Analysis of multistage chains in public transport: The case of Quito, Ecuador

2016 ◽  
Author(s):  
Efrain Bastidas Zelaya
Keyword(s):  
Logistic Regression ◽  
Best Practices ◽  
Public Transport ◽  
Computer Software ◽  
Binary Logistic Regression ◽  
Household Survey ◽  
Single Stage ◽  
Descriptive Statistics ◽  
Policy Makers

 Because of the growth of cities in size and population, people get used to perform several stage trips involving transfers due to advantages such as time or price paid, being multistage trips more attractive compared to single stage trips. In Quito, Ecuador, nowadays multistage trips represent one third of total daily trips. This paper seeks to identify main characteristics of multistage trips as well as find relationships and inferences that allow recommendations regarding best practices to policy makers and transport managers. The information used belong to the data collected in the Household Survey Mobility held in Quito in 2011. Based on these data, the present work starts using an analysis with descriptive statistics. The next phase of this research involves the search for a methodology in order to identify correlations between demographic, socioeconomic and transport variables related with traveler´s choice for making or not a transfer.  Best methodology found was the use of Binary Logistic Regression (Logit) and specific computer software, with which different statistic's models were performed to find the strongest correlation. The paper ends with conclusions and recommendations as well as suggestions for future research.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3530

Vulnerability of Single Women: Issue of Inclusion in Nepalese Households

2019 ◽  
Vol 1 (2) ◽  
pp. 210-221
Author(s):  
Raghu Bir Bista
Keyword(s):  
Household Survey ◽  
Academic Discourse ◽  
Single Women ◽  
Descriptive Statistics ◽  
Household Structure ◽  
Male Population ◽  
Joint Family ◽  
Policy Makers ◽  
Political Independence ◽  
Patriarchal Society

Background: Concept of single women is not an issue of trauma psychologically and socio-economically in modern household and society, unlike in traditional and patriarchal society. However, it still is a big issue in Nepalese society as well as in academic discourse and development practices, although Nepalese polity is based on postmodernism and has been following western characters. Further, developmental approachesare a proactive gender balanced from top to bottom. Objectives: To examine the relationships between single women, vulnerability level and household structure in rural Nepali society. Methods:Primary data are collected from household survey by using descriptive statistics. Results:  It finds the emergence and increment of single women due to the conflict in Nepal (1996-2006).Growing foreign employment led to divorces (1999-2019) and natural deaths of male population paving the way for multifaceted vulnerability of single women in nuclear and joint family. Conclusion:Despite the growth of financial and political independence of single women, vulnerability still is acute in Nepal. It is a barrier to single women’s happiness and empowerment. Implication:Findings of this study can be used by policy makers and concerned authorities to make decisions and take appropriate action.

Research on the roles that education plays in Chinese poverty alleviation

2017 ◽  
Vol 2 (3-4) ◽  
pp. 193-204
Author(s):  
Mengzhu Li
Keyword(s):  
Human Capital ◽  
Logistic Regression ◽  
Rural Areas ◽  
Poverty Alleviation ◽  
Capital Investment ◽  
Rural China ◽  
Binary Logistic Regression ◽  
Poverty Level ◽  
Capital Theory ◽  
Policy Makers

Human capital investment is important for reduction in poverty. This paper – based on human capital theory, taking rural households in the Wuling Mountain Region as the samples, and adopting binary logistic regression – investigates the influences that education has on poverty alleviation in rural China. The results show that educational attainment plays a crucial role in poverty alleviation. For instance, 65.65% of illiterate or just literate people make less than 2300 yuan a year, while 48.76% of those with a primary education earn money at the same level. With a greater educational level, only 34.17% are at the poverty level. The results of logistic regression further support the argument. Our research suggests that policy-makers in China’s anti-poverty action should allocate more educational resources to the poor rural areas in order to further alleviate poverty in rural China.

scholarly journals The competitiveness clusters in Croatia

2018 ◽  
Vol 69 (5) ◽  
pp. 571-593 ◽  
Author(s):  
Ivan-Damir Anić ◽  
Katarina Bačić ◽  
Zoran Aralica
Keyword(s):  
Best Practices ◽  
Descriptive Statistics ◽  
Strategy Formulation ◽  
Policy Makers ◽  
Cluster Development ◽  
Development Framework ◽  
The World ◽  
And Performance ◽  
First Time ◽  
National Framework

