Exploration of the effect of violent crime on recreational and transportation walking by path and structural equation models

Multifaceted Scoping Review of Black/African American Transportation and Land Use Expert Recommendations on Activity-Friendly Routes to Everyday Destinations

Promoting physical activity (PA) at the community level is a complex, multisector approach requiring researchers and practitioners to impact the individual, interpersonal, environment, and policy levels. One such strategy aiming to impact systems, policies, and environments is the Centers for Disease Control and Prevention's Activity Friendly Routes to Everyday Destinations (Routes to Destinations). This strategy specifically aims to connect pedestrian, bicycle, and public transportation systems with built environment and land use destinations. This article examines Black/African American transportation and land use experts' perspectives and concerns-across multiple mediums-around inequities that have discouraged PA among Black/African American persons specifically Routes to Destinations strategies. In March 2021, a multifaceted scoping review was conducted of peer-reviewed literature, gray literature, and social media authored by Black/African American transportation and land use experts focusing on policy, system, and environmental changes which promote or discourage equitable and inclusive access to physical activity. Themes from peer-reviewed and gray literature resources included: (1) Assessing Racism, Discrimination, and Segregation; (2) Addressing Equity and Inclusion Through Policy; (3) Community Engagement and Place-Based Interventions; (4) Infrastructure Changes; (5) Safety; and (6) Reporting Health Disparities. Twitter topic models suggested the main topics included elements of race/racism, equity, safety, infrastructure, and advancing social justice. Experts called for systemic and systematic change through new policies and implementation of existing policies as well as enhanced community inclusion in decision-making through ownership of policy and built environment change. Safety was discussed differently between peer-reviewed and gray literature and Twitter discussions indicating a publication bias.

Validation of a neighborhood sentiment and safety index derived from existing data repositories

BACKGROUND

The communities we live in are central to our health. Neighborhood disadvantage is associated with worse physical and mental health and even early mortality, while resident sense of safety and positive neighborhood sentiment has been repeatedly linked to better physical and mental health outcomes. Therefore, understanding where negative neighborhood sentiment and safety are salient concerns can help inform public health interventions and as a result, improve health outcomes. To date, fear of crime and neighborhood sentiment data or indices have largely been based on the administration of time consuming and costly standardized surveys.

OBJECTIVE

The current study aims to develop a Neighborhood Sentiment and Safety Index (NSSI) at the census tract level, building on publicly available data repositories, including the US Census and ACS surveys, Data Axle, and ESRI repositories.

METHODS

The NSSI was created using Principal Component Analysis. Mineigen and minimum loading values were 1 and 0.3, respectively. Throughout the step-wise PCA process, variables were excluded if their loading value was below 0.3 or if variables loaded into multiple components.

RESULTS

The novel index was validated against standardized survey items from a longitudinal cohort study in the Northeastern United States characterizing experiences of (1) Neighborhood Characteristics with a Pearson correlation of -0.34 (p < 0.001) and, (2) Neighborhood Behavior Impact with a Pearson correlation of -0.33 (p < 0.001). It also accurately predicted the Share Care Community Well Being Index (Spearman correlation = 0.46) and the neighborhood deprivation index (NDI) (Spearman correlation = -0.75).

SIGNIFICANCE

Our NSSI can serve as a predictor of neighborhood experience where data is either unavailable or too resource consuming to practically implement in planned studies.

IMPACT STATEMENT

To date, fear of crime and neighborhood sentiment data or indices have largely been based on the administration of time consuming and costly standardized surveys. The current study aims to develop a Neighborhood Sentiment and Safety Index (NSSI) at the census tract level, building on publicly available data repositories, including the US Census and ACS surveys, Data Axle, and ESRI repositories. The NSSI was validated against four separate measures and can serve as a predictor of neighborhood experience where data is either unavailable or too resource consuming to practically implement in planned studies.

Perceived risk of infection while traveling during the COVID-19 pandemic: Insights from Columbus, OH

The COVID-19 outbreak caused major disruptions on individuals' out-of-home activities. Worldwide mandates to slow down the spread of the disease resulted in significant reductions in travel. This study analyzes the changes in individuals' travel outcomes and their risk perceptions related to exposure and specific travel modes during the COVID-19 pandemic. We use data collected through an online survey with residents of Columbus, OH from April 30 to May 7, 2020. Employing multiple generalized estimating equations (GEEs) with a logit link function, we analyze the perceived risk of infection while traveling with different modes controlling for socio-demographics. The findings show that on average individuals are more likely to find shared modes (i.e., transit, ride-hailing, carsharing) riskier as compared to individual ones (i.e., walking, autos) when it comes to COVID-19 exposure. This study also suggests that the associations between perceptions related to exposure and various travel modes vary across groups with (1) different primary mode preferences (auto users vs non-auto users (e.g., transit users, bicyclists, etc.)), and (2) different socio-demographics. For example, auto users are more likely to find shared modes such as ride-hailing or transit riskier as compared to personal car. The conclusions present recommendations for future transportation policies in the post-COVID era. These include building upon the emerging positive perceptions towards non-motorized modes as an opportunity to promote sustainable transportation as well as formulating viable solutions to address the high-risk perceptions associated with transit.

Perceived Neighborhood and Walking Among Older Brazilian Adults Living in Urban Areas: A National Study (ELSI-Brazil)

The study goal was to examine the association between perceived neighborhood characteristics and walking in urban older adults in Brazil. A cross-sectional study including 4,027 older adults from the baseline of the Brazilian Longitudinal Study of Aging (ELSI-Brazil) was performed. Walking was measured using the International Physical Activity Questionnaire. Neighborhood characteristics were questions about physical disorder, noise pollution, safety, violence, social cohesion, services, concerns with community mobility, and pleasantness. Multinomial logistic regression was used. Concern about taking the bus, subway, or train was inversely associated with walking for men. Violence (victim of theft, robbery, or had home broken into) and social cohesion (trust in neighbors) were positively and inversely associated with walking for women, respectively. A significant interaction term between social cohesion and number of chronic diseases was observed for women. These findings demonstrate the need for sex-specific interventions and policies to increase the walking levels among older Brazilian adults.