Contemporary research on the walking environment focuses closely on the construction logic and internal correlation. Walkability is one of the vital characteristics of the old town street space. To understand how to improve the old town street space effectively, the investigation of the correlation mechanism of street walkability is essential. This study utilizes structural equation model (SEM) to construct a street walkability measurement model composed of four unobserved factors. Then, take Old Southern Area in Nanjing as an example, integrate Depthmap, ArcGIS and Python to obtain multi-source data, and establish a database of observed factors on street space. Finally, the matrix of the observed factors is set by SEM to calculate the correlation of the unobserved factors. This paper provides a novel technical approach for the correlation study of spatial construction logic as well as a reference for strengthening the spatial quality of the contemporary built environment.
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http://dx.doi.org/10.1016/j.heliyon.2024.e36761 | DOI Listing |
Multivariate Behav Res
January 2025
Department of Psychology, University of British Columbia, Vancouver, BC, Canada.
In this tutorial, we clarify the distinction between estimated factor scores, which are weighted composites of observed variables, and true factor scores, which are unobservable values of the underlying latent variable. Using an analogy with linear regression, we show how predicted values in linear regression share the properties of the most common type of factor score estimates, regression factor scores, computed from single-indicator and multiple indicator latent variable models. Using simulated data from 1- and 2-factor models, we also show how the amount of measurement error affects the reliability of regression factor scores, and compare the performance of regression factor scores with that of unweighted sum scores.
View Article and Find Full Text PDFAccid Anal Prev
January 2025
School of Architecture and Art, Central South University, Changsha, Hunan 410075, China.
The built environment of old residential neighborhoods poses heightened perceived traffic risks for school-aged children due to their limited cognitive ability to assess hazards, underdeveloped understanding of traffic patterns, and inadequate infrastructure in these areas. However, studies on the impacts of neighborhood environments on children's traffic risk perceptions remain limited. This study aims to reveal the influence of individual attributes, as well as macro- and micro-level environmental factors, on children's risk perception using a hierarchical ordered logit model with random effects.
View Article and Find Full Text PDFCad Saude Publica
January 2025
Instituto de Investigaciones en Ciencias de la Salud, Universidad Nacional de Córdoba, Córdoba, Argentina.
This study aimed to identify latent (unobservable) dimensions representing specific physical activity-related behaviors and explore their potential effects on obesity burden and spatial distribution in Colombia. A cross-sectional study (n = 9,658) was conducted based on the Colombian National Survey of Nutritional Status. A generalized structural equations model was proposed, combining exposure and measurement models to define a disease model.
View Article and Find Full Text PDFJ Appl Stat
May 2024
Department of Community Health and Epidemiology, Faculty of Medicine, Dalhousie University, Halifax, CA, Canada.
Survival analysis often involves modeling hazard functions while considering frailty to account for unobserved cluster-level factors in clustered survival data. Shared frailty models have gained popularity for this purpose, but assessing covariate functional form in these models presents unique challenges. Martingale and deviance residuals are commonly used for visually assessing covariate functional form against continuous covariates.
View Article and Find Full Text PDFJ Appl Stat
May 2024
Institute of Mathematical and Computer Sciences, University of São Paulo, São Carlos, São Paulo, Brazil.
Survival data analysis often uses the Cox proportional hazards (PH) model. This model is widely applied due to its straightforward interpretation of the hazard ratio under the assumption that the hazard rates for two subjects remain constant over time. However, in several randomized clinical trials with long-term survival data comparing two new treatments, it is frequently observed that Kaplan-Meier plots exhibit crossing survival curves.
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