Evaluation of benefits due to adoption of enablers of unimodal road to intermodal railroad freight transportation

Nevil Gandhi, Ravi Kant and Jitesh J. Thakkar

Transport Policy, 2024, vol. 146, issue C, 295-311

Abstract: The adverse environmental consequences arising from road-based logistics operations have prompted stakeholders, including transport service providers, logistics managers, and shippers, to initiate a modal shift from unimodal road to intermodal railroad (IRR) freight transportation. However, the adoption pace of IRR in developing nations is slow. Modal shift enablers (MSEs) facilitate IRR adoption, while modal shift benefits (MSBs) signify favorable performance outcomes from MSEs' application. The main objective of this study is to rank the MSBs resulting from the adoption of MSEs in IRR freight transportation. This study proposes an integrated multi-criteria decision-making framework utilizing the spherical fuzzy analytic hierarchy process (SF-AHP) to evaluate MSEs' weights and the spherical fuzzy technique for order of preference by similarity to ideal solution (SF-TOPSIS) to rank the MSBs. The case study performed in the Indian logistics sector reveals that ‘government policies and legislation enablers’, ‘infrastructural enablers’ and ‘strategic and management enablers’ are the most significant MSEs, whereas reduction in vehicular pollution and related negative externalities as well as reduction of the freight transport costs including storage and handling charges are most crucial MSBs realized due to adoption of MSEs. A sensitivity analysis is conducted to assess the stability of the ranking. The results help decision-makers in implementing MSEs for MSBs and develop effective IRR adoption strategies. This study also promotes sustainable freight transportation and provides logistics practitioners, researchers, and policymakers with a precise, systematic, and practical decision-support tool.

Keywords: Sustainable freight transportation; Modal shift; Intermodal railroad; Enablers; Benefits; Spherical fuzzy AHP-TOPSIS (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0967070X23003311
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:trapol:v:146:y:2024:i:c:p:295-311

Ordering information: This journal article can be ordered from
http://www.elsevier.com/wps/find/supportfaq.cws_home/regional
https://shop.elsevie ... _01_ooc_1&version=01

DOI: 10.1016/j.tranpol.2023.12.003

Access Statistics for this article

Transport Policy is currently edited by Y. Hayashi

More articles in Transport Policy from Elsevier
Bibliographic data for series maintained by Catherine Liu ().