Skip to main content
Log in

A Geospatial Decision Meta-Model for Heterogeneous Model Management: A Regional Transportation Planning Case Study

  • Research Article - Computer Engineering and Computer Science
  • Published:
Arabian Journal for Science and Engineering Aims and scope Submit manuscript

Abstract

Many geospatial decision models exist for city-wide decision-making processes. Because of the heterogeneous characteristic of the models, it is challenging to share and reuse the decision models. To facilitate model sharing and reuse among organizations while considering the management of a distributed regional transportation planning model management system, this study proposes a geospatial decision meta-model to describe geospatial decision models in a unified way and discusses the development of five basic metadata components. The study also entails the design of the eleven-tuple model information description structure and an extension of the discrepant information of diverse decision models. A prototype system, the GeoDecisionModelManager, is designed and implemented to provide a common tool for modelling, registering, discovering and executing decision models described by the meta-model. A regional transportation planning scenario is used to test the versatility of the proposed meta-model and the applicability of the model’s formal expression based on the eleven-tuple metadata framework, which incorporates different geospatial decision models from various organizations and applies them in a distributed environment. The results show that the proposed meta-model is applicable for modelling and managing various sources of geospatial decision models and that it facilitates model discovering, sharing and reuse in a distributed environment.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Al-Hader, Mahmoud; et al.: SOA of smart city geospatial management. In: Third UKSim European Symposium on Computer Modeling and Simulation, 2009. EMS’09. IEEE (2009)

  2. Ye X., Wei Y.D.: Geospatial analysis of regional development in China: the case of Zhejiang Province and the Wenzhou model. Eurasian Geogr. Econo. 46(6), 445–464 (2005)

    Article  Google Scholar 

  3. Granell C., DiAz L., Gould M.: Service-oriented applications for environmental models: Reusable geospatial services. Environ Modell Softw. 25(2), 182–198 (2010)

    Article  Google Scholar 

  4. Nouri J., Gharagozlou A. et al.: Predicting urban land use changes using a CA–Markov model. Arab. J. Sci. Eng. 39(7), 5565–5573 (2014)

    Article  Google Scholar 

  5. Kumar S., Thirumalaivasan D., Radhakrishnan N.: GIS based assessment of groundwater vulnerability using Drastic model. Arab. J. Sci. Eng. 39(1), 207–216 (2014)

    Article  Google Scholar 

  6. Zegras C., Sussman J., Conklin C.: Scenario planning for strategic regional transportation planning. J. Urban Plan. Dev. 130(1), 2–13 (2004)

    Article  Google Scholar 

  7. Magnanti T.L., Wong R.T.: Network design and transportation planning: models and algorithms. Transp. Sci. 18(1), 1–55 (1984)

    Article  Google Scholar 

  8. Hanson S., Giuliano G.: The Geography of Urban Transportation. Guilford Press, New York (2004)

    Google Scholar 

  9. Geoffrion A.M.: The SML language for structured modeling: levels 1 and 2. Oper Res. 40(1), 38–57 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  10. Geoffrion A.M.: The SML language for structured modeling: levels 3 and 4. Oper. Res. 40(1), 58–75 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  11. Jian M.: An object-oriented framework for model management. Decis. Support Syst. 13, 133–139 (1995)

    Article  Google Scholar 

  12. Lazimy, R.: Object-oriented modeling support system: model representation and incremental modeling. In: Hawaii International Conference on System Science, pp. 445–459. Western Periodicals Company (1993)

  13. Lenard, M.L.: An object-oriented approach to model management. In: Proceedings of the 20th Annual Hawaii International Conference on System Science. Western Periodicals Company, North Hollywood California (1987)

  14. Lenard, M.L.: Representing models as data. In: Nineteenth Hawaii International Conference on System Science, pp. 389–396. Western Periodicals Company (1986)

  15. Dolk D.R.: Model management and structured modeling: the role of an information resource dictionary system. Commun. ACM 31(6), 704–718 (1988)

    Article  Google Scholar 

  16. Hong, S.N.; Mannino, M.V.; Greenberg, B.S.: Inheritance and instantiation inmodelmanagement. In: Proceedings of the Twenty-Third Annual Hawaii International Conference on System Sciences, vol. 3, pp. 424–432. IEEE, Kailua-Kona (1990)

  17. El-Gayar O., Tandekar K.: An XML-based schema definition for model sharing and reuse in a distributed environment. Decis. Support Syst. 43(3), 791–808 (2007)

    Article  Google Scholar 

  18. Bhrammanee T., Wuwongse V.: ODDM: a framework for modelbases. Decis. Support Syst. 44(3), 689–709 (2008)

    Article  Google Scholar 

  19. Andrienko G., Andrienko N., Andrienko N. et al.: Space, time and visual analytics. Int. J. Geogr. Inf. Sci. 24(10), 1577–1600 (2010)

