Goal Of Sustainable Management Research Articles

Spatiotemporal variation in biomass abundance of different algal species in Lake Hulun using machine learning and Sentinel-3 images

Climate change and human activities affect the biomass of different algal and the succession of dominant species. In the past, phytoplankton phyla inversion has been focused on oceanic and continental shelf waters, while phytoplankton phyla inversion in inland lakes and reservoirs is still in the initial and exploratory stage, and the research results are relatively few. Especially for mid-to-high latitude lakes, the research is even more blank. Therefore, this study proposes a machine learning method based on OLCI/Sentinel-3 satellite imagery to retrieve algal biomass abundance. Remote sensing models were developed to estimate the biomass abundance of three major algal groups: Cyanophyta, Chlorophyta, and Bacillariophyta. This study compared and evaluated 6 commonly used machine learning models, including extreme gradient boosting (XGBoost), support vector regression (SVR), backpropagation neural network (BP), gradient boosting decision tree (GBDT), random forest (RF), and categorical boosting (CatBoost). The results indicated that XGBoost exhibited the highest accuracy (R2 = 0.92, RMSE = 1.78%, MAPE = 9.96%) in estimating Cyanophyta’s biomass abundance. The RF model demonstrated the highest accuracy for estimating Chlorophyta’s biomass abundance (R2 = 0.72, RMSE = 6.57%, MAPE = 50.8%), while the GBDT model exhibited the highest accuracy for estimating Bacillariophyta’s biomass abundance (R2 = 0.9, RMSE = 4.66%, MAPE = 47.87%). The models were subsequently applied to all cloud-free OLCI images from Hulun Lake during the ice-free periods from 2016 to 2023, producing spatiotemporal distribution maps of the different phytoplankton biomass abundance. Cyanophyta dominated the biomass abundance (44.62 ± 3.47%), followed by Bacillariophyta (36.35 ± 2.68%), and Chlorophyta had the lowest proportion (10.42 ± 1.08%). Together, these three algae groups constituted 91.4 ± 1.55% of all phytoplankton in Hulun Lake. Significant annual variations in the biomass abundance of Cyanophyta and Bacillariophyta were observed, whereas those of Chlorophyta remained stable. Additionally, this study examined the effects of climatic factors and water quality parameters on the biomass abundance of algae. The findings suggest that temperature, wind speed, and atmospheric pressure are critical factors influencing the biomass abundance of the different algae groups. This study not only fills the gaps in the related field, but also provides a new method for monitoring algae, as well as a strong support for realizing the goals of sustainable management of water resources and ecological protection.

Tourist ESG engagement behaviors: conceptualization, scale development, and nomological Network

Although the environmental, social, and governance (ESG) framework has gained prominence as a fundamental principle in sustainable destination management, its assessment has predominantly focused on financial performance. Recognizing the pivotal role of tourists in achieving sustainability goals for destinations, this study aims to conceptualize tourists’ ESG engagement behaviors and develop a comprehensive scale for systematic measurements. Employing a mixed methods approach involving qualitative interviews and surveys with Korean and American tourists, this study develops an ESG engagement behavior scale comprising environmental behavior, social behaviors for residents, social behavior in consumption, and governance behavior. The study also evaluates the scale’s value by examining its theoretical relationships with antecedents, such as place attachment, and consequences, such as eudaimonic travel experiences and destination loyalty. This study proposes a conceptual framework and measurement scale for ESG engagement behavior, offering an effective application in destination ESG management and facilitating the design of marketing and reward programs.

Designing EDGE (Enhanced destination growth and engagement) to Improve the performance of marine tourism in East Java

Marine tourism has emerged as a significant contributor to the regional economy in East Java, Indonesia. However, the growth of this sector is hindered by inadequate infrastructure, limited community engagement, and underdeveloped marketing strategies. This research presents the EDGE (Enhanced Destination Growth and Engagement) model as a comprehensive solution to enhance the performance of marine tourism destinations in East Java. EDGE is a strategic framework that integrates sustainable destination management, innovation-driven tourism product development, and community-based participation. The study employs a mixed-method approach, incorporating both qualitative and quantitative analyses. Key findings reveal that the implementation of EDGE leads to increased visitor satisfaction, improved local community involvement, and heightened environmental sustainability. Recommendations for policy integration and long-term development are also discussed.

