Modelling user perception of bus transit quality

This article evaluates how bus users perceive the quality of their public transport service. In particular it looks at how perception of quality varies according to the available information. The experiment compares an overall evaluation of service quality before and after making passengers reflect on the importance of certain fundamental system variables which they may not have previously considered.Focus groups were used to individualise the most relevant variables. A quality survey was carried out both on-board buses and at bus stops and the overall service quality was related to the aforementioned variables using ordered probit models. The perception of quality is shown to change with the category of user and that there tends to be more criticism towards variations in overall quality until the users are stimulated into thinking more deeply about other influential variables. The application of this methodology may provide operating companies with valuable information for planning marketing policies aimed at different categories of user, in order to improve the service quality and attract more passengers to using public transport.     

Content analysis research method with Nvivo-6 software in a PhD thesis: an approach to the long-term psychological effects on Chilean ex-prisoners survivors of experiences of torture and imprisonment

The aim of this paper is to review the usefulness of the software CAQDAS QSR—Nvivo-6 in a PhD. Thesis, which consisted of finding the long-term psychological effects of experiences of imprisonment and torture for political reasons in their Chilean survivors. For this research, it was created and administered an in-depth interview to 60 survivors, from which outcome was 9900 paragraphs, coded into 784 categories. The software QSR Nvivo-6 threw a report of frequencies, which were compared quantitatively using Pearson’s χ ² square test and cluster analysis. We conclude that the software facilitates the development of qualitative thematic content analysis, simplifying the coding, analysis and display of data. In Addition, it is very useful when working with large quantities of information, promoting the reliability and validity of studies. However, other aspects are also required to ensure the rigor of a qualitative study.     

A note on how to measure hubbing practices in airline networks

Benefits and costs associated to hubbing practices of airlines are still subject to much debate. In the previous literature, some standard spatial concentration indices have been proposed to measure it. However, we show that these indices are “ill-defined” because they do not take into account the salient characteristic of hubbing: connecting passengers. The purpose of this research is to present a new methodology which avoids the pitfalls of other methods. Our new methodology also analyzes the level of concentration of the connecting passengers studying two different dimensions: hub airports and routes. Finally, we apply our methodology to some US carriers.     

Perception evaluation kit: a case study with materials and learning styles

International Journal of Technology and Design Education - Materials are elements that configure our built environment and are key components in design and engineering education. This research aims...     

Regional and Sector-specific Determinants of Industry Dynamics and the Displacement–replacement Effects

In this paper, we empirically assess the importance of regional and sector-specific determinants of industry dynamics. To this aim we test three hypotheses (originally proposed by Shapiro and Khemani (1987, Int J Indust Organ 5:15–26)) for the relationship between the entry and exit of firms: independence, symmetry and simultaneity. Estimates from a panel data system of equations seem to confirm the simultaneity hypothesis for Spain, i.e. we find evidence of a displacement (replacement) effect between the gross rate of entry (exit) and the gross rate of exit (entry). Also, our results show that, irrespective of the hypothesis we use, both sectorial and regional variables affect entry and exit.

Value at Risk and Economic Growth

The improvement of data statistics as well as the econometrician methods have facilitated the introduction the new variables and factors I the economic growth analysis. In this sense, real variables have mainly been considered in the economic growth studies, but not financial or risk management aspects. In this sense, it is interesting to analyze the relationship between economic growth and value at risk and the feed-back process. The goal of the paper is to analyze the relationship between economic growth and risk management and the feed-back process. We will consider economic variables, including economic growth, rule of law, human capital, fiscal policy and monetary policy, among others, in our analysis. We will analyze the theoretical relationships between these variables and risk and the effects of risk on economic growth. We will also develop an empirical analysis considering the case of 15 European Union countries.

The evaluation of a surveillance system for violent and non-intentional injury mortality in Colombian cities

Since 2002, the Institute for Peace Promotion and Injury/Violence Prevention (CISALVA) at the Universidad del Valle, Cali, Colombia and the Colombia Program at Georgetown University have developed and implemented 21 epidemiologically based municipal crime observatories in intermediate-sized municipalities in Colombia. These crime observatories serve as monitoring centres that provide low cost, geo-referenced methods of data collection and analysis, which allow cities to develop more responsive policies and prevention programmes and enhance governance. This article focuses on the methodology employed and lessons learned that may be applicable to similar settings. Worth noting within the results was a significant decrease in homicides after the first year of the programme. Whether or not such results could be attributed to the method or to the nature of the interventions and policy initiatives stemming from it remains open to conjecture.     

Editors’ note

Portuguese Economic Journal -     

The factor content of regional bilateral trade: The role of technology and demand

The Heckscher–Ohlin–Vanek (HOV) model in its strict form has been strongly rejected by the data. Relaxing some assumptions of the standard HOV model is key to find improvements in its performance. We apply the Davis and Weinstein (2001) methodology to analyse the validity of the HOV model using regions rather than countries. Surprisingly, our results using data for 17 Spanish regions are similar to theirs with international data for OECD countries. Accounting for technological differences improves the predictive capacity of the factor proportions model and including trade costs and geography reduces significantly the missing trade problem. However, relaxing the assumption of factor price equalisation does not improve the performance of the HOV model in a regional setting.