eprintid: 1505643
rev_number: 36
eprint_status: archive
userid: 608
dir: disk0/01/50/56/43
datestamp: 2016-07-24 17:25:32
lastmod: 2022-01-03 23:56:27
status_changed: 2017-03-03 15:18:57
type: proceedings_section
metadata_visibility: show
creators_name: Stockton, JC
creators_name: Duke-Williams, O
creators_name: Stamatakis, E
creators_name: Brunner, EJ
creators_name: Mindell, JS
creators_name: Shelton, NJ
title: A novel walkability index for London predicts walking time in adults
ispublished: pub
divisions: UCL
divisions: B02
divisions: D12
divisions: G19
divisions: B03
divisions: C01
divisions: F15
abstract: Objective: To develop a novel walkability index for London and test it through measurement of associations between neighbourhood walkability and walking among adults using data from the Whitehall II Study. Background: Physical activity is essential for health; walking is the easiest way to incorporate it into everyday life. Many studies have reported positive associations between neighbourhood walkability and walking but the majority have focused on cities in North America and Australasia. Urban form with respect to street connectivity, residential density and land use mix – common components of walkability indices – is likely to differ in European cities. Methods: A walkability index for the 633 spatially contiguous census area statistics wards of London was constructed, comprising three core dimensions associated with walking behaviours: residential dwelling density, street connectivity and land use mix. Walkability was expressed as quartile scores, with wards scoring 1 being in the bottom 25% in terms of walkability, and those scoring 4 in the top 25%. A neighbourhood walkability score was assigned to each London-dwelling Whitehall II Study participant (2003-04, N=3020, mean +/-SD age=61.0y +/-6.0) as the walkability score of the ward in which their residential postcode fell. Associations between neighbourhood walkability and weekly walking time were measured using multiple logistic regression. Results: After adjustment for individual level factors and area deprivation, people in the most walkable neighbourhoods were significantly more likely to spend ≥6hr/wk (Odds Ratio 1.4; 95%Confidence Interval 1.1-1.9), than those in the least walkable. Conclusions: The walkability index constructed can predict walking time in adults: living in a more walkable neighbourhood is associated with longer weekly walking time. The index may help urban planners identify and design neighbourhoods in London with characteristics that are potentially more supportive of walking and, thereby, promote public health.
date: 2016
publisher: Universities' Transport Study Group
official_url: http://www.utsg.net/web/index.php?page=2016---bristol
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1106815
lyricists_name: Brunner, Eric
lyricists_name: Duke-Williams, Oliver
lyricists_name: Mindell, Jennifer
lyricists_name: Shelton, Nicola
lyricists_name: Stockton, Jemima
lyricists_id: EJBRU90
lyricists_id: ODUKE12
lyricists_id: JMIND63
lyricists_id: NJSHE30
lyricists_id: JSTOC27
full_text_status: public
series: Universities' Transport Study Group: Annual Conference Proceedings
volume: 48
place_of_pub: Bristol, UK
event_title: Universities' Transport Study Group: 48th Annual Conference Proceedings, 2016
event_location: Bristol, UK
event_dates: 06 January 2016 - 08 January 2016
institution: Universities' Transport Study Group 48th Annual Conference Proceedings, 2016
book_title: Proceedings of the Universities' Transport Study Group: 48th Annual Conference
citation:        Stockton, JC;    Duke-Williams, O;    Stamatakis, E;    Brunner, EJ;    Mindell, JS;    Shelton, NJ;      (2016)    A novel walkability index for London predicts walking time in adults.                     In:  Proceedings of the Universities' Transport Study Group: 48th Annual Conference.    Universities' Transport Study Group: Bristol, UK.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/1505643/1/Brunner_UTSG_paper_522_JS.pdf