Sustainability of tourism initiatives in national parks on the tri-border of Slovakia-Poland-Ukraine as a stimulus for tourists' interest

Initiatives for sustainable destination management have long been a hot topic of the day. The tourism industry is no exception to the setting of strategies and solutions. In terms of ensuring long-term sustainability, many destinations are turning towards setting rules and limits that will be in line with nature conservation. Appropriately applied strategies eliminate the currently widespread phenomenon of over-tourism and, on the other hand, help travellers and local residents get the most out of the destination while minimizing damage to its natural resources. The paper provides a perspective on the implementation of sustainable initiatives in national parks. Using the example of visitors, he analytically evaluates the perception of the approaches to sustainable initiatives for the development of national parks in the tri-bordered area of Slovakia-Poland-Ukraine (Poloniny National Park, Bieszczady National Park, Uzhanskyi National Park) as a potential stimulus for increasing the visitors' rate and the repeated visits of the parks. Using the questionnaire methods survey, it evaluates the attitudes of tourists/visitors in three national parks and compares them with each other in terms of determinable principles and activities that can be implemented in the parks, as well as their motivation to visit again under the conditions of applying sustainability strategies. The results of the research in all three parks point to the fact that these national parks need more significant settings regarding the principles of sustainability, as well as educating the public about their benefits.

Geospatial Analysis of LULC in the Srinagar Region of Jammu and Kashmir using Sentinel-2 Data

Geospatial analysis based LULC mapping finds great utility in Himalyan region in order to carry proper assessment, evaluation and sustainable management of the existing resources. With the aid of remote sensing (RS) and geographic information system (GIS), the current study on LULC mapping was conducted in district Srinagar of Jammu and Kashmir for the year 2022. European Space Agency (ESA) based Sentinel-2 satellite was used as a data source. By using the technique of visual image interpretation, the study area was demarcated into 11 LULC classes viz, agriculture, forest, forest scrub, built-up, TOF, grassland, wasteland, waterbody, wetland, snow and horticulture. The findings of the study revealed that from the delineated LULC classes highest percentage (19.61%) of area was covered by forest and least (2.17%) was covered by wetland. Moreover, the values obtained for overall classification accuracy and kappa statistics were 89.09% and 0.88 respectively. Due to increasing population and urbanisation some of the important LULC classes like wetland, agriculture etc have been encroached thereby disturbing the overall ecological balance. Therefore, findings of the current study might be useful in planning and demarcating the area where we can develop green infrastructure which might be fruitful in achieving the sustainable management goals.

Unraveling the impact of high arsenic, fluoride and microbial population in community tubewell water around coal mines in a semiarid region: Insight from health hazards, and geographic information systems

High arsenic (As), fluoride (F-), and microbial pathogens coexist in semiarid conditions afflicting > 240 million people worldwide including Pakistan. Groundwater quality has declined due to geogenic and manmade activities providing suitable ground for ubiquity, bioavailability, and toxicity of contaminants. We tested the health hazard, distribution, and apportionment of As, F-, and microbes in groundwater around coal mines in Quetta, Pakistan. The range of As, and F- concentrations in groundwater were 0.2–16.6 µg/L, 0.4–18.5 mg/L. Both, As and F- correlate with high HCO3-, pH, Na+, SO42-, Fe, and Mn, and negatively with Ca2+ water. The coalfield showed many folds higher As 15.8–28.5 µg/L, and F- 10.8–34.5 mg/L compared to groundwater-wells. Geochemical phases revealed saturation of groundwater with calcite, dolomite, fluorite, gypsum, and undersaturation with halite-mirabilite, and arsenopyrite minerals. The positive matrix factorization (PMF) model assessed five-factor solutions: geogenic, industrial, coal mining, sulfide & fluoride-bearing mineral-dissolution, and agriculture pollution delivered As, F-, and microbial contamination. About 24.6 % and 64.4 % of groundwater samples exceeded the WHO guidelines of As 10 µg/L, F- 1.5 mg/L. The carcinogenicity, and non-carcinogenicity of As, and F- were higher in children than adults. Therefore, health hazards in children are of great concern in achieving sustainable management goals.

