Applying a Home-Based Approach to the Understanding Distribution of Economic Impacts of Traffic Crashes

Author(s):  
Amin Mohamadi Hezaveh ◽  
Christopher R. Cherry

The current practice of road safety attributes traffic crash costs to the location of traffic crashes. Therefore it is challenging to estimate the economic cost of traffic crashes and individuals who are more prone to the burden of traffic crashes. To address this limitation, this study used the home address of individuals who were involved in traffic crashes in the Knoxville Regional Travel Model (KRTM) region between 2015 and 2016. After geocoding the home addresses, 110,312 individuals were assigned to the Traffic Analysis Zone (TAZ) corresponding to their home address and the economic cost of traffic crashes per capita (ECCPC) was calculated for each TAZ. The average ECCPC in the study area was $1,250. The KRTM output was used for extracting travel behavior data elements for modeling ECCPC at the zonal level. This study also established an index to measure average zonal activity in the transportation system for each TAZ. Analysis indicates that the burden of traffic crashes was more tangible in the TAZs with lower-income households and higher average zonal activities. To account for spatial autocorrelation, a Spatial Autoregressive model (SAR) and a spatial error model (SEM) were used. The SAR model was more suitable compared with SEM and ordinary least squares regression. Findings indicate that average zonal activity and traffic exposure have a significant positive association with ECCPC. The ECCPC could be used as an index for allocating proper countermeasures and interventions to groups and areas where the burden of traffic crashes is more tangible.

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Dawn C Carr ◽  
Miles G Taylor ◽  
Alex Meyer ◽  
Natalie J Sachs-Ericsson

Abstract Background and Objectives The veteran population is aging. Combat exposure is associated with negative health and psychological outcomes in some, but not all veterans; others even appear to experience gains. One mechanism driving these varied responses might be early life relationships. This study investigated the extent to which the quality of early maternal relationships influences the association between combat exposures and life satisfaction (LS) among older male veterans. Research Design and Methods Data were drawn from a pooled sample of male veterans in the Health and Retirement Study who completed the 2013 Veteran Mail Survey (N = 1,160). We used ordinary least squares regression to examine the association between combat exposures (with and without exposure to death) and LS, and the moderating effect of maternal relationship quality on this association. Results We found a significant positive association between maternal relationship quality and LS, and a significant association of combat that was dependent on maternal relationship quality. Specifically, combat-exposed veterans with poor maternal relationship quality reported lower LS, whereas combat-exposed veterans with high relationship quality reported higher LS—relative to their noncombat-exposed counterparts. The effects of exposure to death of hazardous toxins did not mediate or moderate this relationship. Discussion and Implications Findings indicate that maternal relationships had a lasting influence on whether combat contributed to a positive, negative, or neutral long-term effect on wellbeing. Findings support previous studies that suggest early life factors may play an important role in the fostering of resilient health outcomes over the life course. Implications for preventative strategies in soldiers are discussed.


2017 ◽  
Vol 32 (7) ◽  
pp. 715-730 ◽  
Author(s):  
Benjamin W. Hoffman ◽  
Albert L. Nagy

Purpose This paper aims to investigate whether the expected implementation of Section 404(b) of the Sarbanes-Oxley Act (SOX 404(b)) (the integrated audit requirement) caused auditors to discount their audit fees for non-accelerated filers in anticipation of expected increased future economic rents (DeAngelo, 1981) from those clients. Design/methodology/approach This paper predicts that auditors charged their non-accelerated filer clients lower audit fees during the years 2005-2007 (in anticipation of increased expected future economic rents from the implementation of the SOX 404(b) requirement) compared with the years 2010-2012 (when it had been determined that non-accelerated filers were permanently exempt from complying with SOX 404(b)). The authors use ordinary least squares regression analysis to examine whether audit fees increased significantly for non-accelerated filers after the permanent exemption announcement. Findings The results show a significant positive association between the exemption announcement and audit fees, supporting the theory that auditors discounted their audit fees for non-accelerated filers in the pre-exemption announcement period. This finding is robust when sensitivity tests are used. Practical implications The findings of audit fee discounting literature related to the post-SOX period are mixed. This study adds to this stream of literature by supporting the notion that audit fee discounting is being practiced post-SOX and is a potential unintended consequence of SOX 404 and the exemption. Thus, investors will be interested in the results of this paper when making their investment decisions with regard to non-accelerated filers. Social implications The results of this paper show that, even in the post-SOX environment, auditors will employ the use of audit fee discounting if a change in regulation incentivizes it. This commentary on the present state of the audit pricing market should be of interest to audit pricing policymakers. Originality/value This paper is one of the first to study audit fee discounting outside the realm of initial audit engagements.


