IDEAS home Printed from https://ideas.repec.org/a/eee/trapol/v35y2014icp21-30.html
   My bibliography  Save this article

Transit-oriented smart growth can reduce life-cycle environmental impacts and household costs in Los Angeles

Author

Listed:
  • Nahlik, Matthew J.
  • Chester, Mikhail V.

Abstract

The environmental and economic assessment of neighborhood-scale transit-oriented urban form changes should include initial construction impacts through long-term use to fully understand the benefits and costs of smart growth policies. The long-term impacts of moving people closer to transit require the coupling of behavioral forecasting with environmental assessment. Using new light rail and bus rapid transit in Los Angeles, California as a case study, a life-cycle environmental and economic assessment is developed to assess the potential range of impacts resulting from mixed-use infill development. An integrated transportation and land use life-cycle assessment framework is developed to estimate energy consumption, air emissions, and economic (public, developer, and user) costs. Residential and commercial buildings, automobile travel, and transit operation changes are included and a 60-year forecast is developed that compares transit-oriented growth against growth in areas without close access to high-capacity transit service. The results show that commercial developments create the greatest potential for impact reductions followed by residential commute shifts to transit, both of which may be effected by access to high-capacity transit, reduced parking requirements, and developer incentives. Greenhouse gas emission reductions up to 470Gg CO2-equivalents per year can be achieved with potential costs savings for TOD users. The potential for respiratory impacts (PM10-equivalents) and smog formation can be reduced by 28–35%. The shift from business-as-usual growth to transit-oriented development can decrease user costs by $3100 per household per year over the building lifetime, despite higher rental costs within the mixed-use development.

Suggested Citation

  • Nahlik, Matthew J. & Chester, Mikhail V., 2014. "Transit-oriented smart growth can reduce life-cycle environmental impacts and household costs in Los Angeles," Transport Policy, Elsevier, vol. 35(C), pages 21-30.
  • Handle: RePEc:eee:trapol:v:35:y:2014:i:c:p:21-30
    DOI: 10.1016/j.tranpol.2014.05.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0967070X14001036
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.tranpol.2014.05.004?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 search for a different version of it.

    References listed on IDEAS

    as
    1. Mokhtarian, Patricia L & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," University of California Transportation Center, Working Papers qt8bz3z5qm, University of California Transportation Center.
    2. Mokhtarian, Patricia L. & Cao, Xinyu, 2008. "Examining the impacts of residential self-selection on travel behavior: A focus on methodologies," Transportation Research Part B: Methodological, Elsevier, vol. 42(3), pages 204-228, March.
    3. Jane C. Bare, 2002. "Traci: The Tool for the Reduction and Assessment of Chemical and Other Environmental Impacts," Journal of Industrial Ecology, Yale University, vol. 6(3‐4), pages 49-78, July.
    4. Cervero, Robert, 2006. "Public Transport and Sustainable Urbanism: Global Lesson," University of California Transportation Center, Working Papers qt4fp6x44f, University of California Transportation Center.
    5. Cao, Xinyu & Mokhtarian, Patricia & Handy, Susan, 2008. "Examining The Impacts of Residential Self-Selection on Travel Behavior: Methodologies and Empirical Findings," Institute of Transportation Studies, Working Paper Series qt08x1k476, Institute of Transportation Studies, UC Davis.
    6. Daniel G. Chatman, 2013. "Does TOD Need the T?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 79(1), pages 17-31, January.
    7. Marcial Echenique & Anthony Hargreaves & Gordon Mitchell & Anil Namdeo, 2012. "Growing Cities Sustainably," Journal of the American Planning Association, Taylor & Francis Journals, vol. 78(2), pages 121-137.
    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. Doina Olaru & Simon Moncrieff & Gary McCarney & Yuchao Sun & Tristan Reed & Cate Pattison & Brett Smith & Sharon Biermann, 2019. "Place vs. Node Transit: Planning Policies Revisited," Sustainability, MDPI, vol. 11(2), pages 1-14, January.
    2. Anderson, John E. & Wulfhorst, Gebhard & Lang, Werner, 2015. "Energy analysis of the built environment—A review and outlook," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 149-158.
    3. Guowei Lyu & Luca Bertolini & Karin Pfeffer, 2020. "Is Labour Productivity Higher in Transit Oriented Development Areas? A Study of Beijing," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 111(4), pages 652-670, September.
    4. Keskisaari, Ville & Ottelin, Juudit & Heinonen, Jukka, 2017. "Greenhouse gas impacts of different modality style classes using latent class travel behavior model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 155-164.