This study explores the perceptions of members of 13 competitiveness clusters in Croatia (CCC) towards clusters’ objectives, processes, setting and performance. Survey data (n=250) were analysed using descriptive statistics, exploratory factor analysis and regression analysis. Results indicate that progress of CCCs is not visible in the observed period and they are lagging behind successful cluster initiatives in the world. The most important reasons for underperformance are related to weaknesses inherited in cluster development framework, poor implementation of activities, inadequate resources for pursuing more ambitious objectives, lack of consensus and weaknesses in strategy formulation. The paper contributes to the literature by evaluating the program of competitiveness clusters for the first time. It examines the factors that contribute to performance of clusters, and compares CCCs with best practices of similar associations in the world. Although this research is based on perceptions of members, it has valuable implications for clusters and policy-makers. In order to strengthen existing clusters, changes in the national framework are needed, while clusters should have more resources at their disposal to reach more ambitious objectives in the future.

scholarly journals When “Best Practices” Win, Employees Lose: Symbolic Compliance and Judicial Inference in Federal Equal Employment Opportunity Cases

2015 ◽  
Vol 40 (04) ◽  
pp. 843-879 ◽  
Author(s):  
Linda Hamilton Krieger ◽  
Rachel Kahn Best ◽  
Lauren B. Edelman
Keyword(s):  
Logistic Regression ◽  
Civil Rights ◽  
Best Practices ◽  
Representative Sample ◽  
Employment Discrimination ◽  
Organizational Structures ◽  
Equal Employment Opportunity ◽  
Employment Opportunity ◽  
Policy Makers ◽  
Civil Rights Act

This article provides a new account of employers' advantages over employees in federal employment discrimination cases. We analyze the effects of judicial deference, in which judges use institutionalized employment structures to infer nondiscrimination without scrutinizing those structures in any meaningful way. Using logistic regression to analyze a representative sample of judicial opinions in federal EEO cases during the first thirty‐five years after the passage of the 1964 Civil Rights Act, we find that when judges uncritically use the presence of organizational structures to reason about whether discrimination occurred, employers are much more likely to prevail. This pattern is especially pronounced in opinions written by liberal judges. In light of these findings, we offer recommendations for judges, lawyers, and policy makers—including legal academics—who seek to improve the accuracy and efficacy of employment discrimination adjudications.

scholarly journals User’s Acceptance on e-Hailing System as Alternative Transportation by Using Modal Shift

2021 ◽  
Vol 13 (3) ◽  
Author(s):  
Muhammad Azmie Nazri ◽  
◽  
Kamarudin Ambak ◽  
Ahmad Raqib Ab Ghani ◽  
Muhamad Razuhanafi Mat Yazid ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Travel Time ◽  
Logistic Regression Analysis ◽  
Public Transport ◽  
Binary Logistic Regression ◽  
Modern Technology ◽  
Binary Logistic Regression Analysis ◽  
Contributing Factors ◽  
Modal Shift

e-Hailing system is one of the mediums that are functioning to minimize the person on using the private transportation. Due to modern technology era, internet is used to ease the user in communication. With the internet platform assist, the e-Hailing system has well in management with the users can request the destination, travel time and also the cost for this service. The objective of this study was to identify the contributing factors effect to use e-Hailing system and also to analyze modal shift between public transport and e-Hailing system. Therefore, a study towards user’s acceptance on using e-Hailing system as alternative transport based on the modal shift method with Binary Logistic regression analysis was necessary to identify factor and effect that influence modal shift occur from public transport to the alternative transport which is e-Hailing system. Johor Bahru area was the selected area as the location of the study due popular with the e-Hailing system. This study also shows the type of e-Hailing system that is used and will know the how this system really works with the safety, cost and also travel time. The binary logistic regression analysis shows that all the components were positively significant. This alternative transport is actually sending the user to the destinations that are selected by the user in the application. Therefore, the e-Hailing system is an alternative transport that must be used for people nowadays.

scholarly journals Single-Stage Pulmonary Resection via a Combination of Single Hookwire Localization and Video-Assisted Thoracoscopic Surgery for Synchronous Multiple Pulmonary Nodules

