Prediction Model of Citizens' Satisfaction in Urban Parks using Artificial Neural Network

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Khaleghpanah Reihaneh; JAHANI ALI; KHORASANI NEMATOLLAH; Goshtasb Hamid

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Journal of Natural Environment Year:2019 | Volume:72 | Issue:2 Page(s): 239-250

Download Full-Text

Persian Verion

View:

469

Download:

Cites:

Information Journal Paper

Title

Prediction Model of Citizens' Satisfaction in Urban Parks using Artificial Neural Network

Author(s)

Khaleghpanah Reihaneh | JAHANI ALI | KHORASANI NEMATOLLAH | Goshtasb Hamid | Issue Writer Certificate

Keywords

SatisfactionQ1

Urban parksQ1

Artificial neural networkQ2

Sensitivity analysisQ1

Abstract

Parks and green spaces are of the most important elements of cities. The design and function of Urban parks should be in line with the requirements of urban life and in response to the needs of citizens, as this can be used to create a healthy urban environment. The purpose of this research was to model the Satisfaction of Urban parks visitors using the Artificial neural network. In this study, a multi-layer perceptron network was used to process the data with the intelligent neural network tool. First, 103 Urban parks were selected in Karaj and Tehran, and information about regional, service and aesthetic variables was collected in all parks. Then, the collected data was considered as network input and the results of Satisfaction level assessment as network output. The value of determination coefficient (R2) in this study was 0. 72 which indicates the suitability of Artificial neural network for Satisfaction modeling in Urban parks. The results of Sensitivity analysis showed that variables of landscape quality, number of sports fields, food centers, and barbeque had the highest impact on Satisfaction of Urban parks. Therefore, in planning and managing public places such as urban green spaces, consideration of users' perceptions of the environment should be highlighted.

Cites

A Review of the Strategies and Policies for the Prevention and Control of the COVID-19 at Workplaces

References

No record.

Cite

APA: Copy

Khaleghpanah, Reihaneh, JAHANI, ALI, KHORASANI, NEMATOLLAH, & Goshtasb, Hamid. (2019). Prediction Model of Citizens' Satisfaction in Urban Parks using Artificial Neural Network. JOURNAL OF NATURAL ENVIRONMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), 72(2 ), 239-250. SID. https://sid.ir/paper/377101/en

Vancouver: Copy

Khaleghpanah Reihaneh, JAHANI ALI, KHORASANI NEMATOLLAH, Goshtasb Hamid. Prediction Model of Citizens' Satisfaction in Urban Parks using Artificial Neural Network. JOURNAL OF NATURAL ENVIRONMENT (IRANIAN JOURNAL OF NATURAL RESOURCES)[Internet]. 2019;72(2 ):239-250. Available from: https://sid.ir/paper/377101/en

IEEE: Copy

Reihaneh Khaleghpanah, ALI JAHANI, NEMATOLLAH KHORASANI, and Hamid Goshtasb, “Prediction Model of Citizens' Satisfaction in Urban Parks using Artificial Neural Network,” JOURNAL OF NATURAL ENVIRONMENT (IRANIAN JOURNAL OF NATURAL RESOURCES), vol. 72, no. 2 , pp. 239–250, 2019, [Online]. Available: https://sid.ir/paper/377101/en

Related Journal Papers