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World Review of Intermodal Transportation Research
Journal Prestige (SJR): 0.26

Citation Impact (citeScore): 1
Number of Followers: 6

Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1749-4729 - ISSN (Online) 1749-4737
Published by Inderscience Publishers

[450 journals]

Quantifying rail transit investments with appropriate measures and metrics
- Authors: Shailesh Chandra, Ravi Mazin
  Pages: 313 - 333
  Abstract: An evaluation is carried out to quantify measures for an on-going rail transit investment project. The project involves enhancing the connectivity between San Onofre to Pulgas in the Southern California Region. In this project, a single track is expanded into double line second track construction with a planned completion in the year 2022. The line currently serves both freight and passenger rail at present. With an investment of $30 million in the San Onofre to Pulgas Double Track Phase 2, the following percentage changes would be noted in the short term: the increase in stop-level accessibility along the route of 200%, GHG emission reduction of 1.22%, percentage ridership and boarding increase along the route of 15.8%, travel time reduction of 36%, and resource utilisation increase of 32.3%. The findings are useful for policy makers in assessing investment outcome on intercity passenger rail transportation in California.
  Keywords: transit; accessibility; mobility; service quality; investment; rail; riders; metric; measure; policy; emissions; freight; passenger; California
  Citation: World Review of Intermodal Transportation Research, Vol. 9, No. 4 (2020) pp. 313 - 333
  PubDate: 2020-11-09T23:20:50-05:00
  DOI: 10.1504/WRITR.2020.111093
  Issue No: Vol. 9, No. 4 (2020)
An examination of the interrelation between seaports and dry ports in
developing countries: the case of Vietnam
- Authors: Lam Canh Nguyen, Vinh V. Thai, Duc Minh Nguyen, Son Canh Nguyen
  Pages: 334 - 357
  Abstract: This research aims at exploring the interrelation between seaports and dry ports in developing countries using the case of Vietnam. Apart from secondary data analysis, in-depth interviews were conducted with relevant stakeholders of the seaport-dry port system to derive insights of their interrelation patterns in the case of Vietnam. It was found that there are four patterns of seaport-dry port interrelation in the country. In the competing pattern, dry ports are developed as satellite terminals to conduct some of seaports' activities without having interrelation with seaports. In the independent pattern, dry ports are the region's load centres with no direct relationship with seaports. Thirdly, the collaborative pattern refers to the model in which seaports collaborate with specific dry ports to secure their markets. Finally, in the extended gate pattern, dry ports are developed by seaports to reach a larger and farther hinterland. Academic and managerial implications are discussed accordingly.
  Keywords: dry port; seaport; ICD; interrelation; hinterland; developing countries; Vietnam
  Citation: World Review of Intermodal Transportation Research, Vol. 9, No. 4 (2020) pp. 334 - 357
  PubDate: 2020-11-09T23:20:50-05:00
  DOI: 10.1504/WRITR.2020.111102
  Issue No: Vol. 9, No. 4 (2020)
Real-time information for operational disruption management in
hinterland road transport
- Authors: Lam Canh Nguyen, Vinh V. Thai, Duc Minh Nguyen, Son Canh Nguyen
  Pages: 358 - 375
  Abstract: Port hinterland transport literature has previously taken mainly a port perspective of operational disruption, for example delays or congestion, and as such lacks understanding of how real-time information can contribute to management of operational disruption outside the port. Therefore, the purpose of the paper is to explore real-time information for operational disruption management in road hinterland transport. A qualitative single case study approach is adopted at a logistics service provider responsible for road hinterland transport. The findings show improvement potential in disruption management by applying real-time information. Mainly issues related to the detection of disruption are highlighted to generate insufficiencies for the operational disruption management. Furthermore, the focus of real-time information for the impact on goods flow, rather than disruptions in the surrounding environment of transport operations, was found to limit disruption management. The paper intends to contribute to the hinterland transport literature by broadening the understanding for management of operational disruption through use of real-time information.
  Keywords: hinterland transport; disruption management; real-time information; operational uncertainty; operational road freight transport
  Citation: World Review of Intermodal Transportation Research, Vol. 9, No. 4 (2020) pp. 358 - 375
  PubDate: 2020-11-09T23:20:50-05:00
  DOI: 10.1504/WRITR.2020.111103
  Issue No: Vol. 9, No. 4 (2020)
Fractal modelling of an urban road network using Geographical Information
Systems (GIS)
- Authors: Kurre Sai Sahitya, C.S.R.K. Prasad
  Pages: 376 - 392
  Abstract: Fractal dimension analysis for a transport network structure is essential for urban road network planning. The present study attempts to evaluate road network in terms of fractal dimension using Geographical Information Systems (GIS) with a symbolic case study of Hyderabad city, Capital of Telangana state, India. The study implements mass-radius fractal method for quantifying fractal dimension of the road network by increasing the buffer radius. The present work also focuses on developing a model that explains the relationship between network structure and fractal aspect of the road network using Multiple Linear Regression (MLR) analysis. The similarity of the road network pattern at different locations of city is presented in this study. The results of the study showed that there is diversity in the growth and development of the road network in the city. This research tried to explain the relevance of fractal dimension analysis in transportation planning.
  Keywords: fractal; evaluation; GIS; similarity; model
  Citation: World Review of Intermodal Transportation Research, Vol. 9, No. 4 (2020) pp. 376 - 392
  PubDate: 2020-11-09T23:20:50-05:00
  DOI: 10.1504/WRITR.2020.111078
  Issue No: Vol. 9, No. 4 (2020)
Analysis of road mortality in digital age using Bayesian ecological
model: the case of Tunisia
- Authors: Karim Kammoun, Aymen GhÃ©dira, Chaker Ben Saad, Nesrine Bouhamed
  Pages: 393 - 409
  Abstract: While awareness of the public health burden of road insecurity is recent, the idea that it is developing countries, particularly in Africa, that experience high road deaths is older. Tunisia is an example of this. In this context, our article proposes recommendations through the study of the road mortality rate in Tunisia based on population density and belonging to a geographical unit. To do so, we used the Bayesian ecological regression model whose parameters are adjusted by Gibbs sampling. The analysis shows that the variation in road mortality risk is highest at the delegation level but lowest at the district and governorate levels. An estimated elasticity of −0.25 at the district level means that a 10% increase in population density can lead to a 2.5% decrease in road deaths. Bayes Relative Risk Mapping could help identify areas with high road mortality and strengthen road safety decision making.
  Keywords: road safety policy; regional analysis; road mortality; population density; Bayesian method
  Citation: World Review of Intermodal Transportation Research, Vol. 9, No. 4 (2020) pp. 393 - 409
  PubDate: 2020-11-09T23:20:50-05:00
  DOI: 10.1504/WRITR.2020.111063
  Issue No: Vol. 9, No. 4 (2020)

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