A Model for Assessing the Level of Walkability in Urban Neighborhoods in Sri Lanka


  • Gayani Ranasinghe University of Moratuwa, Katubadda
  • Susantha Amarawickrama University of Moratuwa, Katubadda
  • Rangajeewa Rathnayake University of Moratuwa, Katubadda
  • Thilini Randeniya University of Moratuwa, Katubadda
  • Senani Rathnasiri University of Moratuwa, Katubadda




The quality of the neighboring environment plays a major role in encouraging people to walk when attending their daily needs. Although past studies have identified a relationship between neighborhood design factors and the level of walkability, this interdependence is poorly understood in urban planning in Sri Lanka. The purpose of this study is to determine factors and conditions that influence walkability in a selected neighborhood in the town of Panadura and develop a model to predict what design factors enhance walkability in the neighborhood area. Ninety three (93) factors that affect the walkability in urban neighborhood were identified as the findings of the literature review of this study. Seventy six (76) walkability factors identified through perception surveys were examined within a 100m radius of 70 buffered circles representing 140 participants’ residences through a questionnaire survey and field observations. Chi-square and Bivariate correlation analysis were carried out to identify the most decisive factors for walkability. Multiple Linear Regression analysis was applied to develop a model to assess the level of walkability of residents in the selected area based on the most significant factors. The study has identified main nine variables that determine the level of walkability. Based on the significant values the model can be used to assess the level of walkability of the people in Sri Lankan context.


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How to Cite

Ranasinghe, G., Amarawickrama, S., Rathnayake, R., Randeniya, T., & Rathnasiri, S. (2015). A Model for Assessing the Level of Walkability in Urban Neighborhoods in Sri Lanka. International Journal of Built Environment and Sustainability, 2(4). https://doi.org/10.11113/ijbes.v2.n4.97