Borlänge, Dalarnas köpstad no 1 : Hur centrum, Kupolen och Norra Backa kan bindas samman för att tillsammans vinna köpkraften

Thesis:The aim of our study is to identify how IKEA's externalestablishment at Norra Backa can affect Kupolen and the centre. This in order to provide suggestions on how these trade areas can be connected and create a whole to thereby gain the purchasing power.Method:In our study we used triangulation. That means we have used both a quantitative and a qualitative approach. The quantitative method based on a survey with 100 respondents. The qualitative method is based on interviews with the centre conductors of Borlänge, Laila G Prosén and Anna Timander.Theory:The theories we have used is STP, substitution effects and effects of overspill, important factors for an attractive market town, Town Centre Management, Urban Retail Product.Conclusion: We found how IKEA's establishment at Norra Backa may affect Kupolen and the center of Borlänge then we gave suggestions on how these trade areas can be connected.

To what extent are CO2 emissions from intra-urban shopping trips by cars affected by drivers’ travel behaviour and store location?

Transportation is seen as one of the major sources of CO2 pollutants nowadays. The impact of increased transport in retailing should not be underestimated. Most previous studies have focused on transportation and underlying trips, in general, while very few studies have addressed the specific affects that, for instance, intra-city shopping trips generate. Furthermore, most of the existing methods used to estimate emission are based on macro-data designed to generate national or regional inventory projections. There is a lack of studies using micro-data based methods that are able to distinguish between driver behaviour and the locational effects induced by shopping trips, which is an important precondition for energy efficient urban planning. The aim of this study is to implement a micro-data method to estimate and compare CO2 emission induced by intra-urban car travelling to a retail destination of durable goods (DG), and non-durable goods (NDG). We estimate the emissions from aspects of travel behaviour and store location. The study is conducted by means of a case study in the city of Borlänge, where GPS tracking data on intra-urban car travel is collected from 250 households. We find that a behavioural change during a trip towards a CO2 optimal travelling by car has the potential to decrease emission to 36% (DG), and to 25% (NDG) of the emissions induced by car-travelling shopping trips today. There is also a potential of reducing CO2 emissions induced by intra-urban shopping trips due to poor location by 54%, and if the consumer selected the closest of 8 existing stores, the CO2 emissions would be reduced by 37% of the current emission induced by NDG shopping trips.