IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v13y2024i6p885-d1417592.html
   My bibliography  Save this article

Spatial Quality Measurement and Characterization of Daily High-Frequency Pedestrian Streets in Xi’an City

Author

Listed:
  • Linggui Liu

    (School of Humanities and Social Science, Xi’an Jiaotong University, Xi’an 710049, China)

  • Yuheng Tu

    (School of Humanities and Social Science, Xi’an Jiaotong University, Xi’an 710049, China)

  • Maoran Sun

    (Department of Architecture, University of Cambridge, Cambridge CB2 1PX, UK)

  • Han Lyu

    (School of Humanities and Social Science, Xi’an Jiaotong University, Xi’an 710049, China)

  • Peijie Wang

    (Faculty of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an 710049, China)

  • Jing He

    (School of Humanities and Social Science, Xi’an Jiaotong University, Xi’an 710049, China)

Abstract

Street space plays a crucial role in human activity and social life, forming an essential component of a livable and sustainable built environment. Consequently, its quality has garnered significant attention from researchers, designers, and policymakers who aim to achieve precise assessments of street infrastructure and conditions. This study presents a multi-dimensional framework for evaluating street space, considering factors such as access frequency, environmental quality, and amenity richness. By utilizing city-level path planning data, street view imagery, point of interest data, and social media check-in data, this framework assesses each street and assigns scores across these dimensions. These scores facilitate a human-centered analysis of the disparities in street usage and quality. The aggregation of results by administrative regions supports effective policy formulation and implementation. Application of this framework in Xi’an, China, reveals that only 6.95% of frequently visited streets exhibit high environmental quality and functional richness. This study underscores the potential of leveraging public data for detailed street space assessments to inform urban renewal policies.

Suggested Citation

  • Linggui Liu & Yuheng Tu & Maoran Sun & Han Lyu & Peijie Wang & Jing He, 2024. "Spatial Quality Measurement and Characterization of Daily High-Frequency Pedestrian Streets in Xi’an City," Land, MDPI, vol. 13(6), pages 1-25, June.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:6:p:885-:d:1417592
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/13/6/885/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/13/6/885/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahmed El-Geneidy & Michael Grimsrud & Rania Wasfi & Paul Tétreault & Julien Surprenant-Legault, 2014. "New evidence on walking distances to transit stops: identifying redundancies and gaps using variable service areas," Transportation, Springer, vol. 41(1), pages 193-210, January.
    2. Lingzhu Zhang & Yu Ye & Wenxin Zeng & Alain Chiaradia, 2019. "A Systematic Measurement of Street Quality through Multi-Sourced Urban Data: A Human-Oriented Analysis," IJERPH, MDPI, vol. 16(10), pages 1-24, May.
    Full references (including those not matched with items on IDEAS)

