A Multi-criteria Assessment Approach for the Evaluation of Railway Transport in the Balkan Region

Stoilova, Svetla

doi:10.7307/ptt.v31i6.3189

Cited by 8 publications

(9 citation statements)

References 11 publications

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“…In this framework, the Balkan countries which are already the members or in the process of becoming a member of the EU have to adopt carbon reduction targets and implement mitigation policies and measures that are in line with the EU legislations (Georgopoulou et al , 2015; Golušin et al , 2013). Second, as the Balkan region has an important geostrategic position for the transport thank links between Europe and Asia, logistics sector plays a critical role for the development of the countries in this region (Skayannis and Skyrgiannis, 2002; Stoilova, 2019). For the purpose of this study, 11 Balkan countries are included in the analysis which are Albania, Bosnia and Herzegovina, Bulgaria, Croatia, Greece, Montenegro, North Macedonia, Romania, Serbia, Slovenia and Turkey.…”

Section: Introductionmentioning

confidence: 99%

The relationship between logistics performance and carbon emissions: an empirical investigation on Balkan countries

Karaduman

Karaman-Akgül

Çağlar

et al. 2020

IJCCSM

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Purpose The purpose of this paper is to analyze the impact of logistics performance on the carbon (CO2) emissions of Balkan countries. Design/methodology/approach Fixed-effects panel regression analysis is used to estimate the causal relationship between CO2 emissions and logistic performances of Balkan countries. Logistics performance is measured by logistics performance index (LPI) which was published by the World Bank in 2007, 2010, 2012, 2014 and 2016 and used for ranking countries by means of their logistics performance. LPI is based on six main indicators: customs procedures, logistics costs and the quality of the infrastructure for overland and maritime transport. As a measure of carbon emissions of sampled countries, the natural logarithm of carbon dioxide emission per capita is used in this study. Findings The results obtained reveal that there is a positive and significant relationship between logistics performance and CO2 performances of the sampled Balkan countries. Research limitations/implications This study is based on only 11 Balkan countries. In this sense, the data used in the analysis is limited. Originality/value Considering the important geostrategic position of the Balkan region, logistics sector has an important role for the development of the countries in that region. In this sense, the findings of this study may provide useful insights for policymakers to achieve sustainable economic development. Furthermore, as far as the authors know, this is the first study that focuses on the relationship between logistics performance and carbon emissions of Balkan countries.

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Section: Introductionmentioning

confidence: 99%

The relationship between logistics performance and carbon emissions: an empirical investigation on Balkan countries

Karaduman

Karaman-Akgül

Çağlar

et al. 2020

IJCCSM

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“…In addition to being crucial to the foundation and expansion of the urban fabric, railway transportation have had an impact on both the rural and urban terrain. Stoilova (2019), has defined level of physiographic impact on infrastructural development of railway transport. Adverse topography is the barrier of railway construction (Dorse et al 2017).…”

Section: Discussionmentioning

confidence: 99%

Does Physio-environmental Determinism Influence the Infrastructural Development of Railway Stations?

Roy

Mitra

2022

Journal of Infrastructure Development

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The main aim of the article is to understand the role of physiographical aspects and attributes in the infrastructural development of railway stations. Remote Sensing and Geographical Information System techniques have been used for delineating physiographic factors and data of social interfaces like passengers’ mobility collected from the railway stations. A robust Synthetic Indicator has been used to classify railway stations. The ordinal regression model has run between physio-environmental attributes and Robust Synthetic Indicator. Due to its unique valley and ridge topography and newly developed railway infrastructure, Phenomenological evidence is collected from Tripura, North-eastern state of India. Very few studies have been done addressing the development of railway stations with physio-environmental viability. The study reveals that the physical environment is a significant determining factor, but passenger mobility has a more decisive influence on the infrastructural development of railway stations in Tripura. Infrastructure-driven materialistic possibilism has been proposed as a philosophical model of the infrastructural development of railway stations.

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“…Dimitrova Stoilova [13] examined railway transport markets by using the WASPAS method. Gupta et al [21] employed a fuzzy AHP-WASPAS approach to assess green suppliers.…”

Section: Applications Of the Waspas Methodsmentioning

confidence: 99%

Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade

Šimić

Lazarević

Dobrodolac

2021

Eur. Transp. Res. Rev.

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Background Last-mile delivery (LMD) is becoming more and more demanding due to an increasing number of users and traffic problems in cities. Besides, medical crises (like the COVID-19 outbreak) and air pollution represent additional motives for the transition from traditional to socially and environmentally sustainable LMD mode. An emerging problem for companies in the postal and logistics industry is how to determine the best LMD mode in a multi-criteria setting under uncertainty. Method For the first time, an extension of the Weighted Aggregated Sum Product ASsessment (WASPAS) method under the picture fuzzy environment is presented to solve the LMD mode selection problem. The introduced picture fuzzy set (PFS) based multi-criteria decision-making (MCDM) method can be highly beneficial to managers who are in charge of LMD since it can take into account the neutral/refusal information and efficiently deal with high levels of imprecise, vague, and uncertain information. The comparative analysis with the existing state-of-the-art PFS-based MCDM methods approved the high reliability of the proposed picture fuzzy WASPAS method. Its high robustness and consistency are also confirmed. The presented method can be used to improve LMD in urban areas worldwide. Besides, it can be applied to solve other emerging MCDM problems in an uncertain environment. Findings A real-life case study of Belgrade is presented to fully illustrate the potentials and applicability of the picture fuzzy WASPAS method. The results show that postomates are the best mode for LMD in Belgrade, followed by cargo bicycles, drones, traditional delivery, autonomous vehicles, and tube transport.

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A Multi-criteria Assessment Approach for the Evaluation of Railway Transport in the Balkan Region

Cited by 8 publications

References 11 publications

The relationship between logistics performance and carbon emissions: an empirical investigation on Balkan countries

The relationship between logistics performance and carbon emissions: an empirical investigation on Balkan countries

Does Physio-environmental Determinism Influence the Infrastructural Development of Railway Stations?

Picture fuzzy WASPAS method for selecting last-mile delivery mode: a case study of Belgrade

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