scholarly journals Identifying the Factors That Increase the Probability of an Injury or Fatal Traffic Crash in an Urban Context in Jordan

2020 ◽  
Vol 12 (18) ◽  
pp. 7464
Author(s):  
Tasneem Miqdady ◽  
Juan de Oña
Keyword(s):  
Traffic Safety ◽  
Large Scale ◽  
Binary Logistic Regression ◽  
Urban Context ◽  
Traffic Crash ◽  
Logistic Regression Models ◽  
Explanatory Variables ◽  
Urban Road ◽  
Governmental Agencies ◽  
Significant Factors

The lack of robust studies carried out on urban roads in developing countries makes it difficult to enhance traffic safety, ensuring sustainable roads and cities. This study analyzes the contribution of a number of explanatory variables behind crashes involving injuries on arterial roads in Irbid (Jordan). Five binary logistic regression models were calibrated for a crash dataset from 2014–2018: one for the full database, and the others for the four main crash causes identified by Jordanian Traffic Police reports. The models show that whatever the crash cause, the three most significant factors linked to an injury or fatality lie in urban road sections that are in large-scale neighborhood areas, have fewer than six accesses per kilometer, and have a low traffic volume (under 500 veh/h/ln). Some of these results agree with previous studies in other countries. Jordan’s governmental agencies concerned with urban road safety might use these results to develop appropriate plans and implement priority actions for each crash cause, in addition to undertaking further research for comparative purposes.

scholarly journals Smallholders’ Oil Palm Agroforestry: Barriers and Factors Influencing Adoption

2021 ◽  
Vol 15 (1) ◽  
pp. 69-81
Author(s):  
Ari Susanti ◽  
Hero Marhaento ◽  
Dwiko Budi Permadi ◽  
Budiadi Budiadi ◽  
Muhammad Ali Imron ◽  
...  
Keyword(s):  
Oil Palm ◽  
Large Scale ◽  
Social Systems ◽  
Binary Logistic Regression ◽  
Commodity Price ◽  
Logistic Regression Models ◽  
Factors Influencing ◽  
Limited Scale ◽  
Climate Events

Oil palm has become an important export commodity for Indonesia and has been cultivated by both smallholders and large scale companies mainly as monoculture plantations. Research suggests that this massive monoculture practice has led to adverse impacts on natural and social systems. Smallholders encounter difficulties to cope with extreme climate events such as long dry seasons, fluctuating commodity price and long-term tenure insecurity. We argue that oil palm agroforestry (OPAF) could become a promising and realistic alternative to deal with these problems under social forestry (SF) program. To date, OPAF has been adopted by merely small number of smallholders in Indonesia in a limited scale. This article aims at analysing the barriers and factors which influence the decision of smallholders in adopting OPAF. We employ a hybrid method which combines qualitative and quantitative analysis. Binary logistic regression models were constructed to identify factors influencing OPAF adoption. Our findings suggest that education, having side job and relative location of smallholders’ have significantly influenced smallholders’ decision in adopting OPAF. Knowledge gaps especially on the yields and management of OPAF have likely led to low OPAF adoption.  

Influence of organisational innovation and innovation in general on eco-innovation in European companies

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Laura Rodríguez-Rebés ◽  
Julio Navío-Marco ◽  
Raquel Ibar-Alonso
Keyword(s):  
Binary Logistic Regression ◽  
Environmental Benefits ◽  
Knowledge Generation ◽  
Community Innovation Survey ◽  
New Approach ◽  
Content Type ◽  
Organisational Innovation ◽  
Logistic Regression Models ◽  
Starting Point ◽  
Significant Factors

PurposeThis research focuses on establishing relationships between eco-innovation and organisational innovation and innovation in general to characterise organisational eco-innovation in European Union companies. We also aim to investigate the forms of innovations that eco-innovative companies use as well as the factors or determinants of eco-innovation in the corporate environment that impel the use of organisational innovation.Design/methodology/approachWe use the estimation of different binary logistic regression models with maximum likelihood applied to a sample obtained from the Eurostat's Community Innovation Survey 2014 database as a starting point.FindingsThe results suggest that the type of organisational innovation most closely related to eco-innovation is found in work responsibility and decision-making methods. Some less frequently studied significant factors are highlighted, such as training or aspects related to intellectual capital and knowledge management, since significant indications of the importance and acquisition of existing know-how have appeared, in contrast to internal knowledge generation.Originality/valueThe study seeks to observe what specific quantitative drivers (external or internal) are used for organisational eco-innovation, as a specific subtype of eco-innovation. This can improve our understanding of the ways in which organisational innovation can be used by corporations to provide environmental benefits. The academic literature provides information on the drivers and determinants for both organisational innovation and eco-innovation separately, but we believe this article offers a new approach by looking at the specific eco-innovation drivers achieved through organisational innovation.

