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      Measuring sidewalk distances using Google Earth

      research-article
      1 , 2 , , 1
      BMC Medical Research Methodology
      BioMed Central

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          Abstract

          Background

          Physical activity is an important determinant of health. Walking is the most common physical activity performed by adults and the presence of sidewalks along roads is a determinant of walking. Geographic information systems (GIS) can be used to measure sidewalks; however, GIS sidewalk data are difficult to access. The purpose of this study was to present a new GIS method for measuring the distance and coverage of sidewalks along roadways.

          Methods

          The new method contains three stages. Stage 1 involves calculating the distance of all road segments within the region of interest (e.g., neighborhood), extracting geospatial information on these road segments, and saving this information as a Google Earth file. This stage was performed in ArcGIS software. Stage 2 involves opening the extracted road segment geospatial data in Google Earth, visually examining road segments to see if they contain sidewalks, and deleting road segments without sidewalks. Stage 3 involves importing the modified road geospatial data into ArcGIS and calculating the length of road segments with sidewalks. The new method was tested in 315 sites across Canada. Each site consisted of a one km radius circular buffer surrounding a school.

          Results

          A detailed, step-by-step protocol is provided in the paper. The length of road segments with sidewalks in the testing sites ranged from 0.00 to 55.05 km (median 16.20 km). When expressed relative to the length of all road segments, the length of road segments with sidewalks ranged from 0% to 100% (median 53%). By comparison to urban testing sites, rural sites had shorter sidewalk lengths and a smaller proportion of the roads had sidewalk coverage.

          Conclusion

          This study provides a new GIS protocol that researchers can use to measure the distance and coverage of sidewalks along roadways.

          Related collections

          Most cited references10

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          Understanding environmental influences on walking; Review and research agenda.

          Understanding how environmental attributes can influence particular physical activity behaviors is a public health research priority. Walking is the most common physical activity behavior of adults; environmental innovations may be able to influence rates of participation. Review of studies on relationships of objectively assessed and perceived environmental attributes with walking. Associations with environmental attributes were examined separately for exercise and recreational walking, walking to get to and from places, and total walking. Eighteen studies were identified. Aesthetic attributes, convenience of facilities for walking (sidewalks, trails); accessibility of destinations (stores, park, beach); and perceptions about traffic and busy roads were found to be associated with walking for particular purposes. Attributes associated with walking for exercise were different from those associated with walking to get to and from places. While few studies have examined specific environment-walking relationships, early evidence is promising. Key elements of the research agenda are developing reliable and valid measures of environmental attributes and walking behaviors, determining whether environment-behavior relationships are causal, and developing theoretical models that account for environmental influences and their interactions with other determinants.
            • Record: found
            • Abstract: not found
            • Article: not found

            Travel and the Built Environment: A Synthesis

              • Record: found
              • Abstract: not found
              • Article: not found

              Many Pathways from Land Use to Health: Associations between Neighborhood Walkability and Active Transportation, Body Mass Index, and Air Quality

                Author and article information

                Journal
                BMC Med Res Methodol
                BMC Med Res Methodol
                BMC Medical Research Methodology
                BioMed Central
                1471-2288
                2012
                29 March 2012
                : 12
                : 39
                Affiliations
                [1 ]School of Kinesiology and Health Studies, Queen's University, 28 Division St., Kingston, ON, K7L 3N6, Canada
                [2 ]Department of Community Health and Epidemiology, Queen's University, Kingston, Canada
                Article
                1471-2288-12-39
                10.1186/1471-2288-12-39
                3359219
                22458340
                a1681c96-07c2-41d3-ad92-648749306e01
                Copyright ©2012 Janssen and Rosu; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 October 2011
                : 29 March 2012
                Categories
                Technical Advance

                Medicine
                Medicine

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