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The impacts of built environment on home-based work and non-work trips: An empirical study from Iran

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  • Etminani-Ghasrodashti, Roya
  • Ardeshiri, Mahyar

Abstract

This paper aims to explore the impact of built environment attributes in the scale of one quarter-mile buffers on individuals’ travel behaviors in the metropolitan of Shiraz, Iran. In order to develop this topic, the present research is developed through the analysis of a dataset collected from residents of 22 neighborhoods with variety of land use features. Using household survey on daily activities, this study investigates home-based work and non-work (HBW and HBN) trips. Structural equation models are utilized to examine the relationships between land use attributes and travel behavior while taking into account socio-economic characteristics as the residential self-selection. Results from models indicate that individuals residing in areas with high residential and job density, and shorter distance to sub-centers are more interested in using transit and non-motorized modes. Moreover, residents of neighborhoods with mixed land uses tend to travel less by car and more by transit and non-motorized modes to non-work destinations. Nevertheless, the influences of design measurements such as street density and internal connectivity are mixed in our models. Although higher internal connectivity leads to more transit and non-motorized trips in HBW model, the impacts of design measurements on individuals travel behavior in HBN model are significantly in contrast with research hypothesis. Our study also shows the importance of individuals’ self-selection impacts on travel behaviors; individuals with special socio-demographic attributes live in the neighborhoods with regard to their transportation patterns. The findings of this paper reveal that the effects of built environment attributes on travel behavior in origins of trips do not exactly correspond with the expected predictions, when it comes in practice in a various study context. This study displays the necessity of regarding local conditions of urban areas and the inherent differences between travel destinations in integrating land use and transportation planning.

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  • Etminani-Ghasrodashti, Roya & Ardeshiri, Mahyar, 2016. "The impacts of built environment on home-based work and non-work trips: An empirical study from Iran," Transportation Research Part A: Policy and Practice, Elsevier, vol. 85(C), pages 196-207.
  • Handle: RePEc:eee:transa:v:85:y:2016:i:c:p:196-207
    DOI: 10.1016/j.tra.2016.01.013
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    References listed on IDEAS

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    1. Mokhtarian, Patricia L & Salomon, Ilan & S, Lothlorien, 2001. "Understanding the Demand for Travel: It's Not Purely 'Derived'," University of California Transportation Center, Working Papers qt5bh2d8mh, University of California Transportation Center.
    2. Petter NÆss & Ole Jensen, 2004. "Urban structure matters, even in a small town," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 47(1), pages 35-57.
    3. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    4. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    5. Xinyu (Jason) Cao, 2010. "Exploring Causal Effects of Neighborhood Type on Walking Behavior Using Stratification on the Propensity Score," Environment and Planning A, , vol. 42(2), pages 487-504, February.
    6. Mokhtarian, Patricia L. & Salomon, Ilan, 2001. "How derived is the demand for travel? Some conceptual and measurement considerations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 695-719, September.
    7. Bagley, Michael N & Mokhtarian, Patricia L, 2001. "The impact of residential neighborhood type on travel behavior: A structural equations modeling approach," University of California Transportation Center, Working Papers qt12q634n2, University of California Transportation Center.
    8. Frank, Lawrence Douglas & Saelens, Brian E. & Powell, Ken E. & Chapman, James E., 2007. "Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity?," Social Science & Medicine, Elsevier, vol. 65(9), pages 1898-1914, November.
    9. Lawrence D. Frank & Peter Engelke, 2005. "Multiple Impacts of the Built Environment on Public Health: Walkable Places and the Exposure to Air Pollution," International Regional Science Review, , vol. 28(2), pages 193-216, April.
    10. Van Acker, Veronique & Mokhtarian, Patricia L. & Witlox, Frank, 2014. "Car availability explained by the structural relationships between lifestyles, residential location, and underlying residential and travel attitudes," Transport Policy, Elsevier, vol. 35(C), pages 88-99.
    11. Cervero, Robert B., 2013. "Linking urban transport and land use in developing countries," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 6(1), pages 7-24.
    12. Patricia L. Mokhtarian & Michael N. Bagley, 2002. "The impact of residential neighborhood type on travel behavior: A structural equations modeling approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 36(2), pages 279-297.
    13. Ryuichi Kitamura, 2009. "Life-style and travel demand," Transportation, Springer, vol. 36(6), pages 679-710, November.
    14. Giuliano, Genevieve, 1995. "The Weakening Transportation-Land Use Connection," University of California Transportation Center, Working Papers qt1dn8t3w7, University of California Transportation Center.
    15. Lawrence Frank & Mark Bradley & Sarah Kavage & James Chapman & T. Lawton, 2008. "Urban form, travel time, and cost relationships with tour complexity and mode choice," Transportation, Springer, vol. 35(1), pages 37-54, January.
    16. Colin Vance & Ralf Hedel, 2007. "The impact of urban form on automobile travel: disentangling causation from correlation," Transportation, Springer, vol. 34(5), pages 575-588, September.
    17. de Abreu e Silva, João & Morency, Catherine & Goulias, Konstadinos G., 2012. "Using structural equations modeling to unravel the influence of land use patterns on travel behavior of workers in Montreal," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(8), pages 1252-1264.
    18. Etminani-Ghasrodashti, Roya & Ardeshiri, Mahyar, 2015. "Modeling travel behavior by the structural relationships between lifestyle, built environment and non-working trips," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 506-518.
    19. Boarnet, Marlon & Crane, Randall, 2001. "The influence of land use on travel behavior: specification and estimation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 823-845, November.
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