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Spatial interaction models from Irish commuting data: variations in trip length by occupation and gender

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  • Morton O’Kelly
  • Michael Niedzielski
  • Justin Gleeson

Abstract

Core and peripheral contrasts in journey-to-work trip length can be interpreted as imputing the relative value of origin and destination accessibility (yielding theoretical proxies for rent and wages). Because the main variables are shown to be critically dependent on spatial structure, they may be interpreted as showing the shadow prices due to comparative location. There is also a unifying connection between these results and the existing literature on many dimensions: rent gradients, accessibility, and emissivity. In an empirical example, the advantages of a panoramic view of national commuting statistics are shown, using an Irish data set. Variations in the rates of participation in trip making by location, occupation, and gender are examined. Places that emit more trips than would be expected from their relative location are identified. Further, examining ways in which such emissivity is sensitive to a change in trip length highlights the regions where trips could possibly be adjusted to produce a shorter average trip length or which might be especially sensitive to reduction in employment. A careful reinterpretation of one of the key outputs from a calibrated spatial interaction model is shown to be consistent with the declining rent gradient expected from Alonso’s theory of land use. Copyright Springer-Verlag 2012

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  • Morton O’Kelly & Michael Niedzielski & Justin Gleeson, 2012. "Spatial interaction models from Irish commuting data: variations in trip length by occupation and gender," Journal of Geographical Systems, Springer, vol. 14(4), pages 357-387, October.
    • Handle: RePEc:kap:jgeosy:v:14:y:2012:i:4:p:357-387
    DOI: 10.1007/s10109-011-0159-3
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    References listed on IDEAS

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    Cited by:

    1. Achim Ahrens & Sean Lyons, 2021. "Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland," Urban Studies, Urban Studies Journal Limited, vol. 58(2), pages 264-279, February.
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    3. Arnaud Adam & Jean-Charles Delvenne & Isabelle Thomas, 2018. "Detecting communities with the multi-scale Louvain method: robustness test on the metropolitan area of Brussels," Journal of Geographical Systems, Springer, vol. 20(4), pages 363-386, October.
    4. Goliszek Sławomir & Połom Marcin & Duma Patryk, 2020. "Potential and cumulative accessibility of workplaces by public transport in Szczecin," Bulletin of Geography. Socio-economic Series, Sciendo, vol. 50(50), pages 133-146, December.
    5. Sławomir Goliszek, 2021. "GIS tools and programming languages for creating models of public and private transport potential accessibility in Szczecin, Poland," Journal of Geographical Systems, Springer, vol. 23(1), pages 115-137, January.
    6. José M. Casado-Díaz & Raquel Simón-Albert & Hipólito Simón, 2023. "Gender Differences in Commuting: New Evidence from Spain," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(3), pages 907-941, October.
    7. Giménez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2022. "Trends in commuting time of European workers: A cross-country analysis," Transport Policy, Elsevier, vol. 116(C), pages 327-342.
    8. Giménez-Nadal, José Ignacio & Velilla, Jorge & Ortega-Lapiedra, Raquel, 2024. "Differences in commuting between employee and self-employed workers: The case of Latin America," Journal of Transport Geography, Elsevier, vol. 114(C).
    9. 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.
    10. Giménez-Nadal, José Ignacio & Velilla, Jorge & Ortega, Raquel, 2022. "Revisiting excess commuting and self-employment: The case of Latin America," GLO Discussion Paper Series 1179, Global Labor Organization (GLO).
    11. Martin Watts, 2013. "Commentary," Environment and Planning A, , vol. 45(7), pages 1528-1535, July.
    12. Yongha Park & Morton E O’Kelly, 2017. "Exploring accessibility from spatial interaction data: An evaluation of the Essential Air Service (EAS) program in the contiguous US air transport system," Environment and Planning A, , vol. 49(4), pages 930-951, April.
    13. Mengyao Ren & Yaoyu Lin & Meihan Jin & Zhongyuan Duan & Yongxi Gong & Yu Liu, 2020. "Examining the effect of land-use function complementarity on intra-urban spatial interactions using metro smart card records," Transportation, Springer, vol. 47(4), pages 1607-1629, August.
    14. Goliszek Sławomir, 2022. "The potential accessibility to workplaces and working-age population by means of public and private car transport in Szczecin," Miscellanea Geographica. Regional Studies on Development, Sciendo, vol. 26(1), pages 31-41, January.
    15. Jiri Horak & Jan Tesla & David Fojtik & Vit Vozenilek, 2019. "Modelling Public Transport Accessibility with Monte Carlo Stochastic Simulations: A Case Study of Ostrava," Sustainability, MDPI, vol. 11(24), pages 1-25, December.
    16. David Jung-Hwi Lee & Jean-Michel Guldmann, 2023. "Optimal Regional Allocation of Future Population and Employment under Urban Boundary and Density Constraints: A Spatial Interaction Modeling Approach," Land, MDPI, vol. 12(2), pages 1-33, February.
    17. Ta, Na & Zhao, Ying & Chai, Yanwei, 2016. "Built environment, peak hours and route choice efficiency: An investigation of commuting efficiency using GPS data," Journal of Transport Geography, Elsevier, vol. 57(C), pages 161-170.
    18. Xiao Li & Steven Farber, 2016. "Spatial representation in the social interaction potential metric: an analysis of scale and parameter sensitivity," Journal of Geographical Systems, Springer, vol. 18(4), pages 331-357, October.
    19. Gimenez-Nadal, José Ignacio & Molina, José Alberto & Velilla, Jorge, 2023. "Pro-environment Attitudes and Worker Commuting Behavior," IZA Discussion Papers 16279, Institute of Labor Economics (IZA).
    20. Feiyang Zhang & Becky P. Y. Loo & Hui Lan & Antoni B. Chan & Janet H. Hsiao, 2024. "Jobs-housing balance and travel patterns among different occupations as revealed by Hidden Markov mixture models: the case of Hong Kong," Transportation, Springer, vol. 51(5), pages 1857-1877, October.
    21. Yujie Hu & Fahui Wang & Chester Wilmot, 2020. "Commuting Variability by Wage Groups in Baton Rouge 1990-2010," Papers 2006.03498, arXiv.org.

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    More about this item

    Keywords

    Commuting; Journey-to-work; Spatial interaction; R12; R23;
    All these keywords.

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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