    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. Boisjoly, Geneviève & Serra, Bernardo & Oliveira, Gabriel T. & El-Geneidy, Ahmed, 2020. "Accessibility measurements in São Paulo, Rio de Janeiro, Curitiba and Recife, Brazil," Journal of Transport Geography, Elsevier, vol. 82(C).
    2. Chandra, Shailesh & Jimenez, Jose & Radhakrishnan, Ramalingam, 2017. "Accessibility evaluations for nighttime walking and bicycling for low-income shift workers," Journal of Transport Geography, Elsevier, vol. 64(C), pages 97-108.
    3. Rodrigue, Lancelot & Manaugh, Kevin & El-Geneidy, Ahmed, 2025. "Towards a better understanding of changes in cost per riders for bus routes before and after the COVID-19 pandemic in Montréal, Canada," Journal of Transport Geography, Elsevier, vol. 123(C).
    4. Vale, David S. & Viana, Cláudia M. & Pereira, Mauro, 2018. "The extended node-place model at the local scale: Evaluating the integration of land use and transport for Lisbon's subway network," Journal of Transport Geography, Elsevier, vol. 69(C), pages 282-293.
    5. Jean-Philippe Meloche & Vincent Trotignon & François Vaillancourt, 2021. "Densification ou prolongement des réseaux de transport structurants ? Une recension des écrits sur les coûts et les bénéfices attendus," CIRANO Project Reports 2020rp-28, CIRANO.
    6. Azad, Mojdeh & Abdelqader, Dua & Taboada, Luis M. & Cherry, Christopher R., 2021. "Walk-to-transit demand estimation methods applied at the parcel level to improve pedestrian infrastructure investment," Journal of Transport Geography, Elsevier, vol. 92(C).
    7. Wu, Wenjie & Cao, Mengqiu & Wang, Fenglong & Wang, Ruoyu, 2024. "Nonlinear influences of landscape configurations and walking access to transit services on travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 189(C).
    8. Yang, Jiawen & Su, Pinren & Cao, Jason, 2020. "On the importance of Shenzhen metro transit to land development and threshold effect," Transport Policy, Elsevier, vol. 99(C), pages 1-11.
    9. Ouassim Manout & Patrick Bonnel & François Pacull, 2020. "The impact of centroid connectors on transit assignment outcomes," Public Transport, Springer, vol. 12(3), pages 611-629, October.
    10. Bullrich, Ignacio Tomás, 2021. "Estudio de viabilidad acerca de la instalación de un sistema de bikesharing en la ciudad de Mar del Plata," Nülan. Deposited Documents 3554, Universidad Nacional de Mar del Plata, Facultad de Ciencias Económicas y Sociales, Centro de Documentación.
    11. Verbich, David & El-Geneidy, Ahmed, 2017. "Public transit fare structure and social vulnerability in Montreal, Canada," Transportation Research Part A: Policy and Practice, Elsevier, vol. 96(C), pages 43-53.
    12. Junyue Yang & Xiaomei Li & Jia Du & Canhui Cheng, 2023. "Exploring the Relationship between Urban Street Spatial Patterns and Street Vitality: A Case Study of Guiyang, China," IJERPH, MDPI, vol. 20(2), pages 1-15, January.
    13. Xiang Li & Qipeng Yan & Yafeng Ma & Chen Luo, 2023. "Spatially Varying Impacts of Built Environment on Transfer Ridership of Metro and Bus Systems," Sustainability, MDPI, vol. 15(10), pages 1-24, May.
    14. Mingzhu Song & Yi Zhang & Meng Li & Yi Zhang, 2021. "Accessibility of Transit Stops with Multiple Feeder Modes: Walking and Private-Bike Cycling," Sustainability, MDPI, vol. 13(6), pages 1-27, March.
    15. Manout, Ouassim & Bonnel, Patrick & Bouzouina, Louafi, 2018. "Transit accessibility: A new definition of transit connectors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 88-100.
    16. Tarun Mittal & Charan Singh, 2015. "Smart Urban Mobility: Road Less Travelled," Working Papers id:6944, eSocialSciences.
    17. Ustaoglu, E. & Aydınoglu, A.C., 2020. "Suitability evaluation of urban construction land in Pendik district of Istanbul, Turkey," Land Use Policy, Elsevier, vol. 99(C).
    18. Zhang, Yuerong & Marshall, Stephen & Manley, Ed, 2019. "Network criticality and the node-place-design model: Classifying metro station areas in Greater London," Journal of Transport Geography, Elsevier, vol. 79(C), pages 1-1.
    19. Pueboobpaphan, Rattaphol & Pueboobpaphan, Suthatip & Sukhotra, Suthasinee, 2022. "Acceptable walking distance to transit stations in Bangkok, Thailand: Application of a stated preference technique," Journal of Transport Geography, Elsevier, vol. 99(C).
    20. Martin Scoppa & Rim Anabtawi, 2021. "Connectivity in Superblock Street Networks: Measuring Distance, Directness, and the Diversity of Pedestrian Paths," Sustainability, MDPI, vol. 13(24), pages 1-18, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    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:gam:jlands:v:13:y:2024:i:6:p:885-:d:1417592. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.