Synergistic cotreatment of cooling tower blowdown and produced waters: Techno-economic, sustainability, and optimization systems analyses

A blowdown and produced water cotreatment train design was preliminarily simulated to explore water-energy nexus synergy. This process model was able to provide results concerning water compositions, chemical demand, and energy intensity. The computational expense associated with this simulation made it intractable to use within optimization algorithms for further informative, comprehensive systems analyses. This work details the efforts of developing a framework suitable for the optimization of computationally demanding wastewater treatment train simulations, specifically demonstrated for the cotreatment train’s process, economic, and sustainability models. The unique challenges of the cotreatment train model motivated a modified surrogate optimization methodology to be developed. Using this framework, worst and best case economic scenarios were optimized to minimize the levelized cost of water (LCOW) employed in a reduced-order model-based simulation. Applying the optimal designs obtained from the surrogate optimization into the original comprehensive simulation resulted in an expected range of LCOW from $2.01 to $4.43m-3. Other established techno-economic and sustainability indicators further inform on process implications. The process was compared to current management practices of blowdown water treatment and produced water injection to discuss the advantages and disadvantages of the proposed cotreatment train designed for water reuse. The cotreatment process was estimated to have lower levelized treatment costs but require more chemicals and energy to manage a higher salinity wastewater than pure blowdown water alone. If sustainable management goals motivate produced water remediation, the cotreatment process can be beneficial for the broader scope of water management.

Application of AI Technology for the Development of Destination Tourism towards an Intelligent Information System

"The pervasive influence of Artificial Intelligence (AI) technology is fundamentally transforming industries and daily life. AI, an emulation of human intelligence in machines, endows systems with the capacity to autonomously learn reason and make decisions. By processing extensive datasets at unprecedented speeds, AI is ushering in a revolution across diverse domains, including healthcare, finance, education and manufacturing. Its applications span from elevating customer experiences through personalized recommendations to propelling advancements in areas like autonomous vehicles and precision agriculture. With the tourism industry in transformative evolution, AI is pivotal in enhancing visitor experiences, streamlining operations, and fostering sustainable destination management. AI-powered solutions personalize and simplify the entire traveller journey, offering tailored recommendations for pre-trip planning, on-site experiences and post-travel engagement. This not only boosts customer satisfaction but also elevates the overall appeal and competitiveness of destinations. Moreover, AI optimizes operational processes by utilizing predictive analytics and machine learning for demand forecasting, resource allocation, and crowd management. This facilitates data-driven decision-making, promoting efficient resource utilization and minimizing environmental impact. In sustainable tourism, AI monitors and manages environmental factors, employing smart sensors and analytics to assess ecological impact. This enables the implementation of proactive measures to preserve natural resources and protect biodiversity, contributing to smart infrastructure development for destination resilience. The integration of AI in destination tourism drives economic growth and enhances safety for travellers. AI-powered systems analyse real-time data to detect and respond to potential threats, ensuring a secure environment. As the tourism industry evolves, embracing AI becomes imperative for destinations to remain competitive, sustainable, and resilient. This abstract provides insights into the diverse applications of AI in destination tourism, underscoring benefits for tourists and destination management stakeholders."

Detection and Quantification of Arnica montana L. Inflorescences in Grassland Ecosystems Using Convolutional Neural Networks and Drone-Based Remote Sensing

Arnica montana L. is a medicinal plant with significant conservation importance. It is crucial to monitor this species, ensuring its sustainable harvesting and management. The aim of this study is to develop a practical system that can effectively detect A. montana inflorescences utilizing unmanned aerial vehicles (UAVs) with RGB sensors (red–green–blue, visible light) to improve the monitoring of A. montana habitats during the harvest season. From a methodological point of view, a model was developed based on a convolutional neural network (CNN) ResNet101 architecture. The trained model offers quantitative and qualitative assessments of A. montana inflorescences detected in semi-natural grasslands using low-resolution imagery, with a correctable error rate. The developed prototype is applicable in monitoring a larger area in a short time by flying at a higher altitude, implicitly capturing lower-resolution images. Despite the challenges posed by shadow effects, fluctuating ground sampling distance (GSD), and overlapping vegetation, this approach revealed encouraging outcomes, particularly when the GSD value was less than 0.45 cm. This research highlights the importance of low-resolution image clarity, on the training data by the phenophase, and of the need for training across different photoperiods to enhance model flexibility. This innovative approach provides guidelines for mission planning in support of reaching sustainable management goals. The robustness of the model can be attributed to the fact that it has been trained with real-world imagery of semi-natural grassland, making it practical for fieldwork with accessible portable devices. This study confirms the potential of ResNet CNN models to transfer learning to new plant communities, contributing to the broader effort of using high-resolution RGB sensors, UAVs, and machine-learning technologies for sustainable management and biodiversity conservation.

