Dataset Information

Assessing Walking and Cycling Environments in the Streets of Madrid: Comparing On-Field and Virtual Audits.

ABSTRACT: Audit tools are useful for exploring the urban environment and its association with physical activity. Virtual auditing options are becoming increasingly available potentially reducing the resources needed to conduct these assessments. Only a few studies have explored the use of virtual audit tools. Our objective is to test if the Madrid Systematic Pedestrian and Cycling Environment Scan (M-SPACES) discriminates between areas with different urban forms and to validate virtual street auditing using M-SPACES. Three areas (N = 500 street segments) were selected for variation in population density. M-SPACES was used to audit street segments physically and virtually (Google Street View) by two researchers in 2013-2014. For both physical and virtual audits, all analyzed features score significantly different by area (p < 0.05). Most of the features showed substantial (ICC = 0.6-0.8) or almost perfect (ICC ≥ 0.8) agreement between virtual and physical audits, especially neighborhood permeability walking infrastructure, traffic safety, streetscape aesthetics, and destinations. Intra-rater agreement was generally acceptable (ICC > 0.6). Inter-rater agreement was generally poor (ICC < 0.4). Virtual auditing provides a valid and feasible way of measuring residential urban environments. Comprehensive auditor training may be needed to guarantee good inter-rater agreement.

SUBMITTER: Gullon P

PROVIDER: S-EPMC4608939 | biostudies-literature | 2015 Oct

REPOSITORIES: biostudies-literature

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Assessing Walking and Cycling Environments in the Streets of Madrid: Comparing On-Field and Virtual Audits.

Gullón Pedro P Badland Hannah M HM Alfayate Silvia S Bilal Usama U Escobar Francisco F Cebrecos Alba A Diez Julia J Franco Manuel M

Journal of urban health : bulletin of the New York Academy of Medicine 20151001 5

Audit tools are useful for exploring the urban environment and its association with physical activity. Virtual auditing options are becoming increasingly available potentially reducing the resources needed to conduct these assessments. Only a few studies have explored the use of virtual audit tools. Our objective is to test if the Madrid Systematic Pedestrian and Cycling Environment Scan (M-SPACES) discriminates between areas with different urban forms and to validate virtual street auditing usi ...[more]

PMID: 26349472

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Project description:BackgroundPhysical inactivity is a significant public health concern, with limited signs of improvement despite a global commitment to achieving the World Health Organization's target of 15% reduction by 2030. A systems approach is required to tackle this issue, involving the creation of environments that are conducive to physical activity. Laws represent an important tool for regulating the built environment for physical activity, are a mechanism for systems change, and have the capacity to reorient the goals and rules of a system. However, they are understudied and potentially underutilised for physical activity. Scientific legal mapping is a first step towards understanding how laws could impact the built environment to facilitate greater population physical activity.MethodWe conducted a legal assessment of state and territory laws in Australia, to systematically characterise how they address built environment considerations with specific relevance to walking and cycling. An interdisciplinary team of researchers with public health, law and urban planning expertise was formed to complete the multistage process. Key steps included a systematic search of laws using a combination of original legal research, consultation of secondary sources, and review and verification by an urban planning expert; development of a coding scheme; and completion of coding and quality control procedures.ResultsMost jurisdictions in Australia do not currently embed objectives in primary legislation that would promote physical activity and support an integrated approach to land use and transport planning that encourages active and sustainable lifestyles. Only two jurisdictions addressed the large majority of evidence-based standards that promote active living. Of the standards addressed in law, few fully met evidence-based recommendations. While most jurisdictions legislated responsibility for enforcement of planning law, few legislated obligations for monitoring implementation.ConclusionIncreasing physical activity is a systems issue, requiring actions across multiple sectors. An in-depth examination of the legal environment is an important step towards understanding and influencing the existing physical activity system, why it may not be generating desired outcomes, and potential opportunities for improvement. Our findings reveal opportunities where laws could be strengthened to promote more active environments. Updating this dataset periodically will generate longitudinal data that could be used to evaluate the impact of these laws on the built environment and physical activity behaviours.

