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  • 1.
    Eriksson, Martin
    et al.
    Umeå University, Faculty of Social Sciences, Department of Geography and Economic History.
    Pettersson, Thomas
    Umeå University, Faculty of Social Sciences, Department of Geography and Economic History.
    Adapting to liberalization: government procurement of interregional passenger transports in Sweden, 1989–20082012In: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 24, p. 182-188Article in journal (Refereed)
    Abstract [en]

    This article investigates how the last two decades of Swedish deregulation and liberalization of railwaysand airlines have affected the government procurement of interregional passenger transports in sparselypopulated areas. Regarding railways, our investigation shows that the area traditionally targeted forregional policy received in 2008 slightly more government procured traffic in personal kilometers perpopulation share than in 1989. As for civil aviation, the number of passengers travelling between theStockholm-Arlanda airport and airports in the regional development area had increased substantiallyduring the same period. This continuity of territorial cohesion suggests that while the new procurementpolicies were based on a general ambition to deregulate and liberalize the markets, they still allowed for areproduction and assimilation of certain elements in the previous policy.

  • 2.
    Häggström Lundevaller, Erling
    Umeå University, Faculty of Social Sciences, Department of Statistics. Umeå University, Faculty of Social Sciences, Centre for Population Studies (CPS).
    The effect of travel cost on frequencies of shopping and recreational trips in Sweden2009In: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 17, no 3, p. 208-215Article in journal (Refereed)
    Abstract [en]

    This article focus on how the cost of travel affects travel behavior. A trip frequency model for recreational and shopping trips is suggested and used to investigate this. The data that is used comes from a Swedish travel habit survey where the respondents’ trip frequencies of both types of trips on a certain day are recorded. This is likely to introduce a correlation structure, which is incorporated in the model. Special attention is paid to the effect of travel cost on trip frequencies for different regions and income groups. As a measure of the sensitivity of cost changes, elasticity of demand is calculated. The precision of the elasticities are evaluated with simulated p-values.

  • 3.
    Sandow, Erika
    Umeå University, Faculty of Social Sciences, Department of Social and Economic Geography.
    Commuting behaviour in sparsely populated areas: evidence from northern Sweden2008In: Journal of Transport Geography, ISSN 0966-6923, E-ISSN 1873-1236, Vol. 16, no 1, p. 14-27Article in journal (Refereed)
    Abstract [en]

    From a Swedish regional development policy perspective, increased long-distance commuting is viewed as a means for creating larger local labour markets and thus stimulating regional economic growth. One of the prerequisites for such a development is that individuals are willing to commute longer distances. In the context of a relatively peripheral and sparsely populated area in northern Sweden, this paper aims to study commuting behaviour and factors influencing individuals’ propensities to commute longer distances. Using a longitudinal set of geo-referenced data, individuals’ commuting propensities were estimated in a binary logistic regression, and significant effects were found for a range of socio-economic and demographic factors. The results also show that the local labour market’s geographical structure is important. Overall, most individuals commute within their locality of residence and women commute shorter distances than men do – a pattern that has been relatively stable since the beginning of the 1990s. This article attempts to outline causes and effects of this commuting behaviour, which are important to understand in the development of regional development policies aimed at increasing geographical labour mobility.

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