A state-wise performance appraisal of the Indian roads using PROMETHEE-GIS approach

Purpose A road network provides arterial arrangement to facilitate business, transport, social integration and economic progress of any nation. During the last seven decades after independence, road transport infrastructure in India has expanded manifold, both in terms of spread (total length and density of road) and capacity (number of on-road registered vehicles, and volume of passenger and freight traffic handled). But, with the enrichment of road transport network in India, the number of traffic accidents and total cost for maintaining the road infrastructure also keeps on increasing. It becomes necessary to evaluate state-wise performance of the Indian roads using some mathematical tools. The paper aims to discuss this issue. Design/methodology/approach In this paper, using preference ranking organization method for enrichment of evaluations (PROMETHEE) and geometrical analysis for interactive aid (GAIA) approaches, an attempt is made to appraise the state-wise performance of Indian roads based on 12 critically important criteria. A geographic information system method and a hue-saturation-value color coding scheme are also employed to identify the influence of individual criterion on the overall rank of 29 Indian states. Findings It is observed that amongst all the considered states, the road conditions in the states of Mizoram and Arunachal Pradesh are really satisfactory, whereas Bihar and Uttar Pradesh are the lagging states requiring governmental intervention and support to enhance their road network infrastructure. Practical implications This analysis would help the decision makers to identify the strengths and deficiencies of each Indian state with respect to its road conditions so that proper promotional and growth actions can be implemented. Originality/value From the review of the existing literature, it is quite evident that till date, no research work has been conducted in order to evaluate the performance of roads, and their conditions and characteristic features in the Indian context. In this paper, the state-wise performance of the Indian roads is appraised based on several identified parameters using a combined PROMETHEE-GAIA approach.

[1]  Mohamad Hamzeh,et al.  Determining the most suitable areas for artificial groundwater recharge via an integrated PROMETHEE II-AHP method in GIS environment (case study: Garabaygan Basin, Iran) , 2012, Environmental Monitoring and Assessment.

[2]  Satander Kumar,et al.  Structural Evaluation of Cement Concrete Roads in Mumbai City , 2006 .

[3]  Bertrand Mareschal,et al.  The PROMCALC & GAIA decision support system for multicriteria decision aid , 1994, Decis. Support Syst..

[4]  Amarendra Kumar Sandra,et al.  Prioritization of Pavement Stretches Using Fuzzy MCDM Approach – A Case Study , 2007 .

[5]  Reza Baradaran Kazemzadeh,et al.  PROMETHEE: A comprehensive literature review on methodologies and applications , 2010, Eur. J. Oper. Res..

[6]  Yves De Smet,et al.  An adaptation of the GAIA visualization method for cartography , 2011, 2011 IEEE Symposium on Computational Intelligence in Multicriteria Decision-Making (MDCM).

[7]  Ebin Nirmal Joseph.  EVALUATION OF CAPACITY AND LEVEL OF SERVICE OF URBAN ROADS , 2014 .

[8]  Aleksandar Rikalovic,et al.  GIS Based Multi-Criteria Analysis for Industrial Site Selection , 2014 .

[9]  Ratnesh R. Saxena,et al.  Measuring efficiencies in Indian public road transit: a data envelopment analysis approach , 2010 .

[10]  A. Sharma,et al.  Critical evaluation of road infrastructure in India: a cross‐country view , 2009 .

[11]  Manisha Ruikar,et al.  National statistics of road traffic accidents in India , 2013 .

[12]  Sanmarga Mitra.  A Methodology for Evaluation of a City–Level Road Network for Passenger Transportation: Case Study Kolkata , 2014 .

[13]  G Gururaj,et al.  Road traffic deaths, injuries and disabilities in India: current scenario. , 2008, The National medical journal of India.

[14]  Satish Chandra,et al.  Operational Performance Measures for Two-lane Roads: An Assessment of Methodological Alternatives☆ , 2013 .

[15]  An assessment of air pollution impact for an Indian highway project , 2008 .

[16]  Yves De Smet,et al.  GAIA Map: A Tool for Visual Ranking Analysis in Spatial Multicriteria Problems , 2009, 2009 13th International Conference Information Visualisation.

[17]  Shahrina Md Nordin,et al.  Integrated Advertisement Message Strategy: A Tactical Implementation of IMC in Advertisement Discourse , 2011 .

[18]  Juan Miguel Sánchez-Lozano,et al.  Geographical Information Systems (GIS) and Multi-Criteria Decision Making (MCDM) methods for the evaluation of solar farms locations: Case study in south-eastern Spain , 2013 .

[19]  Majid Shadman Roodposhti,et al.  PROMETHEE II and fuzzy AHP: an enhanced GIS-based landslide susceptibility mapping , 2014, Natural Hazards.

[20]  Ahmed Mohamed Semeida.  New models to evaluate the level of service and capacity for rural multi-lane highways in Egypt , 2013 .

[21]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

[22]  Jean Pierre Brans,et al.  HOW TO SELECT AND HOW TO RANK PROJECTS: THE PROMETHEE METHOD , 1986 .

[24]  Y. De Smet,et al.  Visual PROMETHEE: Developments of the PROMETHEE & GAIA multicriteria decision aid methods , 2009, 2009 IEEE International Conference on Industrial Engineering and Engineering Management.

[25]  Pawan Deshpande.  Road safety and accident prevention in India: a review , 2014 .

[26]  Prasenjit Chatterjee,et al.  Performance evaluation of Indian states in tourism using an integrated PROMETHEE-GAIA approach , 2016 .