Exploration of marketing strategies through resource quantification and economic evaluation in Elaeocarpus serratus L., unlocking its potential

Elaeocarpus serratus L. is an indigenous tree that yields edible fruits with high nutritional value, yet the cultivation, marketing in mainstreams and consumption have not intensified so far despite its potential. So, this work aims to realize the unexplored potential of E. serratus as an agroforestry resource by evaluating the economic as well as marketing status of the fruits. The methodology consists of assessing the resource distribution, fruit yield, constraints for domestication and economic viability of E. serratus. According to resource quantification data, cluster 1 had the highest average fruit yield (32.5 kg). The respondents' opinionated harvesting challenges, with a mean Likert score of 3.711, underscore that the majority of fruits were wasted. The processed, salt dipped fruits have the highest selling profit of 150 INR (USD 1.80) per kg. The selling of fruits through different market channels and the t-test analysis of profit of raw and processed fruits indicated a significant difference (P<0.001). The raw and processed fruits have a total marketing cost of 995 INR (12 USD) and 1030 INR (USD 12.44) (for 10 kg). However, the marketing efficiency and degree of market performance were observed to be poor. The lack of value-added products, scattered distributions, seasonal availability and priority for exotic fruits affect their demand. Further, the study emphasizes the need to address marketing challenges and explore the economic potential of E. serratus. This aligns with the broader goal of sustainable management and commercial feasibility of other underutilized fruits globally and the report is the first of our knowledge.

Affective Dimensions of Compound Crises in Tourism Economies: The Intermountain Western Gateway Community of Nederland, Colorado

Affective economies align people and places according to identities and emotional capital, particularly during compound crises such as COVID-19. Through an embodied research approach, affect becomes an integral part of furthering knowledge production within crisis management to understand individual and community resilience. This research explores how affective dimensions express individual and community resilience as part of crisis and disaster management of tourism-based economies. We contribute knowledge of sustainable destination management in the context of intermountain western gateway communities (IWGCs) to center residents as primary stakeholders within conservation and resilience planning. The IWGC of Nederland, Colorado, is presented as a microcosm of change through which the lived experiences of residents during COVID-19 are analyzed. This approach embraces the potential of affective scholarship for conservation and destination planning through creative qualitative methods of inquiry. Within a crystallization methodology guided by a feminist new materialist epistemology, we incorporate residents’ creative expressions to understand how affective dynamics influenced resilience throughout compound crises. Findings are presented via three themes including affective dimensions of resilience, identity, belonging and responsibility, and affective tourism economies. Affective knowledge centering resident experiences may inform future planning for crisis and disaster management across IWGCs and other gateway communities balancing tourism, conservation, and community planning.

Characterizing Inbound Tourism in Mati City: Destination Attributes and Revisit Intention

The study intends to assess the level of tourist perceived destination attributes (local culture, activities & special events, local hospitality, infrastructure, destination management, accessibility, quality of service, physiography, superstructure, and quality of shopping) and the level of revisit intention in the City of Mati. This study also aimed to look into the utilization and importance of the tourist perceived destination attributes and their effectiveness towards revisiting intention. A non-exploratory plan was utilized for the study using illuminating overview strategy procedure. This study used an online survey through google forms to disseminate the survey questionnaire to the 500 tourists who visited the City of Mati. The study shows that the perceived destination attributes of Mati City as a travel destination are very much observed. On the other hand, the revisit intention in Mati City is highly observed. Above all, the tourist destination attributes and revisit intention are completely correlated and have a significant relationship. The results have marketing implications for the Mati City tourism and resort management. Sustaining satisfaction among tourists simply means that they were able to provide the need and wants for an anticipated experience and stay in the aspects. This will result in sustainable destination management and innovation if they continue to meet tourist expectations regarding destination attributes and experience (products).

