerts a crowding-out effect on research and development (R&D), whereas informal environmental regulation exhibits a facilitating effect, corroborating the narrow version of the Porter hypothesis. Both categories of regulation contribute to substantial innovation. Following the incorporation of R&D factors, heterogeneity in the “weak” Porter hypothesis emerges in the Chinese context, contingent upon specific types of environmental regulation and technological innovation. Environmental regulation positively influences GTFP, affirming the “strong” Porter hypothesis, primarily through the vector of technical progress change. A developmental trajectory to enhance GTFP is thus articulated: judicious environmental regulation leads to R&D, which in turn fosters innovation quality, subsequently affecting the technical progress change index and ultimately GTFP. Correspondingly, policy recommendations are delineated across three dimensions: judicious environmental regulation, targeted innovation support, and regional coordination.

Framework for Evaluating the BIM Application Performance: A Case Study of a Grid Information Modeling System

BIM has played an important role in promoting sustainable development in the construction industry. The lack of an effective system for evaluating BIM application performance has become a major obstacle to BIM application. Therefore, this study develops an indicator evaluation framework that includes benefit factors and cost factors to systematically evaluate the BIM application performance. The evaluation indicators are determined through a scientometric literature review and expert evaluations, and the AHP method is employed to assess the weights of each indicator. A performance index is established and measured through a cost–benefit measurement. The developed evaluation framework and index are applied in a case study of a grid information modeling (GIM) system implemented in a specific UHV substation project. The sensitivity of the evaluation index is further examined. Finally, the recommendations for developing BIM applications like GIM are discussed. Accordingly, this research mainly contributes to developing the BIM application performance evaluation framework and index, which can be used to assess the application performance of digital technologies in the construction industry worldwide. The case experience and recommendations could promote BIM application in the power generation construction industry.

A Sustainable Development Evaluation Framework for Chinese Electricity Enterprises Based on SDG and ESG Coupling

In 2021, China’s power generation industry took the lead in launching carbon emissions trading, ushering in a major challenge and opportunity for the sustainable development of power enterprises. Assessing the sustainable development performance of power enterprises has become the key to the sustainable financing and development of power enterprises in this new developmental stage. Based on the integration of the long-term UN Sustainable Development Goals (SDGs) and the ESG (Environmental, Social, and Governance) evaluation indicators of listed companies, this paper constructed an index system for the evaluation of the sustainable development of electric power companies consisting of 75 indicators corresponding to four dimensions: economic, social, environmental, and governance. Given the vision for the sustainable development of electric power companies, the assessment thresholds for each indicator were determined by the practical exploration and typical progress assessment of SDGs. Aggregate assessment and dashboard assessment techniques for the sustainable development of electric power companies were established, and we conducted a robustness analysis of the evaluation system. The results revealed the following details: (1) The disclosure of sustainable development indicators of Chinese electricity enterprises was 94.13%, among which the four dimensions of economy, environment, society, and governance were 99.89%, 82.62%, 94.00%, and 97.71%, respectively. (2) The aggregate sustainable development index for Chinese power companies was 59.34, and the environment, society, governance, and economic scores were 62.10, 64.49, 76.79, and 41.37, respectively. (3) Based on the results of the dashboard, investment in innovation, public welfare, emissions of greenhouse gases, and economic sustainability are the key factors limiting the achievement of sustainable development. (4) The framework’s robustness analysis showed that the results of the evaluation of this paper’s indicator framework fell within a reasonable range of variation using different ranking and weighting systems. Chinese electricity companies should comprehensively control costs and expenses, strengthen capital management, expand funding channels, focus on enhancing R&D capabilities, enhance their scientific and technological innovation management systems, and improve their disclosure of information about greenhouse gas emissions, resource consumption and use, and employee issues to improve the overall level of sustainable development. The evaluation system developed in this paper further enriches the evaluation of corporate sustainability performance. This paper explored the application of the SDG index and dashboard construction methods at the national level to the evaluation of sustainability at the corporate level, providing a clear picture of corporate performance with respect to various dimensions, issues, criteria, and indicators.

