Main Article Content
Abstract
Purpose of the study:Since 2015, International aviation sector has witnessed an exceptional transformation of Indian air transport with a growth rate of 15-20%. It is also predicted to maintain a similar trend for not less than 4-5 years. However, transporting 400-500 million people a year with the existing facilities and infrastructure will inversely affect the sector. Thus we require an efficient and well-equipped airport network throughout the country to cater the needs of the future demand. Benchmarks are said to be the vital part of every planning standards and processes.
Methodology:Study focuses on 109 airports of India (including upcoming airports in UDAN) and covers a critical evaluation of airport to airport connection as well as airport accessibility to and fro. This paper analyses all the benchmarking parameters, namely ‘indicators’, those influence connectivity and accessibility of these airports.
Main Findings:Using statistical tools, it evaluates the existing air network, makes a comparative investigation and models the entire network to frame individual and overall benchmarks. Based on these benchmarks, study recommends adopting few strategies for the next 5 years to address the increasing demand.
Implications: Study brings about a healthy competition among airports to resolve their shortcomings. It can boost up demand shift from other modes to air transport.
Applications of this study:The methodology may be followed to set Benchmarksof any networks based on the relevant parameters.
Novelty/Originality of this study:Airports in India are given different indices and ranks on the connectivity and accessibility parameters, so that their performance is analysed in the global network.
Keywords
Connectivity
Accessibility
Benchmarks
indicators
Index
Article Details
License
Authors retain the copyright without restrictions for their published content in this journal. IJSRTM is a SHERPA ROMEO Journal.
Publishing License
This is an open-access article distributed under the terms of 
How to Cite
Jose, A., & Ram, S. (2018). BENCHMARKING FOR ACCESSIBILITY AND CONNECTIVITY OF INDIAN AIRPORTS. International Journal of Students’ Research in Technology & Management, 6(1), 18–29. https://doi.org/10.18510/ijsrtm.2018.614
References
-
1. Air Transport Action Group, 2016. Aviation benefits beyond borders, Geneva: ATAG.
2. Airport Authority of India, 2017. Annexure IIIA, New Delhi: AAI.
3. International Air Transport Association, 2017. 20 Year Passenger Forecast. [Online]
Available at: http://www.iata.org/publications/store/Pages/20-year-passenger-forecast.aspx[Accessed 02 January 2017].
4. International Civil Aviation Organization, 2013. Enhancement of Air Transport Connectivity and Facilitation. Montréal, s.n.
5. Bamford & Robinson, 1978. Geography of transport, Plymouth: Macdonald & Evans.
6. Guimera, R., Sales-Pardo, M. & Amaral, L. A., 2007. Classes of complex networks deï¬nedby role-to-role connectivity proï¬les. Nature Physics, pp. 3(1):63-69.
7. Litman, T., 2017. Evaluating Accessibility for Transport Planning, Victoria: Victoria Transport Policy Institute.
8. Rodrigue, J.-P., Comtois, C. & Slack, B., 2016. The Geography of Transport Systems. 4th ed. New York: Routledge.
9. Hoel, L. A. & Shriner, H. W., 1998. Evaluating improvements in landsilde access for Airports, Virginia: Department of Transportation & The University of Virginia.
10. Burghouwt, G., 2007. Airline Network Development in Europe and its Implications for Airport Planning. Aldershot.
11. Burghouwt, G. & Redondi, R., 2009. Connectivity in air transport networks: models, measures and applications.
12. Wilson, R. J., 1996. Introduction to Graph Theory. 4 ed. Essex: s.n.
13. Malighetti, P., Paleari, S. & Redondi, R., 2008. Connectivity of the European airport network: “Self-help hubbing†and business implications. Journal of Air Transport Management, 2(15), pp. 53-65.https://doi.org/10.1016/j.jairtraman.2007.10.003
14. Asakura, Y. & Masuo, K., 1991. Road network reliability caused by daily fluctuation of traffic flow. Briton, s.n., p. pp. 73–84.
15. Lyman, K., 2007. Travel Time Reliability in Regional Transportation Planning.
16. Elefteriadou, L. & Cui, X., 2005. Review of Definitions of Travel Time Reliability, s.l.: s.n.
17. WSDOT, 2001. Travel Time Reliability, Texas: Department of Transportation.
18. Chen, M., 2010. Travel time based congestion measures, Kentuky: Department of Transportation.
19. Racca, D. P. & Brown, D. T., 2012. Study and Calculation of Travel Time Reliability Measures, Delaware: Delaware Department of Transportation.
