Post encroachment time threshold identification for right-turn related crashes at unsignalized intersections on intercity highways under mixed traffic

Abstract

Unsignalized intersections in developing countries experience many serious conflicts between cross-traffic due to indiscipline traffic manoeuvrability. Historically, Post Encroachment Time (PET) has gained attention as a proximal indicator to analyze crossing conflicts. However, identifying an appropriate PET threshold to classify critical conflicts for highly heterogeneous traffic scenario is still an unexplored area. Consequently, this study proposes a novel approach of PET threshold identification with proof of application by collecting data from ten intersections located on four-lane intercity highways in the National Capital Region (NCR), India. Both crossing conflicts and right-turn related crash data (for the left-hand drive) are collected. Their correlations are thoroughly studied for each PET threshold using a quantitative technique considering all and individual vehicle categories. Finally, a qualitative analysis is done by ranking the sites based on cumulative PET and related crashes to verify the proposed quantitative technique. A PET threshold of 1?s is obtained from both the techniques which can be used to identify critical conflicts for unsignalized intersections located on four-lane intercity highways. The proposed methodology will serve as an alternative, faster and effective tool to evaluate the hazardousness of unsignalized intersections located on intercity highways under highly heterogeneous traffic condition.     

Victims of road accidents with serious injuries and dependence on some individual,climatic and infrastructure factors on federal highways in Brazil

Abstract

Road or urban traffic accidents in Brazil have a large presence in external causes of mortality. The main goal of this study is to discover significant factors in the incidence of accidents on Brazilian highways based on a database with information on each person injured on federal highways in Brazil reported by the Federal Highway Police. Some factors are considered in the study as cause of the accident, type of accident, stage of the day, weather condition, highway type, highway facility, age of the victim, gender of the victim and type of vehicle. From the obtained results of chi-square tests and logistic regression models, it was observed statistical dependence (p?<?0.05) of the occurrence of injured people with serious injuries and the factors cause of the accident, type of accident, day, highway type and vehicle type. Considering the dead victims, the covariates age, time of day, highway type, highway facility, gender and type of vehicle showed significance (p?<?0.05). These results are of great interest for authorities to increase road enforcement, improve highway facilities and target the production of vehicles with better safety standards.     

Modelling driver propensity for traffic accidents: a comparison of multiple regression analysis and fuzzy approach

Abstract

This research proposes an assessment and decision support model to use when a driver should be examined about their propensity for traffic accidents, based on an estimation of the driver’s psychological traits. The proposed model was tested on a sample of 305 drivers. Each participant completed four psychological tests: the Barratt Impulsiveness Scale (BIS-11), the Aggressive Driving Behaviour Questionnaire (ADBQ), the Manchester Driver Attitude Questionnaire (DAQ) and the Questionnaire for Self-assessment of Driving Ability. In addition, participants completed an extensive demographic and driving survey. Various fuzzy inference systems were tested and each was defined using the well-known Wang-Mendel method for rule-base definition based on empirical data. For this purpose, a programming code was designed and utilized. Based on the obtained results, it was determined which combination of the considered psychological tests provides the best prediction of a driver’s propensity for traffic accidents. The best of the considered fuzzy inference systems might be used as a decision support tool in various situations, such as in recruitment procedures for professional drivers. The validity of the proposed fuzzy approach was confirmed as its implementation provided better results than from statistics, in this case multiple regression analysis.     

Road traffic crashes at night-time: characteristics and risk factors

Abstract

The study was to examine the nature and risk factors associated with road traffic crashes at night in Ghana and identify potential measures to control them. Crash and injury data for the period 2013-2017 were analyzed. The fatality index and fatal crash ratio measures were employed to assess the severity of injuries among traffic participants. Statistical analysis was carried out for the variables using contingency tables and the chi-square (χ²) tests to assess statistical significance. Generally, night-time traffic crashes resulted in severer injury outcomes than crashes in the hours of daylight (χ²(2)=292.7, p?<?0.001). The relative risk of death in a night traffic crash was 1.3 times that during the daytime. The risk of death was highest among pedestrians (44%) and motorcyclist (18%) compared to bus/mini-bus occupants (16%) and car occupants (11%) and the observed percentage differences were significant (χ²(14)=2303.2, p?<?0.001). Most of the collisions (67%) occurred at the early hours of the night, between 18:00 and 22:00?hours. Poor night visibility coupled with poor visual guidance on roads are the key contributory risk factors associated with night travels. Policies must be geared towards provision of functioning street lights in built-up areas, road line markings, delineators and signage for the highways and arterial roads.     

