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Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12573/395

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Author: search.filters.author.Toger, MarinaHas files: No

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  • Article
    Modeling Commuter Mobility in Stockholm: A Spatial Panel Approach Using Mobile Phone Data
    (Springer Heidelberg, 2026) Fischer, Manfred M.; Osth, John; Toger, Marina; Turk, Umut
    This paper examines the sociodemographic and socioeconomic determinants of regional commuter mobility in the Greater Stockholm Area using a heteroscedastic spatial Durbin panel data model estimated via Bayesian Markov Chain Monte Carlo methods. Drawing on mobile phone-derived origin-destination flows from the MIND database, the analysis exploits unusually fine spatial and temporal granularity across a balanced panel of 675 regions over the period 2018-2023. A k-nearest neighbor spatial weight matrix (k = 18), selected via Bayesian model comparison, captures the topological structure of interregional connectivity. By modeling spatial lags in both the dependent and independent variables, the framework enables explicit recovery of direct (own-region) and indirect (spillover) effects from scalar summary measures of the matrix of partial derivatives - providing robust posterior inference on how sociodemographic and socioeconomic conditions propagate through space. This approach addresses a key limitation of conventional non-spatial methods, which risk producing biased estimates by ignoring spatial interdependence. Empirical results confirm that spatial spillovers predominate over direct effects, with educational attainment and car ownership emerging as the principal determinants of commuter mobility, while age composition plays a comparatively modest role. These findings underscore that evaluating direct effects in isolation systematically underestimates the broader societal returns to mobility-enhancing regional policies.
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    Citation - WoS: 4
    Citation - Scopus: 4
    Inequality in Access to Urban Amenities
    (Springernature, 2025-07-12) Michelangeli, Alessandra; Osth, John; Toger, Marina; Turk, Umut
    This paper provides an overview of urban inequality in the Stockholm Metropolitan Area analyzing the spatial distribution of amenities and their accessibility. Inequality in urban amenities is measured by a multidimensional index at a fine geographical scale and it can be decomposed into the sum of inequality indices computed on the marginal distributions of amenities across locations plus a residual term accounting for their joint distribution. Our research leverages a unique dataset that combines income data for approximately 90,000 geocoded individuals residing in the metropolitan area with information from the OpenStreetMap platform, enabling us to examine the distribution of both natural and urban design-related amenities. Furthermore, we integrate data from online platforms to analyze the housing market. Our findings reveal moderate levels of inequality in amenities within the Stockholm Metropolitan Area, with social segregation emerging as the primary driver of this inequality.