scholarly journals The determinants of travel mode choice: the case of Łódź, Poland

2019 ◽  
Vol 44 (44) ◽  
pp. 93-101 ◽  
Author(s):  
Szymon Wójcik
Keyword(s):  
Binary Logistic Regression ◽  
Travel Behaviour ◽  
Logistic Regression Models ◽  
Life Study ◽  
Explanatory Variables ◽  
Private Transportation ◽  
Potential Factors ◽  
The Relationship ◽  
The City

AbstractIn this study, potential factors influencing the decisions made by citizens of the city of Łódź, Poland, regarding the choice of transportation mode used in their daily travel activities were examined. In addition to a brief literature review, an empirical study was performed. Data from a previous quality-of-life study were used to enhance the scope of explanatory variables in a regression model. In order to identify the determinants of travel behaviour, binary logistic regression models were used. The results show that socio-demographic characteristics of respondents and household access to a car most influenced transport mode choices. Also, the relationship between geographic distances and subjective opinions regarding public transport were found to be statistically significant. The determinants for choosing either public or private transportation varied.

scholarly journals Risky motorcycle riding behaviour among young riders in Manipal, India

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kumar Sumit ◽  
Veerle Ross ◽  
Kris Brijs ◽  
Geert Wets ◽  
Robert A. C. Ruiter
Keyword(s):  
Factor Structure ◽  
Traffic Safety ◽  
Binary Logistic Regression ◽  
Protective Equipment ◽  
Middle Income ◽  
Logistic Regression Models ◽  
The Past ◽  
Five Factors ◽  
Total Vehicle ◽  
Motorcycle Rider

Abstract Background Motorcycles are one of the most commonly used transportation modes in low and middle-income countries. In India, motorized two-wheelers comprise 70% of the total vehicle population, and motorcycle users are considered the most vulnerable road users. It is essential to understand the risky riding behaviour and associated factors among the motorcyclists to develop evidence-based traffic safety programs targeting motorcycle riders. The purpose of the current study was two-fold. First, it aimed to determine the appropriate structure of a modified version of the MRBQ among young riders in Manipal, India. Second, it assessed to what extent MRBQ factors were associated with self-reported crash involvement and violations. Methods The motorcycle rider behaviour questionnaire (MRBQ) is a 43-item scale that assesses five aspects of risky motorcycle rider behaviour, i.e., violations, control errors, traffic errors, stunts, and protective equipment. The MRBQ, along with measures of socio-demographic variables and the number of motorcycle crashes, was filled out by 300 young motorcycle riders who were in the age group of 18–25 years and had been riding for at least the past three years (93% males, 92.3% students). Results Five factors emerged out of the MRBQ after an exploratory factor analysis: traffic errors, control errors, stunts, protective equipment, and violations. Cronbach’s alpha for these factors ranged from .66 to .82. Reports of performing stunts and committing violations were positively associated with self-reported near-crash experiences over the past three months. Riders reporting stunts, violations and using a motorcycle of 125-200 cc reported having received more fines in the last three months. These findings were confirmed in both univariate and multivariate binary logistic regression models. Conclusion The study assessed the factor structure of a modified version MRBQ and the extracted factors associations with self-reported crash involvement. The factor structure revealed in the current study is consistent with MRBQ factor structures found in other countries. However, the support for a relationship between MRBQ factors and self-reported crashes was less significant. The findings suggest that if replicated by future studies, local policymakers are advised to focus on the five MRBQ factors while planning future interventions to achieve a reduction in the number of road crashes among motorcyclists.

scholarly journals Satisfaction with travel, ideal commuting, and accessibility to employment

2021 ◽  
Vol 14 (1) ◽  
pp. 995-1017
Author(s):  
John P. Pritchard ◽  
Karst Geurs ◽  
Diego B. Tomasiello ◽  
Anne Slovic ◽  
Adelaide Nardocci ◽  
...  
Keyword(s):  
Large Scale ◽  
Strong Predictor ◽  
Binary Logistic Regression ◽  
Linear Modeling ◽  
Metropolitan Regions ◽  
Job Accessibility ◽  
Logistic Regression Models ◽  
Large Scale Survey ◽  
The Impact ◽  
Travel Satisfaction

