Abstract
Share of transport sector in Indian Gross Domestic Product (GDP) is about 6.4%. Predominantly road infrastructure carries about a share of 5.4% in GDP (Planning commission, of India 2013). There has been an average growth of 8.87% in export cargo and 7.68% in import cargo at Kandla port from 2004–2014 (Rathod and Varia in Freight transport modelling-issues and challenges: a case study of Kandla port, 2016 [1]; Rathod and Varia in Category analysis of truck trips observed at Samakhiyali Check Post, Gujarat, 2016 [2]). In the present paper, an attempt is made to analyze the generated truck trips based on trip length distribution (TLD). TLD is examined based on commodity and tonnage. The data is collected from single point entry and exit of regional area of Kandla port. The analysis depicts variation in terms of trip length and time. A rise is observed due to seasonal variation by 20.61%. Most of the trips observed are in the range of 0–1200 km.
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References
Rathod SC, Varia HR (2016) Freight transport modelling-issues and challenges: a case study of Kandla port. In: International conference on transportation planning methodology for developing countries, IIT Bombay, paper ID 98
Rathod SC, Varia HR (2016) Category analysis of truck trips observed at Samakhiyali Check Post, Gujarat. In: International conference on research & entrepreneurship, R. K. University, Rajkot, Gujarat, India. ISBN: 978-93-5254-061-7
Ministry of Road Transport and Highway, India, passenger and freight traffic assessment and adequacy of fleet and data collection and use of IT in transport sector in the twelfth five year plan (2012–17)
Patil G, Sahu P (2015) Estimation of freight demand at Mumbai Port using regression and time series models. KSCE J Civ Eng 20(5):2022–2032. https://doi.org/10.1007/s12205-015-0386-0
Guo H (2010) The reform and pilot study of survey methodology for road freight transport. In: ICLEM 2010: logistics for sustained economic development 2010 ASCE
Serag MS (2013) Al-Tony modeling international freight transport through ports and lands of Arab countries. Alexandra Eng J 52:433–445
Chu H-C (2011) Empirical method for predicting internal-external truck trips at a major port. ASCE J Transp Eng 137(7)
Al-Deek MH, Johnson G, Mohamed A, EI-Maghraby A (2000) Truck trip generation models for seaports with container and trailer operation. Transp Res Rec 1719:1–9. https://doi.org/10.3141/1719-01
Holguin-Veras J, Thorson E (2000) An investigation of the relationships between the trip length distributions in commodity-based and trip-based freight demand modeling. Transp Res Rec 1707:37–48
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Rathod, S.C., Varia, H.R. (2019). Analysis of Truck Trips Generated from Port Infrastructure Based on Trip Length Distribution. In: Deb, D., Balas, V., Dey, R., Shah, J. (eds) Innovative Research in Transportation Infrastructure. Lecture Notes in Intelligent Transportation and Infrastructure. Springer, Singapore. https://doi.org/10.1007/978-981-13-2032-3_9
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DOI: https://doi.org/10.1007/978-981-13-2032-3_9
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