GIS-Based Assessment of Best Route in Complex Traffic Environment: A Case of Kolkata Municipal Corporation

https://doi.org/10.22146/ijg.85478

Sajal Ghosh(1), Bulti Das(2), Eshita Boral(3*)

(1) Department of Geography and Disaster Management, Tripura University
(2) Department of Geography and Disaster Management, Tripura University
(3) Department of Geography and Disaster Management, Tripura University
(*) Corresponding Author

Abstract


In an emergency like an urban fire, road accident, or critical condition of patients, the shortest possible route to reach the destination is one of the most sought-after issues in transportation studies. However, the physical distance of the shortest route becomes longer distance than the travel time distance due to traffic congestion in metropolitan cities like that of Kolkata. So, the selection of an alternative route is essential to organize the journey logically. A well-structured road network provides multiple options to road users for selection of the best route from the shortest and alternative route according to their demand. So, the present study aims to identify the structural characteristics of road networks by graph theory and the selection of the best route using the GIS technique. It has been found that the road network of Kolkata is characterized by complex structure and grid configuration of the network. Selection of the best route also ranges from the shortest route to alternative route due to spatial variation of traffic speed on different roads in peak hours. The current study identifies the optimal route in terms of travel time to reach the required destinations during peak hour duration in the city of Kolkata.


Keywords


Structural analysis; Transportation networks; Congestion; Travel time; Best route

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References

Ahmed, S., Ibrahim, R. F., & Hefny, H. A. (2017). GIS-based network analysis for the roads network of the Greater Cairo area. CEUR Workshop Proceedings, 2144(July).

Al-Dami, H. A. N. (2015). Measuring the accessibility of road networks: Diwaniya/Iraq as case study. Journal of Current Research and Academic Review, 3(2), 173–182.

Arti, C., Sharad, G., Pradeep, K., Chinmay, P., & Kumar, S. S. (2022). Urban traffic congestion: Its causes-consequences-mitigation. Res J Chem Environ, 26(12), 164–176.

Arif, M., & Gupta, K. (2020). Application of graph-based model for the quantification of transport network in peri-urban interface of Burdwan City, India. Spatial Information Research, 28. 447-457. Doi:10.1007/ s41324-019-00305-w.

Babu, A. M. (2017). Study of urban cities traffic problems due to delay and overcrowding. International Journal of Latest Engineering and Management Research, 2(11), 1–8.

Bhatta, B. (2011). Remote sensing and GIS. Oxford University Press.

Biswas, S., Singh, B., & Saha, A. (2016). Assessment of level-of-service on urban arterials: a case study in Kolkata metropolis. Int. J. Traffic Transp. Eng, 6(3), 303–312.

Bora, T., & Baruah, A. K. (2019). Road network connectivity and spatial pattern of Dispur city. www.jetir.org

Chakrabartty, A., & Gupta, S. (2014). Traffic Congestion in the Metropolitan City of Kolkata. Journal of Infrastructure Development, 6(1), 43–59. https://doi.org/10.1177/0974930614543046

Chakrabartty, A., & Gupta, S. (2015). Estimation of Congestion Cost in the City of Kolkata—A Case Study. Current Urban Studies, 03(02), 95–104. https://doi.org/10.4236/cus.2015.32009

Chowdhury, I. R. (2015). Traffic Congestion and Environmental Quality : A Case Study of Kolkata City. International Journal of Humanities and Social Science Invention, 4(7), 20–28.

Chen, M., Wu, F., Yin, M., & Xu, J. (2021). Impact of road network topology on public transportation development. Wireless Communications and Mobile Computing, 2021, 1-11.

Chu, X. N., & Thi, H. D. (2017). Actual situation and solutions for reducing the traffic jams and congestion in Vietnam. Advances in Natural and Applied Sciences, 11(12), 26–34.

Cole, J. P., & King, C. A. M. (1968). Quantitative geography john wiley. London, 692, 200–201.

Daniel, C. B., Mathew, S. & Saravanan, S. (2021). Spatial interdependence of fractal dimension and topological parameters of road network: a geographically weighted regression approach. Spat. Inf. Res. https:// doi.org/10.1007/s41324-021-00390-w

Daniel C. B., Saravanan S., & Mathew S. (2020). GIS Based Road Connectivity Evaluation Using Graph Theory. Mathew T., Joshi G., Velaga N., Arkatkar S. (eds) Transportation Research. Lecture Notes in Civil Engineering, vol 45. Springer, Singapore. https://doi. org/10.1007/978-981-32-9042-6_17

Dalip, & Kumar, V. (2016). Optimum Route Selection for Vehicle Navigation. International Journal of Advanced Computer Science and Applications, 7(2), 142–148. https://doi.org/10.14569/ijacsa.2016.070219

Das, D., & Ahmed, M. A. (2018). Level of service for on-street parking. KSCE Journal of Civil Engineering, 22(1), 330–340. https://doi.org/10.1007/s12205-017-1538-1

Dasmahapatra, D (2023). Measuring the Urban Road network pattern using connectivity analysis: A micro-level study in Egra Municipality, West Bengal. International Journal of Science and Research Archive, 8(2), 117–127. https://doi.org/10.30574/ijsra.2023.8.2.0209

Dey, T. (2016). Indian Journal of Spatial Science An Assessment of Road Traffic Congestion at Park Circus Crossing , Kolkata. i(2), 49–58.