An Application of Consistency Testing for Spatial Plans: Case of Trabzon, Türkiye

The starting point of this study is the problematic perspective of focusing only on the final product in spatial planning, while ignoring the planning process, and a lack of certain standards/criteria of the evaluation stage for the internal and external consistencies of spatial plans. Although it has recently attracted significant interest in the field, the methodological use of evaluation is not widespread in planning practice. Evaluation, which is considered to be a simple checking duty in the Turkish planning system (TPS), is not considered in the related literature and legislation. Focusing on the “evaluation stage” of spatial planning, this paper aims to demonstrate the contribution of the previously developed Guideline for Evaluation of Spatial Plans (GESP) in testing and ensuring the consistency of different scale and types of plans prior to their approval. The first phase of the study focuses on the concept of evaluation, reviews a series of related literature for the evaluation of plans, and discusses the evaluation stage in the TPS. In the second phase, the consistency of the selected case area plansafter addition of new resources that comply with the input of the previously developed evaluation framework GESPis examined. This guideline, which is an analytical method proposal, is applied over the selected cases, involving the upper-scale plans that cover Trabzon province and lower-scale plans for some settlements that were selected from within this province. Consistencies of all the plan components (plan sheets, plan report, plan notes, plan legend) of plans with different scales for the case area were tested in terms of the criteria of the developed guideline. Most of these plans were found to be inconsistent, both internally and externally. In the study, it was determined that the plans in fact contained many inconsistencies on their approval without being subjected to such evaluation. Although the study did not focus on the frequency of evaluation of spatial plans, the parties that will make those evaluations, and how to use their output, it provides basis for future studies. The “evaluation stage”, an important theoretical issue in the international literature, is exemplified for both how it would be handled and tested in practice. Identifying the needs, processes, and problems related to the evaluation stage, mainly for its ex-ante stage, will allow the TPS to intervene in the preparation of plans before their approval. This may have a positive impact on the production of final plans that are more comprehensive, and do not require continuous changes during the planning process. The introduced use of the guideline will contribute to the limited number of studies, concerning the evaluation stage of the spatial plans in Türkiye, besides guiding the related possible legal regulations regarding the TP.

The Bernoulli Assembly Line: The Analytical and Semi-Analytical Evaluation of Steady-State Performance

Assembly lines are one of the cornerstones of modern production systems, significantly affecting the global society, economy, and other ancillary sectors. This is why the evaluation of assembly lines is particularly significant. Hence, the research on modeling approaches is presented in this paper, yielding an efficient mathematical tool that enables the evaluation of the steady-state performance of assembly lines at low CPU cost. First, the analytical model and the transition matrix were developed for the general case, and second, dimensionality issues and demanding computational requirements were tackled by applying the finite state method. Both approaches were employed in different theoretical cases in order to validate the finite state method against the analytical solution. Additionally, the developed evaluation framework was applied in the case of a realistic assembly system, and the obtained results were successfully validated against the factory floor measurements. The comparison of the obtained results proves the finite state method as a reliable and CPU-efficient method, suitable for the evaluation of its key performance indicators as well as implementation within more sophisticated design procedures. This kind of predictive analytics is intended to support production management and enhance the reliability of long- and short-term decision-making in the context of the digital twinning of production systems.

