Estimating commuting modal split by using the Best-Worst Method

Duleba, Szabolcs; Moslem, Sarbast; Esztergár-Kiss, Domokos

doi:10.1186/s12544-021-00489-z

Cited by 17 publications

(8 citation statements)

References 42 publications

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“…Recently, Duleba et al (2021) suggested a new approach for modal split estimation by ranking mode choice alternatives. Morfoulaki and Papathanasiou (2021) evaluated the most important sustainable mobility measures that should be implemented in urban areas.…”

Section: Literature Reviewmentioning

confidence: 99%

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Šimić

Ivanović

Djoric

et al. 2022

Sustainable Cities and Society

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The critical worldwide problem of adapting urban transport planning to COVID-19 is for the first time comprehensively addressed and solved in this study. It primarily aims to help transport planners increase the resilience of transport systems. Firstly, a multi-level decision-making hierarchy structure based on four main criteria and 17 sub-criteria is introduced for relevant stakeholders to provide a practical framework for assessing existing transport plans. Then, a three-stage integrated Fermatean fuzzy model for adapting urban transport planning to the pandemic is presented. The model hybridizes the method based on the removal effects of criteria (MEREC) and combined compromise solution (CoCoSo) method into a unique methodological framework under the Fermatean fuzzy environment. A case study provides decision-making guidelines on how to adapt transport plans to COVID-19 in the real-world context of Belgrade, Serbia. The research findings show that the pandemic significantly changed the priorities of transport planning strategies and measures. “Non-motorized travel” is now the best alternative since its numerous short-term measures lead to better transport service. The major advantages of the introduced model are higher flexibility and a more precise fusion of experts’ preference information. The integrated Fermatean fuzzy model could be used for adapting other emerging problems to COVID-19.

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Section: Literature Reviewmentioning

confidence: 99%

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Šimić

Ivanović

Djoric

et al. 2022

Sustainable Cities and Society

View full text Add to dashboard Cite

show abstract

“…Thus, we assumed that the average behavior could be reflected by the model parameters, which were applied for the transportation mode choice estimation. The other studies applied alternative approaches to estimating the modal share under the data limitation, for example, modeling based on the expert survey [35] and statistical model using travel time ratio [36]. They can be candidates for the modal split analysis under the data limitation.…”

Section: Methodsmentioning

confidence: 99%

Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand

et al. 2021

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Reducing congestion has been one of the critical targets of transportation policies, particularly in cities in developing countries suffering severe and chronic traffic congestions. Several traditional measures have been in place but seem not very successful. This paper applies the agent-based transportation model MATSim for a transportation analysis in Bangkok to assess the impact of spatiotemporal transportation demand management measures. We collect required data for the simulation from various data sources and apply maximum likelihood estimation with the limited data available. We investigate two demand management scenarios, peak time shift, and decentralization. As a result, we found that these spatiotemporal peak shift measures are effective for road transport to alleviate congestion and reduce travel time. However, the effect of those measures on public transport is not uniform but depends on the users’ circumstances. On average, the simulated results indicate that those measures increase the average travel time and distance. These results suggest that demand management policies require considerations of more detailed conditions to improve usability. The study also confirms that microsimulation can be a tool for transport demand management assessment in developing countries.

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“…Problem considered Ortega et al [34] Sustainable Park and Ride Facility Location Pamučar et al [35] Renewable Energy Zhou et al [36] Evaluation of Urban Photovoltaic Charging Station Moslem et al [37] Mobility choice after COVID-19 in Italy Kant and Gupta [38] Sustainable Urban Freight Strategies in Jaipur city Ali and Rashid [39] Robot Selection Process Mahmoudi [40] Multiple Experts MCDM problem under uncertainty Ozmen and Aydogan [41] Logistics Center Location Rodrí guez-Gutié rez et al [42] SMEs under sustainability perspective Duleba et al [43] Commuting Modal Spit Guler and Yomralioglu [44] Bicycle Station and Lane Location Selection…”

Section: Referencementioning

confidence: 99%

Third-Party Logistics Provider Selection for Sustainable Last-Mile Delivery: A Case Study of E-Shop in Belgrade

Švadlenka¹,

Bošković²,

Jovčić³

et al. 2023

JUDM

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Last-mile delivery (LMD) is one of the crucial phases of the shipping process. Since e-commerce rapidly evolves, there are many issues that should be addressed in city logistics. This paper specifically tackles the issue of Third-Party Logistics (3PL) provider selection for sustainable last-mile delivery. The 3PL selection problem has been solved for the e-shop company from Belgrade, which has online sales. The management of the e-shop company has identified five possible 3PL providers. Those five 3PL providers have been evaluated according to six criteria such as distribution cost, on-time delivery, flexibility of distribution, IT capability, good cultural fit, and customer satisfaction index. To evaluate and rank the 3PL providers, two multi-criteria decision-making methods were coupled. The first one is a Best-Worst Method (BWM) used to find the criteria weights, while the second one is a Combined Compromised Solution (CoCoSo) method utilized to rank the 3PL providers from best to worst one. To check the stability as well as the robustness of the applied methods, sensitivity and comparative analyses are performed. The results show high confidence in the applied methods.

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Estimating commuting modal split by using the Best-Worst Method

Cited by 17 publications

References 42 publications

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Adapting Urban Transport Planning to the COVID-19 Pandemic: An Integrated Fermatean Fuzzy Model

Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand

Third-Party Logistics Provider Selection for Sustainable Last-Mile Delivery: A Case Study of E-Shop in Belgrade

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