    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. Watanabe, Hajime & Maruyama, Takuya, 2024. "A Bayesian sample selection model with a binary outcome for handling residential self-selection in individual car ownership," Journal of choice modelling, Elsevier, vol. 51(C).
    2. Ibraeva, Anna & Correia, Gonçalo Homem de Almeida & Silva, Cecília & Antunes, António Pais, 2020. "Transit-oriented development: A review of research achievements and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 110-130.
    3. Duncan, Michael, 2019. "Would the replacement of park-and-ride facilities with transit-oriented development reduce vehicle kilometers traveled in an auto-oriented US region?," Transport Policy, Elsevier, vol. 81(C), pages 293-301.
    4. Jason Cao & Xiaoshu Cao, 2014. "The Impacts of LRT, Neighbourhood Characteristics, and Self-selection on Auto Ownership: Evidence from Minneapolis-St. Paul," Urban Studies, Urban Studies Journal Limited, vol. 51(10), pages 2068-2087, August.
    5. Cao, Xinyu Jason, 2019. "Examining the effect of the Hiawatha LRT on auto use in the Twin Cities," Transport Policy, Elsevier, vol. 81(C), pages 284-292.
    6. Arefeh Nasri & Carlos Carrion & Lei Zhang & Babak Baghaei, 2020. "Using propensity score matching technique to address self-selection in transit-oriented development (TOD) areas," Transportation, Springer, vol. 47(1), pages 359-371, February.
    7. Huang, Xiaoyan & (Jason) Cao, Xinyu & Yin, Jiangbin & Cao, Xiaoshu, 2019. "Can metro transit reduce driving? Evidence from Xi'an, China," Transport Policy, Elsevier, vol. 81(C), pages 350-359.
    8. Li, Peilin & Zhao, Pengjun & Schwanen, Tim, 2020. "Effect of land use on shopping trips in station areas: Examining sensitivity to scale," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 969-985.
    9. Kamruzzaman, Md. & Baker, Douglas & Washington, Simon & Turrell, Gavin, 2013. "Residential dissonance and mode choice," Journal of Transport Geography, Elsevier, vol. 33(C), pages 12-28.
    10. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    11. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    12. Singh, Abhilash C. & Faghih Imani, Ahmadreza & Sivakumar, Aruna & Luna Xi, Yang & Miller, Eric J., 2024. "A joint analysis of accessibility and household trip frequencies by travel mode," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    13. Lin, Tao & Wang, Donggen & Zhou, Meng, 2018. "Residential relocation and changes in travel behavior: what is the role of social context change?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 111(C), pages 360-374.
    14. Eric Morris & Erick Guerra, 2015. "Mood and mode: does how we travel affect how we feel?," Transportation, Springer, vol. 42(1), pages 25-43, January.
    15. Bhat, Chandra R. & Astroza, Sebastian & Sidharthan, Raghuprasad & Alam, Mohammad Jobair Bin & Khushefati, Waleed H., 2014. "A joint count-continuous model of travel behavior with selection based on a multinomial probit residential density choice model," Transportation Research Part B: Methodological, Elsevier, vol. 68(C), pages 31-51.
    16. Qing Su, 2017. "Travel Demand Management Policy Instruments, Urban Spatial Characteristics, and Household Greenhouse Gas Emissions from Travel in the US Urban Areas," International Journal of Energy Economics and Policy, Econjournals, vol. 7(3), pages 157-166.
    17. Bert Van Wee & David Banister, 2016. "How to Write a Literature Review Paper?," Transport Reviews, Taylor & Francis Journals, vol. 36(2), pages 278-288, March.
    18. Keskisaari, Ville & Ottelin, Juudit & Heinonen, Jukka, 2017. "Greenhouse gas impacts of different modality style classes using latent class travel behavior model," Journal of Transport Geography, Elsevier, vol. 65(C), pages 155-164.
    19. van de Coevering, Paul & Maat, Kees & van Wee, Bert, 2018. "Residential self-selection, reverse causality and residential dissonance. A latent class transition model of interactions between the built environment, travel attitudes and travel behavior," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 466-479.
    20. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Comparisons of observed and unobserved parameter heterogeneity in modeling vehicle-miles driven," Transportation Research Part A: Policy and Practice, Elsevier, vol. 172(C).

    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:trapol:v:35:y:2014:i:c:p:21-30. 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/wps/find/journaldescription.cws_home/30473/description#description .

    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.