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Trends in regional jobs-housing proximity based on the minimum commute: The case of Belgium

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  • Saadi, Ismaïl
  • Boussauw, Kobe
  • Teller, Jacques
  • Cools, Mario

Abstract

This paper investigates recent trends in the efficiency of the Belgian territorial structure in terms of commuting, at both the urban and regional scales. The minimum commute distance (MCD) and excess rate (ER) are used to compare observed home-to-work trip lengths with an “optimal” alternative commuter pattern in which the sum of the distance traveled by the working population is minimized. The MCD is a proximity indicator that measures the spatial match between the labor market and the housing stock, which can also be regarded as an interesting indicator of potential border effects on travel behavior, especially in the inter-regional context of Belgium. An MCD calculation requires an origin–destination (OD) matrix and a distance matrix. In our Belgian case study, we employ a recent OD matrix (2010) originating from Social Security (ONSS) data. We compare this matrix with data from the 2001 and 1991 census surveys. In addition to identifying trends in jobs-housing proximity, the article assesses methodological implications regarding geographical scale arising from the use of the two data sources mentioned. Based on the available data, it was found that average actual commuting distance increased over both periods studied, while in general, growth rates of MCD are considerably lower than growth rates of the actual commuting distance. This indicates that the spatial proximity between the labor market and the housing stock in Belgium has declined over all periods studied, although this loss of spatial proximity only explains a small part of the increase of the actual commuting distance. Furthermore, we found that the comparison of excess commuting metrics between regions and time periods sets high standards on data requirements, in which uniformity in data collection and spatial level of aggregation is of great importance. Finally, as the main contribution of this study, the results demonstrate, through a statistical approach, that municipalities that are experiencing a higher-than-average increase in MCD and ER in one of the considered time frames are more likely to continue to exhibit a higher-than-average increase in the subsequent period. Therefore, the observed trends appear to be consistent over time.