Dill, J. (2004). Measuring Network Connectivity for Bicycling and Walking.” In 84th Annual Meeting of the Transportation Research Board. Paper 04-001550. 1–21.

Dutta, S., & Mistri, D. (2012). Problems of transportation system in Bardhaman municipal area, West Bengal. Practicing Geographer; Journal of Foundation of Practicing Geographers, vol 16.67-78.

FitzGerald, B. P. (1974). Developments in geographical method (Vol. 82). Oxford University Press, USA.

Ghosh, S., & Mondal, M. (2019). Risk Analysis for Recommendation of an Effective Fire Hazard Management System: A Study in Kolkata Municipal Corporation (KMC) Area, West Bengal, India. 2454–9150. https://doi.org/10.35291/2454-9150.2019.0062

Haque, S. M, & Alam, M. J. (2020). Micro-Level Analysis of Road Connectivity and Its Spatial Variation in the Kolkata Municipal Corporation (KMC) Area. Urbanization and Regional Sustainability in South Asia: Socio-Economic Drivers, Environmental Pressures and Policy Responses, 157–176.

Hartanto Susilo, B., & Imanuel, I. (2018). Traffic congestion analysis using travel time ratio and degree of saturation on road sections in Palembang, Bandung, Yogyakarta, and Surakarta. MATEC Web Conf., 181. https://doi.org/10.1051/matecconf/201818106010

Ivan, K., Haidu, I., Benedek, J., & Ciobanu, S. M. (2015). Identification of traffic accident risk-prone areas under low-light conditions. Natural Hazards and Earth System Sciences, 15(9), 2059–2068. https://doi.org/10.5194/nhess-15-2059-2015

Kansky, K. J. (1963). Structure of transportation networks: relationships between network geometry and regional characteristics. The University of Chicago.

Karuppanagounder, K. & Muneera, C. (2017). Performance Evaluation of Urban Links underHeterogeneous Traffic Condition. European Transport, (65), pp 1-10.

Kisgyörgy, L., Vasvári, G. (2014) Analysis and Observation of Road Network Topology. Proceedings of the19th International Conference of Hong Kong Society for Transportation Studies, Hong Kong. pp. 253-259.ISBN: 978-988-15814-3-3

Kolkata Metropolitan Development Authority. 2008. Comprehensive Mobility Plan, Kolkata Metropolitan Area.

Kolkata Traffic Police. 2018. Annual Review Bulletin.

Kumar, P., & Kumar, D. (2016). Network Analysis using GIS Techniques: A Case of Chandigarh City. International Journal of Science and Research (IJSR), 5(2), 409–411. https://doi.org/10.21275/v5i2.nov161143

Kumar, R., Parida, Dr. P., Madhu, Dr. E., & Kumar, A. V. A. B. (2017). Does Connectivity Index Of Transport Network Have Impact On Delay For Driver? Transportation Research Procedia, 25, 4988–5002. https://doi.org/https://doi.org/10.1016/j.trpro.2017.05.377

Kundu, P., & Basu, R. (2015). Role of transportation network in urbanization: a case study of North 24 Parganas district, West Bengal. Int. J. Multidiscip. Res. Develop, 2(12), 22–28.

Lomax, T.J. (1990) Estimating transportation corridor mobility, Transportation Research Record: Journal of the Transportation Research Board, No. 1280, pp. 82-91.

Lomax, T. J. & Schrank, D. L. 2005. The 2005 urban mobility report.

Levinson, D. (2012). Network structure and city size. PLoS ONE, 7(1). https://doi.org/10.1371/journal.pone.0029721

Li, M., Guo, R., Li, Y., He, B., Chen, Y., & Fan, Y. (2019). Distribution Characteristics of the Transportation Network in China at the County Level. IEEE Access, 7, 49251–49261. https://doi.org/10.1109/ACCESS.2019.2910299

Lomax, T., Turner, S., Shunk, G., Levinson, H. S., Pratt, R. H., Bay, P. N., & Douglas, G. B. (1997). Quantifying Congestion. Volume 2: User’s Guide.

Maparu, T. S., & Pandit, D. (2010). Selection of corridors for BRT Kolkata. Institute of Town Planners, India Journal, December, 21–36.