Meaningful community engagement through advanced indicator systems for sustainable destination planning

This study advances the measurement of sustainable development in communities and destinations examining socio-ecological, environmental, cultural, and economic dimensions. By integrating qualitive insights within established indicator systems such as the European Tourism Indicator System, it addresses the limitations of traditional, solely quantitative approaches. Carrying out over 400 resident surveys in Co. Clare, Ireland, the research established sustainable indicators and assessed the destination's sustainability through resident-based metrics. For instance, 87% of residents believed that tourism benefits their community, yet only 23% of residents were satisfied with their involvement in planning. Thematic analysis of the open-ended responses provided crucial themes for sustainable destination management, highlighting resident concerns on transport, planning, management, and community involvement and benefits. The study concluded that relying solely on quantitative indicators, limits Destination Management Organizations (DMOs) and planners to Likert scale results, failing to capture nuanced impacts observed by destinations. The study highlights the insufficiency of solely using quantitative indicators, which risk oversimplifying community inputs and misinterpreting resident dissatisfaction, signally a need for diverse solutions to address varied concerns. The study also identified survey fatigue as a governance challenge, potentially hindering future sustainable development efforts. Aligning with the socio-ecological indicators of the community-environment-development nexus call for papers, this interdisciplinary research demonstrates the value of advanced indicator systems in promoting meaningful community engagement and supporting policy formulation for sustainable destination development. It offers a comprehensive framework for integrating resident perspectives and thematic insights into destination management, contributing to a more inclusive and community-based approach to tourism development.

Assessing social carrying capacity of tourists in protected natural areas

ABSTRACT Knowing the limits of the social carrying capacity of tourism is a fundamental component of sustainable destination management, especially in protected natural areas, which implies understanding the characteristics of demand and travel. The research presented in this paper was conducted in a natural destination, the Sierras de Cazorla, Segura y Las Villas National Park (Spain), identifying two segments of tourists by means of cluster analysis according to a set of sociodemographic and socioeconomic variables, as well as their willingness to pay to improve the sustainability of destinations. Subsequently, each cluster was related to the variables of the social carrying capacity of tourism, and multivariate logistic regression analysis was applied. The results indicate that there is a relationship between the clusters identified and their social carrying capacity, which would be very useful to policy makers, managers, and business owners in protected natural areas, in terms of designing of pro-sustainability strategies.

Place attachment mediates links between pro-environmental attitudes and behaviors among visitors to Mt. Bukhan National Park, South Korea.

Efforts to understand visitors' participation in pro-environmental behaviors (PEB) are important for protected area management. Previous research in nature-based recreation settings suggests environmental attitudes may affect PEB, and that these relationships might be mediated by different dimensions of place attachment (place identity and place dependence). We used structural equation modeling to test the mediating effect of hikers' place attachment in the relationship between environmental attitudes and PEBs that occur within (on-site) and outside a protected area (off-site): Mt. Bukhan National Park in South Korea. Results showed that cognitive (environmental knowledge) and affective (environmental sensitivity) components of environmental attitudes were significant predictors for place attachment. Place identity was linked to off-site PEB, while place dependence was a key antecedent for both off-site and on-site PEBs. Our findings could help researchers and practitioners better understand how place attachment forms and how it can impact outdoor recreationists' behavior, ultimately helping to promote PEBs and facilitate sustainable management goals.

An International Comparative Analysis of Approaches to Measure the Carbon Footprint of Tourism

Tourism contributes significantly to climate change. However, it has continuously been excluded from national emission frameworks globally. Climate action must play a leading role in national tourism plans by measuring, monitoring and reporting tourism emissions for sustainable destination management. The purpose of this study is to identify the most applicable approach to measure the carbon footprint of tourism internationally. This study conducted a comparative analysis of the international approaches and toolkits available to measure tourism emissions. Consequently, contributes new knowledge to tourism policymakers by outlining the advantages, limitations and barriers of utilizing each approach. The findings identified that the most favorable approaches cannot be used internationally due to tourism data limitations. Thus, barriers to establishing and maintaining a standardized measurement and system to accurately monitor the level of tourism decarbonization worldwide are created. Nevertheless, tourism policymakers can begin to minimize these barriers by collecting credible data to establish the Tourism Satellite Accounts. Climate change is a significant crisis facing humanity, and until now, this research has not been completed.

