
3D GeoInfo & SDSC 2025
20th 3D GeoInfo Conference | 9th Smart Data and Smart Cities Conference
02 - 05 September 2025 | Kashiwa Campus, University of Tokyo, Japan
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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Session 12-b: SDSC - Transportation Location: Media Hall / Kashiwa Library Session Chair: Takahiro Yoshida | |
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Spatial Analysis of EV Charging Demand for Intercity Bus Transport in Thailand 1: Integrated Science Program, Multidisciplinary and Interdisciplinary School, Chiang Mai University, Thailand; 2: Department of Electrical Engineering, Faculty of Engineering, Chiang Mai University, Thailand; 3: Department of Civil Engineering, Faculty of Engineering, Chiang Mai University, Thailand; 4: Department of Mechanical Engineering, Faculty of Engineering, Chiang Mai University, Thailand Thailand is a significant emitter of greenhouse gases (GHGs), with total emissions reaching approximately 385,941.14 ktCO2eq in 2022. Of this, 77,021.31 ktCO2eq, or 30.29% of emissions from the energy sector, originated from the transportation sector. The Thai government has prioritized mitigation efforts by promoting Battery Electric Vehicles (BEVs), particularly the transition to Battery Electric Buses (BEBs) in public transportation. While electrification initiatives are underway, the lack of a spatially guided approach to infrastructure placement along intercity bus corridors remains a critical gap. This study aims to estimate the spatial charging demand of Thailand's intercity bus network and identify potential infrastructure locations to support the adoption of Battery Electric Buses (BEBs). Potential charging points were determined based on the typical operational range of BEBs and interpolated along intercity bus routes. These points were then used to evaluate candidate infrastructure locations through a Charging Demand Score (CDS), an indicator that quantifies the relative demand for charging infrastructure at the grid-cell level across the study area. The results highlight several provinces with notably high charging demand, particularly along major intercity corridors in the North, Northeast, and South. These findings provide a valuable foundation for designing data-driven policies to support the electrification of Thailand's public transportation system. | |