Ambulance Location for Service Coverage in an Urban-rural Area in Chiang Rai using Machine Learning
Ambulance response time is a critical factor in saving lives and is heavily influenced by ambulance placement strategies. Currently, Nang Lae Subdistrict is served by only one ambulance, yet the managing agency does not systematically analyze high-frequency accident zones or areas with frequent emergency calls. This oversight raises concerns about whether the current ambulance station provides optimal coverage. To address this, call data from all ambulance dispatches over four months (July–November 2023) were analyzed. The findings revealed 96 cases within a 5-kilometer radius of Nang Lae Subdistrict Municipality and 18 cases within a 10-kilometer radius. Cluster analysis was conducted to determine optimal ambulance placement, identifying two potential locations approximately 1.55 km apart. These results can inform strategic improvements in ambulance deployment, particularly during high-demand periods such as festivals, where accident rates surge and faster response times are crucial. Additionally, the study observed instances of ambulances servicing areas beyond their designated zones, suggesting a need for better resource allocation.
Authors
- Tosporn Arreeras (ORCID: https://orcid.org/0000-0002-7945-8270)
- Sunida Tiwong
- Krit Sittivangkul
- Samatthachai Yamsa-ard (ORCID: https://orcid.org/0009-0004-8828-979X)
Institutions
- Mae Fah Luang University (TH)
Publication Details
- Journal
- Journal of Mobile Multimedia
- Published
- 2025-10-03
- DOI
- https://doi.org/10.13052/jmm1550-4646.2152
- Primary Topic
- Facility Location and Emergency Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00