Integration of AHP and GIS to derive Walkability Index for Women to Access Rail-Transit Station

Abstract

This study utilizes Geographic Information Systems (GIS) and the Analytical Hierarchy Process (AHP) to develop a walkability index for women accessing rail transit stations. By integrating spatial analysis and multi-criteria decision-making techniques, it addresses key factors such as accessibility, comfort, traffic safety, and attractiveness from a gender-specific perspective. The research aims to identify barriers women face in accessing public transportation and provide actionable insights for urban planning. Expert and public input were gathered to determine the weightage of criteria influencing walkability. Pairwise comparisons through AHP ensured consistent weighting, while GIS was employed to map and analyze walkability indices. The findings emphasize the need for inclusive urban planning that considers women's unique safety and mobility concerns, offering recommendations for tailored policy interventions. The study demonstrates the effectiveness of GIS and AHP in evaluating walkability, incorporating physical and social dimensions to reflect women’s needs in urban environments. Recommendations include integrating real-time data, engaging diverse groups through surveys and focus groups, and expanding the model to other demographic groups. The research highlights the role of enhanced walkability in promoting mobility, increasing public transit use, reducing congestion, and improving public health. Future studies should refine methodologies, incorporate dynamic data, and broaden assessments to ensure equitable and sustainable urban development. This approach underscores the importance of addressing gender-specific needs to create safer, more accessible, and inclusive cities.