Investigation of pedestrian crashes using multiple correspondence analysis in India

Abstract

Pedestrian safety is of growing concern with an increasing number of traffic accidents, especially in developing economies like India. In 2017, there were 20,457 pedestrian fatalities in India. Pedestrian crashes have also become a key concern in the state of Tamilnadu, India, due to the high percentage of deaths. If the available datasets are large and complex, identifying key factors is a challenging task. In this study, Multiple Correspondence Analysis (MCA), an exploratory data analysis technique was used to explore the roadway, traffic, crash, and pedestrian-related variables influencing pedestrian crashes. This study used the data from Government of Tamilnadu Road Accident Traffic Management System (RADMS) database, to analyse accident data of nine years (2009–2017) related to pedestrian crashes. The results of the study show that crashes occurring on the express highways on a multilane road are often associated with hit-and-run behaviour among drivers. Factors such as lighting conditions, location, pedestrian behaviour, crossings, and physical separation are also significantly contributing to pedestrian crashes. The key advantage of MCA is that it identifies a possible association between various contributing factors. The findings from this study will be useful for state transport authorities to improve countermeasures for mitigating pedestrian crashes and fatalities.     

Unpacking the interplay between organisational factors and the economic environment in the creation of consumer vulnerability

ABSTRACT

Access to credit is a key enabler of modern life. Yet many consumers face factors beyond their control which sometimes render them unable to borrow from mainstream lenders. This paper documents how firm-related factors determine lending thresholds and shape who is, or is not, a creditworthy customer. The impact of the 2008 economic recession on lending decisions is explored, an aspect that has been insufficiently discussed even though recessions are cyclical events. Drawing on semiotics and using multiple case studies, the study captures not only the groups that were excluded but also the reasons for exclusion. Empirical support is offered for the notion of vulnerability as a fluid state and the role of the timing of decisions as a source of vulnerability is described.     

The Role of Consumer Characteristics and Attitudes in Purchase Behavior of Domestic versus Foreign Made Products

Abstract

The aim of this study was to investigate the role of factors underlying consumer choice of domestic vs. foreign products on a sample of consumers in a less traditional post-socialist economy of Slovenia. Empirical results confirmed the postulated relationships among the protectionism dimension of ethnocentric attitudes, familiarity with global brands and consumer domestic purchase decisions for the product categories examined in this study. However, findings did not lend support for theoretical propositions related to demographic variables. Implications for domestic and global brand managers are outlined in the conclusions.     

An Exploratory Study to Identify the Site Selection Factors for U.S. Franchise Restaurants

Abstract

The purpose of this study was to identify site selection factors under six categories that are most pertinent for the successful operation of U.S. franchise restaurants. The results highlight the most important site selection factors, which can be used as a guide by franchisors as well as franchisees. The selected six site selection categories as narrowed down in this study included general location, position of site, demographics, traffic information, competition, and cost consideration. The Delphi technique identified 56 site selection factors under these six categories, which were ultimately predicted as necessary for the success or failure of franchise restaurants.     

The impact of traffic sign deficit on road traffic accidents in Nigeria

This study assesses the impact of traffic sign deficit on road traffic accidents in Nigeria. The participants were 720 commercial vehicle drivers. While simple random sampling was used to select 6 out of 137 federal highways, stratified random sampling was used to select six categories of commercial vehicle drivers. The study used qual-dominant mixed methods approach comprising key informant interviews; group interviews; field observation; policy appraisal and secondary literature on traffic signs. Result shows that the failure of government to provide and maintain traffic signs in order to guide road users through the numerous accident black spots on the highways is the major cause of road accidents in Nigeria. The study argues that provision and maintenance of traffic signs present opportunity to promoting safety on the highways and achieving the sustainable development goals.     

Insights for a post-Brexit era: marketing the UK as a study destination – an analysis of Arab,Chinese, and Indian student choices

ABSTRACT

Britain’s scheduled exit from the European Union (‘Brexit’) has long-term ramifications for strategic marketing. Faced with new challenges and uncertainty, UK universities are increasingly looking beyond EU borders to recruit international students. In this context, we draw upon country-of-origin theory to categorise the factors that influence non-EU international student decisions to select an overseas study destination and institution. Based on the results of a survey with 317 Arab, Chinese, and Indian students attending UK universities, we identify eight factors that influence international student decisions to study in the UK (social safety, education quality, entry obstacles, environment, recommendations, knowledge of host country, work and immigration, and meeting new cultures). The results address gaps in the literature, offering new insights that will help practitioners and academics to better understand how international students select a country and university as a study location.     

Determination of Export Channel Strategies–The Experience of New Zealand Firms

ABSTRACT

There are many issues which need to be considered when businesses decide to internationalise their operations. One of the issues is the choice of export channels. The choice of export channels has a decisive impact on a firm's international marketing program. Export channel decisions are well researched in many countries However little attention has been made to investigate the choice of export channels by New Zealand international marketers This study examines the factors influencing the choice of export channels of 115 New Zealand firms conducting business with Taiwan. The results suggest that marketer's choice of export channels is influenced by the host market's business system, market size of the industry in the host market, and the degree of produce differentiation. The host market's business system is revealed for the first time to be a factor influencing the choice of export channels.     

