SEM-PLS Analysis Approach in Identifying the Effective Residential Bikeway Design Factors
The study was conducted to investigate the impact of residential-bike environment influences cycling participation among resident. The underpinning theories used in the study were the Ecological Model of Active Living (EMAF) and the Theory of Routine Mode Choice Decision (TRMCD). A structured questi...
Gespeichert in:
Veröffentlicht in: | IOP conference series. Earth and environmental science 2019-11, Vol.385 (1), p.12053 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 1 |
container_start_page | 12053 |
container_title | IOP conference series. Earth and environmental science |
container_volume | 385 |
creator | Mohd Salleh, Mohd Zahid Malek, Nurhayati Abdul Othman, Noriah Mohammad, Siti Zabeda |
description | The study was conducted to investigate the impact of residential-bike environment influences cycling participation among resident. The underpinning theories used in the study were the Ecological Model of Active Living (EMAF) and the Theory of Routine Mode Choice Decision (TRMCD). A structured questionnaire online survey was employed by engaging two resident associations (RA) in City of Elmina that contributed, 242 respondents. The data was analysed using Smart PLS 3.2.6 to test a developed model through measurement model analysis and followed by a structural model analysis. This approach offers comprehensive, quantifiable and flexible causal-modelling capabilities in a multi-regression analysis for non-parametric data that run simultaneously. The measurement model analysis was archived the threshold values for all criteria such as reliability and validity test. The structural model analysis result showed that perception, preference and satisfaction have significant positive relationship with the bike-built environment directly. Besides, the bike-built environment and cycling participation among resident has significant positive relationship. The Coefficient Determination, R2 of the bike-built environment was substantial value with 33 percent while the cycling participation was 7.3 percent. The study confirmed that the residential-bike built environment has impact on the cycling participation among resident. |
doi_str_mv | 10.1088/1755-1315/385/1/012053 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2558172354</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2558172354</sourcerecordid><originalsourceid>FETCH-LOGICAL-c402t-395f71509c19f478fcd4e3e2b9c7259cf6eebc9d4d544025ede0815cb042bdcc3</originalsourceid><addsrcrecordid>eNqFkF1LwzAUhoMoOKd_QQLeeFObz7W9nLPTwURxeuFV6NKTLXO2temU_nszKxNB8Coh53lfTh6ETim5oCSOQxpJGVBOZchjGdKQUEYk30O93WB_dyfRITpybkXIIBI86aHnWXob3E9neFhk69ZZh4dVVZeZXmJb4EkORWNNa4sFbpaAU2NAN_Yd8AM4-zXM1vjSvsBH1uIr_7Yo8DjTTVm7Y3RgsrWDk--zj57G6ePoJpjeXU9Gw2mgBWFNwBNpIipJomliRBQbnQvgwOaJjphMtBkAzHWSi1wKH5CQA4mp1HMi2DzXmvfRWdfr137bgGvUqtzU_jdOMSljGjEuhacGHaXr0rkajKpq-5rVraJEbTWqrSG1taW8RkVVp9EHz7ugLauf5jSd_cJUlRuPsj_Qf_o_AdTngM0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2558172354</pqid></control><display><type>article</type><title>SEM-PLS Analysis Approach in Identifying the Effective Residential Bikeway Design Factors</title><source>IOP Publishing Free Content</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>IOPscience extra</source><creator>Mohd Salleh, Mohd Zahid ; Malek, Nurhayati Abdul ; Othman, Noriah ; Mohammad, Siti Zabeda</creator><creatorcontrib>Mohd Salleh, Mohd Zahid ; Malek, Nurhayati Abdul ; Othman, Noriah ; Mohammad, Siti Zabeda</creatorcontrib><description>The study was conducted to investigate the impact of residential-bike environment influences cycling participation among resident. The underpinning theories used in the study were the Ecological Model of Active Living (EMAF) and the Theory of Routine Mode Choice Decision (TRMCD). A structured questionnaire online survey was employed by engaging two resident associations (RA) in City of Elmina that contributed, 242 respondents. The data was analysed using Smart PLS 3.2.6 to test a developed model through measurement model analysis and followed by a structural model analysis. This approach offers comprehensive, quantifiable and flexible causal-modelling capabilities in a multi-regression analysis for non-parametric data that run simultaneously. The measurement model analysis was archived the threshold values for all criteria such as reliability and validity test. The structural model analysis result showed that perception, preference and satisfaction have significant positive relationship with the bike-built environment directly. Besides, the bike-built environment and cycling participation among resident has significant positive relationship. The Coefficient Determination, R2 of the bike-built environment was substantial value with 33 percent while the cycling participation was 7.3 percent. The study confirmed that the residential-bike built environment has impact on the cycling participation among resident.