scholarly journals Modelling Port Water Collision Risk Using Traffic Conflicts

2011 ◽  
Vol 64 (4) ◽  
pp. 645-655 ◽  
Author(s):  
Ashim Kumar Debnath ◽  
Hoong Chor Chin ◽  
Md. Mazharul Haque
Keyword(s):  
Logistic Model ◽  
Influential Factors ◽  
Regulatory Control ◽  
Confined Water ◽  
Collision Risk ◽  
Traffic Intersection ◽  
Traffic Conflicts ◽  
Time Periods ◽  
Lower Depth ◽  
Binomial Logistic Model

Navigational collisions are one of the major safety concerns for many seaports. Despite the extent of work recently done on collision risk analysis in port waters, little is known about the influential factors of the risk. This paper develops a technique for modelling collision risks in port waterways in order to examine the associations between the risks and the geometric, traffic, and regulatory control characteristics of waterways. A binomial logistic model, which accounts for the correlations in the risks of a particular fairway at different time periods, is derived from traffic conflicts and calibrated for the Singapore port fairways. Results show that the fairways attached to shoreline, traffic intersection and international fairway attribute higher risks, whereas those attached to confined water and local fairway possess lower risks. Higher risks are also found in the fairways featuring higher degree of bend, lower depth of water, higher numbers of cardinal and isolated danger marks, higher density of moving ships and lower operating speed. The risks are also found to be higher at night.

scholarly journals Trade credit management in wholesale companies based on statistical methods

2018 ◽  
Vol 15 (5) ◽  
pp. 27-39
Author(s):  
E. V. Ermakova
Keyword(s):  
Discriminant Analysis ◽  
Statistical Methods ◽  
Logistic Model ◽  
Trade Credit ◽  
Delay Period ◽  
Credit Management ◽  
Financial Characteristics ◽  
Reasonable Choice ◽  
Different Characteristics ◽  
Binomial Logistic Model

Study purpose. The paper shows the application of statistical methods for the trade credit management in the wholesale Russian companies. In this industry, the companies deal with a huge amount of customers, while trade credit is a common practice. As a result, fast and reasonable choice of trade credit terms becomes especially important for wholesale companies. The main study purpose is to provide the methods to choose the trade credit terms.Materials and methods. In this paper, the methods for trade credit management are based of the empirical research where binomial logistic model and discriminant analysis were used. The binomial logistic model was used to assess the customers’ reliability, his inclination to violate the terms specified in the contract. The delay period must be chosen when trade credit is provided. In the paper, the discriminant analysis was applied to make the decision. The discriminant functions allow choosing such a period of delay that will be broken with the least probability by the customer with certain financial and non-financial characteristics. The data used refer to 11 Russian companies from the wholesale industry and include 720 observations for 2016-2017.Results. As a result, the possibility of due repayment may be evaluated and the payment delay may be selected according to individual customers’ characteristics. Eight factors that characterize the liquidity of the purchaser, its profitability, turnover, and non-financial factors became significant to assess the reliability. In conclusion, the paper contains the practical example for four hypothetical purchasers with different characteristics. The higher the reliability of the customer, the more attractive conditions can be offered for him, depending on the propensity to risk of the wholesale company, as well as its financial opportunities.Conclusion. This article contains the model to evaluate the possibility of due repayment and algorithm to select the payment delay, which are based on the binomial logistic model and classification functions. Although there are a large number of methods to select the terms of trade credit, the majority of them have serious limitations. The most of methods are based only on the professional experience, while statistical analysis, in presence, is based on data of one company because of the confidentiality of necessary information. In contrast, this article is based on the empirical data and includes the delay period selection, which is slightly enlightened in the literature.

scholarly journals Investigating the Influential Factors of Shared Travel Behavior: Comparison between App-Based Third Taxi Service and Free-Floating Bike Sharing in Nanjing, China

2019 ◽  
Vol 11 (16) ◽  
pp. 4318 ◽  
Author(s):  
Mingyang Du ◽  
Lin Cheng ◽  
Xuefeng Li ◽  
Jingzong Yang
Keyword(s):  
Travel Behavior ◽  
Logistic Model ◽  
Influential Factors ◽  
Competition Effect ◽  
Multinomial Logistic Model ◽  
Significant Difference ◽  
Bike Sharing ◽  
Taxi Service ◽  
Geographical Position ◽  
The Government

