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Addy, M, Adinyira, E, James Cofie, D and Dadzoe, F (2021) Impediments to the development of the green building market in sub-Saharan Africa: the case of Ghana. Smart and Sustainable Built Environment, 10(2), 193-207.

Aradhana Vikas, G (2021) Studying green consumer behavior through multiple lenses in a developing country. Smart and Sustainable Built Environment, 10(2), 274-92.

Chang, V, Xu, Y K, Zhang, J and Xu, Q (2021) Research on intelligent manufacturing development approach for China's local valve industry. Smart and Sustainable Built Environment, 10(2), 293-321.

Ghaffour, W, Ouissi, M N and Marc André Velay, D (2021) Analysis of urban thermal environments based on the perception and simulation of the microclimate in the historic city of Tlemcen. Smart and Sustainable Built Environment, 10(2), 141-68.

Ghansah, F A, De-Graft, O-M and Ayarkwa, J (2021) Project management processes in the adoption of smart building technologies: a systematic review of constraints. Smart and Sustainable Built Environment, 10(2), 208-26.

Majid Parchami, J, Tayebe Yavari, R, Noorzai, E and Alizadeh, M (2021) A BIM-based construction claim management model for early identification and visualization of claims. Smart and Sustainable Built Environment, 10(2), 227-57.

Sayah, Z, Kazar, O, Lejdel, B, Laouid, A and Ghenabzia, A (2021) An intelligent system for energy management in smart cities based on big data and ontology. Smart and Sustainable Built Environment, 10(2), 169-92.

Yenisetty, P T and Bahadure, P (2021) Spatial accessibility measures to educational facilities from public transit: a case of Indian cities. Smart and Sustainable Built Environment, 10(2), 258-73.

  • Type: Journal Article
  • Keywords: accessibility; public transportation; land settlement; cities; mobile computing; urban development; infrastructure; land use planning; remote sensing; India
  • ISBN/ISSN:
  • URL: http://dx.doi.org/10.1108/SASBE-11-2019-0153
  • Abstract:
    The purpose of this paper is to investigate accessibility using spatial assessment techniques, wherein it identifies how educational facilities are connected to public transit (PT) in Indian cities. A new accessibility index is formulated for various ranges of distances which is suitable for Indian cities. This study developed a new method by comparing Euclidean (near) and network distances, uses Google API and other mobile applications for mapping of PT and educational facilities. The study uses built land cover of the city retrieved from Landsat 8 data with a spatial resolution of 30 m. The study attempts to compare the reach to educational facilities from PT in five different cities of India using descriptive statistics, regression analysis, connectivity and detour indices. The results help in identifying local barriers and network issues that influence accessibility from public transit to educational facilities. The study is conducted entirely using spatial techniques, and the data used are collected from various government organizations. The results are useful for improving overall accessibility and developing a framework which can be included in urban development policies.