Aggregation and spatial analysis of walking activity in an urban area: results from the Halifax space-time activity survey

9th Symposium of the International Society for Digital Earth

地球科学;计算机科学

Neatt, K.^1 ; Millward, H.^1 ; Spinney, J.^1

Saint Mary's University, Halifax, Canada^1

关键词: Built environment;    Linear feature;    Multivariate regression;    Neighborhood characteristics;    Road connectivity;    Spatial analysis;    Urban and suburban areas;    Walking activity;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/34/1/012022/pdf
DOI  :  10.1088/1755-1315/34/1/012022

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

This study examines neighborhood characteristics affecting the incidence of walking trips in urban and suburban areas of Halifax, Canada. We employ data from the Space-Time Activity Research (STAR) survey, conducted in 2007-8. Primary respondents completed a two- day time-diary survey, and their movements were tracked using a GPS data logger. Primary respondents logged a total of 5,005 walking trips, specified by 781,205 individual GPS points. Redundant and erroneous points, such as those with zero or excessive speed, were removed. Data points were then imported into ArcGIS, converted from points to linear features, visually inspected for data quality, and cleaned appropriately. From mapped walking tracks we developed hypotheses regarding variations in walking density. To test these, walking distances were aggregated by census tracts (CTs), and expressed as walking densities (per resident, per metre of road, and per developed area). We employed multivariate regression to examine which neighborhood (CT) variables are most useful as estimators of walking densities. Contrary to much of the planning literature, built-environment measures of road connectivity and dwelling density were found to have little estimating power. Office and institutional land uses are more useful estimators, as are the income and age characteristics of the resident population.