In recent years, app-based third taxi service (ATTS) and free-floating bike sharing (FFBS) have become significant travel modes to satisfy travel demands of urban residents. In order to explore the mechanism of their modes selection, firstly, based on 595 valid samples, differences between ATTS and FFBS in original modes, travel distance, geographical position distribution, and travel emergency degree were compared. Then, a multinomial logistic model was established to investigate the factors influencing the choice among ATTS, FFBS, and traditional travel modes (TTM). The results show that: (1) FFBS attracts users whose original modes are walking, private bicycle and bus, while ATTS has a certain competition effect on cruising taxi and bus. (2) Residents are more likely to change from bus to FFBS on weekends, while this competitive relationship between ATTS and bus has no significant difference in different dates. (3) Compared with TTM, residents are more inclined to utilize shared modes to participate in flexible activities, especially in suburb. (4) Interestingly, ATTS is more likely to be utilized in emergency travel, and the residents without registered permanent residences tend to use FFBS and ATTS. Finally, some suggestions and policies were proposed for the government and enterprises to improve operation managements.

scholarly journals Using Cellular Automata to Investigate Pedestrian Conflicts with Vehicles in Crosswalk at Signalized Intersection

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Xiaomeng Li ◽  
Xuedong Yan ◽  
Xingang Li ◽  
Jiangfeng Wang
Keyword(s):  
Cellular Automata ◽  
Signalized Intersections ◽  
Influential Factors ◽  
Urban Traffic ◽  
Signalized Intersection ◽  
Signal Timing ◽  
Cellular Automata Model ◽  
Intersection Safety ◽  
Traffic Conflicts ◽  
Simulation Results

The operational efficiency and safety of pedestrian flows at intersections is an important aspect of urban traffic. Particularly, conflicts between pedestrians and vehicles in crosswalk are one of the most influential factors for intersection safety. This paper presents a cellular automata model that simulates pedestrian and vehicle crossing behaviors at signalized intersections. Through the simulation, we investigate the effects of different pedestrian signal timing and crosswalk widths on the crosswalk capacity, the number of traffic conflicts between pedestrians and vehicles, and pedestrian delay due to the conflicts. The simulation results indicate that the cellular automata is an effective simulation platform for investigating complex pedestrian-related traffic phenomenon at signalized intersections.

scholarly journals Factors influencing early initiation of breastfeeding among mothers in Rajshahi district, Bangladesh

2020 ◽  
Author(s):  
Ummay Ayesha ◽  
Abu Sayed Md. Al M ◽  
Md. Nurul Islam ◽  
Md. Ripter Hossain ◽  
Samme Amena Tasmia ◽  
...  
Keyword(s):  
Breast Milk ◽  
Logistic Model ◽  
Binary Logistic Regression ◽  
Influential Factors ◽  
Early Initiation ◽  
Binary Logistic Regression Model ◽  
Chi Square ◽  
Place Of Delivery ◽  
Early Initiation Of Breastfeeding ◽  
Initiation Of Breastfeeding

Abstract Background Early initiation of breastfeeding (EIBF) is referred as providing the breast milk to the newborn within one hour of birth which ensures that the infant receives the colostrum. The aim of this study was to identify the risk factors associated with early initiation of breastfeeding among mothers in Rajshahi district, Bangladesh. Methods The data was collected from mothers living in Rajshahi district who had at least one child aged 6–24 months from January to March, 2019. The EIBF was measured by a question to mother, “did you provide your breast milk to your infant within one hour after delivered? Frequency distribution, Chi-square and multivariable binary logistic regression model were utilized in this study for getting prevalence and influential factors of EIBF. Results This study revealed that the prevalence of EIBF was 88.4%. Logistic model provided that place of delivery, family monthly income, husbands’ education level, mothers’ nutritional status, mothers’ age, husbands’ occupation, getting pregnancy with planning, mothers taking advice regarding the benefit of breastfeeding during their pregnancy were the influential factors of EIBF among mothers in Rajshahi district, Bangladesh. Conclusions This study identified several modifiable influential factors of EIBF. The customs, culture and other characteristics are almost same across the country in Bangladesh. These factors could be considered to increase the rate of EIBF among mothers in Bangladesh.

scholarly journals Recommended Widths for Separated Bicycle Lanes Considering Abreast Riding and Overtaking

