Distance measure and the p-median problem in rural areas

The p-median model is used to locate P facilities to serve a geographically distributed population. Conventionally, it is assumed that the population patronize the nearest facility and that the distance between the resident and the facility may be measured by the Euclidean distance. Carling, Han, and Håkansson (2012) compared two network distances with the Euclidean in a rural region witha sparse, heterogeneous network and a non-symmetric distribution of thepopulation. For a coarse network and P small, they found, in contrast to the literature, the Euclidean distance to be problematic. In this paper we extend their work by use of a refined network and study systematically the case when P is of varying size (2-100 facilities). We find that the network distance give as gooda solution as the travel-time network. The Euclidean distance gives solutions some 2-7 per cent worse than the network distances, and the solutions deteriorate with increasing P. Our conclusions extend to intra-urban location problems.

Distance teacher education : Experiences from Dalarna University, Sweden

In 2003 the first distance teacher education started at Dalarna University in a small scale compared with today when a large part of the teacher education is distributed as distance education. From this point of view it seems important to ask the question: How can you become a successful distance student? This paper is based on a case study. Data were collected from earlier research reports, study registers and a group interview. The most important parameters appeared to be motivation, situation in life, discipline and experiences from earlier studies and/or work experience and good relations to other students and the university teachers.