Project description:BACKGROUND:Although previous research has highlighted the association between the built environment and individual health, methodological challenges in assessing the built environment remain. In particular, many researchers have demonstrated the high inter-rater reliability of assessing large or objective built environment features and the low inter-rater reliability of assessing small or subjective built environment features using Google Street View. New methods for auditing the built environment must be evaluated to understand if there are alternative tools through which researchers can assess all types of built environment features with high agreement. This paper investigates measures of inter-rater reliability of GigaPan®, a tool that assists with capturing high-definition panoramic images, relative to Google Street View. METHODS:Street segments (n?=?614) in Pittsburgh, Pennsylvania in the United States were randomly selected to audit using GigaPan® and Google Street View. Each audit assessed features related to land use, traffic and safety, and public amenities. Inter-rater reliability statistics, including percent agreement, Cohen's kappa, and the prevalence-adjusted bias-adjusted kappa (PABAK) were calculated for 106 street segments that were coded by two, different, human auditors. RESULTS:Most large-scale, objective features (e.g. bus stop presence or stop sign presence) demonstrated at least substantial inter-rater reliability for both methods, but significant differences emerged across finely detailed features (e.g. trash) and features at segment endpoints (e.g. sidewalk continuity). After adjusting for the effects of bias and prevalence, the inter-rater reliability estimates were consistently higher for almost all built environment features across GigaPan® and Google Street View. CONCLUSION:GigaPan® is a reliable, alternative audit tool to Google Street View for studying the built environment. GigaPan® may be particularly well-suited for built environment projects with study settings in areas where Google Street View imagery is nonexistent or updated infrequently. The potential for enhanced, detailed imagery using GigaPan® will be most beneficial in studies in which current, time sensitive data are needed or microscale built environment features would be challenging to see in Google Street View. Furthermore, to better understand the effects of prevalence and bias in future reliability studies, researchers should consider using PABAK to supplement or expand upon Cohen's kappa findings.

Project description:Pathological changes in the medial temporal lobe (MTL) are found in the early stages of Alzheimer's disease (AD) and aging. The earliest pathological accumulation of tau colocalizes with the areas of the MTL involved in object processing as part of a wider anterolateral network. Here, we sought to assess the diagnostic potential of memory for object locations in iVR environments in individuals at high risk of AD dementia (amnestic mild cognitive impairment [aMCI] n = 23) as compared to age-related cognitive decline. Consistent with our primary hypothesis that early AD would be associated with impaired object location, aMCI patients exhibited impaired spatial feature binding. Compared to both older (n = 24) and younger (n = 53) controls, aMCI patients, recalled object locations with significantly less accuracy (p < .001), with a trend toward an impaired identification of the object's correct context (p = .05). Importantly, these findings were not explained by deficits in object recognition (p = .6). These deficits differentiated aMCI from controls with greater accuracy (AUC = 0.89) than the standard neuropsychological tests. Within the aMCI group, 16 had CSF biomarkers indicative of their likely AD status (MCI+ n = 9 vs. MCI- n = 7). MCI+ showed lower accuracy in the object-context association than MCI- (p = .03) suggesting a selective deficit in object-context binding postulated to be associated with anterior-temporal areas. MRI volumetric analysis across healthy older participants and aMCI revealed that test performance positively correlates with lateral entorhinal cortex volumes (p < .05) and hippocampus volumes (p < .01), consistent with their hypothesized role in binding contextual and spatial information with object identity. Our results indicate that tests relying on the anterolateral object processing stream, and in particular requiring successful binding of an object with spatial information, may aid detection of pre-dementia AD due to the underlying early spread of tau pathology.

Dataset Information

Assessing Walking and Cycling Environments in the Streets of Madrid: Comparing On-Field and Virtual Audits.

Publications

Assessing Walking and Cycling Environments in the Streets of Madrid: Comparing On-Field and Virtual Audits.

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