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<!DOCTYPE ArticleSet PUBLIC "-//NLM//DTD PubMed 2.7//EN" "https://dtd.nlm.nih.gov/ncbi/pubmed/in/PubMed.dtd">
<ArticleSet>
<Article>
<Journal>
				<PublisherName>The Physics Society of Iran</PublisherName>
				<JournalTitle>Iranian Journal of Physics Research</JournalTitle>
				<Issn>1682-6957</Issn>
				<Volume>17</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2019</Year>
					<Month>11</Month>
					<Day>26</Day>
				</PubDate>
			</Journal>
<ArticleTitle>A Probe into the Mobility Pattern of Taxis in the City of Isfahan</ArticleTitle>
<VernacularTitle>A Probe into the Mobility Pattern of Taxis in the City of Isfahan</VernacularTitle>
			<FirstPage>73</FirstPage>
			<LastPage>80</LastPage>
			<ELocationID EIdType="pii">1235</ELocationID>
			
<ELocationID EIdType="doi">10.18869/acadpub.ijpr.17.1.73</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Meisam</FirstName>
					<LastName>Akbarzadeh</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>SyedSina</FirstName>
					<LastName>Mohri</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2019</Year>
					<Month>11</Month>
					<Day>26</Day>
				</PubDate>
			</History>
		<Abstract>This paper aims to explore the human mobility pattern by using taxi positioning data in the city of ‎Isfahan. Results show that Lognormal yields the most suitable fit to the data at hand which has ‎been collected from 53000 records throughout Isfahan in a week. Power law did not show ‎acceptable performance and exponential function did not function as good as Lognormal. It was ‎also shown that transportation hierarchy does not sufficiently explain the human mobility pattern. ‎The trip lengths are shown to be 5 and 7 kilometers for working days and holidays respectively. ‎Peak hour trip length distribution function shows lower mean, standard deviation, skewness, and ‎kurtosis compared to the whole day figures.‎</Abstract>
			<OtherAbstract Language="FA">This paper aims to explore the human mobility pattern by using taxi positioning data in the city of ‎Isfahan. Results show that Lognormal yields the most suitable fit to the data at hand which has ‎been collected from 53000 records throughout Isfahan in a week. Power law did not show ‎acceptable performance and exponential function did not function as good as Lognormal. It was ‎also shown that transportation hierarchy does not sufficiently explain the human mobility pattern. ‎The trip lengths are shown to be 5 and 7 kilometers for working days and holidays respectively. ‎Peak hour trip length distribution function shows lower mean, standard deviation, skewness, and ‎kurtosis compared to the whole day figures.‎</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Mobility Pattern</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Distribution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Peak Hour</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Lognormal Distribution</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ijpr.iut.ac.ir/article_1235_9996535e07258a7bbfd8b132435c5962.pdf</ArchiveCopySource>
</Article>
</ArticleSet>
