Syftet med denna undersökning är att med hjälp av två vetenskapliga metoder, kvalitativa intervjuer och användardagböcker ta reda på hur användares mobila brukarvanor ser ut och vilka typer av tjänster kan de ligga till grund för baserat på ett Smart city-perspektiv. Arbetet kommer även att analysera och utveckla metodiken för fortsatta studier inom ämnet. Mobilen har under de senaste åren utvecklats till att bli en enhet där dess ursprungliga telefonfunktioner blivit sekundära egenskaper. Dess främsta ändamål är fortfarande för att kommunicera med andra, men i första hand genom andra typer av tjänster. Man kan idag även se hur utvecklingen går från ett bruk av digitala tjänster där varje enhet har specifika syften, till ett bruk där enheter samarbetar och delar ett gemensamt syfte. I och med att vårt bruk, och våra vanor, av dessa enheter förändras, så förändras även naturen hos tjänsterna de tillhandahåller. Man kan se en utveckling mot, och en efterfrågan för, tjänster som genom att utnyttja ny teknologi kan beskrivas bryta gränsen mellan det digitala och den fysiska verkligheten. Vilket ur ett Smart City-perspektiv kan ha stor potential inom flera områden av samhälls- och verksamhetsutveckling. Det går även att se att synen på hur vi konsumerar digitala tjänster förändras. Från att ha haft en väldigt enhetsfokuserad syn, där varje enhet har specifika ändamål, går vi mot ett bruk av tjänster där enheten i sig inte är viktig. Många tjänster finns idag på flera enheter, och enheterna fungerar mer som ett samarbetande ekosystem än enskilda enheter med egna syften. Enheterna delar snarare ett gemensamt syfte, att agera fönster mot internet. / The purpose of this study is to find out how mobile user habits can provide a basis for applications and services based on a Smart City perspective, this by using two scientific methods, interviews and user diaries. The study will also analyze and develop the method for further studies in this subject. The cell phone has in recent years evolved into a unit where the original phone functions and features have become secondary. Even though its main purpose is still to communicate with others, it’s now done primarily through other types of services. Today the development goes from a use of digital services where each unit has a specific purpose, to a practise where they work together and share a common purpose. As a result of the fact that our use and our habits of these devices are changing, the nature of the services provided by these devices are also changing. Due to this, there is an ongoing evolution towards, and a demand for, new services that can take advantage of new technologies to dissolve the border between the digital and the physical reality. Which, from a Smart City perspective, could have great potential in several areas of social and organizational development. One can also se that the way we consume digital services is changing. We have gone from having a device centerd focus, were every unit has a specific purpose to a serviced centerd focus, were the units work as a collaborative ecosystem. These units share a collective pupose, to act as a window towards the internet.

Purpose: This study aims to investigate and compare a range of factors that can contribute to differences in energy calculations and the energy declaration. Method: To investigate this, a literature study has been carried out where the collection of facts and information is used to complement the case study that has also been carried out. The case study consists of energy calculations that have been both calculated and compared for a larger and a smaller one-family house. To examine the impact of the various factors, one factor at a time has been changed in the calculations to clarify its outcome. To make the work as realistic as possible, two existing houses are used as reference objects. This means that both floor plans and material choices are taken from a house manufacturer’s drawings. Results: The result shows that living habits are a difficult factor to assess when it comes to energy use in a building because there are no specified values for each sub-item. The energy use that can be read out is a total sum of the different parts of the energy use. Examples of parts that are included in the total energy use are domestic hot water use and household electricity use. Despite the difficulty in distinguishing which item is the major contribution factor to the differences in measured and projected energy use, most agree that living habits are the biggest factor. Conclusions: It becomes easier to identify what it is in living habits that is the difficult-to-assess factor if all individual living habits were specified with their own energy calculations and measurement values. This could even be a tool to investigate and further investigate the differences that arise in the future. Finally, it can be good to assist with skill development for all homeowners in terms of energy efficiency in their living habits to reduce ignorance about the impact of user habits on energy use.