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Spatial Analysis of the Proximity Effects of Land Use Planning on Housing Prices (Case Study: Tehran, Iran)

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Computational Science and Its Applications – ICCSA 2019 (ICCSA 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11621))

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Abstract

The concept of housing in the urban planning and economy of countries is very important because the highest percentage of urban usage is residential use, which today accounts for about 40% of land use in residential areas, while the highest percentage of household cost in developing countries such as Iran is According to economic studies, housing accounts for over 50% of household income. According to the results of this study, the research is of the applied type, considering the nature of the main approach to the current paper, is descriptive-analytical. According to the study area and the nature of the subject of the research, Quantitative methods and techniques (Geographical Weighting Regression Model). Several factors affect the price of housing is one of the factors, proximity to a variety of land use, which plays Has a key impact on housing prices. In TehranCity, Because of the combination of land use and special features that user this city, we have evaluated the effects of each application on housing prices. By identifying the effects of each type of usage on housing prices, it would be possible to find a way to plan for housing and housing economics in the city and to draw on future studies on this issue. Given that the topic of housing economics is an inclusive and interdisciplinary topic (politics, economics, management, geography, etc.), so this article further discusses the influence of geographic factors (types of uses) on housing prices. It was found that: green land-use and parks with R2/87, urban land-use services with R2/80, access to gardens and farmland with R2/36, and commercial and administrative Land-Use with R2/24 respectively, have the highest impact on housing prices in level city.

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Acknowledgments

Thanks to the organization from Iranian researchers and technicians for assistance and support in the preparation of this article: The Iranian National Science Foundation (INSF).

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Authors and Affiliations

  1. Tehran University, Tehran, Iran

    Amin Safdari Molan & Ebrahim Farhadi

Authors
  1. Amin Safdari Molan
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  2. Ebrahim Farhadi
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Corresponding author

Correspondence to Amin Safdari Molan .

Editor information

Editors and Affiliations

  1. Covenant University, Ota, Nigeria

    Sanjay Misra

  2. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  3. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Saint Petersburg State University, Saint Petersburg, Russia

    Vladimir Korkhov

  6. Polytechnic University of Bari, Bari, Italy

    Carmelo Torre

  7. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  8. Monash University, Clayton, VIC, Australia

    David Taniar

  9. Kyushu Sangyo University, Fukuoka, Japan

    Bernady O. Apduhan

  10. Polytechnic University of Bari, Bari, Italy

    Eufemia Tarantino

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Safdari Molan, A., Farhadi, E. (2019). Spatial Analysis of the Proximity Effects of Land Use Planning on Housing Prices (Case Study: Tehran, Iran). In: Misra, S., et al. Computational Science and Its Applications – ICCSA 2019. ICCSA 2019. Lecture Notes in Computer Science(), vol 11621. Springer, Cham. https://doi.org/10.1007/978-3-030-24302-9_46

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  • DOI: https://doi.org/10.1007/978-3-030-24302-9_46

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-24301-2

  • Online ISBN: 978-3-030-24302-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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