2020 ◽  
Author(s):  
Boyu Gao ◽  
Peng Gong ◽  
Wenyuan Zhang ◽  
Jun Yang ◽  
Yali Si

Abstract Context With the expansion in urbanization, understanding how biodiversity responds to the altered landscape becomes a major concern. Most studies focus on habitat effects on biodiversity, yet much less attention has been paid to surrounding landscape matrices and their joint effects. Objective We investigated how habitat and landscape matrices affect waterbird diversity across scales in the Yangtze River Floodplain, a typical area with high biodiversity and severe human-wildlife conflict. Methods The compositional and structural features of the landscape were calculated at fine and coarse scales. The ordinary least squares regression model was adopted, following a test showing no significant spatial autocorrelation in the spatial lag and spatial error models, to estimate the relationship between landscape metrics and waterbird diversity. Results Well-connected grassland and shrub surrounded by isolated and regular-shaped developed area maintained higher waterbird diversity at fine scales. Regular-shaped developed area and cropland, irregular-shaped forest, and aggregated distribution of wetland and shrub positively affected waterbird diversity at coarse scales. Conclusions Habitat and landscape matrices jointly affected waterbird diversity. Regular-shaped developed area facilitated higher waterbird diversity and showed the most pronounced effect at coarse scales. The conservation efforts should not only focus on habitat quality and capacity, but also habitat connectivity and complexity when formulating development plans. We suggest planners minimize the expansion of the developed area into critical habitats and leave buffers to maintain habitat connectivity and shape complexity to reduce the disturbance to birds. Our findings provide important insights and practical measures to protect biodiversity in human-dominated landscapes.


2021 ◽  
Vol 12 (4) ◽  
pp. 58-74
Author(s):  
Ortis Yankey ◽  
Prince M. Amegbor ◽  
Marcellinus Essah

This paper examined the effect of socio-economic and environmental factors on obesity in Cleveland (Ohio) using an OLS model and three spatial regression models: spatial error model, spatial lag model, and a spatial error model with a spatially lagged response (SEMSLR). Comparative assessment of the models showed that the SEMSLR and the spatial error models were the best models. The spatial effect from the various spatial regression models was statistically significant, indicating an essential spatial interaction among neighboring geographic units and the need to account for spatial dependency in obesity research. The authors also found a statistically significant positive association between the percentage of families below poverty, Black population, and SNAP recipient with obesity rate. The percentage of college-educated had a statistically significant negative association with the obesity rate. The study shows that health outcomes such as obesity are not randomly distributed but are more clustered in deprived and marginalized neighborhoods.


Author(s):  
R M Hall ◽  
A Unsworth ◽  
P Siney ◽  
B M Wroblewski

One hundred and twenty-nine Charnley acetabular components were acquired at the time of revision surgery and a tribological investigation undertaken. The relative occurrence of pitting in the unworn and worn regions of the sockets suggest that most of the cement ingress occurs during the early part of the service life. The penetration depth of the explanted sockets was determined using the shadowgraph technique. Observation of the profiles in the wear planes suggest that, in general, the creep component was not a significant proportion of the overall change in the inner bore of the socket. Using weighted ordinary least squares regression, in which the intercept was not assumed to be zero, mean penetration and wear volume rates of 0.20 (SE = 0.02) mm/year and 55 (SE = 5) mm3/year, respectively, were recorded and are in agreement with other retrieval studies. In neither case was the intercept found to be significantly different from zero. A mean clinical wear factor, kclinical, equal to 2.1 (SE = 0.2) × 10-6 mm3/N m was calculated which is considerably larger than that found in laboratory experiments which purport to reflect in vivo conditions. In this analysis, a significant positive intercept was observed [96 (SE = 36) mm3] and may be evidence of the small initial penetration due to creep reported in simulator experiments. A strong positive association between kclinical and the arithmetical mean roughness, Ra, of the femoral head was also demonstrated although the rate of change was not as great as that cited for laboratory experiments.


Author(s):  
Qi Zhou ◽  
Hao Lin ◽  
Junya Bao

The study of street network patterns is beneficial in understanding the layout or physical form of a city. Many studies have analyzed street network patterns, but the similarity and/or difference of street network patterns across a country or region are rarely quantitatively understood. To fill this gap, this research proposes a quantitative analysis of street network patterns nationwide. Specifically, the street network patterns across a country or region were first mapped, and then the relationship between such patterns and various landscape factors (calculated based on global open data) was quantitatively investigated by employing three regression models (ordinary least squares, spatial lag model, and spatial error model). Not only the whole region of China but also its subregions were used as study areas, which involved a total of 362 prefecture-level cities and 2081 built-up areas for analysis. Results showed that (1) similar street network patterns are spatially aggregated; (2) a number of factors, including both land-cover and terrain factors, are found to be significantly correlated with street network patterns; and (3) the spatial lag model is preferred in most of the application scenarios. Not only the analytical method and data can be applied to other countries and regions but also these findings are useful for understanding street network patterns and their associated urban forms in a country or region.


2018 ◽  
Vol 31 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Doaa Aly ◽  
Sherif El-Halaby ◽  
Khaled Hussainey

Purpose This paper aims to examine the extent to which financial performance (FP) represents one of the main determinants for tone disclosure (TD) in Egyptian annual reports. The authors also measure the bidirectional relationship between TD and FP. Design/methodology/approach The manual content analysis is used to measure the levels of TD in annual reports for a sample of 105 firms listed on the Egyptian stock market. The sample covers a three-year period (2011-2013). Findings The descriptive analysis in this paper shows that Egyptian firms disclose more good news than bad news. Therefore, the net news disclosure, or net variances, between good/bad is positive. The empirical analysis shows a positive association between the narrative disclosure of good/bad news and FP based on return on assets. The authors also find a highly significant association between the auditor, profitability, leverage, firm growth and financial reporting of good/bad news information. Finally, the results of the ordinary least squares regression show that the causality between the two endogenous variables runs from FP to TD. Thus, TD is determined by FP. Originality/value This study offers a novel contribution to disclosure studies by being the first study to examine TD in one of the developing countries.


