000			02280nam a2200133 4500
008			250821b |||||||| |||| 00| 0 eng d
100			_aV. Arun
245			_aPrediction of Pavement Maintenance Cost for Rural Roads at Network Level
300			_ap489–509
520			_aPredicting pavement maintenance cost is an important factor for planning the budgetary requirements of any road agency at the network level. Pavement condition prediction models play a vital role in predicting pavement maintenance costs. Road agencies in developing countries like India still need pavement condition prediction models. The present study proposes an approach to help road agencies predict pavement conditions and annual maintenance costs. The proposed method was developed on rural roads of Shimoga district, Karnataka, India. The pavement condition data were collected using the Online Management Monitoring and Accounting System (OMMAS) database and by field visual inspection survey. A homogeneous Markov model was developed to predict the future pavement condition and estimate the rural road network's annual pavement maintenance cost. The study results indicated that 59% of the road network would come to a reconstruction state at a 10-year duty cycle if no maintenance is provided. Consequently, the annual maintenance cost predicted for 2031 was Indian Rupee (INR) 751.6 million, with an increase of 17% on average with each duty cycle. The model was validated along with the sensitivity analysis. The sensitivity analysis indicated improved pavement performance reduces maintenance costs and vice versa. The validation of the model was reliable, with a Pearson’s correlation R value of 0.92 and R square value of 0.86 at 95% confidence level. Hence, with this proposed approach, road agencies can predict the annual pavement maintenance cost so that they can plan their budget accordingly for an effective maintenance strategy at a network level.
654			_aPredictive markers _aRural Geography _aTransport Research _aTransportation Economics _aCivil Engineering _aTransportation Technology and Traffic Engineering
773	0		_080299 _9113445 _dGermany Springer Nature India Private limited _tJournal of the Institution of engineers (India): series A _x2250-2149
942			_cJA
999			_c132516 _d132516