This paper explores relationships between commuting times, job accessibility, and commuting satisfaction based on a large-scale survey applied in the Greater London Area (GLA), the municipality of São Paulo (MSP) and the Dutch Randstad (NLR). Potential accessibility to jobs is estimated under 3 different scenarios: reported actual commuting times (ACT), ideal commuting times (ICT), and maximum willingness to commute (MCT). In addition, binary logistic regression models, estimated using generalized linear modeling (GLM), are performed to assess the impact of these temporal preferences on the likelihood of being satisfied with commuting. As expected, ideal and maximum commuting preferences strongly impact the volume and spatial distribution of the measured accessibility to jobs. In the selected case studies, estimated ICT-based job accessibility significantly decreases total measured accessibility (60 to 100 percent), with those living in the lowest accessibility zones impacted most. Furthermore, although specific results varied between regions, the overall findings show an association between ACT and satisfaction. Likewise, commuting mode is found to be a strong predictor of travel satisfaction. Those actively traveling in all three metropolitan regions tend to be more satisfied with their commutes. Potential job accessibility is found to be only weakly associated with travel satisfaction.

scholarly journals Opposition in Japan to the Olympics during the COVID-19 pandemic

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Takumi Kato
Keyword(s):  
Large Scale ◽  
Online Survey ◽  
Economic Benefits ◽  
Disease Spread ◽  
City Governments ◽  
Factors Affecting ◽  
Logistic Regression Models ◽  
Explanatory Variables ◽  
Mega Events ◽  
Negative Effect

AbstractLittle is known about the responses of citizens toward sporting mega-events held during a period of extended disasters, such as the 2020 Olympics held during the COVID-19 pandemic. This study aims to clarify the factors affecting citizens’ attitudes by testing the following hypotheses: the perception of high cost, the burden on medical institutions, and high risk of infectious disease spread negatively affect attitudes, while the perception of pandemic countermeasures, economic benefits, and athletes positively affect attitudes. Based on an online survey of 800 citizens before the 2020 Olympics, the hypotheses were tested using logistic regression models with the extracted factors as the explanatory variables and the attitude toward the Olympics as the objective variable. The test results confirm the factors lineated by the hypotheses, except for the perception of high cost. The fear of a healthcare system collapse from the medical burden of dealing with an outbreak has an especially strong negative effect on the attitude toward the Olympics. These results have important implications for city governments and municipalities and suggest that they should not underestimate citizens’ perceptions and attitudes when organizing mega-events and formulating proper communication. Further, the results may offer insights for the smooth strategic planning of large-scale events during unprecedented disasters.

scholarly journals Sexual satisfaction and associated individual factors among midlife and older people in Ile-Ife, Southwest Nigeria: implications for sexual and reproductive health

2020 ◽  
Vol 9 (10) ◽  
pp. 4045
Author(s):  
Rhoda Oluwatofunmi Omotosho ◽  
Bola Lukman Solanke
Keyword(s):  
Older People ◽  
Sexual Satisfaction ◽  
Associated Factors ◽  
Older Persons ◽  
Binary Logistic Regression ◽  
Individual Characteristics ◽  
Outcome Variable ◽  
Logistic Regression Models ◽  
Explanatory Variables ◽  
Southwest Nigeria

Background: Studies in Nigeria have rarely documented the prevalence and associated factors of sexual satisfaction among the midlife and older persons as a special group of underserved population in the country. This study investigates the prevalence and individual associated factors of sexual satisfaction among the midlife and older people in Ile-Ife, Southwest Nigeria.Methods: A sample size of 404 was analysed in the study. The outcome variable was sexual satisfaction. The explanatory variables are sets of individual and relational characteristics. Data were analysed using Stata 14. Bivariable and multivariable binary logistic regression models were estimated.Results: Findings reveal 42.0% level of sexual satisfaction. Higher educational attainment (AOR=0.864, p<0.01; 95% CI: 0.841-0.886), longer length of marriage (AOR=0.931, p<0.01; 95% CI: 0.912-0.950), remarriage (AOR=0.536, p<0.01; 95% CI: 0.387-0.742), economic inactivity (AOR=0.456, p<0.01; 95% CI: 0.322-0.646) reduces the odds of sexual satisfaction while absence of serious health challenges (AOR=2.742, p<0.01; 95% CI: 1.594-4.716) and spousal high wealth level (AOR=1.038, p<0.01; 95% CI: 1.017-1.059) increase the odds of sexual satisfaction.Conclusions: Individual characteristics of midlife and older men and women are significantly associated with their sexual satisfaction. These characteristics should be targeted in a special programme focusing on midlife and older persons in Nigeria. 

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

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