20. Sekhar, R. C., E., M., B., K. & S., G., 2013. Analysis of travel time reliability of an urban corridor using micro simulation techniques, New Delhi: Current Science.
21. Ministry of Road and Highways, 2010. Highway Capacity Manual: Draft, New Delhi: MoRTH.
22. Department of Transportation, 2000. Highway Capacity manual, Washington D.C.: Transportation Research Board.
23. Rao, A. M. & Rao, R. K., 2014. Free Speed Modeling for Urban Arterials - A Case Study on Delhi. Transportation Engineering, 30 October, pp. 111-119.
24. Ministry of Civil Aviation, 2016. Ude Desh Ka Aam Naagrik : Civil Aviation Ministry’s Regional Connectivity Scheme “UDANâ€. [Online] Available at: http://pib.nic.in/newsite/PrintRelease.aspx?relid=151850 [Accessed 5 March 2017].
25. Barabasi, A.-L. & Albert, R., 1999. Emergence of Scaling in Random networks. Science, Volume 286, p. 509.https://doi.org/10.1126/science.286.5439.509
26. Bagler, G., 2008. Analysis of the Airport Network of India as a complex weighted network. Physica A, 387(12), pp. 2972-2980.https://doi.org/10.1016/j.physa.2008.01.077
27. Guimera, R., Mossa, S., Turtschi, A. & Amaral, L., 2005. The worldwide air transportation network: Anomalous centrality, community structure,and cities’ global roles. Proceedings of the National Academy of Sciences of the United States of America, 102(22), pp. 7794-7799. https://doi.org/10.1073/pnas.0407994102
28. Li, W. & Cai, X., 2004. Statistical analysis of airport network of China. Phys. Rev. E, 69(4), p. 046106.https://doi.org/10.1103/PhysRevE.69.046106
29. Paleari, S., Redondi, R. & Malighetti, P., 2010. A comparative study of airport connectivity in China, Europe and US: which network provides the best service to passengers?. Transportation Research Part E Logistics and Transportation Review.https://doi.org/10.1016/j.tre.2009.08.003
30. Elmuti, D. & Kathawala, Y., 1997. An overview of benchmarking process: a tool for continuous improvement and competitive advantage. In: Benchmarking for Quality Management & Technology. Bingley: Emerald Group Publishing, pp. 229-243.https://doi.org/10.1108/14635779710195087
31. Tan, Steinbach & Kumar, 2004. Cluster Analysis: Basic Concepts. Minnesota: DM Book.
References
1. Air Transport Action Group, 2016. Aviation benefits beyond borders, Geneva: ATAG.
2. Airport Authority of India, 2017. Annexure IIIA, New Delhi: AAI.
3. International Air Transport Association, 2017. 20 Year Passenger Forecast. [Online]
Available at: http://www.iata.org/publications/store/Pages/20-year-passenger-forecast.aspx[Accessed 02 January 2017].
4. International Civil Aviation Organization, 2013. Enhancement of Air Transport Connectivity and Facilitation. Montréal, s.n.
5. Bamford & Robinson, 1978. Geography of transport, Plymouth: Macdonald & Evans.
6. Guimera, R., Sales-Pardo, M. & Amaral, L. A., 2007. Classes of complex networks deï¬nedby role-to-role connectivity proï¬les. Nature Physics, pp. 3(1):63-69.
7. Litman, T., 2017. Evaluating Accessibility for Transport Planning, Victoria: Victoria Transport Policy Institute.
8. Rodrigue, J.-P., Comtois, C. & Slack, B., 2016. The Geography of Transport Systems. 4th ed. New York: Routledge.
9. Hoel, L. A. & Shriner, H. W., 1998. Evaluating improvements in landsilde access for Airports, Virginia: Department of Transportation & The University of Virginia.
