Associations of built environment attributes with bicycle use for transport/ (Record no. 14888)
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| fixed length control field | 02651nab a2200265 4500 |
| 005 - DATE & TIME | |
| control field | 20231007113940.0 |
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| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Koohsari, Mohammad Javad |
| 245 ## - TITLE STATEMENT | |
| Title | Associations of built environment attributes with bicycle use for transport/ |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc | Sage, |
| Date of publication, distribution, etc | 2020. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Pages | Vol. 47, Issue 9, 2020, ( 1745–1757 p.) |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | An increasing number of studies have examined neighbourhood built environment attributes associated with cycling. Some of them suggest non-linear relationships between built environment attributes and cycling. This study examined the strength and shape of associations of cycling for transport with objectively measured built environment attributes. Data were from 9146 Australian adults who took part in the 2009 South-East Queensland Travel Survey. Participants (aged 18–64 years) completed a 24-hour travel survey, in which they reported modes of travel. Residential density, Walk Score and a Space Syntax measure of street integration were calculated at a neighbourhood level using geographic information systems. Multilevel logistic regression analyses examined associations of bicycle use with each built environment attribute, which was modelled continuously and categorically. All continuous measures of the built environment attributes were associated with bicycle use. Each one-decile increment in residential density, Walk Score, and street integration was associated with 13%, 16%, and 10% higher odds of bicycle use, respectively. However, the associations appeared to be non-linear, with significant odds ratios observed only for the higher categories of each built environment attribute relative to the middle category. This study found that adults living in high-density neighbourhoods with more destinations nearby and well-connected streets were more likely to cycle for transport. However, medium-level density, access to destinations and street connectivity may not be enough to facilitate bicycle use. Further studies are needed to investigate urban design threshold values above which cycling can be promoted. |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Cole, Rachel |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Oka, Koichiro |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Shibata, Ai |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Yasunaga, Akitomo |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Hanibuchi, Tomoya |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Owen, Neville |
| 700 ## - Added Entry Personal Name | |
| Added Entry Personal Name | Sugiyama, Takemi |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 8876 |
| Host Itemnumber | 17104 |
| Place, publisher, and date of publication | London Pion Ltd. 2010 |
| Title | Environment and planning B: planning and design (Urban Analytics and City Science) |
| International Standard Serial Number | 1472-3417 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://doi.org/10.1177/2399808319845006 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | E-Journal |
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