Book Review: Ethical and Responsible Tourism: Managing Sustainability in Local Tourism Destinations

Ethical and responsible tourism managing sustainability in local tourism destinations to explore new tourism destinations regarding situations related to responsible tourism and sustainability based on sustainability management in local destinations. The basic aim of studying this theme is to expolarize several diverse situations related to ethical and responsible tourism based on the concept of how we manage sustainability in local tourism destinations, both methodologies, and practices that can be used to maintain environmental sustainability in local communities that are still vulnerable while gaining benefits from ecological, cultural, cultural heritage and adventure tourism activities at an economic level. This has an impact on local tourism operational processes which demonstrate responsible and sustainable destination management as well as maximizing socio-economic benefits and minimizing negative impacts and maximizing benefits for the community, visitors, and cultural heritage. This review is a critique of Ethical and Responsible Tourism in Managing Sustainability in Local Tourism Destinations Second Edition by Marko Koščak and Tony O’Rourke. Koščak and O’Rourke explained that the sustainability of ethical and responsible tourism management is considered important which includes three main themes that can be measured and planned to utilize tourism destination management, starting from environmental and social aspects to creating ethical sustainable development, and the impact of business tourism. This review will evaluate ethical and responsible tourism management approaches on the sustainability of their impact on tourism development in local tourism destinations relating to the important balance between socio-economic objectives that provide benefits to local communities in the short to medium term.

Evaluation of economic feasibility of rooftop solar energy systems under multiple variables

<p>Rooftop harvesting of solar energy is a promising method to provide a great portion of household energy requirements in many parts of the world. However, the cost of solar energy systems sometimes makes the exploration of rooftop solar energy systems not attractive to property owners. This study evaluates the economic factors that could affect the decision on whether to consider the installation of solar energy systems using the estimated time that the cumulative solar savings would become positive. The economic implication of increasing the micro-generation capacity of individual households, and the impact of varied interest rates, and subsidies were also evaluated. Among the three factors that were presented, the result showed that increasing the amount of electricity that is allowed to be generated from individual rooftops will result in the highest economic attractiveness for end-users. This is also expected to move the world closer to the goal of sustainable management of non-renewable resources for present and future generations. Increasing the micro-generation capacity of electricity from photovoltaic (PV) rooftops by individual households without increasing the electricity distribution fees results in a reduction of the time to reach positive solar savings. In addition, increasing the micro-generation capacity of electricity from PV rooftops is expected to contribute to a reduction in the greenhouse gas (GHG) emissions from the electricity grid for the entire community. This study recommends the encouragement of policies that allow for the maximization of electricity generation potential from rooftops of residential and industrial buildings.</p>

Od globalne održivosti tipa "šuplje krofne" do upravljanja lokalnim turističkim destinacijama

Purpose - This paper explores the intersection of global sustainability frameworks and local tourism management applying the Doughnut Economy model. The study aims to understand how destinations can bridge the gap between multidimensional, multilevel sustainability objectives and local execution, ultimately promoting a paradigm shift towards sustainable tourism. Methodology - We review the sustainable destination management literature as well as the Doughnut Economy framework and evaluate how the Doughnut model allows for an examination of how destinations can simultaneously address local needs and broader, systemic impacts. Findings - The integration of the Doughnut Economy model can help to ensure that the benefits and costs of tourism are in balance. Tourism destinations need to adopt consistent sustainable practices that align with both local aspirations and global sustainability targets. Digitalization can enhance the measuring and modelling of impacts and aid in steering behaviour. Implications - Destination managers have a role in the broader sustainability of tourism, and they will be required to apply comprehensive approaches such as the Doughnut model supported by digital solutions to balance social and ecological demands at local and global levels.

Tourism SDGs action plan from a regulatory perspective

Sustainable tourism is one that fully considers current and future economic, social, and environmental impacts and meets the needs of visitors, industry, the environment, and local communities. Sustainable tourism is part of the Sustainable Development Goals (SDGs). Indonesia has adopted the SDGs. These SDGs and the sustainable tourism criteria set by the Global Sustainable Tourism Council (GSTC) are then translated into a sustainable tourism development program in Indonesia called Sustainable Tourism for Development (STDev). STDev has been stipulated in the Minister of Tourism Regulation (Permenpar) No. 14 of 2016 concerning Guidelines for Sustainable Tourism Destinations. The United Nations World Tourism Organization (UNWTO) has recognized these programs and criteria as amended by Permenparekraf 9/2021.1. Permenpar 9/2021 discusses sustainable destination management, abbreviated as 3P + 1M, namely people, planet, prosperity, added with management. As for the research method used to answer problems regarding government compliance in implementing regulations, research will be carried out using socio-legal methods which elaborate legal phenomena with applicable laws. Thus, it can be seen that Permenpar 9/2021 has provided guidelines in an effort to realize sustainable tourist destinations through criteria and indicators that are easy for local governments to realize.