Intelligent Urban Mobility : Decision Support Systems for Sustainable Transportation.

Format:

Book

Author/Creator:

Deveci, Muhammet.

Language:

English

Physical Description:

1 online resource (406 pages)

Edition:

1st ed.

Place of Publication:

Chantilly : Elsevier Science & Technology, 2025.

Summary:

Intelligent Urban Mobility: Decision Support Systems for Sustainable Transportation explores the role of technology in enabling greener, more accessible transportation in cities worldwide.

Contents:

Front Cover

Intelligent Urban Mobility

Copyright

Contents

Contributors

1 - Sustainable urban mobility plans (SUMPs): An overview

1. Introduction

2. The concept of sustainable urban mobility plans (SUMPs): Origins and development

3. Literature review: Major themes of SUMP

4. Literature review: Case studies for SUMP development and implementation

5. Policy implications for the Turkish context

6. Concluding remarks

References

2 - Leveraging meta heuristics and deep learning for decision support systems in sustainable transport applications

1.1 Overview of sustainable transport challenges

1.2 Decision support systems in sustainable transport

1.3 Meta-heuristics for transport optimization

1.4 Deep learning for transportation data analytics

1.5 Integration of meta-heuristics and deep learning

1.6 Case studies and applications

1.6.1 Urban traffic management

1.6.2 Public transport optimization

1.6.3 Smart mobility solutions

1.7 Challenges and future directions

1.8 Economic impacts and incentives for sustainable mobility

1.8.1 Cost-benefit analysis

1.9 Financing mechanisms

1.10 Economic incentives

1.11 Socioeconomic benefits

1.12 Politics and governance in sustainable urban mobility

1.12.1 Importance of policy alignment

1.13 Intergovernmental cooperation

1.14 Policy instruments and regulatory frameworks

1.15 Public participation and stakeholder engagement

2. Conclusion

Acknowledgments

AI disclosure

3 - Consensus-reaching process for intelligent vehicle group decision making in smart transportation system

1.1 Intelligent vehicle group decision-making problem

1.2 Cooperative navigation scheme in complex scenarios.

1.3 Game theory and consensus-reaching process for IVs

2. MVS decision-making architecture

3. Consensus-reaching process (CRP) for IVs

4. A case study of CRP for MVS

5. Summary

4 - Shared electric vehicle usage risk prioritization based on integrated FMEA and CRADIS methods with T-spherical ...

2. Problem description

3. Risk assessment methodology

3.1 T-spherical uncertain linguistic set concept

3.2 Identification of experts and their assessment weights

3.3 Failure mode and risk level assessment

3.4 Calculate the weights of risk factors based on the closeness optimization method

3.5 Ranking failure modes using the compromise ranking of alternatives from distance to ideal solution method

4. Case study

4.1 Organize the team of experts and calculate the assessment weights

4.2 Failure mode risk assessment for shared electric vehicles

4.3 Calculating risk factor weights

4.4 Ranking the failure modes

4.5 Comparative analysis of different methods

5. Discussion and implications

6. Conclusion

5 - Safety risk assessment of autonomous vehicles for sustainable transportation

1. Introduction and related literature

2. Methodology

2.1 Interval valued intuitionistic fuzzy numbers

2.2 The integration IVIF-TOPSIS based on FMEA for risk assessment model

3. Case study and sensitivity analysis

3.1 Case study

3.2 Sensitivity analysis

3.3 Policy implication

4. Conclusions and discussions

6 - Developing a GIS-supported SVN-WENSLO-ARLON hybrid method for bicycle pooling location selection: A case study ...

