Thailand Project Research Articles

A More Effective Social Protection System for Older Workers: A Case Study of the Older Adult Employment Project in Thailand

The phenomenon of old-age pensioners reentering the workforce is neither new nor unique and has been well-reported in several published literature. However, there are remaining challenges to this group of job seekers whose needs have yet to be well-documented from employer’s perspectives, especially regarding decent work, legal landscape, and organizational culture. Our study seeks to provide a better understanding of the underlying causes of these and to help policymakers introduce social protection policies to create a more welcoming and supportive environment for older workers. The study used a case study from service companies in Thailand that participated in the Thai government’s campaign on promoting older employment. Data was collected from interviews with top managers of the human resources department, and that information was analyzed by thematic analysis. Key findings highlighted that the supportive mechanisms for matching decent work, a room for integrating legal framework, and a culture that values inclusivity and fair treatment of all workers, regardless of age, can enhance the social protection system for older workers. The establishment of a modern database of older workers’ skills, which ensures easy accessibility to both employers and older workers, the establishment of a task force specific for monitoring laws and regulations concerning older employment, and the development of effective measures against workplace discrimination are recommended as effective interventions for social protection.

Hidden emotional trends on social media regarding the Thailand–China high-speed railway project: a deep learning approach with ChatGPT integration

Leveraging sentiment analysis on social media reveals hidden emotional trends by providing deep insights into the public’s collective opinions and feelings because social media can reflect most opinions based on true feelings. However, there is no time-series analysis of Thai opinions on social media regarding government projects in Thailand. Therefore, the focus of this research is to survey and dynamically analyze sentiment on social media platforms, particularly YouTube, regarding the Thailand–China High-Speed Rail Project (Thai–China HSR Project). This is a major project involving an investment of over 500 billion baht, a collaborative effort between the Thai and Chinese governments aimed at developing transportation infrastructure. It leads the public concerns of Thai people about the potential economic and social impacts. The deep learning (DL) technique was used for this analysis by the Bidirectional Encoder Representations from Transformers (BERT) model, together with WangchanBERTa, a Thai language model specifically designed to analyze opinions from Thai comments received from YouTube from July 2015 to January 2024. The analysis reveals that citizens’ sentiments are primarily neutral, with more negative than positive sentiments with the passing years. Results also indicate that the data volume has increased since 2019 and peaked in 2022. Negative comments peaked in January 2022, and based on our analysis, such negative comments followed news covering the opening of the China–Laos Railway on December 1, 2021. Video contents were related to the Thai–China HSR Project, which provides comparative reviews and analysis of government operations. Additionally, we explore the possibility of integrating AI technology based on the ChatGPT 4 model to support data interpretation. Although the AI model can interpret data quickly and efficiently serve as a convenient method for users, the results lack the in-depth analysis that should be done by experts in the field. The proposed framework could be useful to government agencies and can be used to quickly and efficiently survey and track public opinion. The results can be used for policy planning, strategic decision-making, and improving communications to better inform citizens about projects and operations, leading to the country’s sustainable economic and social development.

Analyzing the critical delay factors for construction projects in the public sector using relative importance index and machine learning techniques

