This study identifies the role of religiosity in the willingness to pay for halal transportation among Muslim consumers in Malaysia by applying the ABC theory. Applying a purposive sampling method, data were gathered from questionnaires distributed to Muslim consumers at malls in Kuala Lumpur and Putrajaya. From 250 Muslims who were approached, 200 respondents agreed to answer the questionnaire. SMART-PLS 3.3.2. was used to analyse the data for this study using a Structural Equation Modelling (SEM) approach. Out of six direct hypotheses tested, five hypotheses were found supported. From four hypotheses on mediation, only one was found as unsupported. Religiosity was found to have a moderation effect between knowledge and the WTP for halal transportation. The findings provide useful information on the WTP for halal transportation. Related parties such as governments, halal transport service providers and customers can use these findings to plan further actions in order to enhance the WTP for halal transportation. The study reveals the capability of the ABC theory to identify the factors of the WTP for halal transportation among Muslim consumers in Malaysia. The findings also show the moderation effects of religiosity on the WTP for halal transportation. The study also incorporates awareness as a mediator and as a sequential mediator within the model. The findings also enrich the literature on the WTP in halal studies.

Social media and artificial intelligence (AI) are increasingly playing an important role in the process of designing city parks by influencing people's willingness to pay. This research aims to explore how social media and AI can increase willingness to pay and its impact on the quality of urban park design in Palangkaraya City, Central Kalimantan. Method: This research uses a mixed approach with a combination of quantitative surveys and qualitative interviews. The survey was conducted on 200 respondents from Palangkaraya residents to measure the influ-ence of social media and AI on their willingness to pay. Social media data analysis was con-ducted using AI tools to identify popular garden design preferences. Data was collected from social media platforms as well as in-depth interviews with stakeholders. The research results show that there is a significant positive correlation between social media involvement and peo-ple's willingness to pay. AI data from social media analysis reveals the most popular garden de-sign elements, which then influences design decisions. The quality of park designs that inte-grate feedback from social media and AI recommendations receive higher ratings from the pub-lic. These findings indicate that social media and AI can significantly increase willingness to pay and the quality of urban park design. Active engagement of the public through social me-dia helps formulate designs that better suit their needs, while AI ensures designs that are more innovative and responsive to public preferences. This research emphasizes the importance of using digital tools to improve community engagement and urban planning outcomes.