2021 ◽  
Vol 20 ◽  
pp. 153303382110425
Author(s):  
Xianglan Jin ◽  
Tiegong Wang ◽  
Luguang Chen ◽  
Pengyi Xing ◽  
Xiaoyun Wu ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Protective Factor ◽  
Thoracoscopic Surgery ◽  
Pulmonary Nodules ◽  
Binary Logistic Regression ◽  
Single Stage ◽  
Ct Guided ◽  
Multiple Pulmonary Nodules ◽  
Video Assisted ◽  
Video Assisted Thoracoscopic Surgery

Purpose: To retrospectively analyze the incidence and predictors of complications related to hookwire localization in patients with single and multiple nodules, and to evaluate the usefulness of a single-stage surgical method of single hookwire localization combined with video-assisted thoracoscopic surgery (VATS) in synchronous multiple pulmonary nodules (SMPNs). Methods: A total of 200 patients who underwent computed tomography (CT)-guided hookwire localization and subsequent VATS resection were enrolled in this study. For each patient, only 1 indeterminate nodule was implanted with a hookwire. There were 145 patients in the single-nodule group (Group S) and 55 in the multiple-nodule group (Group M). Univariate and binary logistic regression analyses were used to assess incidence and predictors of complications associated with hookwire localization. Results: The technical success rate of hookwire implantation was 97.5%. The incidence of pneumothorax and hookwire dislodgement was 17.0% and 2.5%, respectively. Binary logistic regression analysis showed that 1 transpleural puncture through the pleura (odds ratio [OR] = 0.433, P = .033) was the only independent protective factor for pneumothorax, and pneumothorax (OR = 26.114, P < .01) was the only independent risk factor for dislodgement. The volume of blood loss during VATS was significantly higher in group M than in group S, and the time of postoperative hospitalization was significantly longer in group M than in group S. About 44 patients in group M with additional 58 nodules without localization had undergone direct surgical resection simultaneously, and bilateral surgery was performed in 13 patients (29.5%). The intrathoracic recurrence rate was 4.8% during follow-up CT. Conclusion: Single-stage surgery via an approach of single hookwire localization combined with VATS is feasible and safe for SMPNs.

Exploring Support for and Solutions to Family CABs (Chauffeur-Associated Burdens)

2020 ◽  
Vol 2674 (10) ◽  
pp. 874-885
Author(s):  
Daniel P. Piatkowski
Keyword(s):  
Logistic Regression ◽  
Autonomous Vehicles ◽  
Regression Models ◽  
Family Members ◽  
Household Survey ◽  
Descriptive Statistics ◽  
Logistic Regression Models ◽  
Planning Policy ◽  
Influence Perceptions ◽  
Ability To Drive

Children who are too young to drive and adults who are unable to drive can represent a significant transportation burden, one typically shouldered by family members, i.e., “family chauffeur-associated-burdens” (Family CABs). This research examines how one’s experience chauffeuring family members influences support for strategies to address family chauffeuring burdens. The research also examines if one’s own experience chauffeuring family members affects perceptions of the possibility that they may reach a point at which they are no longer able to drive, and potentially become a transportation burden to others. Descriptive statistics and linear and logistic regression models of a household survey ( n = 349) demonstrate the significance of demographics in the type and extent of chauffeuring burdens. Chauffeur youth and money spent chauffeuring are each positively-correlated with the desire to move to a more walkable place to address chauffeuring burdens. Alternately, youth and being male are each positively-correlated with favoring technological solutions (e.g., autonomous vehicles) to address chauffeuring burdens. One’s own experience as a chauffeur does not significantly influence perceptions of eventually becoming a transportation burden for others. Women are more likely to prefer moving to a more walkable location and relying on family or friends if they are no longer able to drive, while men prefer the idea of relying on autonomous vehicles if they lose the ability to drive. Findings from this work can guide appropriate planning, policy, and technological responses to chauffeuring burdens.

scholarly journals Personal and social shame among the recipients of charity food aid in Finland