This study aims to identify the causes of delays in public construction projects in Thailand, a developing country. Increasing construction durations lead to higher costs, making it essential to pinpoint the causes of these delays. The research analyzed 30 public construction projects that encountered delays. Delay causes were categorized into four groups: contractor-related, client-related, supervisor-related, and external factors. A questionnaire was used to survey these causes, and the Relative Importance Index (RII) method was employed to prioritize them. The findings revealed that the primary cause of delays was contractor-related financial issues, such as cash flow problems, with an RII of 0.777 and a weighted value of 84.44%. The second most significant cause was labor issues, such as a shortage of workers during the harvest season or festivals, with an RII of 0.773. Additionally, various algorithms were used to compare the Relative Importance Index (RII) and four machine learning methods: Decision Tree (DT), Deep Learning, Neural Network, and Naïve Bayes. The Deep Learning model proved to be the most effective baseline model, achieving a 90.79% accuracy rate in identifying contractor-related financial issues as a cause of construction delays. This was followed by the Neural Network model, which had an accuracy rate of 90.26%. The Decision Tree model had an accuracy rate of 85.26%. The RII values ranged from 68.68% for the Naïve Bayes model to 77.70% for the highest RII model. The research results indicate that contractor financial liquidity and costs significantly impact construction operations, which public agencies must consider. Additionally, the availability of contractor labor is crucial for the continuity of projects. The accuracy and reliability of the data obtained using advanced data mining techniques demonstrate the effectiveness of these results. This can be efficiently utilized by stakeholders involved in construction projects in Thailand to enhance construction project management.

May Measurement Month 2021: an analysis of blood pressure screening results from Thailand.

Blood pressure (BP) measurement is the mainstay for diagnosing and treating hypertension. Blood pressure screening in the May Measurement Month (MMM) project is helpful for the early detection of hypertension, which is usually asymptomatic. This study aimed to investigate the epidemiology of hypertension from data in the MMM21 project in Thailand. A cross-sectional study was conducted according to the MMM clinical study protocol for MMM21 in all regions of Thailand from August to November 2021. We included adults aged ≥18 years. Baseline characteristics, history of hypertension diagnosis, and treatment were collected through the questionnaires followed by three standardized BP measurements, 1 min apart. We included 10 940 participants with a mean age of 41.3 (SD ± 13.5) years. Only 6% never had their BP measured before. Of all participants, 30.2% had hypertension, and among this hypertensive population, 50.3% were aware, and 46.2% were taking antihypertensive medications. Of participants with hypertension, 31.6% had controlled BP (<140/90 mmHg), and BP control was 68.5% among those taking antihypertensive medication. The proportion of participants who had diabetes, were on aspirin, and were on statin were 6, 7.2, and 11.4%, respectively. Almost all participants (93.7%) had received at least one COVID-19 vaccination, and 8.0% reported a previous COVID-19 positive test. Most of the participants (97.4%) received hypertension care at no cost. Hypertension awareness and overall BP control rate were relatively low, while most subjects had previously had their BP checked. The widespread use of BP measurement may improve the diagnosis and treatment of hypertension to improve the care of those with hypertension in Thailand.

Airport development projects in Thailand: a case study of Betong International Airport

Airport development projects in Thailand: a case study of Betong International Airport

Pathogenic germline variants among Thai patients with colorectal cancer: A study in Genomics Thailand Project.

