IDEAS home Printed from https://ideas.repec.org/a/sae/urbstu/v52y2015i6p1090-1112.html
   My bibliography  Save this article

Street network structure and household activity spaces

Author

Listed:
  • Pavithra Parthasarathi

    (CDM Smith, USA)

  • Hartwig Hochmair

    (University of Florida, USA)

  • David Levinson

    (University of Minnesota, USA)

Abstract

This research analyses the influence of street network structure on household travel patterns, as measured by activity spaces. The analysis uses street network and travel survey data from the Minneapolis – St. Paul (Twin Cities) and Miami – Ft. Lauderdale (South Florida) metropolitan areas. Various measures of street network structure are used to quantify street network structure. The activity space polygon for each household in the travel survey data set is identified by combining the destinations reached by all household members on the given travel day including the household location. Statistical regression models are then estimated for each study area to test the relationship between street network structure and household activity space. The results show that network structure has a significant influence on household travel patterns, after controlling for other non-network variables such as accessibility to jobs and shops, and car ownership.

Suggested Citation

  • Pavithra Parthasarathi & Hartwig Hochmair & David Levinson, 2015. "Street network structure and household activity spaces," Urban Studies, Urban Studies Journal Limited, vol. 52(6), pages 1090-1112, May.
    • Handle: RePEc:sae:urbstu:v:52:y:2015:i:6:p:1090-1112
    DOI: 10.1177/0042098014537956
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0042098014537956
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0042098014537956?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
    ---><---

    References listed on IDEAS

    as
    1. Pavithra Parthasarathi & Hartwig Hochmair & David Levinson, 2012. "Network Structure and Spatial Separation," Environment and Planning B, , vol. 39(1), pages 137-154, February.
    2. David Levinson, 2012. "Network Structure and City Size," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-11, January.
    3. Schönfelder, Stefan & Axhausen, Kay W., 2003. "Activity spaces: measures of social exclusion?," Transport Policy, Elsevier, vol. 10(4), pages 273-286, October.
    4. Jiang, Bin, 2007. "A topological pattern of urban street networks: Universality and peculiarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 384(2), pages 647-655.
    5. Timmermans, Harry J.P. & Zhang, Junyi, 2009. "Modeling household activity travel behavior: Examples of state of the art modeling approaches and research agenda," Transportation Research Part B: Methodological, Elsevier, vol. 43(2), pages 187-190, February.
    6. Jenelius, Erik, 2009. "Network structure and travel patterns: explaining the geographical disparities of road network vulnerability," Journal of Transport Geography, Elsevier, vol. 17(3), pages 234-244.
    7. Patuelli, Roberto & Reggiani, Aura & Nijkamp, Peter & Bade, Franz-Josef, 2010. "The evolution of the commuting network in Germany: Spatial and connectivity patterns," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 2(3), pages 5-37.
    8. Smith, Michael S. & Kauermann, Göran, 2011. "Bicycle commuting in Melbourne during the 2000s energy crisis: A semiparametric analysis of intraday volumes," Transportation Research Part B: Methodological, Elsevier, vol. 45(10), pages 1846-1862.
    9. M. T. Gastner & M. E.J. Newman, 2006. "The spatial structure of networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 49(2), pages 247-252, January.
    10. Daganzo, Carlos F., 2010. "Structure of competitive transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 44(4), pages 434-446, May.
    11. Levinson, David & El-Geneidy, Ahmed, 2009. "The minimum circuity frontier and the journey to work," Regional Science and Urban Economics, Elsevier, vol. 39(6), pages 732-738, November.
    12. Alexander Erath & Michael Löchl & Kay Axhausen, 2009. "Graph-Theoretical Analysis of the Swiss Road and Railway Networks Over Time," Networks and Spatial Economics, Springer, vol. 9(3), pages 379-400, September.
    13. Cynthia Jacques & Kevin Manaugh & Ahmed El-Geneidy, 2013. "Rescuing the captive [mode] user: an alternative approach to transport market segmentation," Transportation, Springer, vol. 40(3), pages 625-645, May.
    14. Feng Xie & David M. Levinson, 2011. "Evolving Transportation Networks," Transportation Research, Economics and Policy, Springer, number 978-1-4419-9804-0, December.
    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. Parthasarathi, Pavithra & Levinson, David, 2018. "Network structure and the journey to work: An intra-metropolitan analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 292-304.
    2. Geoff Boeing, 2020. "Planarity and street network representation in urban form analysis," Environment and Planning B, , vol. 47(5), pages 855-869, June.
    3. Boeing, Geoff, 2019. "Street Network Models and Measures for Every U.S. City, County, Urbanized Area, Census Tract, and Zillow-Defined Neighborhood," SocArXiv 7fxjz, Center for Open Science.
    4. Shen, Yue & Luo, Xueyao, 2023. "Linking spatial and temporal contexts to multi-contextual segregation by hukou status in urban China," Journal of Transport Geography, Elsevier, vol. 107(C).
    5. Duan, Zhengyu & Zhao, Haoran & Li, Zhenming, 2023. "Non-linear effects of built environment and socio-demographics on activity space," Journal of Transport Geography, Elsevier, vol. 111(C).
    6. Jie Song & Zhong-Ren Peng & Liyuan Zhao & Chih-Hung Hsu, 2016. "Developing a theoretical framework for integrated vulnerability of businesses to sea level rise," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1219-1239, November.
    7. Boeing, Geoff, 2018. "Urban Spatial Order: Street Network Orientation, Configuration, and Entropy," SocArXiv qj3p5, Center for Open Science.
    8. Barrington-Leigh, Christopher Paul & Millard-Ball, Adam, 2019. "A global assessment of street network sprawl," OSF Preprints 6vp8j, Center for Open Science.
    9. Chua, Vincent & Axhausen, Kay W. & Tan, Teresa, 2018. "Who do you know, where? Social investments in faraway contacts," Research in Transportation Economics, Elsevier, vol. 68(C), pages 38-45.
    10. Hochmair, Hartwig H. & Bardin, Eric & Ahmouda, Ahmed, 2019. "Estimating bicycle trip volume for Miami-Dade county from Strava tracking data," Journal of Transport Geography, Elsevier, vol. 75(C), pages 58-69.
    11. Boeing, Geoff, 2017. "Methods and Measures for Analyzing Complex Street Networks and Urban Form," SocArXiv 93h82, Center for Open Science.
    12. Xiubin B. Wang & Xiaowei Cao & Kai Yin & Teresa M. Adams, 2017. "Modeling Vehicle Miles Traveled on Local Roads Using Classification Roadway Spatial Structure," Networks and Spatial Economics, Springer, vol. 17(3), pages 713-735, September.

