IDEAS home Printed from https://ideas.repec.org/a/eee/juecon/v86y2015icp111-127.html

The gender gap in non-work travel: The relative roles of income earning potential and land use

Author

Listed:
  • Boarnet, Marlon G.
  • Hsu, Hsin-Ping

Abstract

We empirically test two hypotheses: (1) that gender differences in income earning potential play a role in the within-household division of non-work travel and (2) that compact land use development can reduce the within-household gender gap in non-work travel. Using the 2001 Southern California Household Travel Survey, we find that non-work travel patterns for men and women do not vary much by gender unless children are in the household. Households with children display a striking difference in chauffeuring trips and women bear most of the chauffeuring burden. Adjusting for sociodemographics, women in households with children take over 300% more chauffeuring trips than do men living alone. The difference in chauffeuring trips among females and males within the household, the “within-household, female–male chauffeuring gap”, is larger for households with employed males and smaller in households with employed females. The chauffeuring gap is smaller when the woman’s earning power is larger compared to the man in the same household. The chauffeuring gap is larger for households that have higher amounts of single family residential land use in the quarter-mile area around their residence, and the chauffeuring gap is larger for households that live farther than a half mile from the nearest bus stop. The magnitude of the effect of those two land use variables on the chauffeuring gap is similar to the magnitude of variables that measure within-household differences in income-earning potential or female and male employment status, suggesting that more dense land use and better transit service can help reduce disproportionate chauffeuring burdens of women.