e22534 Background: Germline variant testing in colorectal cancer (CRC) patients (pts) has been applied in many countries. Limited data is known regarding germline CRC prevalence in Thailand and other low to middle-income countries in Southeast Asia. Identifying the variants in different ethnicities may show the variety in frequency of the pathogenic germline variants (PGVs) and their relationship with clinical characteristics. Our study reports on the distribution of PGVs and their clinical findings in Thai CRC pts. Methods: We use the germline testing results from the Genomics Thailand Project during 2020-2023, which performed next-generation sequencing on 50,000 pts in 5 disease groups. CRC pts in our institution with a potential risk of carrying PGVs were sent to a geneticist to obtain a family history prior to undergoing germline testing with 25-96 cancer-predisposing genes. Pts with complete pedigree data and germline testing results were enrolled in our retrospective cohort to analyze the variants and clinical findings from chart reviews. Descriptive statistics, the Cox proportion hazards model, and the Kaplan-Meier method were used to evaluate the results. Results: We included 137 CRC pts with a mean age of 47 years at diagnosis, and 58.4% were male. Of these, 38/137 (27.8%) pts were identified as pathogenic/likely pathogenic(P/LP). 26/38 (68.4%) were pathogenic Lynch syndrome (LS), 16 (42.1%) MLH1, 6 (15.8%) MSH2, 2 (5.3%) MSH6, and 2 (5.3%) PMS2. Among pathogenic non-LS, the most frequent variant was 4 (10.5%) APC, followed by 3 (7.9%) ATM, 2 (5.3%) BRCA2, 1 (2.6%) PTEN, 1 (2.6%) BARD1, and 1 (2.6%) monoallelic MUTYH. The LS group was significantly associated with a family history of CRC (p &lt; 0.001), endometrial cancer (p = 0.001), and a synchronous/metachronous CRC (p = 0.003) compared to the non-PGVs group. Likewise, the presence of CRC in a first-degree relative (p = 0.025), more than one CRC pts in the family (p = 0.027), or early onset CRC (p = 0.012) in a first-degree relative was also significantly higher in the pathogenic non-LS group compared to the non-PGVs group. CRC pts who had more than one primary cancer in a lifetime were not significant in the LS or non-LS group compared to the non-PGVs group. At a median follow-up time of 60 (range 7-453) months, Pts in the PGVs group tended to have a shorter median time from the first CRC diagnosis to a second event defined as any of metachronous/synchronous CRC, recurrent CRC, or second cancer in a different organ compared to the non-PGVs group (135 vs. 228 months, p = 0.11). Conclusions: 27.8% pts in our cohort carried P/LP germline variants. The PGVs group was associated with a shorter time to the second event and a higher rate of familial cancer. Our study supports the benefits of genetic cancer screening. [Table: see text]

Minimum Carbon Credit Cost Estimation for Carbon Geological Storage in the Mae Moh Basin, Thailand

Carbon geological storage (CGS) is one of the key processes in carbon capture and storage (CCS) technologies, which are used to reduce CO2 emissions and achieve carbon-neutrality and net-zero emissions in developing countries. In Thailand, the Mae Moh basin is a potential site for implementing CGS due to the presence of a structural trap that can seal the CO2 storage formation. However, the cost of CGS projects needs to be subsidized by selling carbon credits in order to reach the project breakeven. Therefore, this paper estimates the economic components of a CGS project in the Mae Moh basin by designing the well completion and operating parameters for CO2 injection. The capital costs and operating costs of the process components were calculated, and the minimum carbon credit cost required to cover the total costs of the CGS project was determined. The results indicate that the designed system proposes an operating gas injection rate of 1.454 MMscf/day, which is equivalent to 29,530 tCO2e per year per well. Additionally, the minimum carbon credit cost was estimated to be USD 70.77 per tCO2e in order to achieve breakeven for the best case CGS project, which was found to be much higher than the current market price of carbon credit in Thailand, at around USD 3.5 per tCO2e. To enhance the economic prospects of this area, it is imperative to promote a policy of improving the cost of carbon credit for CGS projects in Thailand.

THAILAND’S JOURNEY WITH CHINA’S BELT AND ROAD: A NINE-YEAR ODYSSEY UNDER GENERAL PRAYUT’S LEADERSHIP (2014-2023)

This article examines Thailand’s participation in China’s Belt and Road Initiative (BRI) during General Prayut Chan-o-cha’s government between 2014 and 2023. The study underscores the aftermath of the 2014 coup, which saw a surge in the Sino-Thai relationship. Notably, the Prayut government hastily announced a commitment with Beijing for the ambitious 608-kilometer Bangkok-Nong Khai high-speed rail project, a key component of the BRI rail network connecting Kunming through Laos, Thailand, Malaysia, and Singapore. Substantial progress was anticipated for the high-speed rail project once the first phase of construction connecting Bangkok to Nong Khai gained approval through an executive decree in 2017. However, as of May 2023, only 3.5 kilometres of the proposed 608-kilometer rail track had been completed, raising questions about the government’s commitment. Meanwhile, BRI-related projects have expanded, including the development of high-speed rail connections between Don Mueang, Suvarnabhumi, and U-Tapao airports, as well as investments in the Eastern Economic Corridor. The study delves into the complexities of the Prayut government’s foreign policy decisions and their implementation. It examines how international and domestic factors influenced the formulation and subsequent execution of the BRI projects in Thailand. This research offers valuable insights into the intricate interplay between international negotiations and domestic politics, shedding light on the dynamics of the Sino-Thai BRI partnership.

