Providing an Optimal Housing and Transportation Pattern for Increasing Urban Viability Using Fuzzy Multi-criteria Decision Making (Case Study of Tehran)

Document Type : Original Article

Authors

1 university of tehran

2 null

3 DEPARTMENT OF GEOGRAPHY, UNI OF TEHRAN

4 Human Geography, Faculty of Geography, University of Tehran, Tehran, Iran.

Abstract

so in this An article is presented to create the best pattern or method of access to shelter housing for all male groups, with emphasis on three elements of housing and transportation and urban viability. The method of this research is applied in terms of purpose and in terms of collecting data, 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 and housing. Urban and urban transport, urban viability and urban health, on the other hand, in the next step, have the modernity and efficiency of the urban transportation system, the quality and affordability of transport and the communication network and access services with very little difference The results indicate that they are in the third and fourth positions, and the rest in the next positions, each in the same place They are effective in improving urban transport.

Keywords

References

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Geography and Human Relationships
Volume 4, Issue 3 - Serial Number 15
December 2021
Pages 65-79

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History

  • Receive Date: 26 December 2018
  • Revise Date: 09 August 2021
  • Accept Date: 10 January 2022

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