Abstract
The GIST Decision Support System (DSS) has been specified and developed by a consortium of two University R & D groups and five public transport companies, aiming to support the operational planning processes of the latter. It has so far been implemented with unquestionable success in several companies, although it has been difficult to measure objectively the gains it directly introduced into their daily operations.
This paper introduces the GIST DSS, describing its initial architecture and functionality, together with its more recent evolutions. It also presents the methods used in its specification, development and implementation, in particular the software process. In order to measure the success of GIST, this paper proposes a general DSS multidimensional impact evaluation model, and reports on the results of an experiment where this model is validated in five of the companies that are currently using GIST. Results of the validation process confirm the overall success of GIST, but we also highlight several areas where companies need more support and are not entirely happy. The experiment also seems to indicate that the impact evaluation model proposed is an appropriate tool to measure the success of a DSS.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Bibliography
Boehm, B.W. (1981). Software Engineering Economics. Prentice-Hall, Englewood Cliffs.
Boehm, B.W. (2000). Unifying software engineering and systems engineering. IEEE Computer 33(3), 114–116.
Booch, G., J. Rumbaugh, and I. Jacobsen (1999). The Unified Modeling Language User Guide. Addison-Wesley, Reading.
Galvão Dias, T. (1995). Aplicação de Algoritmos Genéticos ao Problema da Geração de Serviços de Tripulações (Genetic Algorithms Applied to the Crew Scheduling Problem, in Portuguese). M.sc. thesis, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal.
Nunes, N.J. and J.F. Cunha (2000). Whitewater: Interactive system design with object models. In M. Harmelen and S. Wilson (Eds.), Object Oriented User Interface Design, Addison-Wesley, Reading.
Paixão, J.M.P. and M.V. Pato (1989). A structural Lagrangean relaxation for two duty period bus driver scheduling problems. European Journal of Operational Research 39, 213–222.
Paixão, J.P. (1983). Algorithms for Large Scale Set Covering Problems. Ph.D. thesis, Imperial College, London, UK.
Portugal, R. (1998). Metaheuristicas para a geração de serviços para o pessoal tripulante (Metaheuristics for the Bus Driver Scheduling Problem, in Portuguese). M.Sc. thesis, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal.
Rockart, J.F. (1979). Chief executives define their own data needs. Harvard Business Review 2(March-April), 81–93.
Rumbaugh, J., M. Blaha, W. Premerlani, F. Eddy, and W. Lorensen (1991). Object-Oriented Modeling and Design. PrenticeHall, Englewood Cliffs.
Woodward, S. (1999). Evolutionary project management. IEEE Computer 32(10), 49–57.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Galvão Dias, T., Vasconcelos Ferreira, J., Falcão e Cunha, J. (2001). Evaluating a DSS for Operational Planning in Public Transport Systems: Ten Years of Experience with the GIST System. In: Voß, S., Daduna, J.R. (eds) Computer-Aided Scheduling of Public Transport. Lecture Notes in Economics and Mathematical Systems, vol 505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-56423-9_10
Download citation
DOI: https://doi.org/10.1007/978-3-642-56423-9_10
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-42243-3
Online ISBN: 978-3-642-56423-9
eBook Packages: Springer Book Archive