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Building non-motorized accessible communities for heterogeneous demand: A facility location and network design
Stefano Starita1, Pinnaree Tea-Makorn1, Pavitra Jindahra1
1Data Analytics Center (DAC), Sasin School of Management, Chulalongkorn University, Bangkok, Thailand.
This study presents an optimization model to improve non-motorized accessibility by strategically locating new facilities and accessible road segments. The goal is to enhance access to essential services for diverse populations, including those with varying walking abilities.
Area of Science:
- Urban Planning
- Transportation Engineering
- Public Health
Background:
- Non-motorized accessibility is crucial for accessing essential services like education and healthcare.
- Current road networks and facility locations often neglect non-motorized users and diverse abilities.
- Infrastructure improvements require systematic approaches for efficient resource allocation.
Purpose of the Study:
- To develop an optimization model for identifying optimal locations for new facilities and accessible road segments.
- To maximize non-motorized accessibility to services, considering users with different walking abilities.
- To support strategic decision-making for enhancing urban non-motorized accessibility.
Main Methods:
- An optimization model was proposed to address network design and facility location challenges.
- A randomized greedy algorithm was developed to solve the complex problem.
- A case study in Bangkok's Huai Kwang district was used for illustration.
Main Results:
- The proposed model can identify optimal locations for facilities and road segments to improve non-motorized access.
- The methodology effectively considers the diverse needs of a heterogeneous population.
- The case study demonstrates the practical application of the model in strategic urban planning.
Conclusions:
- The optimization model provides a systematic approach to enhance non-motorized accessibility.
- Strategic placement of facilities and accessible paths can significantly improve service access.
- This research supports evidence-based planning for more inclusive urban environments.
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