IDEAS home Printed from https://ideas.repec.org/a/eee/transa/v101y2017icp203-217.html
   My bibliography  Save this article

Estimating level of service of mid-block bicycle lanes considering mixed traffic flow

Author

Listed:
  • Bai, Lu
  • Liu, Pan
  • Chan, Ching-Yao
  • Li, Zhibin

Abstract

The primary objective of the study was to identify the factors that influenced the comfort perception of e-bike, e-scooter and bicycle riders in mid-block bicycle lanes on urban streets and to estimate the bicycle level of service (BLOS) of a mid-block bicycle lane with mixed two-wheeled traffic. Data were collected at thirty locations on thirty different streets in Nanjing area in China. Pearson’s Chi-square tests were conducted to make comparisons of the comfort perception among different cyclist groups. The factors that significantly affected the comfort perception of the cyclists included the age of the cyclists, the type of two-wheeled vehicles, the volume of two-wheeled vehicles, the width of mid-block bicycle lanes, the proportions of e-bikes and e-scooters in two-wheeled vehicles, the physical separation between motorized, bicycle and pedestrian lanes, the slope of bicycle lanes, the roadside access points and the roadside land use. Ordered probit models were developed to quantitatively evaluate the impacts of different contributing factors on the comfort perception of the riders of e-bikes, e-scooters and bicycles. The results showed that compared to the riders of bicycles, the riders of e-bikes and e-scooters were more likely to perceive a poor comfort level. The comfort perception of the cyclists increased with an increase in the width of the mid-block bicycle lane, whereas it decreased with an increase in the volume of two-wheeled vehicles. The proportions of e-bikes and e-scooters in two-wheeled vehicles negatively affected the comfort perception of the cyclists. In addition, the presence of physical separation between the motorized, bicycle and pedestrian lanes significantly increased the comfort perception of the cyclists. With the comfort perception models, a procedure was developed and insights were gained to help transportation professionals estimate the BLOS of a mid-block bicycle lane with mixed two-wheeled traffic.