Trust Promoting Seals in Electronic Markets

Abstract

In order to promote web sales, companies conducting electronic commerce are constantly seeking viable and efficient ways to increase web traffic. One approach is to build consumers' trust, and ultimately to increase web sales. Many business-to-consumer online merchants follow this approach and display trust-promoting seals on their websites. However, whether these seals really fulfill the tasks they have promised has remained unexplored. This study empirically examines the influence of trust-promoting seals on consumers' online purchasing decisions. The results show that the trust-promoting seals are generally effective in promoting web sales, and some seals enhance promotion better than others.     

Violence in/by the market

ABSTRACT

In this paper, I discuss a definition of violence to unearth the generally unrecognised violence perpetrated by the logic of the market as is was constructed through a history of modern thought and capitalist organisation of life as the central system of modernity. Enslavement of humanity to the purpose of capitalist economy and its key institution, the market, which is to optimise economic value, is arguably the consequence.     

A critical examination of service loyalty measures

Abstract

Service loyalty is attracting growing interest as a result of the important role that services play in today’s global economy. Advances in technology have increased the demand for a services-based economy and prompted a shift from a product-centred logic to a service-centred logic. Despite general agreement between researchers and practitioners of the strategic importance of service loyalty, and growing acceptance of a dynamic or processual perspective, scales used to measure the dynamic view of service loyalty can be criticised for their lack of methodological robustness. This paper contributes both theoretically and practically by critically examining these service loyalty scales and proposing a new multi-item scale based on Oliver’s (1997) conceptualisation using a mixed-method study. Qualitative and quantitative data were collected from UK retail bank customers using in-depth interviews and an interviewer-administered survey. A two-step structural equation modelling strategy was used to validate the measurement and structural models. The results provide support for a four-dimensional scale of service loyalty. This study provides service researchers and managers with a better understanding of service loyalty and presents them with a robust scale for its measurement, in turn improving their ability to draw accurate conclusions.     

Targeting the College Market for Banking Services

ABSTRACT

College students have long been recognized as a significant market for products and professional services. Their sheer number alone, estimated to reach 15.7 million by the year 2000, makes them a viable market for many companies.

However, there are many other attractions from a marketing perspective to targeting college students. They are relatively easy to locate, concentrated in reasonably well defined geographic areas, and accessible through campus newspapers and bulletin boards. And, because they are at the beginning of their careers, firms which establish business relationships with them have long-term opportunities to maintain those links.

This study examined selected banking attributes of college students, including factors affecting patronage decisions, perceptions as to the quality of services available, and sources students use to obtain information about financial services. Surveys were conducted at a large west coast university among a diverse set of students.

Results of the study found that a sizable percent of students maintain substantial balances in their checking and savings accounts. Additionally, economic factors, such as monthly charges and interest rates on deposits, weigh heavily on decisions concerning banking patronage.

The study also found that large, state-wide banking institutions appear to have the advantage in attracting the college student market. And, while bank patronage loyalties appear to be reasonably strong, a sizable percentage of students use more than one institution. Finally, the most useful source of information for reaching the college market appears to be direct mail.     

Negotiation Based on Fuzzy Logic and Knowledge Engineering: Some Case Studies

One of the most recent mathematical models for negotiation is the Compensatory Negotiation Solution by Knowledge Engineering (CNSKE). In this model a logic system called Compensatory Fuzzy Logic was used, which is more adequate to solve problems of decision making than the classical one probabilistic fuzzy logic system. The idempotency axiom of this system and the continuity of the operators allow the truth-values of the membership function to have a cardinal and not exclusively ordinal semantic meaning. On the other hand, continuity also makes ‘sensible’ the truth-values of the predicates. The aim of this paper is to illustrate the advantages of the CNSKE over other approaches in Game Theory. To show these advantages, some case studies are analyzed, consisting on the solution of three problems in which CNSKE is applied in economic and politic cases of negotiation, and compared with other alternative approaches.     

Corporate sustainability efforts and e-WOM intentions in social platforms

Abstract

The current study adopts service dominant logic to examine how consumers react to social platforms that communicate corporate sustainability efforts. The results suggest a positive connection between corporate sustainability efforts and evaluation of e-service quality as well as between corporate sustainability efforts and e-WOM. We also find that corporate sustainability efforts encourage consumers to spread positive e-WOM on a platform that provides useful information and that is well-designed. This study extends our understanding of corporate sustainability efforts by applying service dominant logic toward an explanation of consumer evaluation and e-WOM.