A General Morphological Analysis to Support Strategic Management Decisions in Public Transport Companies
This paper presents a General Morphological Analysis (GMA) meta-model aiming to help decision-makers wishing to integrate sustainability concerns into the company strategy. This is made by joining Operational Research (OR) analysts, decision-makers and stakeholders as participants in the problem structuring and formulation process. This is particularly relevant in societal issues, where public transport companies are particularly important. Indeed, public transport companies play a quite visible role in the dimensions of corporate social responsibility, namely because of four reasons: (i) they provide daily services crucial to mass customers’ mobility; (ii) their investments are usually of high value and rather sensitive to technological development; (iii) they play a crucial role in the energy sector and (iv) are strongly dependent upon macro-policies.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/23521465
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Supplemental Notes:
- © 2017 Maria de Fátima Teles and Jorge Freire de Sousa. Published by Elsevier B.V.
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Authors:
- Teles, Maria de Fátima
- de Sousa, Jorge Freire
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Conference:
- 19th EURO Working Group on Transportation Meeting "Simulation and Optimization of Traffic and Transportation Systems", EWGT 2016
- Location: Istanbul , Turkey
- Date: 2016-9-5 to 2016-9-7
- Publication Date: 2017
Language
- English
Media Info
- Media Type: Digital/other
- Features: Figures; References; Tables;
- Pagination: pp 509-518
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Serial:
- Transportation Research Procedia
- Volume: 22
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 2352-1465
- Serial URL: http://www.sciencedirect.com/science/journal/23521465/
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Publication flags:
Open Access (libre)
Subject/Index Terms
- TRT Terms: Decision making; Mobility; Operations research; Public transit; Strategic planning; Sustainable development; Transit operating agencies
- Subject Areas: Administration and Management; Planning and Forecasting; Public Transportation; Research;
Filing Info
- Accession Number: 01636072
- Record Type: Publication
- Files: TRIS
- Created Date: May 17 2017 4:51PM