MétaCan
Menu
Retour à la cohorte
Enregistrement W6925550351 · doi:10.17605/osf.io/xytwv

Meteorological gaps in built environment audit tools: a scoping review

2023· other· en· W6925550351 sur OpenAlex

Pourquoi ce travail est dans la base

Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.

aboutLe titre ou le résumé porte un signal canadien du lexique géographique.
no affAucune affiliation canadienne : ce travail est invisible pour une base fondée sur la seule affiliation.
Aucune affiliation canadienne. Une base fondée sur la seule affiliation (le devis habituel) n'aurait jamais vu ce travail. C'est l'un des travaux qui justifient l'inversion de la base.

Notice bibliographique

RevueOpen Science Framework · 2023
Typeother
Langueen
DomaineBusiness, Management and Accounting
ThématiqueIntellectual Property and Patents
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWalkabilityBuilt environmentPedestrianUrban planningUrban designScale (ratio)AuditPopulation

Résumé

récupéré en direct d'OpenAlex

1.0 Overview: Walkability is a key concept in urban planning and public health, encompassing various aspects of the built environment that prioritize and promote pedestrian access (whether walking, wheeling or biking) in neighborhoods (Tobin et al., 2022). Extensive research has shown that neighborhoods with walkable built environments promote increased physical activity among residents which can prevent the development of chronic diseases such as diabetes, heart disease and cancer (Smith et al., 2017). Additionally, walkable neighborhoods offer numerous advantages, including increased mental wellbeing, environmental sustainability, community engagement, and economic vitality (Wilmut & Purcell, 2022). Given that a significant proportion of the population fails to meet the World Health Organization's recommended levels of physical activity (150 minutes of moderate to vigorous activity a week) (Guthold et al., 2018), enhancing neighborhood walkability and other non-motorized locomotion emerges as a valuable strategy to aid individuals reach this goal and enhance wellbeing on a community level. Walkability is often examined on a spectrum of microscale to macroscale elements. The microscale refers to specific features of the built environment that directly influence walkability (including pedestrian scale items such as the presence of benches, trees, art, and litter), while the macroscale considers broader contextual factors (including residential density and land use) (Frank et al., 2006). Notably, modifying microscale elements is often more cost-effective than making macroscale changes, while still yielding comparable or greater health benefits (Millington et al., 2009). Prioritizing improvements in microscale walkability is essential for city planners and policymakers to enhance community health through feasible, cost-effective methods. To enable effective microscale interventions, accurate measurement of microscale walkability within neighborhoods is crucial. One way this is achieved is through conducting built environment audits, which involve systematic evaluations of features that either facilitate or hinder pedestrian activity (Aghaabbasi et al., 2018; Brownson et al., 2009). However popular they may be, current built environment audit tools may have limitations in capturing walkability across different seasons and weather conditions (Curtis, 2017). Environmental variables such as weather, climate, and seasonal variations have been shown to significantly impact walkability, especially in regions with pronounced seasonal changes (Giles-Corti et al., 2005). For instance, active transportation often decreases during winter months due to icy or snowy sidewalks (Forsyth & Krizek, 2011). Considering the impending challenges of climate change, including more frequent extreme weather events, a consistent and comprehensive evaluation of walkability across diverse environments becomes even more critical (Sallis et al., 2016). The Housing for Health Research Team at the University of Alberta plans to conduct a scoping review to examine the inclusion of meteorological factors, such as seasons and weather, in microscale built environment audits. Firstly, to provide a comprehensive summary of microscale built environment audit tools that have been specifically developed for particular weather conditions or seasons; and secondly, to assess the extent to which current microscale audit tools incorporate environmental factors into their assessments.By leveraging this knowledge, the team aims to develop a winter audit tool that addresses the identified gaps. Additionally, they will evaluate the need for an audit tool that considers multiple environmental factors to enhance walkability across various weather and climate conditions. 2.0 Objectives and Questions: Objectives and corresponding research questions are as follows: Objectives Questions To identify, evaluate, and understand the methodologies of microscale-built environment audits designed for assessing the walkability of pedestrian environments in different seasons or extreme weather conditions 1.1 Have any microscale-built environment audits been specifically designed to assess the walkability of pedestrian environments during distinct seasons (e.g., winter), or periods of extreme weather conditions, such as heavy precipitation (e.g., rainstorms) or high winds? 1.2 What methodologies do microscale-built environment audits employ to measure the impact of specific meteorological conditions on the walkability of pedestrian environments? 1.3 Do current audits exhibit gaps in their inclusion of built environment variables, indicators, or dimensions that could potentially mitigate the impacts of extreme wind, temperatures, and precipitation on walkability? 