Varga, Levente and Tóth, Géza and Néda, Zoltán (2017): An improved radiation model and its applicability for understanding commuting patterns in Hungary. Published in: Regional Statistics , Vol. 6, No. 2 (February 2017): pp. 27-38.
Preview |
PDF
MPRA_paper_76806.pdf Download (311kB) | Preview |
Abstract
Several empirical models aimed at describing human mobility have been proposed in the past. Most of them are based on an unjustified analogy, with a focus on gravity and physical vector or scalar fields. Recently, however, statistical physicists introduced a new category of models that are theoretically motivated by a few simple and reasonable socio-economic assumptions. The Radiation Model (Simini et al. 2012) and the Radiation Model with Selection (Simini–Maritan–Néda 2013) are such successful approaches. Here, we introduce a new version of the radiation model, the Travel Cost Optimized Radiation Model, and test its applicability for describing the commuting patterns in Hungary. We compare critically the performance of this model with the results of the previous radiation type models.
Item Type: | MPRA Paper |
---|---|
Original Title: | An improved radiation model and its applicability for understanding commuting patterns in Hungary |
Language: | English |
Keywords: | human mobility models commuters data population income density |
Subjects: | J - Labor and Demographic Economics > J6 - Mobility, Unemployment, Vacancies, and Immigrant Workers > J61 - Geographic Labor Mobility ; Immigrant Workers R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R11 - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics > R14 - Land Use Patterns |
Item ID: | 76806 |
Depositing User: | Géza Tóth |
Date Deposited: | 15 Feb 2017 11:58 |
Last Modified: | 01 Oct 2019 19:15 |
References: | ANDERSON, T. R. (1956): Potential models and the spatial distribution of population Papers in Regional Science 2 (1): 175–182. BARTHÉLEMY, M. (2010): Spatial networks Physics Reports 499: 1–101. BAZZANI, A.–GIORGINI, B.–RAMBALDI, S.–GALLOTTI, R.–GIOVANNINI, L. (2010): Statistical laws in urban mobility from microscopic GPS data in the area of Florence Journal of Statistical Mechanics: Theory and Experiment 2010: P05001. BETTENCOURT, L.–WEST, G. (2010): A unified theory of urban living Nature 467: 912–913. BLOCK, H.–MARSCHAK, J. (1960): Random orderings and stochastic theories of responses Contributions to probability and statistics 2: 97–132. BROCKMANN, D.–HUFNAGEL, L.–GEISEL, T. (2006): The scaling laws of human travel Nature 439: 462–465. COHEN, J. E.–ROIG, M.–REUMAN, D.C.–GOGWILT, C. (2008): International migration beyond gravity: A statistical model for use in population projections Proceedings of the National Academy of Sciences 105 (40): 15269–15274. GONZÁLEZ, M.C.–HIDALGO, C.A.–BARABÁSI, A. L. (2008): Understanding individual human mobility patterns Nature 453: 779–782. LUKERMANN, F.–PORTER, P.W. (1960): Gravity and potential models in economic geography Annals of the Association of American Geographers 50 (4): 493–504. RITCHEY, P. N. (1976): Explanations of migration Annual Review of Sociology 2: 363–404. SIMINI, F.–GONZÁLEZ, M.C.–MARITAN, A.–BARABÁSI, A.L. (2012): A universal model for mobility and migration patterns Nature 484: 96. SIMINI, F.–MARITAN, A.–NÉDA, Z. (2013): Human Mobility in a Continuum Approach. PLoS ONE 8(3): e60069. STOUFFER, S.A. (1940): Intervening opportunities: a theory relating mobility and distance American Sociological Review 5 (6): 845–867. VARGA, L.–KOVÁCS, A.–TÓTH, G.–PAPP, I.–NÉDA, Z. (2016): Further We Travel the Faster We Go PLoS ONE 11 (2): e0148913. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/76806 |