10. Burghouwt, G., 2007. Airline Network Development in Europe and its Implications for Airport Planning. Aldershot.
11. Burghouwt, G. & Redondi, R., 2009. Connectivity in air transport networks: models, measures and applications.
12. Wilson, R. J., 1996. Introduction to Graph Theory. 4 ed. Essex: s.n.
13. Malighetti, P., Paleari, S. & Redondi, R., 2008. Connectivity of the European airport network: “Self-help hubbing†and business implications. Journal of Air Transport Management, 2(15), pp. 53-65.https://doi.org/10.1016/j.jairtraman.2007.10.003
14. Asakura, Y. & Masuo, K., 1991. Road network reliability caused by daily fluctuation of traffic flow. Briton, s.n., p. pp. 73–84.
15. Lyman, K., 2007. Travel Time Reliability in Regional Transportation Planning.
16. Elefteriadou, L. & Cui, X., 2005. Review of Definitions of Travel Time Reliability, s.l.: s.n.
17. WSDOT, 2001. Travel Time Reliability, Texas: Department of Transportation.
18. Chen, M., 2010. Travel time based congestion measures, Kentuky: Department of Transportation.
19. Racca, D. P. & Brown, D. T., 2012. Study and Calculation of Travel Time Reliability Measures, Delaware: Delaware Department of Transportation.
20. Sekhar, R. C., E., M., B., K. & S., G., 2013. Analysis of travel time reliability of an urban corridor using micro simulation techniques, New Delhi: Current Science.
21. Ministry of Road and Highways, 2010. Highway Capacity Manual: Draft, New Delhi: MoRTH.
22. Department of Transportation, 2000. Highway Capacity manual, Washington D.C.: Transportation Research Board.
23. Rao, A. M. & Rao, R. K., 2014. Free Speed Modeling for Urban Arterials - A Case Study on Delhi. Transportation Engineering, 30 October, pp. 111-119.
24. Ministry of Civil Aviation, 2016. Ude Desh Ka Aam Naagrik : Civil Aviation Ministry’s Regional Connectivity Scheme “UDANâ€. [Online] Available at: http://pib.nic.in/newsite/PrintRelease.aspx?relid=151850 [Accessed 5 March 2017].
25. Barabasi, A.-L. & Albert, R., 1999. Emergence of Scaling in Random networks. Science, Volume 286, p. 509.https://doi.org/10.1126/science.286.5439.509
26. Bagler, G., 2008. Analysis of the Airport Network of India as a complex weighted network. Physica A, 387(12), pp. 2972-2980.https://doi.org/10.1016/j.physa.2008.01.077
27. Guimera, R., Mossa, S., Turtschi, A. & Amaral, L., 2005. The worldwide air transportation network: Anomalous centrality, community structure,and cities’ global roles. Proceedings of the National Academy of Sciences of the United States of America, 102(22), pp. 7794-7799. https://doi.org/10.1073/pnas.0407994102
28. Li, W. & Cai, X., 2004. Statistical analysis of airport network of China. Phys. Rev. E, 69(4), p. 046106.https://doi.org/10.1103/PhysRevE.69.046106
29. Paleari, S., Redondi, R. & Malighetti, P., 2010. A comparative study of airport connectivity in China, Europe and US: which network provides the best service to passengers?. Transportation Research Part E Logistics and Transportation Review.https://doi.org/10.1016/j.tre.2009.08.003
30. Elmuti, D. & Kathawala, Y., 1997. An overview of benchmarking process: a tool for continuous improvement and competitive advantage. In: Benchmarking for Quality Management & Technology. Bingley: Emerald Group Publishing, pp. 229-243.https://doi.org/10.1108/14635779710195087
31. Tan, Steinbach & Kumar, 2004. Cluster Analysis: Basic Concepts. Minnesota: DM Book.
2. Airport Authority of India, 2017. Annexure IIIA, New Delhi: AAI.
3. International Air Transport Association, 2017. 20 Year Passenger Forecast. [Online]
Available at: http://www.iata.org/publications/store/Pages/20-year-passenger-forecast.aspx[Accessed 02 January 2017].
4. International Civil Aviation Organization, 2013. Enhancement of Air Transport Connectivity and Facilitation. Montréal, s.n.
5. Bamford & Robinson, 1978. Geography of transport, Plymouth: Macdonald & Evans.
6. Guimera, R., Sales-Pardo, M. & Amaral, L. A., 2007. Classes of complex networks deï¬nedby role-to-role connectivity proï¬les. Nature Physics, pp. 3(1):63-69.