Suggested Citation

  • Bai, Lu & Liu, Pan & Chan, Ching-Yao & Li, Zhibin, 2017. "Estimating level of service of mid-block bicycle lanes considering mixed traffic flow," Transportation Research Part A: Policy and Practice, Elsevier, vol. 101(C), pages 203-217.
    • Handle: RePEc:eee:transa:v:101:y:2017:i:c:p:203-217
    DOI: 10.1016/j.tra.2017.04.031
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0965856416300374
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.tra.2017.04.031?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. Cherry, Christopher, 2007. "Electric Bike Use in China and Their Impacts on the Environment, Safety, Mobility and Accessibility," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8bn7v9jm, Institute of Transportation Studies, UC Berkeley.
    2. Cherry, Christopher & Cervero, Robert, 2007. "Use characteristics and mode choice behavior of electric bike users in China," Transport Policy, Elsevier, vol. 14(3), pages 247-257, May.
    3. Jin, Sheng & Qu, Xiaobo & Zhou, Dan & Xu, Cheng & Ma, Dongfang & Wang, Dianhai, 2015. "Estimating cycleway capacity and bicycle equivalent unit for electric bicycles," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 225-248.
    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. Liu, Qiang & Homma, Riken & Iki, Kazuhisa, 2020. "Evaluating cyclists’ perception of satisfaction using 360° videos," Transportation Research Part A: Policy and Practice, Elsevier, vol. 132(C), pages 205-213.
    2. Arellana, Julián & Saltarín, María & Larrañaga, Ana Margarita & González, Virginia I. & Henao, César Augusto, 2020. "Developing an urban bikeability index for different types of cyclists as a tool to prioritise bicycle infrastructure investments," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 310-334.
    3. Zhao, Jing & Yan, Jiachao & Wang, Jiawen, 2019. "Analysis of alternative treatments for left turn bicycles at tandem intersections," Transportation Research Part A: Policy and Practice, Elsevier, vol. 126(C), pages 314-328.
    4. Cheng, Zeyang & Wang, Wei & Lu, Jian & Xing, Xue, 2020. "Classifying the traffic state of urban expressways: A machine-learning approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 411-428.
    5. 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.
    6. Xinhua Mao & Changwei Yuan & Jiahua Gan & Shiqing Zhang, 2019. "Risk Factors Affecting Traffic Accidents at Urban Weaving Sections: Evidence from China," IJERPH, MDPI, vol. 16(9), pages 1-17, May.
    7. Changxi Ma & Jibiao Zhou & Dong Yang & Yuanyuan Fan, 2020. "Research on the Relationship between the Individual Characteristics of Electric Bike Riders and Illegal Speeding Behavior: A Questionnaire-Based Study," Sustainability, MDPI, vol. 12(3), pages 1-12, January.
    8. Theodora Sorkou & Panagiotis G. Tzouras & Katerina Koliou & Lambros Mitropoulos & Christos Karolemeas & Konstantinos Kepaptsoglou, 2022. "An Approach to Model the Willingness to Use of E-Scooter Sharing Services in Different Urban Road Environments," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
    9. Li, Xintong & Han, Chunyang & Huang, Helai & Pervez, Amjad & Xu, Guangming & Hu, Cheng & Jiang, Qianshan & Wei, Yulu, 2023. "Pursuing higher acceptability and compliance for electric two-wheeler standardization policy in China: The importance of socio-demographic characteristics, psychological factors, and travel habits," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
    10. Alejandra Sofía Fonseca-Cabrera & David Llopis-Castelló & Ana María Pérez-Zuriaga & Carlos Alonso-Troyano & Alfredo García, 2021. "Micromobility Users’ Behaviour and Perceived Risk during Meeting Manoeuvres," IJERPH, MDPI, vol. 18(23), pages 1-14, November.
    11. Ehsan Nateghinia & David Beitel & Asad Lesani & Luis F. Miranda-Moreno, 2024. "A LiDAR-based methodology for monitoring and collecting microscopic bicycle flow parameters on bicycle facilities," Transportation, Springer, vol. 51(1), pages 129-153, February.
    12. 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.
    13. 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.
    14. Panagiotis G. Tzouras & Lambros Mitropoulos & Katerina Koliou & Eirini Stavropoulou & Christos Karolemeas & Eleni Antoniou & Antonis Karaloulis & Konstantinos Mitropoulos & Eleni I. Vlahogianni & Kons, 2023. "Describing Micro-Mobility First/Last-Mile Routing Behavior in Urban Road Networks through a Novel Modeling Approach," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    15. 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.
    16. Agarwal, Amit & Ziemke, Dominik & Nagel, Kai, 2020. "Bicycle superhighway: An environmentally sustainable policy for urban transport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 519-540.
    17. Umer Mansoor & Mohammad Tamim Kashifi & Fazal Rehman Safi & Syed Masiur Rahman, 2022. "A review of factors and benefits of non-motorized transport: a way forward for developing countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1560-1582, February.
    18. 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.
    19. Xiangyang Cao & Bingzhong Zhou & Qiang Tang & Jiaqi Li & Donghui Shi, 2018. "Urban Wasteful Transport and Its Estimation Methods," Sustainability, MDPI, vol. 10(12), pages 1-15, December.
    20. Huang, Di & Chen, Xinyuan & Liu, Zhiyuan & Lyu, Cheng & Wang, Shuaian & Chen, Xuewu, 2020. "A static bike repositioning model in a hub-and-spoke network framework," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    21. Fan, Zhang & Yanjie, Ji & Huitao, Lv & Yuqian, Zhang & Blythe, Phil & Jialiang, Fan, 2022. "Travel satisfaction of delivery electric two-wheeler riders: Evidence from Nanjing, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 162(C), pages 253-266.
    22. Ospina, Juan P. & Duque, Juan C. & Botero-Fernández, Verónica & Montoya, Alejandro, 2022. "The maximal covering bicycle network design problem," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 222-236.