Perceptions of Learners and Specialists Toward ECHO Palliative Care Project in Thailand.

The Extension of Community Health Outcomes (ECHO) is a global movement that aims to decentralize the knowledge of specialists to primary care. A pilot, ECHO palliative care project in Thailand, was introduced to enhance the implementation of palliative care practice. To assess learners' and palliative care specialists' perceptions toward the ECHO palliative care project to improve and expand the project in the future. A total of 15 hospitals in 7 provinces in Northern Thailand, including provincial and district hospitals. A qualitative study was conducted among learners (primary care providers) and palliative care specialists who participated in the pilot program. Semi-structured interviews were used to explore the potential impact of the project on clinical practice, the strengths and weaknesses of the ECHO program and platform in the Thai context, and suggestions for expansion. Thematic analysis was used for qualitative analysis. Pre- and post-confidence scores, using a 5-point Likert Scale, for palliative care practice among learners were analyzed using paired T-tests. Twenty participants were interviewed: 15 learners and 5 palliative care specialists. The confidence in practicing palliative care after participating in the ECHO palliative care project significantly increased for the learners, from 2.93 (95% CI, 2.49-3.38) to 3.93 (95% CI, 3.68-4.19) points (P = .003). Three themes emerged through the process evaluation of the pilot ECHO palliative care project: (1) applicable lessons that can translate to practice, (2) an effective learning program and assessable platform, and (3) suggestions for expansion. The ECHO palliative care project increased confidence in providing palliative care for primary care providers in Thailand. Through capacity building, participants reported applying the knowledge to improve local health services and develop a network for consultations and referrals. There is potential for expansion of the ECHO palliative care project in Thailand.

DEVELOPMENT OF BUILDING INFORMATION MODELING (BIM) INNOVATION FROM A PUBLIC POLICY AND STRATEGIC MANAGEMENT PERSPECTIVE: OPPORTUNITIES FOR POLICY FORMULATION AND IMPLEMENTATION IN THE GOVERNMENT SECTOR, THAILAND

This research aims to analyze the readiness of the construction industry in Thailand for the development and formulation of Building Information Modeling (BIM) innovation from a public policy and strategic management perspective. The study examines the opportunities for policy formulation and implementation in the government sector, drawing on successful examples from developed countries, and aims to develop policy and implementation guidelines for stakeholders in the construction industry. The findings reveal that Thailand's construction industry is moderately prepared, with limitations in skilled personnel and government support. Successful adoption of BIM in developed countries shows strong government support, standardization, and continuous personnel training as key factors for success. The study’s recommendations include promoting training and skill development, enhancing government support, studying international case studies, developing support systems and tools, fostering collaboration and communication, and managing change. The adoption of BIM in the government sector can increase efficiency and improve the success of construction projects in Thailand.

Numerical simulation of potential site for CO2 sequestration in a depleted oil reservoir in northern Thailand

Due to the effects of an anthropogenic global warming, the concern about the emissions of carbon dioxide (CO2) into the environment has increased in various industries like petroleum industry. Currently, the use of the geological storage techniques, such as carbon capture and sequestration (CCS), is the most promising way to mitigate these emissions. The objective of this study on a numerical simulation is to investigate CO2 onshore geological storage in the depleted oilfields in the North of Thailand. The geological modelling is a critical step in proving the suitability of a geologic formation for a CCS project. The simulations of the pressure build-up, CO2 plume movement and the amount of CO2 stored are the main points of this research. The development of the 3D reservoir model is performed by means of CMG-GEM, and CMG-WINPROP. This study performs how CO2 sequestration is injected with the flow rate of 1000–4000 tons/day into a reservoir with a depth of 2120-2161 m. The result indicates that CO2 moves up to the top formation. Moreover, 0.583 Mt of CO2 can be stored into the reservoir. This presents the preliminary study for the CO2 sequestration in Northern Thailand, which aids in the next phase of CCS projects in Thailand.

