Johan Håkansson

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ii iii CONTENTS Page LIST OF TABLES v LIST OF FIGURES v ABSTRACT vi ACKNOWLEDGMENTS vii 1. CONTEXT 1 2. INTERNAL MIGRATION AND POPULATION CHANGE REVIEWED 3 2.1 Migration, urbanisation and suburbanisation waves 3 2.1.1 Concentration during the post war period to the 1970s 3 2.1.2 Concentrated dispersion: the 1970s 6 2.1.3 Concentration and dispersion: the(More)
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(More)
We develop a method for empirically measuring the difference in carbon footprint between traditional and online retailing (" e-tailing ") from entry point to a geographical area to consumer residence. The method only requires data on the locations of brick-and-mortar stores, online delivery points, and residences of the region's population, and on the goods(More)
A customer is presumed to gravitate to a facility by the distance to it and the attractiveness of it. However regarding the location of the facility, the presumption is that the customer opts for the shortest route to the nearest facility. This paradox was recently solved by the introduction of the gravity p-median model. The model is yet to be implemented(More)
Long-term trends in the spatial distribution of the population of Sweden are analyzed in this study. "Two geographical levels, the national and the local, are analysed in a long term perspective, [from] 1750 until 1990. The measure of concentration used is the Hoover-index on [the] county level. Some major determinants affecting population distribution are(More)