Suggested Citation

  • Saadi, Ismaïl & Boussauw, Kobe & Teller, Jacques & Cools, Mario, 2016. "Trends in regional jobs-housing proximity based on the minimum commute: The case of Belgium," Journal of Transport Geography, Elsevier, vol. 57(C), pages 171-183.
    • Handle: RePEc:eee:jotrge:v:57:y:2016:i:c:p:171-183
    DOI: 10.1016/j.jtrangeo.2016.10.010
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    1. Kobe Boussauw & Veronique Van Acker & Frank Witlox, 2012. "Excess Travel In Non‐Professional Trips: Why Look For It Miles Away?," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 103(1), pages 20-38, February.
    2. Zhou, Jiangping & Wang, Yin & Schweitzer, Lisa, 2012. "Jobs/housing balance and employer-based travel demand management program returns to scale: Evidence from Los Angeles," Transport Policy, Elsevier, vol. 20(C), pages 22-35.
    3. Mathieu Charron, 2007. "From Excess Commuting to Commuting Possibilities: More Extension to the Concept of Excess Commuting," Environment and Planning A, , vol. 39(5), pages 1238-1254, May.
    4. Mark W Horner, 2010. "Exploring the Sensitivity of Jobs — Housing Statistics to Imperfect Travel Time Information," Environment and Planning B, , vol. 37(2), pages 367-375, April.
    5. Kang‐Rae Ma & David Banister, 2006. "Excess Commuting: A Critical Review," Transport Reviews, Taylor & Francis Journals, vol. 26(6), pages 749-767, May.
    6. Michael A. Niedzielski, 2006. "A Spatially Disaggregated Approach to Commuting Efficiency," Urban Studies, Urban Studies Journal Limited, vol. 43(13), pages 2485-2502, December.
    7. Murphy, Enda, 2009. "Excess commuting and modal choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(8), pages 735-743, October.
    8. Suzuki, Tsutomu & Lee, Sohee, 2012. "Jobs–housing imbalance, spatial correlation, and excess commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 322-336.
    9. Hu, Yujie & Wang, Fahui, 2015. "Decomposing excess commuting: a Monte Carlo simulation approach," Journal of Transport Geography, Elsevier, vol. 44(C), pages 43-52.
    10. Zhou, Jiangping & Murphy, Enda & Long, Ying, 2014. "Commuting efficiency in the Beijing metropolitan area: an exploration combining smartcard and travel survey data," Journal of Transport Geography, Elsevier, vol. 41(C), pages 175-183.
    11. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    12. Niedzielski, Michael A. & Horner, Mark W. & Xiao, Ningchuan, 2013. "Analyzing scale independence in jobs-housing and commute efficiency metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 58(C), pages 129-143.
    13. White, Michelle J, 1988. "Urban Commuting Journeys Are Not "Wasteful."," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 1097-1110, October.
    14. Rouwendal, Jan, 1999. "Spatial job search and commuting distances," Regional Science and Urban Economics, Elsevier, vol. 29(4), pages 491-517, July.
    15. Anne Aguilera, 2005. "Growth in Commuting Distances in French Polycentric Metropolitan Areas: Paris, Lyon and Marseille," Urban Studies, Urban Studies Journal Limited, vol. 42(9), pages 1537-1547, August.
    16. D Banister & S Watson & C Wood, 1997. "Sustainable Cities: Transport, Energy, and Urban Form," Environment and Planning B, , vol. 24(1), pages 125-143, February.
    17. Mark W Horner, 2002. "Extensions to the Concept of Excess Commuting," Environment and Planning A, , vol. 34(3), pages 543-566, March.
    18. Jiangping, Zhou & Chun, Zhang & Xiaojian, Chen & Wei, Huang & Peng, Yu, 2014. "Has the legacy of Danwei persisted in transformations? the jobs-housing balance and commuting efficiency in Xi’an," Journal of Transport Geography, Elsevier, vol. 40(C), pages 64-76.
    19. Loo, Becky P.Y. & Chow, Alice S.Y., 2011. "Jobs-housing balance in an era of population decentralization: An analytical framework and a case study," Journal of Transport Geography, Elsevier, vol. 19(4), pages 552-562.
    20. Sharma, Ajay & Chandrasekhar, S., 2014. "Growth of the Urban Shadow, Spatial Distribution of Economic Activities, and Commuting by Workers in Rural and Urban India," World Development, Elsevier, vol. 61(C), pages 154-166.
    21. Frost, Martin & Linneker, Brian & Spence, Nigel, 1998. "Excess or wasteful commuting in a selection of British cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(7), pages 529-538, September.
    22. van Ommeren, Jos & Rietveld, Piet & Nijkamp, Peter, 1997. "Commuting: In Search of Jobs and Residences," Journal of Urban Economics, Elsevier, vol. 42(3), pages 402-421, November.
    23. Kang-Rae Ma & David Banister, 2006. "Extended Excess Commuting: A Measure of the Jobs-Housing Imbalance in Seoul," Urban Studies, Urban Studies Journal Limited, vol. 43(11), pages 2099-2113, October.
    24. Veronique Van Acker & Frank Witlox & Bert Van Wee, 2007. "The Effects of the Land Use System on Travel Behavior: A Structural Equation Modeling Approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 30(4), pages 331-353, May.
    25. Mark Horner & Alan Murray, 2003. "A Multi-objective Approach to Improving Regional Jobs-Housing Balance," Regional Studies, Taylor & Francis Journals, vol. 37(2), pages 135-146.
    26. Zhao, Pengjun & Lü, Bin & Roo, Gert de, 2011. "Impact of the jobs-housing balance on urban commuting in Beijing in the transformation era," Journal of Transport Geography, Elsevier, vol. 19(1), pages 59-69.
    27. Kanaroglou, Pavlos S. & Higgins, Christopher D. & Chowdhury, Tufayel A., 2015. "Excess commuting: a critical review and comparative analysis of concepts, indices, and policy implications," Journal of Transport Geography, Elsevier, vol. 44(C), pages 13-23.
    28. White, M.J., 1988. "Urban Commuting Journeys Are Not Wasteful," Papers 88-10, Michigan - Center for Research on Economic & Social Theory.
    29. Sandow, Erika & Westin, Kerstin, 2010. "The persevering commuter - Duration of long-distance commuting," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(6), pages 433-445, July.
    30. Kobe Boussauw & Tijs Neutens & Frank Witlox, 2011. "Minimum commuting distance as a spatial characteristic in a non‐monocentric urban system: The case of Flanders," Papers in Regional Science, Wiley Blackwell, vol. 90(1), pages 47-65, March.
    31. Jiawen Yang & Joseph Ferreira Jr, 2008. "Choices versus Choice Sets: A Commuting Spectrum Method for Representing Job — Housing Possibilities," Environment and Planning B, , vol. 35(2), pages 364-378, April.
    32. Wang, Donggen & Chai, Yanwei, 2009. "The jobs–housing relationship and commuting in Beijing, China: the legacy of Danwei," Journal of Transport Geography, Elsevier, vol. 17(1), pages 30-38.
    33. Michiel van Meeteren & Kobe Boussauw & Ben Derudder & Frank Witlox, 2016. "Flemish Diamond or ABC-Axis? The spatial structure of the Belgian metropolitan area," European Planning Studies, Taylor & Francis Journals, vol. 24(5), pages 974-995, May.
    34. Mark W. Horner & Alan T. Murray, 2002. "Excess Commuting and the Modifiable Areal Unit Problem," Urban Studies, Urban Studies Journal Limited, vol. 39(1), pages 131-139, January.
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    6. Haonan Zhang & Hu Zhao & Saisai Meng & Yanghua Zhang, 2022. "Research on the Jobs-Housing Balance of Residents in Peri-Urbanization Areas in China: A Case Study of Zoucheng County," Sustainability, MDPI, vol. 14(13), pages 1-24, June.

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