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Urban transport planning : how make it smarter : an analysis of the Decision Support Tools for Torino and Birmingham

Alice Gallareto

Urban transport planning : how make it smarter : an analysis of the Decision Support Tools for Torino and Birmingham.

Rel. Cristina Pronello, Cristian Camusso, Valentina Rappazzo. Politecnico di Torino, Corso di laurea magistrale in Pianificazione Territoriale, Urbanistica E Paesaggistico-Ambientale, 2015

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A rather eclectic university career, developed through Architecture and Urban Planning, allowed me to discover the subject of transport and, in this context, the European project OPTICITIES. To take active part in this project I have done an internship in one of the six pilot cities: Birmingham. The work's theme in these months was linked to the necessary innovations for the cities that want to get characteristics of smart cities: transport management and planning are key parts in this prospect because they can improve thanks to recent technological innovations (Business Intelligence, Big Data, etc.). So it is increasingly clear that the transport system can give a contribution to a sustainable development of smart cities.

The activities during last months have been following the development of a specific instrument within the OPTICITIES project, the Decision Support Tool, for two of the six pilot cities: Birmingham and Torino. These cities are here considered like study cases in order to compare their methods of software development. The followed methodology is composed of a phase of literature analysis of the field, an activity of data collection, the analysis of the collected information and the elaboration of a comparison between every phases of DST development in the two cities.

Before describing the remarks carried by my own work I propose an analysis of the scientific literature about Decision Support System and DST, implementing a theoretical framework to analyze the recent development of these instruments and provide a vision for their evolution in the future.

In detail, the first chapter contains definitions about themes and tools analyzed in the thesis, followed by an historical background, the propose of study cases (London dashboard, Dublin dashboard, VIAJEO project) and future prospects.

In the second chapter it is presented the European project OPTICITIES, followed by the framing of the cities of Torino and Birmingham in their specific contexts and within the project itself.

The third chapter goes into detail of the activities carried out under this thesis, in fact it describes the development stages of the DST in which I took part, and it specifies objectives and work methodology through four general stages: (I) data collection phase about project preparation, (II) software development and its technical specifies, (III) experimentation phase and training activities, (IV) finalization of the project.

The fourth chapter contains the results of the investigations and their critical analysis.

Relators: Cristina Pronello, Cristian Camusso, Valentina Rappazzo
Publication type: Printed
Subjects: S Scienze e Scienze Applicate > SF Elettronica, computers, Computer science
U Urbanistica > UK Pianificazione urbana
Corso di laurea: Corso di laurea magistrale in Pianificazione Territoriale, Urbanistica E Paesaggistico-Ambientale
Classe di laurea: UNSPECIFIED
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/4512

I. Index

II. Glossary

III. Introduction

IV. Acknowledgments

1. The role of Decision Support Tools in transport planning and management

1.1. Definitions

1.2. History of DSS & DST

1.3. DST as support to urban planning

1.3.1. DSS in urban planning

1.3.2. How a DST can makes urban planning smarter

1.3.3. Study cases

1.4. Future perspectives

2. The OPTICITIES project

2.1. Torino

2.1.1. The DST development in Torino

2.1.2. Torino current situation about mobility data

2.2. Birmingham

2.2.1. The DST development in Birmingham

2.2.2. Birmingham current situation about mobility data

3. Objectives and methodology

3.1. Users' needs collection

3.1.1. Torino data collection

3.1.2. Birmingham data collection

3.1.3. Summary Ex-Ante survey methods

3.2. DST development

3.2.1. Torino DST development

3.2.2. Birmingham DST development

3.3. Test and training

3.3.1. Torino test and training management

3.3.2. Birmingham test and training management

3.4. DST finalization

3.4.1. Torino DST finalization

3.4.2. Birmingham DST finalization


4.1. Torino results

4.2. Birmingham results

4.3. Summary results

4.3.1. Qualities and criticalities

V. Conclusions

VI. Appendixes

VII. Bibliography

VIII. Sitography


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