Development of evaluation framework for the selection of run-of-river hydropower potential sites to be included in the Zambian Hydropower Atlas

Abstract Hydropower is a source of renewable energy, which provides clean electricity around the world with lower greenhouse gas emissions than other sources of energy. Zambia's electricity deficit has been increasing in recent years. As of 2019, over 1.9 million households (57.6%) had no access to electricity and over 96% of the rural population are still without electricity. This calls for attention and sustainable solutions to electrification as reinforced by goal number 7 of the sustainable development goals. Such solutions include the development of a Zambian Hydropower Atlas that can showcase the country's hydropower potential including small-scale technologies, which can boost Zambia's electrification by providing green electricity. The aim of this study was to develop a run-of-river evaluation framework for the selection of hydropower potential sites to be included in the Zambian Hydropower Atlas. The data and formulas required to evaluate hydropower potential were identified and evaluated to develop the evaluation process in the Zambian context. The developed evaluation framework was applied to an existing run-of-river hydropower site located in Zambia to show its application, and it estimated the hydropower potential at the site within a deviation of 14%. The developed evaluation framework can give a first-order evaluation of hydropower potential.

Tool characterisation framework for parametric building LCA

Connecting Life Cycle Assessment (LCA) to parametric design has been suggested as a way of facilitating performing environmental assessments in early design stages. However, no overviews of potential approaches and tools are available within recent research. Also, no characterisation frameworks adapted for parametric LCA tools are present. In order to guide the development of workflows for environmental analysis aimed at the early design stage of buildings, the goal of this paper is to provide such a framework, and to demonstrate its use by characterising a number of available LCA plug-ins for the commonly used parametric design framework Grasshopper® (GH). First, a framework for classification and characterisation of tools based on workflow, adaptability, and required user knowledge was developed. Second, a tool inventory was performed, identifying 13 parametric LCA plug-ins for GH. Finally, four of these plug-ins were further investigated using the developed evaluation framework, a user persona approach, and a simplified test case. It was found that the characterisation framework was able to differentiate tools based on the level of LCA expertise integrated in the tools, and the allocation of responsibility for data entry and interpretation. A contrast was found between streamlined tools, and tools which provide more versatility. The characterisation framework, and the resulting overview of approaches can be used to guide the future development of parametric environmental analysis frameworks.

P02-02 Evaluating community-based programmes for health promotion: a novel approach considering the complexity perspective

BackgroundFor the past decade, community-based programmes have been a popular strategy for physical activity promotion. The implementation of these programmes is a complex process, characterized by (a) objectives that vary locally, (b) adaptions to the programme over time in response to a community's shifting needs, challenges and opportunities, (c) emergent outcomes, and (d) non-linear causality. This poses several challenges for evaluation, as commonly used evaluation designs mainly focus on predetermined programme components and outcomes. Such a traditional evaluation approach may overlook necessary but unanticipated programme developments or outcomes and provide limited opportunity to learn from these. The aim of this study was to develop a novel evaluation approach that considers the complexity perspective, in order to evaluate a large community-based programme for children's physical activity and health promotion in the Netherlands.MethodsAn exploratory review of theoretical and methodological literature regarding community-based health promotion, complexity theory, developmental evaluation and theory based evaluation was conducted. Based on this review a novel evaluation approach was developed.ResultsThe developed evaluation framework focusses on elements of the complex and adaptive implementation process of community-based health promotion. These include the local programme theory, implementation, adaption, the influence of context and feedback loops, and intended as well as emergent and unintended outcomes. By studying each of these elements in practice using innovative qualitative methods, including Ripple Effects Mapping and the Critical Event Card tool, principles that guide effective health promotion across community contexts can be extracted. Practice-based knowledge can subsequently be validated in other contexts.ConclusionsThe proposed evaluation approach aims to inform both research and practice (local and national programme planners and policy makers), by considering the implementation of community-based programmes as a complex process in evaluation. Using this evaluation approach will provide insight in how community-based health promotion programmes impact communities, and which mechanisms underly success or failure. The proposed evaluation approach may be relevant for other physical activity promotion programmes or policies. Since considering complexity in evaluation is a relatively new challenge in public health, we believe it is essential to share and deliberate on innovative evaluation approaches and methods.