Data governance for wicked problems: A case from the Thai health system

AbstractThis study examined how data governance practices in multi‐agency organizations manifest while trying to solve a wicked problem. This study adopted the data governance framework to analyze the Working Group that is responsible for opium addiction and treatment projects in Thailand. This framework comprises five decision domains of data: data principles, data quality, metadata, data access, and data lifecycle. The results showed that the Working Group did not have strong data principles among the relevant agencies and faced local obstacles. This led to uncertainty in the other four areas. It demonstrated, however, some effective outcomes by improvising its specific approach, which considers the relationships between various stakeholders in their dynamic adaptations within the overall data governance process. The Working Group practiced localized framework strategies, which consisted of eight approaches: data consensus in the knowledge network, strong structure, information integrity and cultural awareness, flexibility of organizational integration, dynamic adjustment process, effective information sharing, unlocking stagnations, and data governance cycles. All these strategic approaches compensated for the low performance of the current universal data governance framework.

The Barriers Analysis for Waste-to-Energy Project Development in Thailand: Using an Interpretive Structural Modeling Approach

Waste-to-energy (WtE) is national policy. From this view, WtE technology has been promoted. Many WtE projects in Thailand were unsuccessful due to several problems. This research aimed to analyze the key barriers impacting the WtE project development in Thailand. The Interpretive Structural Model (ISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) analysis tool have been used to evaluate the barriers that significantly in the development of WtE projects. In this study, WtE projects focused on electricity power generation in order to correspond to the Alternative Energy Development Plan (AEDP) target and power purchase agreement constrain of the government. The barriers were obtained from six sections consisting of social issues, environment, national policy, technology, economy, and project management. From six sections, there are 20 barriers that were identified. The ISM and MICMAC analysis showed that the key barriers impacting the WtE projects development were insufficient amount of waste and poor waste management planning. These two barriers correspond with many studies in Thailand and other countries. The project developers or investors must take these two barriers and other barriers with less impact mentioned in this study into account before developing the WtE projects in Thailand.

SG-APSIC1127: Digital transformation of the central sterile supply department: Justify by tracking system

Background: Avoidable infections in healthcare (healthcare-associated infections or HAIs) occur globally. The causes of HAI are influenced by a complex combination of gaps in policies, infrastructure, organization, knowledge, healthcare worker behavior, and patient-related factors. Through knowledge, best practices, and infrastructure improvement, the infection prevention and control (IPC) team aims to prevent harm to patients and healthcare workers due to HAIs. The most common HAIs are surgical site infections (SSIs) caused by harmful device-reuse practices, inadequate sterilization, and/or inadequate decontamination procedures. Disinfection and sterilization of instruments and medical devices play very important roles in HAI and SSI prevention. World Health Organization (WHO) Collaborating Centre in Quality Improvement Program certification, the first pilot project in Thailand, included the Central Sterilizing Services Association of Thailand and 15 hospital central sterile supply departments (CSSDs). This quality improvement program for sterilization reprocessing aimed to prevent harm to patients and healthcare workers due to HAIs. Objectives: We sought to reduce damage to instruments caused by inadequate reprocessing sterilization to zero incidents. We sought to reduce inadequate packing to ≤3 events per month. We sought to reduce the need to resterilize instruments by &gt;80%. Methods: A root-cause analysis meeting was held by CSSD staff, and an IT vendor was consulted about developing an electronic alert system. The following changes were implemented: Staff packed instruments using a list of pictures for each set. Sticker labels were applied showing the proper number of pieces in the set. Identification O-rings were added to instruments with inventory dates, serial numbers, and instructions for use. Stickers were added to indicate the method of sterilization, such as ethylene oxide gas only or hydrogen peroxide only. Results: Reports of damage due to the sterilization process decreased to zero. No events related to the packing process were reported, and resterilization of instruments decreased by 98.94%. Conclusions: In this project, we implemented a quality improvement process and tracking system, reduced defects, and increased healthcare worker competency to improve patient safety.