3.0 Methodology To conduct a comprehensive review of the relevant literature, a systematic approach will be employed. This process involves the joint efforts of our research team, a subject librarian from the University of Alberta, and subject matter experts, ensuring the selection of the most pertinent databases for our research questions. Search Strategy: The search strategy is developed in accordance with the PCC (Population, Concept, Context) criteria based on the JBI (Joanna Briggs Institute) guidelines (Aromataris & Munn, 2017) ● Population (P): Any user of a pedestrian environment (e.g., pedestrians, cyclists, wheelchair users). ● Concept (C): Microscale built environment audit tools that have been developed specifically for or consider environmental factors (weather/climate or seasonal factors) that may impact the walkability of pedestrian environments. We are interested in identifying these tools, their development, reliability and validity. ● Context (C): Open/Global, looking at all relevant studies/resources, regardless of geographical location or specific population. Eligibility Criteria Inclusion Criteria: ● Studies focusing on microscale pedestrian environments. ● Research with a primary aim of developing or discussing the measurement properties (e.g., validity, reliability, feasibility) of at least one audit tool designed for assessing impacts on pedestrians. ● Types of studies to be included are empirical research studies, observational studies, interventional studies, systematic reviews, and methodological papers. ● Full text studies available in English. ● Studies published since the inception of each database until the date of the literature search. Exclusion Criteria: ● Studies that do not concentrate on microscale audit tools. ● Research not related to pedestrian environments. ● Studies in which the audit tool was initially created for purposes other than assessing impacts on pedestrians. ● Non-English language studies. ● We are not including ● Research that does not provide the actual audit tool or access to it. ● Studies that do not discuss the development, reliability, validity, or other measurement aspects of at least one audit tool. Databases: ● Web of Science ● Medline ● CINAHL Keywords Concepts RELATED TERMS Assessment Tools ("evaluation tool*" or "assessment tool*" or "measurement instrument*" or "audit tool*" or "audit instrument*") AND Related Audit Tools ("Central corridor pedestrian environment" or "Systematic pedestrian and cycling environmental scan" or "Pedestrian environment data scan" or "active neighborhood checklist" or "analytic audit tool" or "Irvine Minnesota inventory" or "walking suitability assessment form" or "neighborhood audit tool" or "path environment audit tool") AND Active Transportation and Built Environment (pedestrian* or "active transport*" or bicycl* or cyclist* or cycling or "rollerblading" or wheelchair* or sidewalk* or walkab* or "built environment*" or "urban design" or "urban planning" or "active commuting" or neighborhood* or "street design") 4.0 Data management and Selection process: The search results from all databases will be exported into reference management software to eliminate duplicates. The unique references will then be imported into Covidence (www.covidence.org), a web-based software platform specifically designed to streamline the production of systematic reviews. The selection process will occur in two stages: ● Pilot Testing: Prior to the actual title and abstract screening, a pilot testing phase will be conducted to ensure consistency and agreement between the independent reviewers and to refine the inclusion and exclusion criteria if necessary. A subset of references (n=20) will be randomly selected from the complete reference list to be used for the pilot testing. Each independent reviewer will conduct a blinded screening of the titles and abstracts of the pilot sample references in Covidence. The reviewers will categorize the references as 'include', 'exclude', or 'unsure' based on the predetermined criteria. Following completion of the screening, the reviewers will compare their categorizations, discuss any discrepancies, and aim to reach a consensus. If consensus cannot be reached, a third reviewer will be consulted. The pilot testing phase will help ensure a common understanding of the screening process and enhance the reliability and consistency of the subsequent full-text review. ● Title and Abstract Screening: Two independent reviewers will conduct a blinded screening of titles and abstracts of all unique references in Covidence. Each reviewer will categorize the references as 'include', 'exclude', or 'unsure' based on the predetermined inclusion and exclusion criteria. References categorized as 'include' or 'unsure' by either reviewer will proceed to the next stage. ● Full-text Review: The full text of all references included after the title and abstract screening will be retrieved and uploaded into Covidence. Two independent reviewers will assess each full-text article for eligibility based on the same inclusion and exclusion criteria. Each reviewer will categorize the full-text articles as

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCommunication savante, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,213
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,002
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0030,003
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0250,017

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,214
Tête enseignante GPT0,333
Écart entre enseignants0,119 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle