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Impact of industrial freight flows on the overall traffic in Surat city, India

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Surat is one of the major textile manufacturing hubs in India, having 40% of the synthetic fabric produced in the country. The textile industry in the city has witnessed tremendous growth in the last decade, leading to many transportation-related changes within it. Textile manufacturing has different phases like weaving, processing, value addition and trading or distribution. These phases are located as clusters or pockets in different parts of the city. The scattered nature of the industry generates numerous freight trips. This study focuses on characterizing and estimating textile freight trips in the city. Establishment survey data was collected from production units located in various clusters. A multi-linear regression model for freight trips generated using the quantity of cloth produced was developed for the estimation of the total textile freight trips. Thus, this study will help the planner identify the strategic location of the textile and its allied industries as well as for freight infrastructure in the city. More so, it would help in understanding the impacts of textile freight movement on the city’s overall traffic.
Słowa kluczowe
Rocznik
Tom
Strony
45--59
Opis fizyczny
Bibliogr. 30 poz.
Twórcy
  • Government Engineering College, Daman, Mota Falia Daman - 396 210, U.T of Dadra & Nagar Haveli and Daman & Diu. India
autor
  • Sardar Vallabhbhai National Institute of Technology, Surat, Ichchhnath, Surat - 395 007, Gujarat, India
Bibliografia
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  • 4. Census of India, 2011. Gujarat Series 25, Part XII-B, District census handbook, Surat. Directorate of Census Operation, Gujarat, India. Available at: https://censusindia.gov.in/2011census/dchb/2425_PART_B_DCHB_SURAT.pdf.
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  • 6. Waliszewski Janine, Dike Ahanotu, Michael Fischer. 2004. “Comparison of Commodity Flow Forecasting Techniques in Montana”. Transportation Research Record – Journal of Transportation Research Board 1870(1): 1-9. DOI: 10.3141/1870-01.
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  • 12. Bastida Carlos, José Holguín-Veras. 2009. “Freight Generation Models: Comparative Analysis of Regression Models and Multiple Classification Analysis”. Transportation Research Record – Journal of Transportation Research Board 2097(1): 51-61. DOI: 10.3141/2097-07.
  • 13. Middleton Dan, John Jr Mason, Chavala Chira. 1988. “Trip Generation for Special-Use Truck Traffic”. Transportation Research Record – Journal of Transportation Research Board 1090: 8-13. Available at: http://worldcat.org/isbn/0309041104.
  • 14. Kawamura Kazuya, Shin Hyeon-Shic, McNeil Sue. 2005. Business and Site-Specific Trip Generation Methodology for Truck Trips. Midwest Regional University Transportation Center, College of Engineering, Department of Civil and Environmental Engineering, University of Wisconsin, Madison.
  • 15. Badoe Daniel, Gerald Steuart. 1997. “Urban and travel changes in the Greater Toronto Area and the transferability of trip-generation models”. Transportation Planning and Technology 20(4): 267- 290. DOI: 10.1080/03081069708717594.
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  • 23. Visser Johan, Kim Hassall. 2005. “The future of city logistics: estimating the demand for home delivery in urban areas”. In: 4th International Conference on City Logistics. P. 147-162. Institute for City Logistics, Langkawi, Maleisië - Kyoto, Japan. 12-14 July 2005. Langkawi, Maleisië - Kyoto, Japan. DOI: 10.13140/2.1.1125.2484.
  • 24. Triantafyllou Maria, Tom Cherrett, Michael Browne. 2014. “Urban Freight Consolidation Centers: Case Study in the UK Retail Sector”. Transportation Research Record – Journal of Transportation Research Board 2411(1): 34-44. DOI: 10.3141/2411-05.
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  • 26. Divya Priya, Gitakrishnan Ramadurai, Gayathri Devi. 2015. “Freight Trip Generation Models for Chennai, India”. In: Transportation Research Board 94th Annual Meeting. 11-15 Jan 2015. Washington D. C., United States.
  • 27. Swamy Shivanand, Deepak Baindur. 2014. “Managing urban freight transport in an expanding city - Case study of Ahmedabad”. Research in Transportation Business & Management 11: 5-14. DOI: 10.1016/j.rtbm.2014.06.010.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-513023d1-10af-4230-9078-c48908eabc41
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