</description><identifier>ISSN: 1755-1307</identifier><identifier>EISSN: 1755-1315</identifier><identifier>DOI: 10.1088/1755-1315/385/1/012053</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Cycles ; Data analysis ; Decision theory ; Design factors ; Ecological models ; Environmental impact ; Modal choice ; Model testing ; Regression analysis ; Reliability analysis ; Structural models ; Urban environments</subject><ispartof>IOP conference series. Earth and environmental science, 2019-11, Vol.385 (1), p.12053</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c402t-395f71509c19f478fcd4e3e2b9c7259cf6eebc9d4d544025ede0815cb042bdcc3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1755-1315/385/1/012053/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,776,780,27903,27904,38847,38869,53818,53845</link.rule.ids></links><search><creatorcontrib>Mohd Salleh, Mohd Zahid</creatorcontrib><creatorcontrib>Malek, Nurhayati Abdul</creatorcontrib><creatorcontrib>Othman, Noriah</creatorcontrib><creatorcontrib>Mohammad, Siti Zabeda</creatorcontrib><title>SEM-PLS Analysis Approach in Identifying the Effective Residential Bikeway Design Factors</title><title>IOP conference series. Earth and environmental science</title><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><description>The study was conducted to investigate the impact of residential-bike environment influences cycling participation among resident. The underpinning theories used in the study were the Ecological Model of Active Living (EMAF) and the Theory of Routine Mode Choice Decision (TRMCD). A structured questionnaire online survey was employed by engaging two resident associations (RA) in City of Elmina that contributed, 242 respondents. The data was analysed using Smart PLS 3.2.6 to test a developed model through measurement model analysis and followed by a structural model analysis. This approach offers comprehensive, quantifiable and flexible causal-modelling capabilities in a multi-regression analysis for non-parametric data that run simultaneously. The measurement model analysis was archived the threshold values for all criteria such as reliability and validity test. The structural model analysis result showed that perception, preference and satisfaction have significant positive relationship with the bike-built environment directly. Besides, the bike-built environment and cycling participation among resident has significant positive relationship. The Coefficient Determination, R2 of the bike-built environment was substantial value with 33 percent while the cycling participation was 7.3 percent. The study confirmed that the residential-bike built environment has impact on the cycling participation among resident.</description><subject>Cycles</subject><subject>Data analysis</subject><subject>Decision theory</subject><subject>Design factors</subject><subject>Ecological models</subject><subject>Environmental impact</subject><subject>Modal choice</subject><subject>Model testing</subject><subject>Regression analysis</subject><subject>Reliability analysis</subject><subject>Structural models</subject><subject>Urban environments</subject><issn>1755-1307</issn><issn>1755-1315</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkF1LwzAUhoMoOKd_QQLeeFObz7W9nLPTwURxeuFV6NKTLXO2temU_nszKxNB8Coh53lfTh6ETim5oCSOQxpJGVBOZchjGdKQUEYk30O93WB_dyfRITpybkXIIBI86aHnWXob3E9neFhk69ZZh4dVVZeZXmJb4EkORWNNa4sFbpaAU2NAN_Yd8AM4-zXM1vjSvsBH1uIr_7Yo8DjTTVm7Y3RgsrWDk--zj57G6ePoJpjeXU9Gw2mgBWFNwBNpIipJomliRBQbnQvgwOaJjphMtBkAzHWSi1wKH5CQA4mp1HMi2DzXmvfRWdfr137bgGvUqtzU_jdOMSljGjEuhacGHaXr0rkajKpq-5rVraJEbTWqrSG1taW8RkVVp9EHz7ugLauf5jSd_cJUlRuPsj_Qf_o_AdTngM0</recordid><startdate>20191101</startdate><enddate>20191101</enddate><creator>Mohd Salleh, Mohd Zahid</creator><creator>Malek, Nurhayati Abdul</creator><creator>Othman, Noriah</creator><creator>Mohammad, Siti Zabeda</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>PATMY</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope></search><sort><creationdate>20191101</creationdate><title>SEM-PLS Analysis Approach in