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Spatial accessibility analysis of schools using geospatial techniques

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Abstract

The main objective of the present study is to enhance the accessibility facilities for local public to educational centers in Tiruchirappalli City. For this approach, the existing K-12 schools, Census tracts and road network were spatially plotted using the techniques of geospatial system. Spatial accessibility index is computed using Three-step floating catchment area (3SFCA) method. The findings indicate (39%) of catchment area has been shortage of education facilities. The index of 3SFCA and its spatial pattern has been compared, validated using enhanced two-step floating catchment area (E2SFCA) method. The incorporated Gaussian weight of 3SFCA clearly reduces the high estimate of demand problem of the study area. Through 3SFCA and E2SFCA, the number of wards observed to be shortage is 14 and 26 respectively. Overall, the analysis concludes that 3SFCA is an effective method in spatial planning of educational facilities. In future, this study enables the urban planners and decision makers to maximize spatial accessibility by establishing a new facility and improve the existing facilities in shortage region.

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Acknowledgements

The authors wish to thank everyone who contributed to this research work. They gratefully acknowledge the National Remote Sensing Centre (NRSC) of India for readily providing the QuickBird Satellite data. The authors are also very thankful to the Centre of Excellence in Transportation Engineering (CETransE), Department of Civil Engineering, National Institute of Technology Tiruchirappalli (MHRD, GoI) for providing the necessary facilities and the platform for enabling the successful completion of this research work. The authors would also like to express their sincere gratitude to the Tiruchirappalli City Municipal Corporation and Tiruchirappalli Local Planning Authority for providing the population data essential for this investigative research work. The authors wish to place on record the important contribution of the [general/local] public who willingly participated in the questionnaire survey used for data collection.

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  1. Department of Civil Engineering, National Institute of Technology, Tiruchirappalli, 620015, India

    R. Shanmathi Rekha, Nisha Radhakrishnan & Samson Mathew

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  1. R. Shanmathi Rekha
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Rekha, R.S., Radhakrishnan, N. & Mathew, S. Spatial accessibility analysis of schools using geospatial techniques. Spat. Inf. Res. 28, 699–708 (2020). https://doi.org/10.1007/s41324-020-00326-w

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