A novel map-matching procedure for low-sampling GPS data with applications to traffic flow analysis

An extensive sample (2%) of private vehicles in Italy are equipped with a GPS device that periodically measures their position and dynamical state for insurance purposes. Having access to this type of data allows to develop theoretical and practical applications of great interest: the real-time reconstruction of traffic state in a certain region, the development of accurate models of vehicle dynamics, the study of the cognitive dynamics of drivers. In order for these applications to be possible, we first need to develop the ability to reconstruct the paths taken by vehicles on the road network from the raw GPS data. In fact, these data are affected by positioning errors and they are often very distanced from each other (~2 Km). For these reasons, the task of path identification is not straightforward. This thesis describes the approach we followed to reliably identify vehicle paths from this kind of low-sampling data. The problem of matching data with roads is solved with a bayesian approach of maximum likelihood. While the identification of the path taken between two consecutive GPS measures is performed with a specifically developed optimal routing algorithm, based on A* algorithm. The procedure was applied on an off-line urban data sample and proved to be robust and accurate. Future developments will extend the procedure to real-time execution and nation-wide coverage.

The Road to Poverty Reduction: Corporate Governance and Female Participation in MFIs

1.Microfinance Industry – Context of Analysis. This paper is an introduction to the microfinance industry. It serves as a context of analysis, for the empirical settings and basis for building the theoretical argument for the thesis. 2.Women in Microfinance Institutions: The Road to Poverty Reduction and Gender Equality? One of the unique aspects of microfinance institutions is their focus on outreach, i.e. their ability to reach the poor. This paper explores whether the presence of women in microfinance institutions is associated with improved outreach. Building on prior research that shows that women tend to improve financial performance and social responsibility, we examine an original dataset of 226 microfinance institutions. The empirical results suggest that the presence of a female CEO, female managers and female loan officers is directly related to improved outreach, while the presence of women board members is not. 3. Women in Microfinance Institutions: Is There a Trade-Off Between Outreach and Sustainability? Abstract This paper’s contribution to the understanding of microfinance is two-fold. First, while it has been shown that female CEOs in MFIs increase financial performance, it will be argued that female managers, female loan officers and female board members will do the same. Secondly, having previously shown that having a female presence in management in MFIs improves social performance the outreach, it will be argued that having females in the MFIs’ management will not lead to a trade-off between outreach and sustainability. These findings are based on an original data set of 226 MFIs. Statistical analysis demonstrates that a weak relationship between female managers and female loan officers vis-à-vis financial performance, but female board members do not. The trade-off between outreach and sustainability can be avoided with the appointment of females to the MFIs’ management positions, but the same cannot be concluded for female board members.