Use of the analytic hierarchy process to evaluate transit fare system

The transportation fare system influences the mobility of a region and the life quality of its inhabitants. This study aims to evaluate a region's optimal fare system by using the analytic hierarchy process, based on a survey among transportation experts, divided into three categories: operators, professors/consultants and government officials. The results are presented divided by category and overall, and the performance of the most important relative criteria to establish a fare system is determined. The most important criterion according to all the selected experts was the fare price, with 21.5%. The fare system determined as the best was distance/zone (31.1%) and the worst was a flat fare system (7.2%). In addition, we show the influence of the fare price criterion in each fare system through sensitivity charts and highlight its importance for all three groups of experts to evaluate the fare system.     

White Layer of Hard Turned Surface by Sharp CBN Tool

IntroductionHard turning has been recognized as one of themost competitive clean machining technologies inreplacing of abrasive-based processes, with the de-velopment of high precision numerical machinetools and super-hardness tool material such as ce-ramic, CBN/PCBN (Cubic Boron Nitride/Poly-crystalline Cubic Boron Nitride)[1,2]. Hard turningoperation has shown geometrical flexibility, eco-nomics advantage, environmental friendliness, andsuperior surface integrity which is usually define…     

On the development of public transit in large cities

This article presents a summary of the analyses and set of recommendations given by a committee of transit specialists gathered by the Minister of Transport of Chile aiming at improving Transantiago, the new transit system recently inaugurated for Santiago. This summary focuses on those recommendations directed towards improving the efficiency, service quality and sustainability of mass public transportation systems in major cities in the developing world and that could be implemented in a short term (within two years). Three broad dimensions of public transit are considered: competition and regulation; investment, financing, fares and subsidies; and the operation and use of infrastructure, design, inspection and control. Although the study grew out of the needs and characteristics of a city such as Santiago (Chile), and of the virtues and deficiencies of Transantiago, much of the analyses and recommendations could be adopted and implemented in the major cities of developed countries in Europe, North America and Asia.     

Scenario analysis for supply chain integration in container shipping

Competition in the business world nowadays is largely between supply chains, rather than individual players only. The same situation exists in container shipping. The study looks into container shipping from an integrated perspective and investigates the nature and level of supply chain integration in container shipping. Based on empirical examinations of the world's top 30 container shipping lines, a scenario analysis is conducted. The paper aims to present the scenario analysis for examining supply chain integration in container shipping. It also aims to formulate strategic recommendations for liners to create and sustain competitive advantage. The scenario analysis is designed to allow more complete consideration of alternative possible outcomes and their implications on the research topic. It involves an evaluation of past and present events and provides a plausible discussion of what might occur in the future. It depicts four scenarios of supply chain integration in container shipping, namely, low integration, partner-focused integration, activity-focused integration and high integration. On the whole, research findings suggest that market situations favour those scenarios representing higher level of supply chain integration. Importantly, with reference to the scenario analysis, shipping lines should position themselves in an appropriate scenario and formulate strategic plans accordingly.     

Determinants of motor vehicle crash fatalities using Bayesian model selection methods

Motor vehicle crashes continue to result in large numbers of fatalities each year and represent the leading cause of death for young persons. In 2006, for example, there were over 42,700 fatalities associated with these crashes. Understanding the causes of these crashes and methods to reduce them continues to be of great interest to economists, public health officials, and policy makers. We present in this paper statistical models using a rich set of panel data covering the period 1980 to 2007 by state and the District of Columbia. Our choice of variables is based on an extensive literature highlighting the importance of policy, safety, demographic, and economic determinants of fatality rates.     

Part 2. Beyond single-outcome models: Decompositions of aggregate and disaggregate road safety risk

The second part of the state-of-the-art focuses on the development of the founders' double streams explaining single-outcome indicators (probability of accidents and fatalities, respectively) by fixed form regression, as outlined in the Part 1. Following Page (1997, pp. 67–122, 2001) and others, we use as turning point of the evolution of both aggregate and discrete approaches the DRAG-1 model of 1984, itself based on aggregate data, which introduced four key innovations in principle applicable to both streams.