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Article: Moderate is optimal: A simulated driving experiment reveals freeway landscape matters for driving performance

TitleModerate is optimal: A simulated driving experiment reveals freeway landscape matters for driving performance
Authors
KeywordsDriving performance
Freeway landscape
Greenness
Complexity
Mental arousal
Mental restoration
Issue Date2021
PublisherElsevier GmbH - Urban und Fischer. The Journal's web site is located at http://www.elsevier.com/locate/ufug
Citation
Urban Forestry & Urban Greening, 2021, v. 58, article no. 126976 How to Cite?
AbstractDriving on freeways is a daily activity across the world. Poor driving performance on freeways can cause severe injuries and deaths. However, few studies have examined whether and to what extent different types of freeway landscapes influence driving performance. A simulated driving task was designed to measure the impacts of six types of freeway landscape on 33 participants’ driving performance. Each participant completed a driving experiment with six blocks of 90-minute driving sessions in a random sequence. During the experiment, participants’ driving performance was measured through eight parameters. A set of repeated-measure one-way ANOVA analyses show that landscapes with three-dimensional branch and foliage (shrub & tree) were generally more beneficial for driving performance than barren (concrete-paved ground) or low green landscape conditions (turf). Furthermore, a repeated-measure two-way ANOVA analysis of four conditions with vertical green foliage (two shrub and two tree conditions) showed moderate levels of greenness and complexity are optimal for driving performance.
Persistent Identifierhttp://hdl.handle.net/10722/309369
ISSN
2023 Impact Factor: 6.0
2023 SCImago Journal Rankings: 1.619
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorJiang, B-
dc.contributor.authorHe, J-
dc.contributor.authorChen, J-
dc.contributor.authorLarsen, L-
dc.date.accessioned2021-12-29T02:14:07Z-
dc.date.available2021-12-29T02:14:07Z-
dc.date.issued2021-
dc.identifier.citationUrban Forestry & Urban Greening, 2021, v. 58, article no. 126976-
dc.identifier.issn1618-8667-
dc.identifier.urihttp://hdl.handle.net/10722/309369-
dc.description.abstractDriving on freeways is a daily activity across the world. Poor driving performance on freeways can cause severe injuries and deaths. However, few studies have examined whether and to what extent different types of freeway landscapes influence driving performance. A simulated driving task was designed to measure the impacts of six types of freeway landscape on 33 participants’ driving performance. Each participant completed a driving experiment with six blocks of 90-minute driving sessions in a random sequence. During the experiment, participants’ driving performance was measured through eight parameters. A set of repeated-measure one-way ANOVA analyses show that landscapes with three-dimensional branch and foliage (shrub & tree) were generally more beneficial for driving performance than barren (concrete-paved ground) or low green landscape conditions (turf). Furthermore, a repeated-measure two-way ANOVA analysis of four conditions with vertical green foliage (two shrub and two tree conditions) showed moderate levels of greenness and complexity are optimal for driving performance.-
dc.languageeng-
dc.publisherElsevier GmbH - Urban und Fischer. The Journal's web site is located at http://www.elsevier.com/locate/ufug-
dc.relation.ispartofUrban Forestry & Urban Greening-
dc.subjectDriving performance-
dc.subjectFreeway landscape-
dc.subjectGreenness-
dc.subjectComplexity-
dc.subjectMental arousal-
dc.subjectMental restoration-
dc.titleModerate is optimal: A simulated driving experiment reveals freeway landscape matters for driving performance-
dc.typeArticle-
dc.identifier.emailJiang, B: jiangbin@hku.hk-
dc.identifier.authorityJiang, B=rp01942-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.ufug.2021.126976-
dc.identifier.scopuseid_2-s2.0-85100051068-
dc.identifier.hkuros331321-
dc.identifier.volume58-
dc.identifier.spagearticle no. 126976-
dc.identifier.epagearticle no. 126976-
dc.identifier.isiWOS:000620652800004-
dc.publisher.placeGermany-

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