e-infrastruktur som stöd för hemtjänsten

The annual cost of home care services of transport in Falun/Borlänge, is now at 31 million kronor. It is clear from previous research that it is possible to reduce these costs through a restructuring of the existing home-help service. The restructuring aims to have a higher proportion of older people, who are in need of care, to live in special accommodation, in order to reduce transport costs. Therefore there is a need for systems that allow home-help service to plan their operations in such a way that transport is working as efficiently as possible. Through better planning, there are profits to be done. The rewards are not only of an economic nature but also include a reduced environmental impact, better working environment, improving road safety, and better service. One way to achieve this is to give home-help service personnel better navigation aid when they move between the customers. The thesis describes such a solution through a developed prototype based on a standardized interaction between a planning and a navigation service. The thesis describes such a solution through a developed prototype based on a standardized interaction between a planning and a navigation service. Development work has also been a first step in developing a standardized information infrastructure for home-help service. The purpose of the thesis is, on the basis of theory and the experience we have acquired through the development of the prototype, to discuss general issues which are of interest when developing standardized information infrastructure.

A Microdata Analysis Approach to Transport Infrastructure Maintenance

Maintenance of transport infrastructure assets is widely advocated as the key in minimizing current and future costs of the transportation network. While effective maintenance decisions are often a result of engineering skills and practical knowledge, efficient decisions must also account for the net result over an asset's life-cycle. One essential aspect in the long term perspective of transport infrastructure maintenance is to proactively estimate maintenance needs. In dealing with immediate maintenance actions, support tools that can prioritize potential maintenance candidates are important to obtain an efficient maintenance strategy. This dissertation consists of five individual research papers presenting a microdata analysis approach to transport infrastructure maintenance. Microdata analysis is a multidisciplinary field in which large quantities of data is collected, analyzed, and interpreted to improve decision-making. Increased access to transport infrastructure data enables a deeper understanding of causal effects and a possibility to make predictions of future outcomes. The microdata analysis approach covers the complete process from data collection to actual decisions and is therefore well suited for the task of improving efficiency in transport infrastructure maintenance. Statistical modeling was the selected analysis method in this dissertation and provided solutions to the different problems presented in each of the five papers. In Paper I, a time-to-event model was used to estimate remaining road pavement lifetimes in Sweden. In Paper II, an extension of the model in Paper I assessed the impact of latent variables on road lifetimes; displaying the sections in a road network that are weaker due to e.g. subsoil conditions or undetected heavy traffic. The study in Paper III incorporated a probabilistic parametric distribution as a representation of road lifetimes into an equation for the marginal cost of road wear. Differentiated road wear marginal costs for heavy and light vehicles are an important information basis for decisions regarding vehicle miles traveled (VMT) taxation policies. In Paper IV, a distribution based clustering method was used to distinguish between road segments that are deteriorating and road segments that have a stationary road condition. Within railway networks, temporary speed restrictions are often imposed because of maintenance and must be addressed in order to keep punctuality. The study in Paper V evaluated the empirical effect on running time of speed restrictions on a Norwegian railway line using a generalized linear mixed model.