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13 results on '"Sridhar M. B."'

1. Assessment of Urban Expansion and Identification of Sprawl Through Delineation of Urban Core Boundary

Author

Sridhar M. B. and Sathyanathan R.

Subjects
urban sprawl, urban core boundary, urban growth, landcover classification, Ecology, QH540-549.5
Abstract

Cities are spatially expanding rapidly, leading to urban sprawl. This study aims to understand the nature of the urban expansion of Chennai city, located on India’s southeastern coast, by determining the urban growth pattern and identifying the urban sprawl areas. The urban growth pattern and sprawl areas between 1998 and 2019 are identified using remote sensing data through the delineation of the Urban Core Boundary (UCB). The urban areas were extracted from the Land Use Land Cover (LULC) classification using combined classification technique to delineate the UCB. All the findings were validated using ground truth information. LULC classification performed with an accuracy of more than 90 % for urban land cover revealed an increase in urban cover by 71.77% from 1998 to 2009 and

Published
2022
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2. Application of Data Mining Techniques and Hedonic Pricing Methods to Determine the Real Estate Land Prices in the Chengalpattu District

Author

Mahima Christin, K., Sridhar, M. B., Divya, B., Sathyanathan, R., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Mannan, Md. Abdul, editor, Sathyanathan, R., editor, Umamaheswari, N., editor, and Chore, Hemant S., editor

Published
2024
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3. House Price Prediction in Southern Chennai Using Machine Learning Algorithms

Author

Prasanna Kumar, J., Sridhar, M. B., Sathyanathan, R., Divya, B., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Gencel, Osman, editor, Balasubramanian, M., editor, and Palanisamy, T., editor

Published
2024
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4. Modelling Residential House Pricing Using Regression Analysis

Author

Sridhar, M. B., Sathyanathan, R., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Loon, Lee Yee, editor, Subramaniyan, Muthulingam, editor, and Gunasekaran, K., editor

Published
2022
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5. Spatiotemporal Patterns of Urbanization in Chennai City, Tamil Nadu, India Using Remote Sensing Data

Author

Sridhar, M. B., Sathyanathan, R., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Loon, Lee Yee, editor, Subramaniyan, Muthulingam, editor, and Gunasekaran, K., editor

Published
2022
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6. Effect of Communication Patterns in Safety Performance of Construction Workers

Author

Geordy, Reshma, Sridhar, M. B., Sudhakumar, J., di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Dasgupta, Kaustubh, editor, Sudheesh, T. K., editor, Praseeda, K. I., editor, Unni Kartha, G., editor, Kavitha, P. E., editor, and Jawahar Saud, S., editor

Published
2021
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8. Estimation of Residential Land Price in the Suburban Region of India, A Comparison between Artificial Neural Network and Hedonic Price Model

Author

Sridhar, M. B. and Sathyanathan, R.

Subjects
Artificial neural network, Hedonic pricing model, Prediction performance evaluation, Sub urban residential land price
Abstract

The real estate land price valuation is a global issue, and its importance is not limited to the real estate market but also in the banking sector, insurance sector, and governing bodies for taxation and acquisitions. This paper compares the accuracy of the Hedonic Pricing Model (HPM) and Artificial Neural Network (ANN) model in predicting the residential land price for Chengalpattu district, a suburban region in the southern part of India. Residential land prices and data for the variables affecting land prices were collected and used to develop the HPM and ANN models. Subsequently, both models predicted land prices for newer land parcels, and their accuracy was compared. The performance evaluation indices of root mean square error (RMSE), mean absolute error (MAE), mean absolute percentage error (MAPE), R-square and accuracy were calculated for the predicted results of both the models. The HPM predicted the residential land prices with an accuracy of 75 %, whereas the ANN model predicted the prices with an accuracy of 91 %. The study showed that the ANN model is reliable and accurate in residential price prediction for suburban regions.

Published
2022

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