  20. Friis-Christensen A., Ostländer N., Lutz M., Bernard L.: Designing service architectures for distributed geoprocessing: challenges and future directions. Trans. GIS 11(6), 799–818 (2007)

    Article  Google Scholar 

  21. Granell, C.; Diaz, L.; Gould, M.: Geospatial web service integration and mashups for water resource applications. In: Proceedings of the XXI Congress of the International Society for Photogrammetry and Remote Sensing (ISPRS 2008), pp. 661–666 (2008)

  22. El-Gayar O., Deokar A.: A semantic service-oriented architecture for distributed model management systems. Decis. Support Syst. 55(1), 374–384 (2013)

    Article  Google Scholar 

  23. Madhusudan T.: A web services framework for distributed model management. Inf. Syst. Front. 9(1), 9–27 (2007)

    Article  Google Scholar 

  24. Zhao P., Foerster T., Yue P.: The geoprocessing web. Comput. Geosci. UK 47, 3–12 (2012)

    Article  Google Scholar 

  25. Bose, R.; Sugumaran, V.: SemanticWeb Technologies for Enhancing Intelligent DSS Environments. Decision Support for Global Enterprises. pp. 221–238. Springer, US (2007)

  26. Jung C.-T., Sun C.-H., Yuan M.: An ontology-enabled framework for a geospatial problem-solving environment. Comput. Environ. Urben Syst. 38, 45–57 (2013)

    Article  Google Scholar 

  27. Bascetin A.: A decision support system using analytical hierarchy process (AHP) for the optimal environmental reclamation of an open pit mine. Environ. Geol. 52(4), 663–672 (2007)

    Article  Google Scholar 

  28. Bascetin A., Öztas A., Kanlı A.: EQS: A Computer Software Using Fuzzy Logic for Equipment Selection in Mining Engineering. J. S. Afr. Inst. Min. Metall. 106(1), 63–70 (2006)

    Google Scholar 

  29. Ross, M.J.; Rugh, W.J.: Interactive mathematics on the Web: MathML for signals and systems demonstrations. In: Proceedings of the 2003 American Control Conference, vol. 1(6), pp. 706–709 (2003)

  30. Guidolin, M.; Lastovetsky, A.: ADL: an algorithm definition language for SmartGridSolve. In: Proceedings of 9th IEEE/ACM International Conference on Grid Computing, pp. 322–327 (2008)

  31. Curbera F., Duftler M. et al.: Unraveling the web services web-an introduction to SOAP, WSDL, and UDDI. IEEE Internet Comput. 6(2), 86–93 (2002)

    Article  Google Scholar 

  32. Duan, L.; Liu, S.J.; et al.: A BPEL4WS-based composite service modeling solution in manufacturing grid. In: Proceedings of 2006 IEEE AsiaPacific Conference on Services Computing, pp. 405–410 (2006)

  33. Geller, G.N.; Turner, W.: The model web: a concept for ecological forecasting. In: IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2007, pp. 2469–2472. IEEE (2007)

  34. Geller G.N., Melton F.: Looking forward: applying an ecological model web to assess impacts of climate change. Biodiversity 9(3-4), 79–83 (2008)

    Article  Google Scholar 

  35. Dubois, G.; Skøien, J.O.; et al.: eHabitat: a contribution to the model web for habitat assessments and ecological forecasting. In: Proceedings of the 34th International Symposium on Remote Sensing of Environment. 10–15 April (2011)

  36. Skøien J.O., Schulz M. et al.: A Model Web approach to modelling climate change in biomes of Important Bird Areas. Ecol Inform. 14, 38–43 (2013)

    Article  Google Scholar 

  37. Visconti, M.; Cook, C.R.: A Meta-Model Framework for Software Process Modeling. Product Focused Software Process Improvement. pp. 532–545. Springer, Berlin (2007)

  38. Granell C., DiAz L. et al.: Enhancing integrated environmental modelling by designing resource-oriented interfaces. Environ. Modell. Softw. 39, 229–246 (2013)

    Article  Google Scholar 

  39. Atkinson C., Kuhne T.: Model-driven development: a meta modeling foundation. IEEE Softw. 20(5), 36–41 (2003)

    Article  Google Scholar 

  40. Chen N., Di L. et al.: Use of ebRIM-based CSW with sensor observation services for registry and discovery of remote-sensing observations. Comput. Geosci. UK 35, 360–372 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chao Wang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, W., Li, P., Chen, N. et al. A Geospatial Decision Meta-Model for Heterogeneous Model Management: A Regional Transportation Planning Case Study. Arab J Sci Eng 41, 1077–1090 (2016). https://doi.org/10.1007/s13369-015-1967-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13369-015-1967-4

Keywords

Navigation