A Support System for Street Food Vending: Utilizing Urban Geoinformatics to Facilitate the Relocation of Food Stalls in Bangkok

The study aimed to create a support system for street food sales in response to urban relocation patterns, focusing on the geospatial context of restaurants in Bangkok. Data science technology was utilized to develop a navigation map powered by an algorithm designed to help users find street food restaurants. The system operates within a 5-kilometer radius of the selected restaurant for table reservations. It requires access to the user's current location, integrating geospatial data such as maps and distance calculations. This information estimates the time needed to reach the restaurant, facilitating timely table reservations and minimizing wait times, thereby enhancing the convenience of advance bookings. The system was developed and tested on devices with the application installed to assess the efficiency of table reservations. The front end was built using the PHP framework Laravel 7, while the back end was developed with Flutter, with communication between the two achieved through a RESTful API. Performance and user satisfaction were evaluated by 23 experts and operators, yielding an average efficiency score of 4.15. Furthermore, feedback from 399 general users indicated a high level of satisfaction, with an average score of 4.21, confirming the system’s practical usability.