Improving non-motorized accessibility is essential to enable access to vital services such as education and healthcare. Road networks are often inadequately designed for non-motorized accessibility, and service facilities are not always strategically located to reach the majority of users. Furthermore, design decisions rarely consider the diverse needs and walking abilities of a heterogeneous population. Enhancing infrastructure by locating new service facilities and creating accessible paths involves significant investment, requiring a systematic approach to efficiently utilize limited resources. In a recent study published in PLOS ONE, Sasin’s Professors Dr. Stefano Starita, Dr. Pinnaree Tea-Makorn, and Dr. Pavitra Jindahra propose an optimization model to strategically locate new facilities and road segments, maximizing accessibility across varied user abilities. Using a randomized greedy algorithm, they apply this model to Bangkok’s Huai Kwang district, illustrating how it can guide effective infrastructure investments. To read the full research article on PLOS ONE, CLICK HERE.