    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. Pavithra Parthasarathi & David Levinson & Hartwig Hochmair, 2013. "Network Structure and Travel Time Perception," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-13, October.
    2. Boeing, Geoff, 2017. "Methods and Measures for Analyzing Complex Street Networks and Urban Form," SocArXiv 93h82, Center for Open Science.
    3. Parthasarathi, Pavithra & Levinson, David, 2018. "Network structure and the journey to work: An intra-metropolitan analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 292-304.
    4. Mengying Cui & David Levinson, 2015. "Accessibility and the Ring of Unreliability," Working Papers 000133, University of Minnesota: Nexus Research Group.
    5. Parthasarathi, Pavithra, 2014. "Network structure and metropolitan mobility," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 153-168.
    6. Mengying Cui & David Levinson, 2018. "Accessibility analysis of risk severity," Transportation, Springer, vol. 45(4), pages 1029-1050, July.
    7. Rui Ding & Norsidah Ujang & Hussain Bin Hamid & Mohd Shahrudin Abd Manan & Rong Li & Safwan Subhi Mousa Albadareen & Ashkan Nochian & Jianjun Wu, 2019. "Application of Complex Networks Theory in Urban Traffic Network Researches," Networks and Spatial Economics, Springer, vol. 19(4), pages 1281-1317, December.
    8. David Levinson, 2012. "Network Structure and City Size," PLOS ONE, Public Library of Science, vol. 7(1), pages 1-11, January.
    9. Boeing, Geoff, 2019. "The Morphology and Circuity of Walkable and Drivable Street Networks," SocArXiv edj2s, Center for Open Science.
    10. David Levinson & David Giacomin & Antony Badsey-Ellis, 2014. "Accessibility and the choice of network investments in the London Underground," Working Papers 000124, University of Minnesota: Nexus Research Group.
    11. Boeing, Geoff, 2017. "The Relative Circuity of Walkable and Drivable Urban Street Networks," SocArXiv 4rzqa, Center for Open Science.
    12. Boeing, Geoff, 2019. "Street Network Models and Measures for Every U.S. City, County, Urbanized Area, Census Tract, and Zillow-Defined Neighborhood," SocArXiv 7fxjz, Center for Open Science.
    13. Rui Ding & Jian Yin & Peng Dai & Lu Jiao & Rong Li & Tongfei Li & Jianjun Wu, 2019. "Optimal Topology of Multilayer Urban Traffic Networks," Complexity, Hindawi, vol. 2019, pages 1-19, October.
    14. Andrés Fielbaum & Sergio Jara-Diaz & Antonio Gschwender, 2017. "A Parametric Description of Cities for the Normative Analysis of Transport Systems," Networks and Spatial Economics, Springer, vol. 17(2), pages 343-365, June.
    15. Katrien Ramaekers & Sofie Reumers & Geert Wets & Mario Cools, 2013. "Modelling Route Choice Decisions of Car Travellers Using Combined GPS and Diary Data," Networks and Spatial Economics, Springer, vol. 13(3), pages 351-372, September.
    16. Jie Song & Zhong-Ren Peng & Liyuan Zhao & Chih-Hung Hsu, 2016. "Developing a theoretical framework for integrated vulnerability of businesses to sea level rise," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(2), pages 1219-1239, November.
    17. Geoff Boeing, 2020. "Planarity and street network representation in urban form analysis," Environment and Planning B, , vol. 47(5), pages 855-869, June.
    18. SOHN Christophe & CHRISTOPOULOS Dimitris & KOSKINEN Johan, 2013. "Geography and social networks. Modelling the effects of territorial borders on policy networks," LISER Working Paper Series 2013-19, Luxembourg Institute of Socio-Economic Research (LISER).
    19. Basnak, Paul & Giesen, Ricardo & Muñoz, Juan Carlos, 2020. "Technology choices in public transport planning: A classification framework," Research in Transportation Economics, Elsevier, vol. 83(C).
    20. Zhao, Pengxiang & Jia, Tao & Qin, Kun & Shan, Jie & Jiao, Chenjing, 2015. "Statistical analysis on the evolution of OpenStreetMap road networks in Beijing," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 420(C), pages 59-72.

    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:sae:urbstu:v:52:y:2015:i:6:p:1090-1112. 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: SAGE Publications (email available below). General contact details of provider: http://www.gla.ac.uk/departments/urbanstudiesjournal .

    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.