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International Conference on Computational Science and Its Applications

ICCSA 2019: Computational Science and Its Applications – ICCSA 2019 pp 660–674Cite as

Providing a Livable Housing Development Model for Increasing Urban Livability (Case Study of Tehran)

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

Abstract

In the century 21 with the rapid rise of urbanization and the increase in urban populations its necessary to supplying and increasing good quality and conditions of the living in housing. One of the new ideas is urban planning for better housing and affordable transport access, with an emphasis on urban livability. Urban livability is a modern approach to urban planning that can respond to many urban problems. Any type of travel in the city is transferred from one housing to another land use and will end in housing. For that matter in the city’s housing and neighborhoods and access to activities and housing must be combined with the indicators of livability, so in this article is present to create the best pattern or method of access to housing for all male groups, with emphasis on three elements of housing and transportation and urban livability. The method of this research descriptive-survey. Using previous studies and researches, a paired matrix questionnaire was designed that after confirming the validity of several experts, 50 questionnaires were sent to experts and experts, and 43 questionnaires were collected and after calculating the adaptive ratio, the analysis was carried out. Data were obtained. Library information (books, articles, archives, etc.) and field (distribution of questionnaires) have been used for data collection. Research results from the questionnaire indicate that most respondents have affordable housing in transport access and communication and urban transport network as the most important alternative to improving urban transport as well as housing livability. Urban transport, urban livability, and urban health, on the other hand, in the next step, have modern transportation, quality, and affordable transport and access to services with very little difference. The results indicate that they are in the third and fourth positions, and the rest in the next positions, they are effective in improving housing and urban transport livability.

This article is part of Ph.D. Dissertation Amin Safdari Molan at University of Tehran under the title “Pattern of housing development with urban livability approach in the city of Tehran”.

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Notes

  1. 1.

    Cheng et al. [46].

  2. 2.

    Hadi-Vencheh and Mirjaberi [18], Cheng et al. [46].

  3. 3.

    Weighted Sum Vector.

  4. 4.

    Consistency Vector.

  5. 5.

    Consistency Index.

  6. 6.

    Random Index.

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Acknowledgments

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

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Authors and Affiliations

  1. Department of Geography, University of Tehran, Tehran, Iran

    Amin Safdari Molan, Keramatollah Ziari, Ahmad Pourahmad & Hossein Hataminejad

Authors
  1. Amin Safdari Molan
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  2. Keramatollah Ziari
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  3. Ahmad Pourahmad
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  4. Hossein Hataminejad
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Corresponding author

Correspondence to Keramatollah Ziari .

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., Ziari, K., Pourahmad, A., Hataminejad, H. (2019). Providing a Livable Housing Development Model for Increasing Urban Livability (Case Study of Tehran). 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_47

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