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An Integrated Model Of Residential And Employment Location In A Metropolitan Region

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  • Christer Anderstig
  • Lars‐Göran Mattsson

Abstract

ABSTRACT The purpose of this paper is to improve the tools available for analyzing and evaluating land use and transport policies in a regional planning context. A normative residential location submodel is combined with a predictive submodel for the location of employment. The demand side of the residential location submodel is formulated as a nested multinomial logit model of the joint choice of residential location submodel is formulated as a nested multinormial logit model of the joint choice of residential location and transportation mode. The cost of commuting is assumed to be a major determinant of locational choice. The employment location submodel is based on the assumption that accessibility to the labor force is the strategic location factor. Two versions of the submodels are proposed corresponding to a post‐ and pre‐distribution modal split in the familiar four step transport model. Policy tests of a newly proposed, large‐scale traffic investment program in the Stockholm region are reported.

Suggested Citation

  • Christer Anderstig & Lars‐Göran Mattsson, 1991. "An Integrated Model Of Residential And Employment Location In A Metropolitan Region," Papers in Regional Science, Wiley Blackwell, vol. 70(2), pages 167-184, April.
    • Handle: RePEc:bla:presci:v:70:y:1991:i:2:p:167-184
    DOI: 10.1111/j.1435-5597.1991.tb01726.x
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    Cited by:

    1. Eliasson, Jonas & Mattsson, Lars-Göran, 2000. "A model for integrated analysis of household location and travel choices," Transportation Research Part A: Policy and Practice, Elsevier, vol. 34(5), pages 375-394, June.
    2. Jonsson, R. Daniel, 2008. "Analysing sustainability in a land-use and transport system," Journal of Transport Geography, Elsevier, vol. 16(1), pages 28-41.
    3. Arnstein Gjestland & Inge Thorsen & Jan Ubøe, 2006. "Some aspects of the intraregional spatial distribution of local sector activities," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 40(3), pages 559-582, August.
    4. Li, Tongfei & Sun, Huijun & Wu, Jianjun & Ge, Ying-en, 2017. "Optimal toll of new highway in the equilibrium framework of heterogeneous households' residential location choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 105(C), pages 123-137.
    5. Vold, Arild, 2005. "Optimal land use and transport planning for the Greater Oslo area," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(6), pages 548-565, July.
    6. Vold, Arild, 2006. "Phased implementation of transport pricing for Greater Oslo," Transport Policy, Elsevier, vol. 13(2), pages 140-148, March.
    7. Qiang Meng & Hai Yang & Sze-Chun Wong, 2000. "A Combined Land-Use and Transportation Model for Work Trips," Environment and Planning B, , vol. 27(1), pages 93-103, February.
    8. Mattsson, Lars-Goeran & Sjoelin, Lina, 2002. "Transport and location effects of a ring road with or without road pricing," ERSA conference papers ersa02p056, European Regional Science Association.
    9. Xu, Meng & Grant-Muller, Susan, 2016. "Trip mode and travel pattern impacts of a Tradable Credits Scheme: A case study of Beijing," Transport Policy, Elsevier, vol. 47(C), pages 72-83.
    10. C K Wong & C O Tong & S C Wong, 1999. "The Development and Calibration of a Lowry Model with Multiple Market Segments," Environment and Planning A, , vol. 31(11), pages 1905-1918, November.
    11. Mahmood Shoorcheh & Hamidreza Varesi & Jamal Mohammadi & Todd Litman, 2016. "Urban Growth Structure and Travel Behavior in Tehran City," Modern Applied Science, Canadian Center of Science and Education, vol. 10(8), pages 1-32, August.
    12. Michael Wegener & Franz Fuerst, 2004. "Land-Use Transport Interaction: State of the Art," Urban/Regional 0409005, University Library of Munich, Germany.
    13. Lopes, André Soares & Cavalcante, Camila Bandeira & Vale, David Sousa & Loureiro, Carlos Felipe Grangeiro, 2020. "Convergence of planning practices towards LUT integration: Seeking evidences in a developing country," Land Use Policy, Elsevier, vol. 99(C).
    14. Keirstead, James & Jennings, Mark & Sivakumar, Aruna, 2012. "A review of urban energy system models: Approaches, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 3847-3866.
    15. Rui Ding, 2019. "The Complex Network Theory-Based Urban Land-Use and Transport Interaction Studies," Complexity, Hindawi, vol. 2019, pages 1-14, June.
    16. Boyce, David, 2007. "Future research on urban transportation network modeling," Regional Science and Urban Economics, Elsevier, vol. 37(4), pages 472-481, July.
    17. Boyce, David & Mattsson, Lars-Göran, 1999. "Modeling residential location choice in relation to housing location and road tolls on congested urban highway networks," Transportation Research Part B: Methodological, Elsevier, vol. 33(8), pages 581-591, November.
    18. Ma, Xiaosu & Lo, Hong K., 2012. "Modeling transport management and land use over time," Transportation Research Part B: Methodological, Elsevier, vol. 46(6), pages 687-709.
    19. Katarzyna Kopczewska & Mateusz Kopyt & Piotr Ćwiakowski, 2021. "Spatial Interactions in Business and Housing Location Models," Land, MDPI, vol. 10(12), pages 1-25, December.
    20. Chang, Justin Sueun & Mackett, Roger Laurence, 2006. "A bi-level model of the relationship between transport and residential location," Transportation Research Part B: Methodological, Elsevier, vol. 40(2), pages 123-146, February.

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