Alonso's Theory of Movements: Developments in Spatial Interaction Modeling

Vries, J.J. de; Nijkamp, Peter; Rietveld, Piet

doi:10.1007/pl00011478

Cited by 27 publications

(14 citation statements)

References 24 publications

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“…The spatial interaction model applied in the case study is based on empirically obtained parameters and, amongst others, the assumptions that: (1) increasing interaction opportunities cause growth in the propensity of people to travel and (2) no restrictions are imposed on the number of trips into zones because train travellers' motives for visiting specific zones are unknown. Alonso's GTM enables parameterization of the degree to which opportunities and competition or congestion affect demand and encompasses all variants of Wilson's family of spatial interaction models as special cases (De Vries et al 2001). We do not take the effects of competition or congestion at the destination into account, so that we effectively apply:…”

Section: Appendix 1: Transport Link Construction Costsmentioning

confidence: 99%

Transport link scanner: simulating geographic transport network expansion through individual investments

Jacobs‐Crisioni

Koopmans²

2016

J Geogr Syst

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This paper introduces a GIS-based model that simulates the geographic expansion of transport networks by several decision-makers with varying objectives. The model progressively adds extensions to a growing network by choosing the most attractive investments from a limited choice set. Attractiveness is defined as a function of variables in which revenue and broader societal benefits may play a role and can be based on empirically underpinned parameters that may differ according to private or public interests. The choice set is selected from an exhaustive set of links and presumably contains those investment options that best meet private operator's objectives by balancing the revenues of additional fare against construction costs. The investment options consist of geographically plausible routes with potential detours. These routes are generated using a fine-meshed regularly latticed network and shortest path finding methods. Additionally, two indicators of the geographic accuracy of the simulated networks are introduced. A historical case study is presented to demonstrate the model's first results. These results show that the modelled networks reproduce relevant results of the historically built network with reasonable accuracy.

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Section: Appendix 1: Transport Link Construction Costsmentioning

confidence: 99%

Transport link scanner: simulating geographic transport network expansion through individual investments

Jacobs‐Crisioni

Koopmans²

2016

J Geogr Syst

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“…attractiveness of places that depends upon the needs, demands and preferences of the individual (Inglehart 1997;Niedomysl 2006). 14 In a general theory of movement (Alonso 1978;de Vries et al 2000) it is argued that the migration flows between locality i and locality j depend not only upon characteristics of the localities of origin and destination, but also upon the ease of movement between them as well as upon the alternative opportunities available from that origin and the degree of competition existing at that destination. An empirical estimation of the Alonso's simultaneous equation model with unobservables is provided in de Vries et al (2000).…”

Section: Empirical Studies On Quality Of Life and Migrationmentioning

confidence: 99%

“…14 In a general theory of movement (Alonso 1978;de Vries et al 2000) it is argued that the migration flows between locality i and locality j depend not only upon characteristics of the localities of origin and destination, but also upon the ease of movement between them as well as upon the alternative opportunities available from that origin and the degree of competition existing at that destination. An empirical estimation of the Alonso's simultaneous equation model with unobservables is provided in de Vries et al (2000). 15 While many of migration models forecast the probability of migration from area i to area j depending on the ratio of various destination-to-origin characteristics describing differentials in the quality of life between both areas, an individual migration decision itself can be modelled as a two-step decision process.…”

Section: Empirical Studies On Quality Of Life and Migrationmentioning

confidence: 99%

Application of the Rural Development Index to Analysis of Rural Regions in Poland and Slovakia

Michalek

Zarnekow

2011

Soc Indic Res

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“…(de Vries et al, 2001). According to Ledent (1980), Poot (1986), and de Vries et al (2002) estimation of Alonso's theory of movements can proceed in two stages, where the first stage consists of estimation of the distance-decay function and the systemic variables A i and B j .…”

Section: Theorymentioning

confidence: 99%

Exponential or Power Distance-Decay for Commuting? An Alternative Specification

2004

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IntroductionCommuting has been the subject of increasing public attention and intensive research in recent decades (see Nijkamp and Rouwendal, 2004;Rouwendal and Nijkamp, 2004). The increasing role of commuting has far-reaching consequences for public policy concerning traffic, infrastructure, and spatial planning. Commuting flows connect labor and housing markets. Knowledge of the intensity and spatial range of this interaction is required to determine the accessibility of a location to centers of population and employment. Theoretical and applied research on commuting issues can help to clarify the relevant effects.The analysis of the sizes of commuting flows between cities or regions, and their effects on housing and labor markets, is part of the much wider area of spatial interaction modeling (Batten and Boyce, 1986;Fotheringham and O'Kelly, 1989;Nijkamp and Reggiani, 1992). Spatial interaction models are applied not only to commuting but also to migration, international trade, shopping behavior, and other topics related to origin^destination flows. An essential element of these models is that interaction decreases with distance or travel cost. This is described by a distance-decay function. However, distance is not the only factor affecting the intensity of the interaction. Also important are the sizes (however measured) of origin and destination. And it is increasingly recognized that additionally the positions of origin and destination in the spatial system are relevant. The research in this paper is an application of spatial interaction modeling, and the methodological issues are not limited to commuting.An important issue in spatial interaction modeling is the choice of the functional form of distance or travel cost. In the literature, the distance-decay function is usually assumed to be an exponential or a power function:`I n practice, the debate over the form of the cost function in spatial interaction models has evolved to a reasonably widespread consensus that the exponential function is more appropriate for analysing short distance interactions such as those that take place within an urban area. The power function, conversely, is generally held to be more appropriate for analysing longer distance interactions such as migration flows '' (Fotheringham and O'Kelly, 1989, pages 12^13 Abstract. In this paper we investigate the functional form of distance decay for commuting flows between municipalities in Denmark. Our inference is based on a single equation that includes variables to capture the effect of spatial structure. Special attention is given to a proper estimation method: we estimate the distance-decay parameters by nonlinear weighted least-squares with balancing factors. It appears that neither an exponential nor a power distance-decay function fits the data well. Using a spline regression we find a cost elasticity of À4 for distances around 20 km and a much smaller value for shorter and longer distances. It appears that the logarithm of distance decay can be described adequately as a (downwar...

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Alonso's Theory of Movements: Developments in Spatial Interaction Modeling

Cited by 27 publications

References 24 publications

Transport link scanner: simulating geographic transport network expansion through individual investments

Transport link scanner: simulating geographic transport network expansion through individual investments

Application of the Rural Development Index to Analysis of Rural Regions in Poland and Slovakia

Exponential or Power Distance-Decay for Commuting? An Alternative Specification

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