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Selection of the most adequate trip-modelling tool for integrated transport planning system

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper deals with the problem of selection the most suitable trip-modelling tool (TMT), which is a part of the more complex integrated transport planning system (ITPS) at the regional scale. Since an application of TMT is not autonomous and several different users exist the selection problem is not a trivial. In this paper, an original five-phase selection procedure is presented. The first phase consists in specification of both, detailed expectations of all identified users and technical requirements of ITPS. Second phase deals with research on available TMT while a third one is concentrated on defining a comprehensive set of criteria. In this phase critical criteria as well as selection criteria are defined. First one is utilised to eliminate unacceptable TMTs in phase four and second one to evaluate and select most adequate TMT in phase five. In the paper an exemplary application of this procedure is presented. The authors have defined 2 critical criteria and a set of 19 selection criteria. The last one is divided into 3 main subsets, i.e. functional, technical and financial contexts of selection process. All the selection criteria are characterised by 43 sub-criteria and some of them are more detailed extended. Using this procedure 3 out of 6 alternative TMTs including Emme, Aimsun and Visum have been initially accepted and next evaluated. Finally, Visum has been selected and recommended for application into ITPS.
Rocznik
Strony
55--66
Opis fizyczny
Bibliogr. 17 poz., rys., tab.
Twórcy
autor
  • Poznan University of Technology, Division of Transport System, Poznan, Poland
autor
  • Poznan University of Technology, Division of Transport System, Poznan, Poland
autor
  • Poznan University of Technology, Division of Transport System, Poznan, Poland
Bibliografia
  • [1] AYAĞ, Z. and ÖZDEMİR, R.G., 2007. An intelligent approach to ERP software selection through fuzzy ANP. International Journal of Production Research, 45(10), pp. 2169–2194.
  • [2] BANDOR, M.S., 2006. Quantitative methods for software selection and evaluation. Technical Note CMU/SEI-2006-TN-026, Carnegie Mellon University.
  • [3] BIEŃCZAK, M., FIEREK S., KICIŃSKI M., KWAŚNIKOWSKI, J. and SAWICKI, P., 2015a. Planowanie zrównoważonego rozwoju transportu publicznego w oparciu o regionalny model podróży. Prace Naukowe Politechniki Warszawskiej: Transport, 105, pp. 5-20.
  • [4] BIEŃCZAK, M., GAWRON, P., KICIŃSKI, M. and KWAŚNIKOWSKI, J., 2015b. Zrównoważone planowanie publicznego transportu zbiorowego w ramach jednostek terytorialnych. Spójna metodyka oparta na metodach optymalizacji. Logistyka, 4, pp. 90-98.
  • [5] DOWLING, R., SKABARDONIS, A. and ALEXIADIS, V., 2004. Traffic analysis toolbox Volume III: Guidelines for applying traffic microsimulation modeling software. http://trid.trb.org/view.aspx?id=794930#.VswgpWybBqk.mendeley.
  • [6] DOWNLING R., HOLLAND J. and HUANG A., 2002. Guidelines for applying traffic microsimulation modelling software. California Department of Transportation. Dowling Associates, Inc.
  • [7] FIEREK, S., BIEŃCZAK, M., KICIŃSKI, M., SAWICKI, P., JAKUBEK, A. and ZMUDATRZEBIATOWSKI, P., 2015. Metodologia dla cyklu badań i projektów w zakresie transportu publicznego w regionie łódzkim, ze szczególnym uwzględnieniem transportu kolejowego, jako transportu niskoemisyjnego, dla potrzeb aplikacji w ramach RPO WŁ perspektywy 2014-2020. Dokument metodyczny i założenia do funkcjonowania systemu informatycznego. 05/51/PRJG/3399, Poznań.
  • [8] LAI, V. S., WONG, B. K. and CHEUNG, W., 2002. Group decision making in a multiple criteria environment: A case using the AHP in software selection. European Journal of Operational Research, 137(1), pp.134-144.
  • [9] LAI, V.S., TRUEBLOOD, R.P. and WONG, B.K., 1999. Software selection: a case study of the application of the analytical hierarchical process to the selection of a multimedia authoring system. Information & Management, 36(4), pp. 221-232.
  • [10] LEE D.H. (ed.), 2004. Urban and regional transportation modelling. New dimensions in networks. Edward Elgar Publishing Ltd, Northampton, MA, USA.
  • [11] MACIEJEWSKI, M., 2010. A comparison of microscopic traffic flow simulation systems for an urban area. Problemy Transportu, 5, pp. 27-38.
  • [12] MARR, B. and NEELY, A., 2003. Automating the balanced scorecard - selection criteria to identify appropriate software applications. Measuring Business Excellence, 7(3), pp. 29-36.
  • [13] PANORAMA CONSULTING SOLUTIONS, 2016. ERP software selection. http://panoramaconsulting. com/services/erpsoftware_selection/ [23.02.2016].
  • [14] SAI, V., 2004. COTS acquisition evaluation Process: Preacher’s practice. CMU/SEI-2004-TN-001, ADA421675. Pittsburgh, PA: Software Engineering Institute, Carnegie Mellon University, 2004 (http://www.sei.cmu.edu/publications/documents/04.reports/04tn001.html [23.02.2016].
  • [15] SEJM RP, 2011. Ustawa z dnia 16 grudnia 2010r. o publicznym transporcie zbiorowym (Public Transport Act). Dz.U. 2011 nr 5 poz.13.
  • [16] SPENCER, B. and JOHNSTON R., 2014. Best practice steps to software selection. EVP K2 Enterprises,http://www.accountingsoftwareworld.com/articles-white-papers/selection-steps [23.02.2016].
  • [17] YAZGAN, H.R., BORAN, S. and GOZTEPE, K., 2009. An ERP software selection process with using artificial neural network based on analytic network process approach. Expert Systems with Applications, 36(5), pp. 9214-9222.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ef65ea7a-f36e-4f7b-a4f0-1d71d00aa415
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