Post-Smart Tourism Destinations (PSTD) need a sense-of-place approach based on uniqueness and thematic differentiation to deliver authentic and valuable experiences. Information and communication technology (ICT), digital technology adoption, sustainable development, community empowerment and local wisdom, and destination uniqueness are keywords that will be further explored in the development of tourism villages in Kenderan as the most important tourism destination development at the village level. The development of smart tourism, proof of the disruption of digital technology in the tourism sector, has become the objective of almost every tourism destination in the world today, be it an urban or rural area. Since its initial emergence, the smart concept in tourism development has evolved. In the beginning, it focused on ICT and the adoption of digital technology. Along with the pressure of the global requirement to apply sustainable development, the focus of smart tourism later included sustainability in the application of smart technology, which made smart tourism development (STD) become smart and sustainable tourism development (SSTD). The post-smart tourism concept arose because many critics suggested that destinations tend to place too much focus on technology adoption and lack attention to local wisdom, inclusivity, and local indigenous aspects of destination development. Applied research implemented mixed methods in the form of qualitative research through expert judgment and quantitative research through structural equation modeling analysis. The results of this research show that creative events for the local aspects of a tourist village, digital competence, and sustainability practice are the building blocks for a post-smart tourism village, while digital competence and sustainable practice have a significant mediating effect of locality on post-smart tourism villages. To ensure a tourism village possesses sustainable competitive advantages, the village must explore and promote its locality aspects to differentiate itself as a tourist village by identifying its valuable, rare, inimitable, and non-substitutable tourism resources. The implication of this research is that to develop wise and distinctive smart tourism destinations, tourist villages should explore their local values and resources, embed them into their basic components and core resources of tourism, and co-create, distribute, deliver, and promote them to the global market through technology adoption and global sustainability value.

Smart destinations require a management system that provides convenient real-time use of digital technology in creating, communicating, and delivering value to visitors. Research related to smart island destinations is still limited, let alone those that utilize blockchain technology to create the smartness of the destination. This research is an empirical study that captures the perceptions of stakeholders in the blue economy on smart islands and the use of blockchain technology in order to build smart islands, a destination that consists of many islands that lack connectedness, such as the Seribu Islands in Jakarta, Indonesia. Data were collected using qualitative and quantitative approaches (mixed methods). Qualitative data were collected from scientific journal publications and followed up with VOS viewer analysis, and quantitative data with the questionnaire survey responses from 150 blue economy industry players in the Seribu Islands and structural equation modeling showed that good digital literacy and blue economy management have significant influence on blockchain technology and impact smart islands. This study indicates that, for islands that have challenges in accessibility and connectivity, the presence of blockchain and smart technology is needed to integrate various resources from each stakeholder so that the blue economy in the islands can be developed more effectively and efficiently, while at the same time ensuring the achievement of sustainability.

Jàmbá: Journal of Disaster Risk Studies aims to engage, inform, and catalyse scholarly discourse within research and real-world practices that work towards the minimisation of vulnerabilities and disaster risks throughout developing communities with special emphasis on Africa.

Green transportation is a concept developed by utilizing vehicles that are environmentally friendly, low in emissions and do not produce pollution that has a negative impact on the environment. This study aims to analyze scientific publications by utilizing green transportation as the main construct that has relevance to sustainable transportation to be directed into novelty and followed up in future developments. Meta analysis was developed by optimizing the use of scientific literature on the concept of green transportation. The analysis was developed through a qualitative approach and literature review using VOSviewer. This study describes 4920 journals published from 2018 to 2022 as data sources from database search results found on Google Scholar which were developed through the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) stages. Results state that the trend of scientific publications on the studied construct has increased in line with the need for the sustainability of the transportation system. In addition, novelty of construct is obtained as a derivative of green transportation including green supply chain, green warehousing, green distribution, green logistics, green manufacturing, green production, green packaging, green infrastructure, green economy, green marketing, green initiative, clean energy, emission reduction, new energy vehicles and green cities. The novelty of constructs found needs to be followed up in further studies along with the development of knowledge and technology which is encouraged to support sustainable development.

Ensuring a stable and sustainable supply of energy has emerged as a critical global concern in the face of increasing energy demand, environmental degradation and geopolitical uncertainty. As all countries rely heavily on energy to drive economic growth and technological progress, ensuring a stable and accessible supply of energy has become a paramount imperative. This study aims to explore the multifaceted concept of energy security and its derivative topics for follow-up development in the future. The research approach combines bibliometric analysis and the analytical hierarchy process which was developed to analyze the derivatives of the concept of energy security. Data sourced from scientific literature collected from journal publications published from 2018-2022. The results of the study found three priority topics that have the potential to have novelty in the development of energy security in the future, including clean energy, energy harvesting and energy equity. This priority topic underscores the importance of a transition towards sustainable energy system that not only guarantees a reliable supply of energy but also promotes environmental stewardship and people's well-being.

Traffic performance is quantitative measurement that describes condition on a road. Congestion is caused high levels of activity, such as parking on the road and public transportation that drops off and picks up passengers, pedestrians walk on the road because there are no pedestrian facilities available, so that side obstacles become high. This research aims to improve traffic performance in Cibarusah Market Area. Traffic performance calculations based on PKJI 2023 and road network performance using PTV Vissim Modelling. Congestion that occurs can be seen from road performance indicators, namely VC Ratio 0,75, Speed 21.56 km/h with LOS F, and density 73.7 PCU/km. Meanwhile, intersection performance is assessed from 3 indicators, namely DS 0.82, queue opportunities 27 – 54%, and delay 25.09 sec/PCU with LOS D. The analytical methods used in this research are road performance analysis, intersection analysis, road network analysis, parking analysis, and pedestrian analysis. The results of the road performance increase with LOS E. Furthermore, intersection performance also increases with LOS C. Road network performance also improves, based on delay average from 25.27 to 11.02 seconds, speed average from 26.21 to 39.67 km/h, distance total from 22.997.28 to 23.401.59 km, and travel time total from 877.28 to 589.96 hours.