7. Litman, T., 2017. Evaluating Accessibility for Transport Planning, Victoria: Victoria Transport Policy Institute.
8. Rodrigue, J.-P., Comtois, C. & Slack, B., 2016. The Geography of Transport Systems. 4th ed. New York: Routledge.
9. Hoel, L. A. & Shriner, H. W., 1998. Evaluating improvements in landsilde access for Airports, Virginia: Department of Transportation & The University of Virginia.
10. Burghouwt, G., 2007. Airline Network Development in Europe and its Implications for Airport Planning. Aldershot.
11. Burghouwt, G. & Redondi, R., 2009. Connectivity in air transport networks: models, measures and applications.
12. Wilson, R. J., 1996. Introduction to Graph Theory. 4 ed. Essex: s.n.
13. Malighetti, P., Paleari, S. & Redondi, R., 2008. Connectivity of the European airport network: “Self-help hubbing†and business implications. Journal of Air Transport Management, 2(15), pp. 53-65.https://doi.org/10.1016/j.jairtraman.2007.10.003
14. Asakura, Y. & Masuo, K., 1991. Road network reliability caused by daily fluctuation of traffic flow. Briton, s.n., p. pp. 73–84.
15. Lyman, K., 2007. Travel Time Reliability in Regional Transportation Planning.
16. Elefteriadou, L. & Cui, X., 2005. Review of Definitions of Travel Time Reliability, s.l.: s.n.
17. WSDOT, 2001. Travel Time Reliability, Texas: Department of Transportation.
18. Chen, M., 2010. Travel time based congestion measures, Kentuky: Department of Transportation.
19. Racca, D. P. & Brown, D. T., 2012. Study and Calculation of Travel Time Reliability Measures, Delaware: Delaware Department of Transportation.
20. Sekhar, R. C., E., M., B., K. & S., G., 2013. Analysis of travel time reliability of an urban corridor using micro simulation techniques, New Delhi: Current Science.
21. Ministry of Road and Highways, 2010. Highway Capacity Manual: Draft, New Delhi: MoRTH.
22. Department of Transportation, 2000. Highway Capacity manual, Washington D.C.: Transportation Research Board.
23. Rao, A. M. & Rao, R. K., 2014. Free Speed Modeling for Urban Arterials - A Case Study on Delhi. Transportation Engineering, 30 October, pp. 111-119.
24. Ministry of Civil Aviation, 2016. Ude Desh Ka Aam Naagrik : Civil Aviation Ministry’s Regional Connectivity Scheme “UDANâ€. [Online] Available at: http://pib.nic.in/newsite/PrintRelease.aspx?relid=151850 [Accessed 5 March 2017].
25. Barabasi, A.-L. & Albert, R., 1999. Emergence of Scaling in Random networks. Science, Volume 286, p. 509.https://doi.org/10.1126/science.286.5439.509
26. Bagler, G., 2008. Analysis of the Airport Network of India as a complex weighted network. Physica A, 387(12), pp. 2972-2980.https://doi.org/10.1016/j.physa.2008.01.077
27. Guimera, R., Mossa, S., Turtschi, A. & Amaral, L., 2005. The worldwide air transportation network: Anomalous centrality, community structure,and cities’ global roles. Proceedings of the National Academy of Sciences of the United States of America, 102(22), pp. 7794-7799. https://doi.org/10.1073/pnas.0407994102
28. Li, W. & Cai, X., 2004. Statistical analysis of airport network of China. Phys. Rev. E, 69(4), p. 046106.https://doi.org/10.1103/PhysRevE.69.046106
29. Paleari, S., Redondi, R. & Malighetti, P., 2010. A comparative study of airport connectivity in China, Europe and US: which network provides the best service to passengers?. Transportation Research Part E Logistics and Transportation Review.https://doi.org/10.1016/j.tre.2009.08.003
30. Elmuti, D. & Kathawala, Y., 1997. An overview of benchmarking process: a tool for continuous improvement and competitive advantage. In: Benchmarking for Quality Management & Technology. Bingley: Emerald Group Publishing, pp. 229-243.https://doi.org/10.1108/14635779710195087
31. Tan, Steinbach & Kumar, 2004. Cluster Analysis: Basic Concepts. Minnesota: DM Book.