2. Methodological framework

2.1 Preliminaries of single-valued neutrosophic sets

2.2 The novel GIS-supported SVN-WENSLO-ARLON hybrid method

3. Case study.

3.1 Experts and criteria

3.1.1 Identification of experts

3.1.2 Identification of criteria

3.2 Evaluation of bicycle pooling location selection using the GIS-supported SVN-WENSLO-ARLON hybrid model

4. Results and implications

4.1 Sensitivity analysis

4.2 Research implications

5. Conclusion

7 - Identifying effective risk management policies for sustainable urban transportation projects

2. Literature review

3. Spherical fuzzy TOPSIS based-DEMATEL (SF TOP-DEMATEL)

4. Findings

5. Policy implications

8 - Flexible linguistic consensus decision making for sustainable transport practices

2. Preliminaries

2.1 Basic definitions

2.2 Problem description

3. Quantitative processing of FLEs and determination of attribute weights

4. A novel flexible linguistic adaptive consensus reaching model

5. A detailed description of the decision-making process

6. Case study

6.1 Case description

6.2 Decision-making process

6.3 Comparative analysis

7. Managerial implication

8. Conclusion and future direction

9 - Optimization-based decision making for sustainable transport: Insights into the aviation industry

1. Background

2. The application of OBDM in sustainable aviation industry

2.1 OBDM in sustainable flight scheduling

2.2 OBDM in fuel management

2.3 OBDM in sustainable fleet management

3. The application of OBDM in aviation multimodal transport

3.1 OBDM in passenger multimodal transport

3.2 OBDM in cargo multimodal transportation

4. Policy implications

10 - A generalized Hellinger distance-based spherical fuzzy TOPSIS method for sustainable transport systems selection

2. Preliminaries.

2.1 Intuitionistic fuzzy set

2.2 Picture fuzzy set

2.3 Spherical fuzzy set

2.4 Existing measures for SFSs

3. New distance measure for SFSs

4. Numerical comparisons

5. TOPSIS for sustainable transport systems selection

11 - Fuzzy multicriteria decision making for assessing public transportation systems for sustainable transportation

2.1 Studies on the selection of public transportation systems

2.2 Studies on Weights by Envelope and Slope and Ranking of Alternatives with Weights of Criterion methods

3. Research methodology

3.1 Fuzzy theory set

3.2 Fuzzy-Weights by Envelope and Slope method for prioritization of criteria affecting strategies

3.3 Fuzzy-Ranking of Alternatives with Weights of Criterion method for ranking strategies

4.1 Identification and explanation of criteria

4.2 Public transport systems

4.3 Data collection and analysis

4.4 Determining the weights with Fuzzy-Weights by Envelope and Slope method

4.5 Fuzzy-Ranking of Alternatives with Weights of Criterion method application results

5. Discussion, practical, and managerial implications

5.1 Ranking discussion

5.2 Practical implications

5.3 Managerial implications

6. Conclusions, limitations, and future directions

12 - Determining enablers for the application of sustainable and resilient urban transport systems using T-spherica ...

2.1 Study on enablers for urban sustainable transportation

2.2 Application of T-spherical fuzzy

2.3 Application of DEMATEL-ISM for enablers

3.1 Preliminaries

3.2 An integrated T-SF-DEMATEL-ISM model

3.2.1 Problem description

3.2.2 The T-SF-WAO for preference fusion

3.2.3 The T-SF-DEMATEL method.

3.2.4 A review of the ISM method

4. Application of the proposed method

4.1 Computation procedure and results

4.2 Discussion

5. Comparative analysis

6. Managerial implications

7. Conclusions

13 - Selection of the solution for the integration of sustainable and resilient urban transport systems using lingu ...

2.1 The application of linguistic T-spherical fuzzy set in decision-making problems

2.2 Multi-criteria decision-making method usage in sustainable and resilient urban transport systems

2.3 Research gaps

3. Proposed methodologies

3.2 Linguistic T-spherical fuzzy set-stepwise weight assessment ratio analysis approach for criteria weight calculation

3.3 Llinguistic T-spherical fuzzy set-CoCoSo'B method for ranking solutions

4.1 Definition of solutions

4.2 Definition of criteria

4.3 Experimental results

4.4 Sensitive analysis

4.5 Comparative analysis

5. Discussion

7. Conclusion

14 - Sustainable AI-assisted energy-efficient edge cloud system for industrial Internet of Things applications

2. Challenges: Research question

3. Research contribution

4. Related works

5. Proposed sustainable AI-assisted energy-efficient edge cloud system

6. Implementation and simulation

7. Scenario of IIoT workloads

8. Discussion results

9. Policy implication

10. Conclusion and future work

Index

Back Cover.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

0-443-34161-3

OCLC:

1525622382