Public sustainable transportation planning with service level efficiency: Hamburg case study

Purpose: Public transportation in large cities has significant impacts on the environ-mental, social, and economical perspectives. However, the proper assignment of re-sources in public transportation creates paradoxical challenges since by increasing service level efficiency, the environmental criteria will be violated. This paper has studied the literature and discussed the considerable gap for the fulfillment of the mutual service level satisfaction and environmental emission considerations. Methodology: The paper has applied the well-known assignment problem tech-nique and multi-objective planning to propose a novel framework for public trans-portation resource assignment fulfilling the aforementioned perspectives mutually. The model is capable of analyzing the tradeoffs for increasing public service satisfac-tions and meanwhile to control the environmental emissions. Using the multi-objec-tive analytical capabilities, the proposed model improves the overall citizens' satis-faction and also manage the operational costs related to the produced emission by transportation resources. Findings: The real data of Hamburg public transportation has been used to verify the capabilities of the proposed model. The findings first validate the model formu-lation and also gives insights for effective strategic planning for public resource as-signment. The analysis emphasizes on establishing control mechanism for passen-ger's arrival rate as it affects both waiting times in bus stops and also the transporta-tion vehicle weights which drastically affect the environmental factors. Originality: This paper has studied the related literature and discussed the gap for the mutual fulfillment of passenger's service level satisfaction using public transpor-tation and also controlling environmental emissions of public transportation.

Subjects

Logistics

Industry 4.0

Supply Chain Management

Sustainability

City Logistics

Maritime Logistics

Data Science

DDC Class

620: Ingenieurwissenschaften

Publication version

publishedVersion

Lizenz

https://creativecommons.org/licenses/by-sa/4.0/

Name

Sodachi et al. (2020) - Public Sustainable Transportation Planning with Service Level Efficiency.pdf

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1.6 MB

Format

Adobe PDF

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Public sustainable transportation planning with service level efficiency: Hamburg case study