Sustainability indicators to achieve a circular economy: A case study of renewable energy and plastic waste recycling corporate social responsibility (CSR) projects in Thailand

To promote their public image, a growing number of companies have adopted corporate social responsibility (CSR) projects that benefit various social interests. As such, it is imperative to audit the social, environmental, and economic dimensions of CSR projects for their sustainable development. This paper presents an assessment of three CSR projects undertaken by the energy industry (renewable energy) and commercial sector (plastic waste recycling) in Thailand to transition towards the circular economy (CE) business model. A set of CE indicators were selected from the World Business Council for Sustainable Development: WBCSD 2018 European Commission 2018, and British Standard Institution 2017 and compared with the sustainability indicators listed in the ISO 26000:2010 (referenced in the Global Reporting Initiative (GRI): G4 Guidelines). These indicators were established to assess the readiness of companies to implement sustainable CSR projects. The assessment results showed that the CSR projects in the case study were conducive to the CE model, as most of the CE concepts evaluated by the performance indicators were already in place. This study aimed to support the implementation of CSR projects that contribute to adopting a CE business model and determine key performance indicators (KPIs) to measure and monitor CSR projects in terms of their CE concepts. The sustainability KPIs proposed in this study can serve as a set of guidelines to drive CE strategy adoption and allow for the identification of sustainable CSR projects that can simultaneously offer more value creation and satisfaction for all stakeholders, including society and the companies, while reducing environmental impacts. This paper integrates CSR into a CE approach that results in business sustainability and contributes to Sustainability Development Goal (SDG) targets.

Public perception of the Starlink Satellite project in a developing country

Starlink is a long-term project to address disparities in rural broadband Internet access that is led by SpaceX and Elon Musk. The project’s goal is to launch thousands of smallsat-class satellites into low Earth orbit (LEO) as part of a mega-constellation to provide continuous, high-speed Internet around the world. SpaceX believes that its technology can outperform the competition by using shallow orbits. When compared to traditional geosynchronous satellite Internet infrastructure, Starlink promises lower latency and higher-quality connections to its customers (Walker &amp; Elliott, 2021). This study aims to investigate the public perception of the Starlink Satellite project in Thailand. A quantitative approach was used and an online questionnaire was conducted to collect data from a convenience sample of 1,258 participants in Thailand. Binary regression analysis was performed to analyse the data. The findings revealed that the public perception of the Starlink Satellite project in Thailand could be described by gender, age, computer, laptop, tablet, wearable device, Internet duration, mobile Internet, Instagram, TikTok and YouTube. Consequently, Starlink should devise an effective strategy to entice users to increase their awareness and use satellite Internet in countries where fibre Internet is more affordable and convenient.

Exploring Causes of Delay in Payment from Parties involved in Road and Highway Projects in Thailand

Delay in payment is considered to be one of the most periodically arisen problems in the construction industry. It harms time, cost, and quality. This paper presented a result of a survey which investigated causes of delay in payment of road and highway construction projects in Thailand. Parties involved in construction-borne failure identified the causes of delay in payment and their severity through a questionnaire survey. The delay in payment causes were categorized into 4 main groups (owner, contractor, consultant and architect) which was based on parties-borne failure. The questionnaire listed of 41 factors and sought to identify the significance of major delay in payment factors and determine their impact on road and highway construction projects. The total of 120 responders was asked to weight the degree on seriousness via a questionnaire survey. The survey concluded that top five severity indexes in causing a delay in payment were delays in progress payment, the financial status of owners, poor qualification of the contractors' technical staff, delays in issue approval documents and failure in applying for claims.

