IDEAS home Printed from https://ideas.repec.org/a/taf/transr/v33y2013i2p166-194.html
   My bibliography  Save this article

Non-motorised Level of Service: Addressing Challenges in Pedestrian and Bicycle Level of Service

Author

Listed:
  • Zohreh Asadi-Shekari
  • Mehdi Moeinaddini
  • Muhammad Zaly Shah

Abstract

Motorised vehicle conditions have been evaluated by many researchers. In contrast, there are very limited studies on vulnerable and non-motorised users, such as cyclists and pedestrians, specifically children, the elderly and the disabled. Thus, this paper reviews prominent studies on street evaluations to identify effective indicators for non-motorised trips. The street condition for these trips is measured by the bicycle level of service (BLOS) and the pedestrian level of service (PLOS). In previous studies, different methods have been introduced for PLOS and BLOS. However, these methods have several major shortcomings. First, pedestrians and cyclists are assumed to be users who can share street facilities with motorised vehicles and thus are considered equivalent to cars. Second, the majority of these methods are complicated and time-consuming, and it is difficult to connect them to a design process. Furthermore, these methods support only a limited number of walking and cycling facilities; therefore, they may not be valid for a wide range of pedestrians and cyclists with a diverse variety of abilities and ages. This study discusses the challenges in the BLOS and PLOS research and attempts to introduce new objectives for further studies in this field to eliminate the aforementioned shortcomings.