Suggested Citation

  • Boarnet, Marlon G. & Hsu, Hsin-Ping, 2015. "The gender gap in non-work travel: The relative roles of income earning potential and land use," Journal of Urban Economics, Elsevier, vol. 86(C), pages 111-127.
  • Handle: RePEc:eee:juecon:v:86:y:2015:i:c:p:111-127
    DOI: 10.1016/j.jue.2015.01.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0094119015000066
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jue.2015.01.005?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Freedman, David A & Peters, Stephen C, 1984. "Bootstrapping an Econometric Model: Some Empirical Results," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(2), pages 150-158, April.
    2. Crane, Randall, 2007. "Is There a Quiet Revolution in Women's Travel? Revisiting the Gender Gap in Commuting," University of California Transportation Center, Working Papers qt8nj9n8nb, University of California Transportation Center.
    3. Jacob A. Mincer, 1974. "Introduction to "Schooling, Experience, and Earnings"," NBER Chapters, in: Schooling, Experience, and Earnings, pages 1-4, National Bureau of Economic Research, Inc.
    4. Boarnet, Marlon G. & Joh, Kenneth & Siembab, Walter & Fulton, William & Nguyen, Mai Thi, 2011. "Retrofitting the Suburbs to Increase Walking," University of California Transportation Center, Working Papers qt3d41w1jw, University of California Transportation Center.
    5. Marlon G. Boarnet & Kenneth Joh & Walter Siembab & William Fulton & Mai Thi Nguyen, 2011. "Retrofitting the Suburbs to Increase Walking: Evidence from a Land-use-Travel Study," Urban Studies, Urban Studies Journal Limited, vol. 48(1), pages 129-159, January.
    6. Amith Yarlagadda & Sivaramakrishnan Srinivasan, 2008. "Modeling children’s school travel mode and parental escort decisions," Transportation, Springer, vol. 35(2), pages 201-218, March.
    7. Jacob A. Mincer, 1974. "Schooling and Earnings," NBER Chapters, in: Schooling, Experience, and Earnings, pages 41-63, National Bureau of Economic Research, Inc.
    8. Jacob A. Mincer, 1974. "Schooling, Experience, and Earnings," NBER Books, National Bureau of Economic Research, Inc, number minc74-1, March.
    9. Spiller, Elisheba & Stephens, Heather M. & Timmins, Christopher & Smith, Allison, 2012. "Does the Substitutability of Public Transit Affect Commuters’ Response to Gasoline Price Changes?," RFF Working Paper Series dp-12-29, Resources for the Future.
    10. Carver, Alison & Timperio, Anna & Crawford, David, 2013. "Parental chauffeurs: what drives their transport choice?," Journal of Transport Geography, Elsevier, vol. 26(C), pages 72-77.
    11. Allen M. Parkman, 2004. "Bargaining Over Housework," American Journal of Economics and Sociology, Wiley Blackwell, vol. 63(4), pages 765-794, October.
    12. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LLC, vol. 2(4), pages 358-377, November.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lingqian Hu, 2021. "Gender differences in commuting travel in the U.S.: interactive effects of race/ethnicity and household structure," Transportation, Springer, vol. 48(2), pages 909-929, April.
    2. Jerònia Cubells & Oriol Marquet & Carme Miralles-Guasch, 2020. "Gender and Age Differences in Metropolitan Car Use. Recent Gender Gap Trends in Private Transport," Sustainability, MDPI, vol. 12(18), pages 1-14, September.
    3. Popovich, Natalie & Spurlock, C. Anna & Needell, Zachary & Jin, Ling & Wenzel, Tom & Sheppard, Colin & Asudegi, Mona, 2021. "A methodology to develop a geospatial transportation typology," Journal of Transport Geography, Elsevier, vol. 93(C).
    4. Xian, Shi & Zhang, Huiying & Wang, Jiamin & Chen, Yu, 2025. "Gender differences in mobility: Exploring the non-linear relationship in multiple contexts using decision tree algorithms," Journal of Transport Geography, Elsevier, vol. 127(C).
    5. Chidambaram, Bhuvanachithra & Scheiner, Joachim, 2020. "Understanding relative commuting within dual-earner couples in Germany," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 113-129.
    6. Lo, Ashley Wan-Tzu & Kono, Tatsuhito, 2023. "Measuring the Gender Differences in Value of Time by Household Life Stage: An Intertemporal Analysis based on Japan Household Panel Survey," MPRA Paper 116111, University Library of Munich, Germany.
    7. Luan, Siliang & Yang, Qingfang & Jiang, Zhongtai & Wang, Wei, 2021. "Exploring the impact of COVID-19 on individual's travel mode choice in China," Transport Policy, Elsevier, vol. 106(C), pages 271-280.
    8. Xiaoquan Wang & Weifeng Wang & Chaoying Yin, 2023. "Exploring the Relationships between Multilevel Built Environments and Commute Durations in Dual-Earner Households: Does Gender Matter?," IJERPH, MDPI, vol. 20(6), pages 1-17, March.
    9. Havet, Nathalie & Bayart, Caroline & Bonnel, Patrick, 2021. "Why do Gender Differences in Daily Mobility Behaviours persist among workers?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 145(C), pages 34-48.
    10. Mizuki Kawabata & Yukiko Abe, 2016. "Spatial dimensions of intra-metropolitan disparities in commuting time and female labor force participation," Keio-IES Discussion Paper Series 2016-024, Institute for Economics Studies, Keio University.
    11. Sersli, Stephanie & Gislason, Maya & Scott, Nicholas & Winters, Meghan, 2020. "Riding alone and together: Is mobility of care at odds with mothers' bicycling?," Journal of Transport Geography, Elsevier, vol. 83(C).
    12. Wang, Donggen & Yang, Min, 2023. "Gendered mobility and activity pattern: implications for gendered mental health," Journal of Transport Geography, Elsevier, vol. 110(C).
    13. Li, Yongling & Geertman, Stan & Hooimeijer, Pieter & Lin, Yanliu & Yang, Haoran, 2021. "Do migrants and locals differ in commuting behavior? A case study of Xiamen, China," Transport Policy, Elsevier, vol. 108(C), pages 1-10.
    14. Shirgaokar, Manish, 2019. "Operationalizing gendered transportation preferences: A psychological framework incorporating time constraints and risk aversion," Transport Policy, Elsevier, vol. 75(C), pages 10-18.
    15. Chizzali, Carolina & Dianin, Alberto & Rabbiosi, Chiara, 2025. "Needs and norms shaping the mobility of care of women in rural areas: A case study in the Alps," Journal of Transport Geography, Elsevier, vol. 127(C).
    16. AitBihiOuali, Laila & Graham, Daniel J., 2021. "The impact of the MeToo scandal on women’s perceptions of security," Transportation Research Part A: Policy and Practice, Elsevier, vol. 147(C), pages 269-283.