Identifying the Effective Residential Bikeway Design Factors</title><author>Mohd Salleh, Mohd Zahid ; Malek, Nurhayati Abdul ; Othman, Noriah ; Mohammad, Siti Zabeda</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c402t-395f71509c19f478fcd4e3e2b9c7259cf6eebc9d4d544025ede0815cb042bdcc3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Cycles</topic><topic>Data analysis</topic><topic>Decision theory</topic><topic>Design factors</topic><topic>Ecological models</topic><topic>Environmental impact</topic><topic>Modal choice</topic><topic>Model testing</topic><topic>Regression analysis</topic><topic>Reliability analysis</topic><topic>Structural models</topic><topic>Urban environments</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mohd Salleh, Mohd Zahid</creatorcontrib><creatorcontrib>Malek, Nurhayati Abdul</creatorcontrib><creatorcontrib>Othman, Noriah</creatorcontrib><creatorcontrib>Mohammad, Siti Zabeda</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Environmental Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><jtitle>IOP conference series. Earth and environmental science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mohd Salleh, Mohd Zahid</au><au>Malek, Nurhayati Abdul</au><au>Othman, Noriah</au><au>Mohammad, Siti Zabeda</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>SEM-PLS Analysis Approach in Identifying the Effective Residential Bikeway Design Factors</atitle><jtitle>IOP conference series. Earth and environmental science</jtitle><addtitle>IOP Conf. Ser.: Earth Environ. Sci</addtitle><date>2019-11-01</date><risdate>2019</risdate><volume>385</volume><issue>1</issue><spage>12053</spage><pages>12053-</pages><issn>1755-1307</issn><eissn>1755-1315</eissn><abstract>The study was conducted to investigate the impact of residential-bike environment influences cycling participation among resident. The underpinning theories used in the study were the Ecological Model of Active Living (EMAF) and the Theory of Routine Mode Choice Decision (TRMCD). A structured questionnaire online survey was employed by engaging two resident associations (RA) in City of Elmina that contributed, 242 respondents. The data was analysed using Smart PLS 3.2.6 to test a developed model through measurement model analysis and followed by a structural model analysis. This approach offers comprehensive, quantifiable and flexible causal-modelling capabilities in a multi-regression analysis for non-parametric data that run simultaneously. The measurement model analysis was archived the threshold values for all criteria such as reliability and validity test. The structural model analysis result showed that perception, preference and satisfaction have significant positive relationship with the bike-built environment directly. Besides, the bike-built environment and cycling participation among resident has significant positive relationship. The Coefficient Determination, R2 of the bike-built environment was substantial value with 33 percent while the cycling participation was 7.3 percent. The study confirmed that the residential-bike built environment has impact on the cycling participation among resident.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1755-1315/385/1/012053</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1755-1307 |
ispartof | IOP conference series. Earth and environmental science, 2019-11, Vol.385 (1), p.12053 |
issn | 1755-1307 1755-1315 |
language | eng |
recordid | cdi_proquest_journals_2558172354 |
source | IOP Publishing Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; IOPscience extra |
subjects | Cycles Data analysis Decision theory Design factors Ecological models Environmental impact Modal choice Model testing Regression analysis Reliability analysis Structural models Urban environments |
title | SEM-PLS Analysis Approach in Identifying the Effective Residential Bikeway Design Factors |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-23T15%3A41%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=SEM-PLS%20Analysis%20Approach%20in%20Identifying%20the%20Effective%20Residential%20Bikeway%20Design%20Factors&rft.jtitle=IOP%20conference%20series.%20Earth%20and%20environmental%20science&rft.au=Mohd%20Salleh,%20Mohd%20Zahid&rft.date=2019-11-01&rft.volume=385&rft.issue=1&rft.spage=12053&rft.pages=12053-&rft.issn=1755-1307&rft.eissn=1755-1315&rft_id=info:doi/10.1088/1755-1315/385/1/012053&rft_dat=%3Cproquest_cross%3E2558172354%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2558172354&rft_id=info:pmid/&rfr_iscdi=true |