2018 ◽  
Vol 10 (9) ◽  
pp. 3127 ◽  
Author(s):  
Xingchen Yan ◽  
Tao Wang ◽  
Xiaofei Ye ◽  
Jun Chen ◽  
Zhen Yang ◽  
...  
Keyword(s):  
Logistic Model ◽  
Minimum Width ◽  
Electric Bicycle ◽  
Bicycle Lane ◽  
Binomial Logistic Model

The paper aimed to develop width recommendations for separated bicycle lanes considering abreast riding and overtaking behaviors. We investigated eight segments of separated bicycle lanes in Nanjing with cameras, analyzed the major types of abreast riding and overtaking, and then explored the volume threshold for two-abreast riding as well as the suitable clearances in a comfortable overtaking, using a binomial logistic model for both. The main results and conclusions are as follows: (1) two-abreast riding and an electric bicycle passing a conventional bicycle were the main categories of abreast riding and overtaking, respectively. (2) The volume threshold at which two-abreast riding occurred was 1075 bicycles/h/m. (3) Distances of 0.48 m, 1.48 m, and 0.56 m were the suitable clearances for the distance from the center of the passed rider to the nearest curb, the distance center to the center of riders while overtaking, and the distance from the center of the passing rider to the nearest curb, respectively. (4) Below 1075 bicycles/h/m, a bicycle lane 2 m in width was acceptable; above that, 2.5 m was suggested as the minimum width of the bicycle lane.

scholarly journals UNDERSTANDING THE FACTORS INFLUENCING BANKING CUSTOMERS’ FINANCIAL ASSET OWNERSHIP

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Aimatul Yumna ◽  
Joan Marta
Keyword(s):  
Life Cycle ◽  
Financial Services ◽  
Logistic Model ◽  
Primary Data ◽  
Financial Asset ◽  
Financial Assets ◽  
Asset Ownership ◽  
Research Questions ◽  
Four Levels ◽  
Binomial Logistic Model

The objective of this study is to evaluate the factors which influence banking customers' financial asset ownership. Using the pyramid of Maslahah framework, the study classifies the needs of banking customers into four levels: those for basic financial services (hajjiyat); for financial assets for security or as a precaution (darruriyat); for financial assets for investment (tahsiniyah); and those for financial assets for religious purposes. To answer the research questions, a binomial logistic model was applied and the primary data were collected using a questionnaire survey with 300 respondents in Indonesia. It was found that the pattern of ownership of financial assets follows the order proposed in the theory of the pyramid of Maslahah. The study also found that financial asset ownership for transaction needs was mainly influenced by the variables of income and credit and that ownership of such assets for security or precautionary needs was largely determined by life cycle variables. In addition, ownership for investment needs was strongly influenced by the level of education,  and for religious needs it was mainly determined by income levels and life cycle variables. The study findings provide important information for mapping the financial needs of Islamic banking customers.

How to Evaluate Remote Tower Metrics in Connection With Weather Observations

2018 ◽  
Vol 8 (2) ◽  
pp. 100-111 ◽  
Author(s):  
Maik Friedrich ◽  
Christoph Möhlenbrink
Keyword(s):  
Traffic Control ◽  
Air Traffic Control ◽  
Influential Factors ◽  
Air Traffic ◽  
Weather Event ◽  
Evaluation Of Performance ◽  
Weather Events ◽  
Weather Observations ◽  
Validation Experiment ◽  
Remote Controller

Abstract. Owing to the different approaches for remote tower operation, a standardized set of indicators is needed to evaluate the technical implementations at a task performance level. One of the most influential factors for air traffic control is weather. This article describes the influence of weather metrics on remote tower operations and how to validate them against each other. Weather metrics are essential to the evaluation of different remote controller working positions. Therefore, weather metrics were identified as part of a validation at the Erfurt-Weimar Airport. Air traffic control officers observed weather events at the tower control working position and the remote control working position. The eight participating air traffic control officers answered time-synchronized questionnaires at both workplaces. The questionnaires addressed operationally relevant weather events in the aerodrome. The validation experiment targeted the air traffic control officer’s ability to categorize and judge the same weather event at different workplaces. The results show the potential of standardized indicators for the evaluation of performance and the importance of weather metrics in relation to other evaluation metrics.

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