Suggested Citation

  • Zohreh Asadi-Shekari & Mehdi Moeinaddini & Muhammad Zaly Shah, 2013. "Non-motorised Level of Service: Addressing Challenges in Pedestrian and Bicycle Level of Service," Transport Reviews, Taylor & Francis Journals, vol. 33(2), pages 166-194, March.
  • Handle: RePEc:taf:transr:v:33:y:2013:i:2:p:166-194
    DOI: 10.1080/01441647.2013.775613
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/01441647.2013.775613
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/01441647.2013.775613?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. Bento, Antonio M. & Cropper, Maureen L. & Mobarak, Ahmed Mushfiq & Vinha, Katja, 2003. "The impact of urban spatial structure on travel demand in the United States," Policy Research Working Paper Series 3007, The World Bank.
    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. Alvaro Rodriguez-Valencia & Jose Agustin Vallejo-Borda & German A. Barrero & Hernan Alberto Ortiz-Ramirez, 2022. "Towards an enriched framework of service evaluation for pedestrian and bicyclist infrastructure: acknowledging the power of users’ perceptions," Transportation, Springer, vol. 49(3), pages 791-814, June.
    2. Vallejo-Borda, Jose Agustin & Barchelot-Aceros, Laura Juliana & Barrero, German A. & Ortiz-Ramirez, Hernan Alberto & Pabón-Poches, Daysy Katherine & Silva-Fernández, Claudia Susana, 2023. "Addressing pedestrian perceived externalities influenced by motor vehicles: A perspective from curb space typologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    3. Hamid Motieyan & Farnaz Kaviari & Nikrouz Mostofi, 2022. "Quantifying walking capability: a novel aggregated index based on spatial perspective and analyses," Papers in Regional Science, Wiley Blackwell, vol. 101(2), pages 483-503, April.
    4. Ana Margarita Larranaga & Julián Arellana & Luis Ignacio Rizzi & Orlando Strambi & Helena Beatriz Bettella Cybis, 2019. "Using best–worst scaling to identify barriers to walkability: a study of Porto Alegre, Brazil," Transportation, Springer, vol. 46(6), pages 2347-2379, December.
    5. Sheila Ferrer & Tomás Ruiz, 2017. "Comparison on travel scheduling between driving and walking trips by habitual car users," Transportation, Springer, vol. 44(1), pages 27-48, January.
    6. Yu, Haitao & Peng, Zhong-Ren, 2019. "Exploring the spatial variation of ridesourcing demand and its relationship to built environment and socioeconomic factors with the geographically weighted Poisson regression," Journal of Transport Geography, Elsevier, vol. 75(C), pages 147-163.
    7. Zhu, Siying & Zhu, Feng, 2019. "Cycling comfort evaluation with instrumented probe bicycle," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 217-231.
    8. Maria Grazia Bellizzi & Carmen Forciniti & Gabriella Mazzulla, 2021. "A Stated Preference Survey for Evaluating Young Pedestrians’ Preferences on Walkways," Sustainability, MDPI, vol. 13(22), pages 1-12, November.
    9. Nagao, Koki & Yanagisawa, Daichi & Nishinari, Katsuhiro, 2018. "Estimation of crowd density applying wavelet transform and machine learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 145-163.
    10. Andreas Nikiforiadis & Socrates Basbas & Foteini Mikiki & Aikaterini Oikonomou & Efrosyni Polymeroudi, 2021. "Pedestrians-Cyclists Shared Spaces Level of Service: Comparison of Methodologies and Critical Discussion," Sustainability, MDPI, vol. 13(1), pages 1-19, January.
    11. Bram Boettge & Damon M. Hall & Thomas Crawford, 2017. "Assessing the Bicycle Network in St. Louis: A PlaceBased User-Centered Approach," Sustainability, MDPI, vol. 9(2), pages 1-18, February.
    12. Tufail Ahmed & Mehdi Moeinaddini & Meshal Almoshaogeh & Arshad Jamal & Imran Nawaz & Fawaz Alharbi, 2021. "A New Pedestrian Crossing Level of Service (PCLOS) Method for Promoting Safe Pedestrian Crossing in Urban Areas," IJERPH, MDPI, vol. 18(16), pages 1-18, August.
    13. Khashayar Kazemzadeh & Aliaksei Laureshyn & Lena Winslott Hiselius & Enrico Ronchi, 2020. "Expanding the Scope of the Bicycle Level-of-Service Concept: A Review of the Literature," Sustainability, MDPI, vol. 12(7), pages 1-30, April.
    14. Siying Zhu & Feng Zhu, 2020. "Multi-objective bike-way network design problem with space–time accessibility constraint," Transportation, Springer, vol. 47(5), pages 2479-2503, October.
    15. Liang, Xiao & Zhang, Tianyu & Xie, Meiquan & Jia, Xudong, 2021. "Analyzing bicycle level of service using virtual reality and deep learning technologies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 115-129.
