scholarly journals Safety Impact Analysis of Lane Conversion on Selected Highway Corridor

2021 ◽  
Author(s):  
Swathy P Mohan ◽  
Archana S ◽  
Ebin Sam S
Keyword(s):  
Significant Relationship ◽  
Poisson Regression ◽  
Regression Models ◽  
Impact Analysis ◽  
Black Spot ◽  
Segment Length ◽  
Weighted Sum ◽  
Before And After ◽  
Spot Analysis

The safety impact analysis of a widened corridor stretch of NH 66 was carried out in this study. A before and after black spot analysis was conducted using Arc Map 10.6 to identify significant hotspots using spatial joining and Getis Ord analysis. Two Poisson regression models were formulated for the weighted sum of fatal and grievous accidents for both pre lane widening as well as post lane widening conditions. The weighted sum of accidents showed a significant relationship with AADT value and black spot segment length in both models. It was found that 40-50 % reduction of crashes due to the lane conversion was estimated at a selected AADT range.

scholarly journals Anticipated help-seeking for cancer symptoms before and after the coronavirus pandemic: results from the Onco-barometer population survey in Spain

2021 ◽  
Author(s):  
Dafina Petrova ◽  
Marina Pollán ◽  
Miguel Rodriguez-Barranco ◽  
Dunia Garrido ◽  
Josep M. Borrás ◽  
...  
Keyword(s):  
Poisson Regression ◽  
Help Seeking ◽  
Regression Models ◽  
Population Survey ◽  
Waiting Times ◽  
Perceived Barriers ◽  
Older Individuals ◽  
Cancer Symptoms ◽  
Before And After ◽  
Diagnostic Delays

Abstract Background The patient interval—the time patients wait before consulting their physician after noticing cancer symptoms—contributes to diagnostic delays. We compared anticipated help-seeking times for cancer symptoms and perceived barriers to help-seeking before and after the coronavirus pandemic. Methods Two waves (pre-Coronavirus: February 2020, N = 3269; and post-Coronavirus: August 2020, N = 1500) of the Spanish Onco-barometer population survey were compared. The international ABC instrument was administered. Pre–post comparisons were performed using multiple logistic and Poisson regression models. Results There was a consistent and significant increase in anticipated times to help-seeking for 12 of 13 cancer symptoms, with the largest increases for breast changes (OR = 1.54, 95% CI 1.22–1–96) and unexplained bleeding (OR = 1.50, 1.26–1.79). Respondents were more likely to report barriers to help-seeking in the post wave, most notably worry about what the doctor may find (OR = 1.58, 1.35–1.84) and worry about wasting the doctor’s time (OR = 1.48, 1.25–1.74). Women and older individuals were the most affected. Conclusions Participants reported longer waiting times to help-seeking for cancer symptoms after the pandemic. There is an urgent need for public interventions encouraging people to consult their physicians with symptoms suggestive of cancer and counteracting the main barriers perceived during the pandemic situation.

scholarly journals Examining the Effects of the Sacramento Dockless E-Bike Share on Bicycling and Driving

2021 ◽  
Vol 13 (1) ◽  
pp. 368
Author(s):  
Dillon T. Fitch ◽  
Hossain Mohiuddin ◽  
Susan L. Handy
Keyword(s):  
Travel Behavior ◽  
Regression Models ◽  
Population Level ◽  
Panel Survey ◽  
Multilevel Regression ◽  
Combine Data ◽  
Cross Sectional ◽  
Individual Level ◽  
Before And After ◽  
Bike Share

One way cities are looking to promote bicycling is by providing publicly or privately operated bike-share services, which enable individuals to rent bicycles for one-way trips. Although many studies have examined the use of bike-share services, little is known about how these services influence individual-level travel behavior more generally. In this study, we examine the behavior of users and non-users of a dockless, electric-assisted bike-share service in the Sacramento region of California. This service, operated by Jump until suspended due to the coronavirus pandemic, was one of the largest of its kind in the U.S., and spanned three California cities: Sacramento, West Sacramento, and Davis. We combine data from a repeat cross-sectional before-and-after survey of residents and a longitudinal panel survey of bike-share users with the goal of examining how the service influenced individual-level bicycling and driving. Results from multilevel regression models suggest that the effect of bike-share on average bicycling and driving at the population level is likely small. However, our results indicate that people who have used-bike share are likely to have increased their bicycling because of bike-share.

Do quadratic and Poisson regression models help to predict monthly rainfall?

2021 ◽  
Vol 215 ◽  
pp. 288-318
Author(s):  
Youssef Kassem ◽  
Hüseyin Gökçekuş
Keyword(s):  
Poisson Regression ◽  
Regression Models ◽  
Monthly Rainfall

Changes in tobacco depictions after implementation of tobacco-free film and TV rules in Bollywood films in India: a trend analysis

2021 ◽  
pp. tobaccocontrol-2021-056629
Author(s):  
Gaurang P Nazar ◽  
Monika Arora ◽  
Nitika Sharma ◽  
Surbhi Shrivastava ◽  
Tina Rawal ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Trend Analysis ◽  
Poisson Regression ◽  
Poisson Regression Analysis ◽  
Free Film ◽  
Rule Compliance ◽  
Increasing Trend ◽  
Before And After ◽  
Year 2013