2020 ◽  
Vol 4 (Supplement_2) ◽  
pp. 919-919 ◽  
Author(s):  
Thirumal Vennam ◽  
Satish Agnihotri ◽  
Pennan Chinnasamy

Abstract Objectives India, in accordance with United Nation's Sustainable Development Goals, is committed to reduce malnutrition, which accounts to 68.2% of deaths in children below 5 years in the country. The fourth round of National Family Health Survey (NFHS4) provided information on nutrition and health at district level, for the first time. The objective of this study was to investigate significant correlates that influence the nutrition outcomes, and establish a spatial relationship, if any, which would help in informing policy decisions and targeted planning, considering the vast diversity and heterogeneity across regions in India. Methods Publicly available district data from National Family Health Survey-4(2015–16) was used. Based on previous studies, 21 independent variables providing information on household conditions, maternal health and childhood diseases and deficiencies, were shortlisted. The outcome variables were stunting, wasting and underweight in children under the age of five. Principal Component Analysis was conducted to reduce the dimensions owing to multicollinearity. Moran's I Values, Ordinary least square method, spatial lag model and spatial error model were employed to study the spatial relationship using statistical tools like Stata 15 (SE), Minitab and GeoDa version 1.14.0. Results Moran's I Values of stunting (0.67), wasting (0.51) and underweight (0.76) suggest strong spatial dependency across regions in India. Spatial Error Model with lower Akaike info Criterion value was found to be a better model in comparison with ordinary least square and spatial lag model. Women's short height was found to have significant positive association with both stunting (coefficient: 0.86, P < 0.01) and underweight (coefficient: 0.66, P < 0.01). Whereas, child anaemia showed significant positive association with wasting (coefficient: 0.19, P < 0.01) and underweight (coefficient: 0.14, P < 0.01). While households using iodized salt showed a negative association with both stunting (coefficients: −0.18, P < 0.01) and underweight (Coefficient: −0.12, P < 0.01), households with improved drinking water showed negative association (coefficient: −.06, P < 0.05) with wasting. Conclusions This study confirms spatial dependency in malnutrition in India and urges the need for focused interventions to tackle malnutrition. Funding Sources None.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bishal BC ◽  
Bo Liu

Purpose This paper aims to investigate whether the non-generally accepted accounting principles (GAAP) performance measures (NGMs) disclosure by high-tech initial public offering (IPO) firms signal firms’ efforts to maintain relatively high stock price levels before the expiration of the lock-up period to benefit insider selling. Design/methodology/approach The authors perform ordinary least squares and logit regressions using financial statement data and hand collected data on NGM disclosures for high-tech firms during the IPO process. Findings The authors find that the top executives of high-tech IPO firms with NGM disclosures are significantly more likely to sell and sell significantly more insider shares at the lock-up expiration than those of high-tech IPO firms without NGM disclosures. At the same time, while high-tech NGM firms have stock returns similar to their counterparts without NGMs for the period before the lock-up expiration, their stock returns are substantially lower after insider selling following the lock-up expiration. Practical implications By documenting the negative association between NGM disclosures and post-lockup expiration stock performance, the study highlights managerial deliberate optimism about the firm’s prospects which may not materialize. Hence, investors should take the NGM disclosures with a grain of salt. Originality/value This paper fills a notable void in the non-GAAP reporting literature by documenting a statistically and economically significant positive association between managerial equity trading incentives and NGM disclosures by high-tech IPO firms.


2021 ◽  
Vol 10 (10) ◽  
pp. 361
Author(s):  
Natalie Schock ◽  
Lieny Jeon

According to the Conservation of Resources theory of stress, early care and education (ECE) teachers who receive greater tangible and interpersonal supports from their workplaces will be more positive and effective in their roles. This may translate to them perceiving or eliciting greater support from families, which is a key component to family engagement, a growing area of study in the ECE landscape. This study explores whether four program-level supports (benefits, professional development supports, teacher social supports, program-level family involvement activities) are associated with teacher-perceived support from families. The hypothesis was that all four will be positively associated. This study uses survey data from 102 preschool teachers and 13 preschool program directors in urban areas of two US states. We use ordinary least squares regression with cluster-robust standard errors and a stepwise build-up modeling procedure to determine associations between independent and dependent variables. While teacher social supports had the expected positive association with teacher-perceived support from families, family involvement activities were negatively associated. Our findings suggest that programs looking to improve family engagement may consider interpersonal/cultural supports for teachers and the larger school community. All else equal, simply offering more family involvement activities may not improve engagement culture.


Sign in / Sign up

Export Citation Format

Share Document