ASSESSMENT REPORT ON THE PREVENTION AND SOLUTION OF SCHOOL PREGNANCY PROBLEMS OF WATJAMAROM SCHOOL UNDER THE ROI ET PRAIMARY EDUCATION SERVICE AREA 2

This research aims to1) To evaluate the performance of the Watjamarom School in Thailand project on the prevention and alleviation of teenage pregnancy problems, which is a part of Roi Et Primary Education Service Area 2 according to the CIPP model in four aspects. It consists of (1) context evaluation, (2) input evaluation, (3) process evaluation, and (4) product evaluation. 2) To study problems and obstacles and recommendations on the implementation of the prevention and alleviation of teenage pregnancy problems Watjamarom School in Thailand project on the prevention and alleviation of teenage pregnancy problems, which is a part of Roi Et Primary Education Service Area 2. The sample group used in the assessment it consists of administrators, teachers and educational personnel, totaling 16 people, students totaling 118 people, basic education board totaling 7 people, parents totaling 118 people, which totals 259 people. The tool used to gather data during this time was a total of 5 questionnaires, with No. 1–4 being a questionnaire for the Watjamarom School Pregnancy Prevention and Solution Project under the Roi Et Primary Education Service Area 2. This questionnaire was used to gather information about the environment, preliminary factors, processes, and productivity. The sixth problem in this respect is a satisfaction survey with a 5-point rating system for the Watjamarom School Pregnancy Prevention and Solution Project, which is part of the Roi Et Primary Education Service Area Valuable confident by finding Cronbach's alpha coefficient (α - Coefficient) equal to 0.90, 0.88, 0.95, 0.93, 0.93 respectively, data were analyzed using a computer program to calculate percentage, mean, and standard deviation.

Co-Creating Built Environment Knowledge for Sustainable Development: Case Study Report from Thailand

Co-creation has been used widely in many fields of development. Many development projects in Thailand apply co-creation as an approach to development. However, the academic knowledge about co-creating built environment in Thailand is limited and remains unclear about how to involve the community in co-create the built environment for sustainable development. Therefore, this study aimed to describe the processes and the practices of co-creating built environment as appeared in the context of Thailand through the description and analysis of cases. A case study of Ban Moh is described and analysed in details and study comparatively with other four well-known case studies in co-creating built environment knowledge for sustainable development. The result of the study includes the processes and practices of co-creating built environment in Thailand, it can be used for educational purposes. It also identifies key success factors, problems, and obstacles in the implementation of co-creation concept learning.

Public Participation and Performance of Government Projects in Thailand

Public participation is the inclusion of the public in the activities of any organization or project. The performance of government projects in Thailand has been slow. Some of the projects have taken a longer time than anticipated to be completed. In addition, some projects are not the priority of the citizens and they end up being of no value to the citizens. Thus, the study sought to examine the effect of&nbsp;public participation on the performance of government projects in Thailand. The study used a descriptive research design. The collection of the data was done using questionnaires. The study sampled randomly 1378 people in Bangkok. The analysis of the data was done using SPSS. The study findings showed public participation has a positive and significant effect on the performance of development projects in Thailand. Public participation is a basic condition in local democracy because it allows the citizen to take part and contribute to bringing more solutions to any type of problem. Most governments are called to change and give their citizens room in the decision-making processes, from the low levels of governance to the highest. The study concluded that public participation has led to the effective planning, execution, operation, and monitoring of projects. It is recommended that the project officers should encourage the participation of the community by motivating participants to offer their views on various projects. The project officers need to include locals in all relevant activities involving work sequencing, work organizing, financing and staffing. Public participation makes it possible to consider community issues. Public participation should be organized in a particular way to make sure that they contribute to the environmental, financial, and social sustainability concerns of the project. Keywords: &nbsp;Public Participation, Performance, Government Projects, Thailand