2017 ◽  
Vol 10 (1) ◽  
pp. 73-85
Author(s):  
Tuomo Laihiala ◽  
Johanna Kallio ◽  
Maria Ohisalo
Keyword(s):  
Logistic Regression ◽  
Binary Logistic Regression ◽  
The Elderly ◽  
Sociodemographic Factors ◽  
Descriptive Statistics ◽  
Food Aid ◽  
Entire Family ◽  
Highly Educated ◽  
Frequent Use ◽  
The Family

In this article, we focus on shame among the recipients of charity food aid in Finland. We are interested in whether shame is explained by sociodemographic factors, frequent use of food aid or the persons for whom the charity food is obtained. Our analysis is based on survey data collected in 2012–2013 (N = 3474). Shame is measured using two indicators that are related to social and personal shame. Descriptive statistics and binary logistic regression are utilised. Nearly three of four respondents do not perceive receiving food aid as humiliating or socially harmful. Feelings of social shame are more common when charity food aid is needed to support an entire family rather than an individual recipient, and feelings of personal shame are more common when there are two or more children in the family. The highly educated, the elderly and those with the most insufficient perceived incomes are more socially and personally ashamed than others are. Women receiving charity food aid consider it more socially shameful than men do.

Socioeconomic Moderators of the Relationship Between Different Quitting Motives and Smoking Cessation in Hong Kong Men

2017 ◽  
Vol 29 (6) ◽  
pp. 516-525 ◽  
Author(s):  
Francisco T. T. Lai ◽  
Wikki W. K. Wong ◽  
Joyce L. Y. Kwan
Keyword(s):  
Hong Kong ◽  
Binary Logistic Regression ◽  
Household Survey ◽  
Socioeconomic Background ◽  
Socioeconomic Indicators ◽  
Policy Makers ◽  
One Year ◽  
Log Linear ◽  
The Relationship

To facilitate effective tobacco control, it is important to identify the socioeconomic strata in which different quitting motives are more strongly associated with cessation. This study aims to examine such a moderating role of socioeconomic background. A total of 2022 past or current daily smoking men from the Hong Kong Thematic Household Survey 2010 who had attempted for cessation were analyzed. Binary socioeconomic indicators, quitting motives, and 1-year abstinence were entered in an exploratory backward-stepwise log-linear model, followed by a binary logistic regression to estimate the probability of one-year abstinence in each socioeconomic stratum. Results suggest that the association between cessation and health motives is stronger in less educated men ( P = .004) and nonmarried men ( P = .003). The estimated probability of cessation ranges from 0.02 (95% CI = 0.00-0.06) to 0.96 (95% CI = 0.89-1.00). Accordingly, policy makers should educate less-educated men and nonmarried men about the adverse health impacts of tobacco use.

scholarly journals Impact of COVID-19 Pandemic on Motorcycle Purchase in Dhaka, Bangladesh

2021 ◽  
Vol 2 ◽  
Author(s):  
Niaz Mahmud Zafri ◽  
Asif Khan ◽  
Shaila Jamal ◽  
Bhuiyan Monwar Alam
Keyword(s):  
Logistic Regression ◽  
Active Transport ◽  
Public Transport ◽  
Online Survey ◽  
Binary Logistic Regression ◽  
Transportation System ◽  
Sustainable Transportation ◽  
The World ◽  
Policy Measures ◽  
Transport Modes

The impacts of COVID-19 on the transportation system have received attention from researchers all over the world. Initial findings reveal that patronage of public transport has gone down, while the use of active transport has increased in general. To the best of our knowledge, no study has focused on the pandemic’s effects on motorcycle mode, let alone in the context of an Asian city. We attempted to fill this void in literature by investigating if COVID-19 has influenced people to purchase motorcycles and determining the factors driving their intentions. The study is based on an online survey of 368 people in Dhaka, the capital of Bangladesh. The study found that around 46% of the respondents were expected to increase travel by motorcycle during the post-lockdown period. About 21% of the respondents were also expected to do the opposite. Around 31% of the respondents planned to purchase a motorcycle by August 2021, and the results indicated that the pandemic has influenced more people to purchase motorcycles compared to the pre-pandemic period. The study further identified factors that influenced the respondents’ plan for purchasing a motorcycle during the post-lockdown period applying the binary logistic regression. Based on the findings of the study, policy measures were proposed for controlling the growth of motorcycle numbers and increasing the use of active transport modes as its alternative, and consequently, helping to achieve sustainable transportation outcomes.

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