BackgroundIndia’s tobacco-free film and TV rules were implemented from 2012. To assess the effect of the rules, we studied tobacco depictions in top-grossing Bollywood films released between 2006 and 2017 and rule compliance after 2012.MethodsTobacco incidents and brand appearances were coded in 240 top-grossing Bollywood films (2006–2017) using the Breathe California method. Trends in number of tobacco incidents per film per year were studied before and after implementation of the rules using Poisson regression analysis. Compliance with rules over the years was studied using Pearson product-moment correlations.ResultsForty-five films were U-rated (all ages), 162 were UA-rated (below age 12 years must be adult-accompanied), and 33 were A-rated (age 18+ years only). Before implementation of the rules, the number of tobacco incidents per film was increasing by a factor of 1.1/year (95% CI 1.0 to 1.2, p=0.002). However, beginning year 2013, the number of incidents per film started falling significantly by a factor of 0.7/year (95% CI 0.6 to 0.9; p=0.012) compared with the previous increasing trend. The percentage of youth-rated (U and UA) films with any tobacco incidents also declined from a peak of 76% in 2012 to 35% in 2017. The percentage of films complying with the rules (audio-visual disclaimers, health spots, static warnings) did not change significantly from 2012 to 2017.ConclusionIndia’s 2012 rules were followed by a reduction in tobacco depictions in Bollywood films. Enhanced monitoring of compliance is needed to ensure the continued effectiveness of the rules.

scholarly journals Black Spot Analysis on NH-21A

2016 ◽  
Vol 9 (44) ◽  
Author(s):  
Arun Kumar ◽  
Ajay Singh Chauhan ◽  
Abhishek Thakur ◽  
Khushpreet Singh ◽  
Aditya Tiwary
Keyword(s):  
Black Spot ◽  
Spot Analysis

Group regularization for zero-inflated poisson regression models with an application to insurance ratemaking

2018 ◽  
Vol 46 (9) ◽  
pp. 1567-1581 ◽  
Author(s):  
Shrabanti Chowdhury ◽  
Saptarshi Chatterjee ◽  
Himel Mallick ◽  
Prithish Banerjee ◽  
Broti Garai
Keyword(s):  
Poisson Regression ◽  
Regression Models

scholarly journals Changes of China’s agri-food exports to Germany caused by its accession to WTO and the 2008 financial crisis

2015 ◽  
Vol 7 (2) ◽  
pp. 262-279 ◽  
Author(s):  
Zhichao Guo ◽  
Yuanhua Feng ◽  
Thomas Gries
Keyword(s):  
Time Series ◽  
Financial Crisis ◽  
Regression Models ◽  
Structural Breaks ◽  
Global Financial Crisis ◽  
Middle Part ◽  
Change Points ◽  
Content Type ◽  
The World ◽  
Before And After

Purpose – The purpose of this paper is to investigate changes of China’s agri-food exports to Germany caused by China’s accession to WTO and the global financial crisis in a quantitative way. The paper aims to detect structural breaks and compare differences before and after the change points. Design/methodology/approach – The structural breaks detection procedures in this paper can be applied to find out two different types of change points, i.e. in the middle and at the end of one time series. Then time series and regression models are used to compare differences of trade relationship before and after the detected change points. The methods can be employed in any economic series and work well in practice. Findings – The results indicate that structural breaks in 2002 and 2009 are caused by China’s accession to WTO and the financial crisis. Time series and regression models show that the development of China’s exports to Germany in agri-food products has different features in different sub-periods. Before 1999, there is no significant relationship between China’s exports to Germany and Germany’s imports from the world. Between 2002 and 2008 the former depends on the latter very strongly, and China’s exports to Germany developed quickly and stably. It decreased, however suddenly in 2009, caused by the great reduction of Germany’s imports from the world in that year. But China’s market share in Germany still had a small gain. Analysis of two categories in agri-food trade also leads to similar conclusions. Comparing the two events we see rather different patterns even if they both indicate structural breaks in the development of China’s agri-food exports to Germany. Originality/value – This paper partly originally proposes two statistical algorithms for detecting different kinds of structural breaks in the middle part and at the end of a short-time series, respectively.

scholarly journals Evaluasi Kebijakan Revitalisasi Pasar Tradisional : Studi Pasar Akau Potong Lembu Kota Tanjungpinang

2020 ◽  
Vol 6 (3) ◽  
pp. 294-309
Author(s):  
Jamhur Poti ◽  
Mahadiansar Mahadiansar
Keyword(s):  
Public Space ◽  
Impact Analysis ◽  
Regional Government ◽  
Traditional Markets ◽  
Evaluation Approach ◽  
Library Research ◽  
Physical Form ◽  
Before And After ◽  
The Impact

Revitalizing traditional markets is a form of improving the quality of public space as a policy of the regional government in cooperation with local communities. The purpose of revitalizing traditional markets is not merely to improve the physical form of traditional markets but also to manage these traditional markets. The researcher raised a case study on the policy after revitalizing the Lembu Market, Tanjungpinang City, to what extent the policies that have been implemented before and after the market revitalization match the public's expectations, it is necessary to evaluate the programs that have been implemented. Researchers used policy evaluation techniques with a formal evaluation approach using Dunn 2018 theory. The research method used by researchers used library research, by carrying out a search of several library sources such as e-books, journals, websites, organizational reports, and other good documents. print and online relevant to the topic being evaluated. The results showed that the evaluation of the revitalization program for the beef slaughter market in the city of Tanjungpinang had not found the value of cross-impact analysis and discounting on the program so that the revitalization of traditional markets was only in the form of target mapping, value clarification and mapping of barriers that had become the impact of the revitalization policy of the traditional cattle slaughter market in Tanjungpinang City. The researcher also did not find Urgency in realizing the traditional market revitalization policy in order to change the characteristics of the market for the better.

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