An Evaluation Framework for Sustainable Development: The Challenge for Planners and Development

The continued urbanizing with rapid development has induced the changes of several urban environmentalaspects both positive and negative impacts. Although urban development has brought high technology improvementto support the demand of population, the transformations in term of replacement of natural resources andsocial value has become sustainability challenges, especially in the nonphysical terms. These changes has beenan evidence of influences of revolutionize on urban physical terms create on the structure of urban morphologyกรอบการประเมินการพัฒนาอย่างยั่งยืน:ความท้าทายของนักวางแผนต่อการพัฒนาเมืองAn Evaluation Framework for Sustainable Development:The Challenge for Planners and Developmentภาวิณี เอี่ยมตระกูล1 ชมพูนุท คงพุนพิน2 และ วิมลสิทธิ์ หรยางกูร3Pawinee Iamtrakul1, Chompoonut Kongphunphin2 and Vimolsiddhi Horayangkura3คณะสถาปัตยกรรมศาสตร์และการผังเมือง มหาวิทยาลัยธรรมศาสตร์ จังหวัดปทุมธานี 12121Faculty of Architecture and Planning, Thammasat University, Pathumthani, 12121, ThailandE-mail: iamtrakul@gmail.com186 JARS 10(1). 2013which has been essential for meeting this challenge to improve efficient urban development and planningphase. The conceptual and analytical framework covering different aspects both physical and nonphysicalcharacteristics with rational land use structure plays an essential role for objectively evaluating thesustainability of urban land use. Thus, to explore the association of those characteristics, this study identifiedthe potential neighborhood structure by applying a geographical analysis tool to quantify the spatial interactionof social space of the adjacent area. Consequently, social features could be determined in terms of socialcapital of different locations in dissimilar neighborhoods of Thakhlong municipality, Pathumthani province. Basedon the application of Potential Surface Analysis (PSA) and Urban Network Analysis (UNA), the major factors forevaluating the sustainability of urban land use could be used to explain. It was found that public spaces of thetraditional communities within the study area demonstrated poor urban potential. On the other hand, with goodlocal accessibility and low traffic volume, these areas have been important places of the community in term ofpublic spaces such as space in temple, market, etc. The more social capital could be induced within this typeof spaces rather than the community near by the industrial area which is represented of new development areaof good accessibility with higher hierarchy of roads. This finding could be applied for further suggestionsand recommendations for concerned government to design relevant policy in achieving the sustainabledevelopment of urban land use and planning. Also the framework of this study could be appropriate for anassessment of the sustainability of urban land use and planning.

Multi-Dimensional Evaluation Framework for the Sustainable Development of Forest Health Bases and Site Selection for Application in China

In the context of global aging, people’s awareness of health is deepening, and the rapid economic development has drawn widespread attention to the health tourism industry. As a way of experiencing health, forest health tourism is becoming increasingly favored, and the site selection and construction of forest health bases (FHBs) have also developed accordingly. To ensure sustainability in the process of the site selection and construction of FHBs, the suitability of regional development and the relative coordination of the market, environment, and resource levels should be considered. Although there have been numerous studies on sustainable forestry management, a comprehensive sustainability assessment framework based on development suitability and coordination in three dimensions is needed to guide the site selection and the construction of FHBs. The following tasks were carried out in this study: (1) based on market sustainability goals, environmental optimization goals, and ecological resource sustainability goals, a comprehensive sustainability evaluation framework for development suitability indicators and coordination indicators in three dimensions was established; (2) via the use of this framework, the construction potential of FHBs in 41,636 towns in China was evaluated; the evaluation results show that the towns in Anhui, Jiangxi, Guangdong, Guangxi, Fujian, Zhejiang, Hunan, Hubei, Guizhou, and other provinces of China generally have superior conditions for the development of FHBs; (3) a multi-dimensional comprehensive analysis of FHB site selection sustainability based on development suitability and coordination was carried out for four batches of approved pilots. The comprehensive analysis results demonstrate the worsening evaluation results of the four batches. The proposed framework can provide a reference for FHB development policies for countries worldwide.