<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Journal of Human Environment and Health Promotion</title>
<title_fa>مجله انسان، محیط زیست و ارتقاء سلامت</title_fa>
<short_title>jhehp</short_title>
<subject>Medical Sciences</subject>
<web_url>http://jhehp.zums.ac.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn>2476-5481</journal_id_issn>
<journal_id_issn_online>2476-549x</journal_id_issn_online>
<journal_id_pii></journal_id_pii>
<journal_id_doi>10.66224/jhehp</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid></journal_id_sid>
<journal_id_nlai></journal_id_nlai>
<journal_id_science></journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1398</year>
	<month>6</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2019</year>
	<month>9</month>
	<day>1</day>
</pubdate>
<volume>5</volume>
<number>3</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Accident Modeling in Small-scale Construction Projects Based on Artificial Neural Networks</title>
	<subject_fa>Occupational and Industrial Health</subject_fa>
	<subject>Occupational and Industrial Health</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Original Article</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;div style=&quot;text-align: justify;&quot;&gt;&lt;span style=&quot;font-size:14px;&quot;&gt;&lt;span style=&quot;font-family:times new roman;&quot;&gt;&lt;strong&gt;Background:&lt;/strong&gt; Several factors contribute to accidents in small-scale construction projects (SSCPs). The present study aimed to assess the influential factors in SSCP accidents and introduce a model to predict their frequency.&lt;br&gt;
&lt;strong&gt;Methods:&lt;/strong&gt; In total, 38 SSCPs were within the scope of this investigation. The safety index of accident frequency rate (AFR) causing 452 injury construction accidents during 12 years (2007-2018) was analyzed and modeled. Data analysis was performed based on feature selection using Pearson&amp;#39;s &amp;chi;&lt;sup&gt;2&lt;/sup&gt; coefficient and SPSS modeler, as well as the artificial neural networks (ANNs) in MATLAB software.&lt;br&gt;
&lt;strong&gt;Results:&lt;/strong&gt; Mean AFR was estimated at 26.32 &amp;plusmn; 14.83, and the results of both approaches revealed that individual factors, organizational factors, training factors, and risk management-related factors could predict the AFR involved in SSCPs.&lt;br&gt;
&lt;strong&gt;Conclusion:&lt;/strong&gt; The findings of this research could be reliably applied in the decision-making regarding safety and health construction issues. Furthermore, Pearson&amp;#39;s correlation-coefficient and ANN modeling are considered to be reliable tools for accident modeling in SSCPs.&lt;/span&gt;&lt;/span&gt;&lt;/div&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>Construction Projects,Accident,Modeling</keyword>
	<start_page>121</start_page>
	<end_page>126</end_page>
	<web_url>http://jhehp.zums.ac.ir/browse.php?a_code=A-10-275-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Behrouz</first_name>
	<middle_name></middle_name>
	<last_name>Alizadeh Savareh</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>behrouzalizadeh@gmail.com</email>
	<code>10031947532846009738</code>
	<orcid>10031947532846009738</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Medical Informatics, School of Management and Medical Education, Shahid Beheshti University of Medical Sciences, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Mohsen</first_name>
	<middle_name></middle_name>
	<last_name>Mahdinia</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>mohsen.mahdinia@yahoo.com</email>
	<code>10031947532846009739</code>
	<orcid>10031947532846009739</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Occupational Safety &amp; Health Engineering, Health School and Research Center for Environmental Pollutants, Qom University of Medical Sciences, Qom, Iran. </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Samira</first_name>
	<middle_name></middle_name>
	<last_name>Ghiyasi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>s.ghiasi@iauctb.ac.ir</email>
	<code>10031947532846009740</code>
	<orcid>10031947532846009740</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Environmental Engineering, Central Tehran Branch, Islamic Azad University, Tehran, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Jamshid</first_name>
	<middle_name></middle_name>
	<last_name>Rahimi</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>rahimij@gmail.com</email>
	<code>10031947532846009741</code>
	<orcid>10031947532846009741</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Occupational Safety &amp; Health Engineering, Health School, Alborz University of Medical Sciences, Karaj, Iran.</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Ahmad</first_name>
	<middle_name></middle_name>
	<last_name>Soltanzadeh</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>soltanzadeh.ahmad@gmail.com</email>
	<code>10031947532846009742</code>
	<orcid>0000000269761276</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation> Department of Occupational Safety &amp; Health Engineering, Health School and Research Center for Environmental Pollutants, Qom University of Medical Sciences, Qom, Iran. </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