    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. Alexander Bigazzi & Robin Lindsey, 2019. "A utility-based bicycle speed choice model with time and energy factors," Transportation, Springer, vol. 46(3), pages 995-1009, June.
    2. Nematchoua, ModesteKameni & Deuse, Caroline & Cools, Mario & Reiter, Sigrid, 2020. "Evaluation of the potential of classic and electric bicycle commuting as an impetus for the transition towards environmentally sustainable cities: A case study of the university campuses in Liege, Bel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 119(C).
    3. 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.
    4. Zhiwei Chen & Yucong Hu & Jutint Li & Xing Wu, 2020. "Optimal Deployment of Electric Bicycle Sharing Stations: Model Formulation and Solution Technique," Networks and Spatial Economics, Springer, vol. 20(1), pages 99-136, March.
    5. Xingchen Yan & Tao Wang & Xiaofei Ye & Jun Chen & Zhen Yang & Hua Bai, 2018. "Recommended Widths for Separated Bicycle Lanes Considering Abreast Riding and Overtaking," Sustainability, MDPI, vol. 10(9), pages 1-16, September.
    6. Ziwen Ling & Christopher R. Cherry & John H. MacArthur & Jonathan X. Weinert, 2017. "Differences of Cycling Experiences and Perceptions between E-Bike and Bicycle Users in the United States," Sustainability, MDPI, vol. 9(9), pages 1-18, September.
    7. 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.
    8. Ton, Danique & Duives, Dorine, 2021. "Understanding long-term changes in commuter mode use of a pilot featuring free e-bike trials," Transport Policy, Elsevier, vol. 105(C), pages 134-144.
    9. Tomasz Bieliński & Łukasz Dopierała & Maciej Tarkowski & Agnieszka Ważna, 2020. "Lessons from Implementing a Metropolitan Electric Bike Sharing System," Energies, MDPI, vol. 13(23), pages 1-21, November.
    10. Li, Qiaoru & Zhang, Zhe & Li, Kun & Chen, Liang & Wei, Zhenlin & Zhang, Jingchun, 2020. "Evolutionary dynamics of traveling behavior in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    11. Thomas, Alainna, 2016. "A More Sustainable Minivan? An Exploratory Study of Electric Bicycle Use by San Francisco Bay Area Families," Institute of Transportation Studies, Working Paper Series qt6g79m3xx, Institute of Transportation Studies, UC Davis.
    12. Ji, Shujuan & Liu, Xiaojie & Wang, Yuanqing, 2024. "The role of road infrastructures in the usage of bikeshare and private bicycle," Transport Policy, Elsevier, vol. 149(C), pages 234-246.
    13. Zhibin Li & Wei Wang & Chen Yang & Haoyang Ding, 2017. "Bicycle mode share in China: a city-level analysis of long term trends," Transportation, Springer, vol. 44(4), pages 773-788, July.
    14. Ruqin Yang & Yaolin Liu & Yanfang Liu & Hui Liu & Wenxia Gan, 2019. "Comprehensive Public Transport Service Accessibility Index—A New Approach Based on Degree Centrality and Gravity Model," Sustainability, MDPI, vol. 11(20), pages 1-20, October.
    15. Li, Hongwei & Zhong, Xin & Zhang, Wenbo & Li, Sulan & Xing, Yingying, 2020. "An algorithm for e-bike equivalents at signalized intersections based on traffic conflict events number," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 78-95.
    16. Changxi Ma & Dong Yang & Jibiao Zhou & Zhongxiang Feng & Quan Yuan, 2019. "Risk Riding Behaviors of Urban E-Bikes: A Literature Review," IJERPH, MDPI, vol. 16(13), pages 1-18, June.
    17. Hector R. Lim & Ma. Bernadeth B. Lim & Mongkut Piantanakulchai, 2016. "Determinants of household flood evacuation mode choice in a developing country," 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(1), pages 507-532, October.
    18. Xingchen Yan & Tao Wang & Jun Chen & Xiaofei Ye & Zhen Yang & Hua Bai, 2019. "Analysis of the Characteristics and Number of Bicycle–Passenger Conflicts at Bus Stops for Improving Safety," Sustainability, MDPI, vol. 11(19), pages 1-14, September.
    19. Sun, Shan & Guo, Liang & Yang, Shuo & Cao, Jason, 2024. "Exploring the contributions of Ebike ownership, transit access, and the built environment to car ownership in a developing city," Journal of Transport Geography, Elsevier, vol. 116(C).
    20. Nakamura, Hiroki & Abe, Naoya, 2016. "Tourist decisions in renting various personal travel modes: A case study in Kitakyushu City, Japan," Tourism Management, Elsevier, vol. 55(C), pages 85-93.

    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:transa:v:101:y:2017:i:c:p:203-217. 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/547/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.