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Forecasting Dynamics of Daily Commuting to Work to Other Municipality in the Case of Changing Taxation Policies

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Closing the Gap Between Practice and Research in Industrial Engineering

Part of the book series: Lecture Notes in Management and Industrial Engineering ((LNMIE))

Abstract

The forecasting of dynamics of trips to work is an important indicator for planning transportation in regions. The impact of changing property taxation on daily commuting of human resources is studied here using normalised and extended gravity model with the acronym NE_SIM. The taxation model is included in the NE_SIM gravity approach. The results for Slovenia are presented as a case study. The regression analysis of the linearized model implemented in Slovenia shows the following: if the property tax in the biggest city would increase so that the difference between interest rate and taxation rate would fall from 3% to 1% while other parameters would not change, then the daily commuting would increase by nearly 24%. The same approach can be used for forecasting the changes of in-flows in any spatial unit of a certain state, which would enable better planning of inter-municipality’s transport infrastructure and logistics.

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Acknowledgments

The research was partly financed by Slovenian Research Agency under the program P5-0398.

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Correspondence to M. Bogataj .

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Janež, P., Drobne, S., Bogataj, M. (2018). Forecasting Dynamics of Daily Commuting to Work to Other Municipality in the Case of Changing Taxation Policies. In: Viles, E., Ormazábal, M., Lleó, A. (eds) Closing the Gap Between Practice and Research in Industrial Engineering. Lecture Notes in Management and Industrial Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-58409-6_12

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  • DOI: https://doi.org/10.1007/978-3-319-58409-6_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-58408-9

  • Online ISBN: 978-3-319-58409-6

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