Mobility Index Algorithm: A construction of a mathematical based mobility measurement algorithm based on dynamic data with a design science research approach

Abstract

To have good mobility regarding public transport and to nearby facilities such as schools and shops is essential for reducing the use of private cars. One can only say how good mobility is for a given point by measure it. This thesis looks into the problem of mobility measurement. It provides a new way of calculating a mobility index, that is normalized with max-min normalization. A procedure of automatic and dynamic data gathering is in focus, which leads to the opportunity of replacing or expansion of various variables. Our finding is a measurement algorithm, based on theory outline in this thesis, and a tool to detect areas with needed mobility improvement for the city planners. This is a collaboration work with MUST (Mobilitetslaboratorium for utvikling av smarte transportløsninger), and the Municipality of Bergen where we are using data from them to calculate the mobility index.