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Urban Development as a Continuum: A Multinomial Logistic Regression Approach

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Computational Science and Its Applications -- ICCSA 2015 (ICCSA 2015)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9157))

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Abstract

Urban development is a complex process influenced by a number of driving forces, including spatial planning, topography and urban economics. Identifying these drivers is crucial for the regulation of urban development and the calibration of predictive models. Existing land-use models generally consider urban development as a binary process, through the identification of built versus non-built areas. This study considers urban development as a continuum, characterized by different level of densities, which can be related to different driving forces.

A multinomial logistic regression model was employed to investigate the effects of drivers on different urban densities during the past decade in Wallonia, Belgium. Sixteen drivers were selected from sets of driving forces including accessibility, geo-physical features, policies and socio-economic factors.

It appears that urban development in Wallonia is remarkably influenced by land-use policies and accessibility. Most importantly, our results highlight that the impact of different drivers varies along with urban density.

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Authors and Affiliations

  1. LEMA, University of Liège, Liège, Belgium

    Ahmed M Mustafa, Mario Cools, Ismail Saadi & Jacques Teller

Authors
  1. Ahmed M Mustafa
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  2. Mario Cools
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  3. Ismail Saadi
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  4. Jacques Teller
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Corresponding author

Correspondence to Ahmed M Mustafa .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Canaanland, Nigeria

    Sanjay Misra

  4. University of Calgary, Calgary, Alberta, Canada

    Marina L. Gavrilova

  5. University of Minho, Braga, Portugal

    Ana Maria Alves Coutinho Rocha

  6. Polytechnic University, Bari, Italy

    Carmelo Torre

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

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Mustafa, A.M., Cools, M., Saadi, I., Teller, J. (2015). Urban Development as a Continuum: A Multinomial Logistic Regression Approach. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9157. Springer, Cham. https://doi.org/10.1007/978-3-319-21470-2_53

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  • DOI: https://doi.org/10.1007/978-3-319-21470-2_53

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21469-6

  • Online ISBN: 978-3-319-21470-2

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