    16. Dena Kasraian & Sneha Adhikari & David Kossowsky & Michael Luubert & G Brent Hall & Jason Hawkins & Khandker Nurul Habib & Matthew J Roorda, 2021. "Evaluating pedestrian perceptions of street design with a 3D stated preference survey," Environment and Planning B, , vol. 48(7), pages 1787-1805, 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. Salon, Deborah, 2015. "The Effect of Land Use Policies and Infrastructure Investments on How Much We Drive: A Practitioner’s Guide to the Literature," Institute of Transportation Studies, Working Paper Series qt54d4567m, Institute of Transportation Studies, UC Davis.
    2. Kim, Jinwon & Brownstone, David, 2010. "The impact of residential density on vehicle usage and fuel consumption," University of California Transportation Center, Working Papers qt31m0w2x3, University of California Transportation Center.
    3. Bento, Antonio M. & Franco, Sofia F. & Kaffine, Daniel, 2011. "Is there a double-dividend from anti-sprawl policies?," Journal of Environmental Economics and Management, Elsevier, vol. 61(2), pages 135-152, March.
    4. Silva, Mafalda C. & Horta, Isabel M. & Leal, Vítor & Oliveira, Vítor, 2017. "A spatially-explicit methodological framework based on neural networks to assess the effect of urban form on energy demand," Applied Energy, Elsevier, vol. 202(C), pages 386-398.
    5. Hankey, Steve & Marshall, Julian D., 2010. "Impacts of urban form on future US passenger-vehicle greenhouse gas emissions," Energy Policy, Elsevier, vol. 38(9), pages 4880-4887, September.
    6. Gillingham, Kenneth & Munk-Nielsen, Anders, 2019. "A tale of two tails: Commuting and the fuel price response in driving," Journal of Urban Economics, Elsevier, vol. 109(C), pages 27-40.
    7. Yang Song & Kevin R. Gurney, 2020. "The Relationship between On-Road FFCO 2 Emissions and Socio-Economic/Urban Form Factors for Global Cities: Significance, Robustness and Implications," Sustainability, MDPI, vol. 12(15), pages 1-24, July.
    8. Kim, Jinwon, 2016. "Vehicle fuel-efficiency choices, emission externalities, and urban sprawl," Economics of Transportation, Elsevier, vol. 5(C), pages 24-36.
    9. Houshmand E. MASOUMI, 2014. "Urban Sprawl In Mid-Sized Cities Of Mena, Evidence From Yazd And Kashan In Central Iran," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 6(2), pages 25-41, June.
    10. de Grange, Louis & Troncoso, Rodrigo & González, Felipe, 2012. "An empirical evaluation of the impact of three urban transportation policies on transit use," Transport Policy, Elsevier, vol. 22(C), pages 11-19.
    11. Nikodinoska, Dragana & Schröder, Carsten, 2016. "On the emissions–inequality and emissions–welfare trade-offs in energy taxation: Evidence on the German car fuels tax," Resource and Energy Economics, Elsevier, vol. 44(C), pages 206-233.
    12. Nelson, Peter & Baglino, Andrew & Harrington, Winston & Safirova, Elena & Lipman, Abram, 2007. "Transit in Washington, DC: Current benefits and optimal level of provision," Journal of Urban Economics, Elsevier, vol. 62(2), pages 231-251, September.
    13. Reid Ewing & Harry W. Richardson & Keith Bartholomew & Arthur C. Nelson & Chang-Hee Christine Bae, 2014. "Compactness vs. Sprawl Revisited: Converging Views," CESifo Working Paper Series 4571, CESifo.
    14. Peter Gordon & Bumsoo Lee, 2003. "Settlement Patterns in the U.S. Canada:Simliarities and Differences - Policies or Preferences?," Working Paper 8605, USC Lusk Center for Real Estate.
    15. Fang, Hao Audrey, 2008. "A discrete-continuous model of households' vehicle choice and usage, with an application to the effects of residential density," Transportation Research Part B: Methodological, Elsevier, vol. 42(9), pages 736-758, November.
    16. Zahabi, Seyed Amir H. & Miranda-Moreno, Luis & Patterson, Zachary & Barla, Philippe, 2015. "Spatio-temporal analysis of car distance, greenhouse gases and the effect of built environment: A latent class regression analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 1-13.
    17. Naveen Eluru & Chandra Bhat & Ram Pendyala & Karthik Konduri, 2010. "A joint flexible econometric model system of household residential location and vehicle fleet composition/usage choices," Transportation, Springer, vol. 37(4), pages 603-626, July.
    18. Clark, Thomas A., 2013. "Metropolitan density, energy efficiency and carbon emissions: Multi-attribute tradeoffs and their policy implications," Energy Policy, Elsevier, vol. 53(C), pages 413-428.
    19. repec:zbw:rwidps:0048 is not listed on IDEAS
    20. 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.
    21. Sabreena Anowar & Shamsunnahar Yasmin & Naveen Eluru & Luis Miranda-Moreno, 2014. "Analyzing car ownership in Quebec City: a comparison of traditional and latent class ordered and unordered models," Transportation, Springer, vol. 41(5), pages 1013-1039, September.

    More about this item

    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:taf:transr:v:33:y:2013:i:2:p:166-194. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/TTRV20 .

    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.