Skip to main content

Spatial Multicriteria Analysis Approach for Evaluation of Mobility Demand in Urban Areas

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10407))

Included in the following conference series:

Abstract

This work describes the municipalities of the province of Rome in terms of ISTAT economic data relating to the industry and to industrial production, employment, demographics and the demand for mobility as measured by the displacement flows. This matrix the rows of which are municipalities of a given province and columns the aforementioned variables, it applies factor analysis to identify the socio-economic profile of the territories from the distribution of the territories distributed in homogeneous areas identified on each factorial axis (municipal ranking of each factor), and no longer agglomerated by town. The result identifies homogenous areas within an assigned geographic region, regardless of the breakdown in municipality of the province.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Batty, M.: An activity allocation model for the Notts/Derby sub-region. Regional Stud. 4(3) (1970)

    Google Scholar 

  2. Broadbent, T.A.: Zone size and spatial interaction. Centre for Environmental Studies, Working Note 106 (1969)

    Google Scholar 

  3. Carroll, J.D., Bevis, H.W.: Predicting local travel in urban regions. In: Papers and Proceedings of Regional Science Association, vol. 3 (1957)

    Google Scholar 

  4. Hayes, C.: Retail location models. Centre for Environmental Studies, Working Paper 16 (1968)

    Google Scholar 

  5. Cripps, E.L. Limitations of the Gravity Concept, in Styles (1968)

    Google Scholar 

  6. Cripps, E.L., Carter, E. The empirical development of a disaggregated residential location model: some preliminary results. Urban Systems Research Unit, University of Reading, Working Paper 9 (1971)

    Google Scholar 

  7. Freeman, F.: Wilbur Smith and Association: London Traffic Survey, vol. II. Greater London Council (1966)

    Google Scholar 

  8. Hansen, W.G. How accessibility shapes land use. J. Am. Inst. Planners (1959). Maggio

    Google Scholar 

  9. Isard, W.: Methods of Regional Anaiysis. MIT Press, Cambridge (1960)

    Google Scholar 

  10. Lakshmanan, T.R., Hansen, W.G.: A retail market potential model. J. Am. Inst. Planners (1965). Maggio

    Google Scholar 

  11. Lewis, J.P.: The invasion of planning. J. Town Plan. Inst. (1970). Maggio

    Google Scholar 

  12. McLaughlin, J.B. et al.: Regional Shopping Centres in North West Englattd, Part 11. University of Manchester (1966)

    Google Scholar 

  13. Shcneider, M.: Gravity models and trip distribution theory. In: Papers and Proceeding of the Regional Science Associution, vol. 5 (1959)

    Google Scholar 

  14. Styles, B.J. (ed.): Gravity Models in Town Planning. Lanchester Polytechnic (1968)

    Google Scholar 

  15. Tanner, J.C.: Some factors affecting the amount of travel. Road Research Laboratory Paper No. 58 (1961)

    Google Scholar 

  16. Wilson, A.G.: The use of entropy maximising methods in the theory of trip distribution. J. Transp. Econ. Policy 3(1) (1969)

    Google Scholar 

  17. Hotelling, H.: Analysis of a complex of statistical variables into principal components. J. Educ. Pasychol. (1933)

    Google Scholar 

  18. Girshick, M.A.: Principal components. J. Am. Stat. Assoc. (1936)

    Google Scholar 

  19. Hotelling, H.: Simplified calculation of principal components. Psychometrika (1936)

    Google Scholar 

  20. Cusimano, G.: La metodologia statistica condizionata dell’analisi di più variabili. DELF-Palermo (1955)

    Google Scholar 

  21. Saddocchi, S.: Manuale di analisi statistica multivariata, F. Angeli (1980)

    Google Scholar 

  22. Wilson, A.G.: Disaggregating elementary residential models. Centre for Environmental Studies, Working Paper 37 (1969)

    Google Scholar 

  23. Wilson, A.G.: Entropy in urban and regional modelling. Centre for environmental studies, Working Paper 26 (1969)

    Google Scholar 

  24. Johnson, M.P.: A spatial decision support system prototype for housing mobility program planning. J. Geog. Syst. 3(1), 49–67 (2001)

    Article  MathSciNet  Google Scholar 

  25. Johnson, M.P.: Spatial decision support for assisted housing mobility counseling. Dec. Support Syst. 41(1), 296–312 (2005)

    Article  Google Scholar 

  26. Mazzei, M., Palma, A.: Comparative analysis of models of location and spatial interaction. ICCSA 4, 253–267 (2014)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Mauro Mazzei .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Mazzei, M., Palma, A.L. (2017). Spatial Multicriteria Analysis Approach for Evaluation of Mobility Demand in Urban Areas. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10407. Springer, Cham. https://doi.org/10.1007/978-3-319-62401-3_33

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-62401-3_33

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62400-6

  • Online ISBN: 978-3-319-62401-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics