| |
| DOI: | 10.1016/j.ufug.2021.126976 |
|---|
| Web URL(s): | https://www.sciencedirect.com/science/article/pii/S1618866721000017
Last checked: 03/12/2021
Access conditions: Item is within a limited-access website
https://www.sciencedirect.com/science/article/pii/S1618866721000017/pdfft
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
|---|
| Publication Type:
| Refereed |
|---|
| Author(s): | Jiang, Bin;
He, Jibo;
Chen, Jielin;
Larsen, Linda |
|---|
| Author Affiliation: | Jiang: Virtual Reality Lab of Urban Environments and Human Health, HKUrbanlabs, Faculty of Architecture, The University of Hong Kong, Hong Kong and Division of Landscape Architecture, Department of Architecture, The University of Hong Kong, Hong Kong; He: Department of Psychology, Tsinghua University, China; Chen: Virtual Reality Lab of Urban Environments and Human Health, HKUrbanlabs, Faculty of Architecture, The University of Hong Kong, Hong Kong and Department of Architecture, National University of Singapore, Singapore; Larsen: Smart Energy Design Assistance Center, University of Illinois at Urbana-Champaign |
|---|
| Title: | Moderate is optimal: A simulated driving experiment reveals freeway landscape matters for driving performance |
|---|
| Source: | Urban Forestry & Urban Greening. Vol. 58, March 2021, p. 1-16. |
|---|
| Publishing Information: | Jena, Germany: Urban & Fischer |
|---|
| # of Pages: | 16 |
|---|
| Related Web URL: | https://www.sciencedirect.com/science/article/pii/S1618866721000017#abs0010
Last checked: 04/08/2021
Notes: Abstract only |
|---|
| Keywords: | Author-Supplied Keywords: Driving performance; Freeway landscape; Greenness; Copmlexity; Mental arousal; Mental restoation
|
|---|
| Abstract/Contents: | "Driving 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." |
|---|
| Language: | English |
|---|
| References: | 86 |
|---|
| Note: | "Article 126976"
Pictures, color
Figures
Tables
Graphs |
|---|
| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Jian, B., J. He, J. Chen, and L. Larsen. 2021. Moderate is optimal: A simulated driving experiment reveals freeway landscape matters for driving performance. Urban Forestry & Urban Greening. 58:p. 1-16. |
| Fastlink to access this record outside TGIF: https://tic.msu.edu/tgif/flink?recno=315623 |
| If there are problems with this record, send us feedback about record 315623. |
| Choices for finding the above item: |
|---|
| DOI: 10.1016/j.ufug.2021.126976 |
| Web URL(s):
https://www.sciencedirect.com/science/article/pii/S1618866721000017
Last checked: 03/12/2021
Access conditions: Item is within a limited-access website
https://www.sciencedirect.com/science/article/pii/S1618866721000017/pdfft
Requires: PDF Reader
Access conditions: Item is within a limited-access website |
| 
MSU catalog number: b5268048 |
| Find from within TIC:
Digitally in TIC by record number. |
| Request through your local library's inter-library loan service (bring or send a copy of this TGIF record) |