    17. Apostolos Papagiannakis & Athena Yiannakou, 2022. "Do Citizens Understand the Benefits of Transit-Oriented Development? Exploring and Modeling Community Perceptions of a Metro Line under Construction in Thessaloniki, Greece," Sustainability, MDPI, vol. 14(12), pages 1-22, June.
    18. Kawabata, Mizuki & Abe, Yukiko, 2018. "Intra-metropolitan spatial patterns of female labor force participation and commute times in Tokyo," Regional Science and Urban Economics, Elsevier, vol. 68(C), pages 291-303.
    19. Lo, Ashley Wan-Tzu & Kono, Tatsuhito, 2024. "Measuring gendered values of time for married couples by life stage based on an intertemporal household utility-maximization model," Transportation Research Part B: Methodological, Elsevier, vol. 188(C).
    20. Maciejewska, Monika & Marquet, Oriol & Miralles-Guasch, Carme, 2019. "Changes in gendered mobility patterns in the context of the Great Recession (2007–2012)," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    21. Manish Shirgaokar & Kelly Lanyi-Bennett, 2020. "I’ll have to drive there: How daily time constraints impact women’s car use differently than men’s," Transportation, Springer, vol. 47(3), pages 1365-1392, June.
    22. Lo, A. W.-T. & Houston, D., 2018. "How do compact, accessible, and walkable communities promote gender equality in spatial behavior?," Journal of Transport Geography, Elsevier, vol. 68(C), pages 42-54.
    23. Yingling Fan, 2017. "Household structure and gender differences in travel time: spouse/partner presence, parenthood, and breadwinner status," Transportation, Springer, vol. 44(2), pages 271-291, March.
    24. Oyenubi, Adeola & Kollamparambil, Umakrishnan & Ncobo, Mandisa, 2025. "Gender gap in travel time and trip Purpose: Pre-, during and post Covid19 evidence," Research in Transportation Economics, Elsevier, vol. 111(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Domadenik, Polona & Far?nik, Daša & Pastore, Francesco, 2013. "Horizontal Mismatch in the Labour Market of Graduates: The Role of Signalling," IZA Discussion Papers 7527, Institute of Labor Economics (IZA).
    2. Michaela Fuchs & Anja Rossen & Antje Weyh & Gabriele Wydra‐Somaggio, 2021. "Where do women earn more than men? Explaining regional differences in the gender pay gap," Journal of Regional Science, Wiley Blackwell, vol. 61(5), pages 1065-1086, November.
    3. Kaiser, Ulrich & Malchow-Møller, Nikolaj, 2011. "Is self-employment really a bad experience?: The effects of previous self-employment on subsequent wage-employment wages," Journal of Business Venturing, Elsevier, vol. 26(5), pages 572-588, September.
    4. Fuchs, Michaela & Rossen, Anja & Weyh, Antje & Wydra-Somaggio, Gabriele, 2019. "Why do women earn more than men in some regions? : Explaining regional differences in the gender pay gap in Germany," IAB-Discussion Paper 201911, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    5. P. Lovaglio & S. Verzillo, 2016. "Heterogeneous economic returns to higher education: evidence from Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 50(2), pages 791-822, March.
    6. Madalina Ecaterina Popescu & Eva Militaru, 2017. "Education and Wage Inequalities under a Counterfactual Scenario of Minimum Wage," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 13(6), pages 267-277, DECEMBER.
    7. Jennie Brand & Dwight Davis, 2011. "The Impact of College Education on Fertility: Evidence for Heterogeneous Effects," Demography, Springer;Population Association of America (PAA), vol. 48(3), pages 863-887, August.
    8. Rajeev Darolia & Cory Koedel & Paco Martorell & Katie Wilson & Francisco Perez‐Arce, 2015. "Do Employers Prefer Workers Who Attend For‐Profit Colleges? Evidence from a Field Experiment," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 34(4), pages 881-903, September.
    9. Paul W. Miller & Barry R. Chiswick, 2002. "Immigrant earnings: Language skills, linguistic concentrations and the business cycle," Journal of Population Economics, Springer;European Society for Population Economics, vol. 15(1), pages 31-57.
    10. Munyanyi, Musharavati Ephraim, 2012. "Education and Earnings nexus in Zimbabwe after the 2005-2008 hyper-inflationary period: An empirical analysis," MPRA Paper 75112, University Library of Munich, Germany.
    11. Boikos, Spyridon & Bucci, Alberto & Stengos, Thanasis, 2013. "Non-monotonicity of fertility in human capital accumulation and economic growth," Journal of Macroeconomics, Elsevier, vol. 38(PA), pages 44-59.
    12. Benjamin Scharadin & Edward C. Jaenicke, 2020. "Time spent on childcare and the household Healthy Eating Index," Review of Economics of the Household, Springer, vol. 18(2), pages 357-386, June.
    13. Johannes Schwarze, 1990. "Ausbildung und Einkommen: eine vergleichende Humankapitalanalyse für beide deutsche Staaten," Discussion Papers of DIW Berlin 12, DIW Berlin, German Institute for Economic Research.
    14. Benchimol, Jonathan & El-Shagi, Makram & Saadon, Yossi, 2022. "Do expert experience and characteristics affect inflation forecasts?," Journal of Economic Behavior & Organization, Elsevier, vol. 201(C), pages 205-226.
    15. Zafar Mueen Nasir & Nasir Iqbal, 2009. "Employers Size Wage Differential: Does Investment in Human Capital Matter?," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 48(4), pages 509-521.
    16. Ayaka Nakamura, 2019. "The Effect of Employer Tenure on Wages in Japan," OSIPP Discussion Paper 19E007, Osaka School of International Public Policy, Osaka University.
    17. Katarzyna Growiec & Jakub Growiec, 2016. "Bridging Social Capital and Individual Earnings: Evidence for an Inverted U," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 127(2), pages 601-631, June.
    18. Kaspar W thrich, 2013. "Set Identification of Generalized Linear Predictors in the Presence of Non-Classical Measurement Errors," Diskussionsschriften dp1304, Universitaet Bern, Departement Volkswirtschaft.
    19. Corrado Andini, 2022. "Tertiary education for all and wage inequality: policy insights from quantile regression," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 50(6), pages 1281-1296, November.
    20. Roel van Elk & Marc van der Steeg & Dinand Webbink, 2013. "The effects of a special program for multi-problem school dropouts on educational enrolment, employment and criminal behaviour; Evidence from a field experiment," CPB Discussion Paper 241.rdf, CPB Netherlands Bureau for Economic Policy Analysis.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:juecon:v:86:y:2015:i:c:p:111-127. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622905 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.