Date of Publication
2026
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Mathematics with Specialization in Computer Applications
Subject Categories
Transportation Engineering
College
College of Science
Department/Unit
Mathematics and Statistics Department
Thesis Advisor
Noel T. Fortun
Defense Panel Chair
Sonia Y. Tan
Defense Panel Member
Avegail D. Carpio
Abstract (English)
As electric vehicle (EV) adoption increases globally, the need for accessible and well-distributed charging infrastructure becomes increasingly important. In Metro Manila, the current charging network is concentrated in central business districts while many areas remain charging deserts. This uneven distribution highlights the need to incorporate accessibility considerations in comprehensive EV infrastructure planning. To address this challenge, this study proposes a two-criteria location optimization framework for EV charging station expansion in Metro Manila. The framework considers two planning objectives: improving efficiency by placing stations where charging demand is highest, and improving equity by ensuring broader spatial accessibility. These objectives are examined using two facility location models, the Maximal Covering Location Problem (MCLP) and the Set Covering Location Problem (SCLP). Geographic Information System (GIS) processing constructs spatial relationships between demand locations and candidate sites, while optimization models are used to determine new charging station locations that improve coverage relative to the existing network. The results show how different planning objectives lead to different expansion patterns, where efficiency-oriented strategies prioritize high-demand areas while equity-oriented strategies distribute stations more evenly to improve spatial accessibility.
Abstract Format
html
Abstract (Filipino)
Habang dumarami ang gumagamit ng mga electric vehicle (EV), lalong mahalaga na magkaroon ng mga charging station na madaling puntahan at nakakalat sa iba't ibang lugar. Sa Metro Manila, karamihan ng mga charging station ay makikita lamang sa mga pangunahing distrito ng negosyo, habang maraming lugar pa rin ang halos walang access dito. Ang hindi pantay na distribusyong ito ay nagpapakita ng pangangailangang isaalang-alang ang accessibility sa pagpaplano ng imprastraktura ng EV. Sa ganitong hamon, iminumungkahi ng pag-aaral na ito ang isang balangkas ng location optimization na may dalawang kriterya para sa pagpapalawak ng mga EV charging station sa Metro Manila: una, ang paglalagay ng mga istasyon sa mga lugar na may pinakamataas na pangangailangan (efficiency), at pangalawa, ang pagtitiyak na mas maraming lugar ang magkaroon ng access sa mga charging station (equity). Tinutugunan ang mga nasabing layunin gamit ang Maximal Covering Location Problem (MCLP) at ang Set Covering Location Problem (SCLP). Gamit ang Geographic Information System (GIS), matutukoy ang mga spatial relationship sa pagitan ng mga demand location at candidate site, samantalang ang mga optimization model naman ang gumagabay sa pagpili ng mga bagong lokasyon ng charging station na magpapabuti sa saklaw ng kasalukuyang network. Ipinapakita ng mga resulta ng pag-aaral na ito kung paano ang magkakaibang layunin sa pagpaplano ay nagdudulot ng magkakaibang pattern ng pagpapalawak. Inuuna ng mga estratehiyang nakatuon sa efficiency ang mga lugar na may mataas na demand, samantalang ang mga estratehiyang nakatuon sa equity ay sistematikong tinutukoy ang mga istasyong magbibigay ng mas malawak na spatial accessibility.
Abstract Format
html
Language
English
Format
Electronic
Keywords
Battery charging stations (Electric vehicles)--Philippines--Metro Manila
Recommended Citation
Tulagan, L. C., & Wang, X. (2026). A two-criteria location optimization framework for electric vehicle charging station expansion using GIS-based spatial analysis: Application to Metro Manila. Retrieved from https://animorepository.dlsu.edu.ph/etdb_math/64
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Embargo Period
4-17-2028