Mukherjee, D., & Mitra, S. (2020). A comprehensive study on identification of risk factors for fatal pedestrian crashes at urban intersections in a developing country. Asian Transport Studies, 6, 100003. https://doi.org/https://doi.org/10.1016/j.eastsj.2020.100003

Nagne, A. D., & Gawali, B. W. (2013). Transportation network analysis by using Remote Sensing and GIS a review. International Journal of Engineering Research and Applications, 3(3), 70-76.

Nagne, A. D., Vibhute, A. D., Gawali, B. W., & Mehrotra, S. C. (2013). Spatial analysis of transportation network for town planning of Aurangabad city by using Geographic Information System. International Journal of Scientific & Engineering Research, 4(7), 2588–2594.

Obafemi, A. A., Eludoyin, O. S., & Opara, D. R. (2011). Road network assessment in Trans-Amadi, Port Harcourt in Nigeria using GIS. International Journal for Traffic and Transport Engineering, 1(4), 257-264.

Patra, M. C. (2015). Urban transport dynamics a study of road transport of Kolkata. (Unpublished Doctoral Thesis), University of Calcutta, Kolkata, West Bengal.

Patra, U. K., Hembram, R., Mandal, P., & Sinha, S. (2019). Analysis of the Spatial Pattern of Road Transport Network in Jungle Mahal Blocks of Purulia District, West Bengal, India. Journal of The Gujarat Research Society, 21(13).

Purkait, S. K., & Halder, S. (2016). Fire Accident in Kolkata Slums: A Case Study of Basanti Colony and Tangra Slum-Causes, Consequences and Possible Ways to Mitigation. In International Journal of Humanities & Social Science Studies (IJHSSS) (Vol. 3, Issue I, pp. 266–278). Scholar Publications Karimganj, Assam, India.

Robinson, H.,& Bamford., C. G.,1978. Geography of Transport. Macdonald and
Evans, ISBN 978-0-415-48324-7

Rahman, F., & Kumar, S. (2023). Analysis of road network accessibility using graph theory and GIS technology: A study of Bhojpur district, Bihar. IJAR, 9(4), 104–110.

Rai, P. K., Singh, P. K., Singh, A. K., & Mohan, K. (2013). Network Analysis Using GIS. International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS), 5(32019), 289–292.

Rao, A. M. & Rao, K. R. (2012). Measuring urban traffic congestion-a review. International Journal forTraffic & Transport Engineering, 2(4), pp 286-305.

Ray.T. K. (2018). Road Traffic accidents in urban area under the jurisdiction of Kolkata police a Geographical analysis (unpublished Doctoral thesis), University of Calcutta, Kolkata, West Bengal.

Ray, T.K., &, Bhaduri, S. (2018). Spatiotemporal Variation of Road Traffic Accident in Kolkata: An Appraisal. International Journal of Recent Scientific Research, 9( 3), 24970-24974.

Rodrigue, & Jean-Paul. (2006). The Geography of Transport Systems. http://people.hofstra.edu/geotrans.

Roess, R. P., Prassas, E. S., & McShane, W. R. (2011). Traffic engineering. Pearson.

Sadavare, A. B., & Kulkarni, R. V. (2012). A Review of Application of Graph Theory for Network. International Journal of Computer Science and Information Technologies, 3(6), 5296–5300.

Sahu, A., Dutta, A., & Saha, P. (2021). Travel Time Comparison Using Google Map and OSM Tracker. International Journal of Advanced Research in Science, Communication and Technology, 3(2), 182–200. https://doi.org/10.48175/ijarsct-890

Sarkar, D. (2013). Structural Analysis of Existing Road Networks of Cooch Behar District, West Bengal, India: A Transport Geographical Appraisal. Ethiopian Journal of Environmental Studies and Management, 6(1). https://doi.org/10.4314/ejesm.v6i1.9

Sarkar, P., & Kanti Ray, T. (2021). An analysis of road network development in Darjeeling town, West Bengal. In Transactions (Vol. 43, Issue 2).

Saxena, H. M. (2005). Transport geography. Rawat Publications.

Shivaprasad, K. S., Shruthi, S., Chandana, R., & K, N. A. Y. (2018). Advanced Traffic Control System for Emergency Vehicle. NCESC - 2018 Conference Proceedings, 6(13), 1–3.

Sreelekha, M. G., Krishnamurthy, K., & Anjaneyulu, M. V. L. R. (2016). Interaction between Road Network Connectivity and Spatial Pattern. Procedia Technology, 24, 131–139. https://doi.org/10.1016/j.protcy.2016.05.019

Taaffe, E., Gauthier, H., & O’Kelly, M. (1973). Geography of Transportation. Prentice Hall. Englewood Cliffs NJ.

Tamin, O. Z. (1996). Simplified public transport route planning method: a study case in Bandung (Indonesia). 23.

Toulni, H., Miyara, M., Filali, Y., & Tékouabou, S. C. K. (2023). Preventing urban traffic congestion using VANET technology in urban area. E3S Web of Conferences, 418, 02005.



DOI: https://doi.org/10.22146/ijg.85478

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