IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v9y2017i3p434-d93183.html
   My bibliography  Save this article

A Model for Assessing Pedestrian Corridors. Application to Vitoria-Gasteiz City (Spain)

Author

Listed:
  • Javier Delso

    (Transport Research Centre (TRANSyT-UPM), Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Belén Martín

    (Transport Research Centre (TRANSyT-UPM), Universidad Politécnica de Madrid, 28040 Madrid, Spain
    Department of Forest and Environmental Engineering and Management, MONTES (School of Forest Engineering and Natural Environment), Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Emilio Ortega

    (Transport Research Centre (TRANSyT-UPM), Universidad Politécnica de Madrid, 28040 Madrid, Spain
    Department of Forest and Environmental Engineering and Management, MONTES (School of Forest Engineering and Natural Environment), Universidad Politécnica de Madrid, 28040 Madrid, Spain)

  • Isabel Otero

    (Transport Research Centre (TRANSyT-UPM), Universidad Politécnica de Madrid, 28040 Madrid, Spain
    Department of Forest and Environmental Engineering and Management, MONTES (School of Forest Engineering and Natural Environment), Universidad Politécnica de Madrid, 28040 Madrid, Spain)

Abstract

From a mobility perspective, walking is considered to be the most sustainable transport mode. One of the consequences of motor-oriented urban configuration on pedestrian mobility is urban fragmentation, which affects sustainability in cities. In this paper, we use a natural-based approach to landscape fragmentation and connectivity (inherited from landscape ecology) for pedestrian mobility planning. Our aim is to design a useful methodology to identify priority pedestrian corridors, and to assess the effects of implementing barrier-free pedestrian corridors in the city. For this purpose, we developed a method that integrates Geographical Information Systems (GIS) network analysis with kernel density methods, which are commonly used for designating habitat corridors. It was applied to Vitoria-Gasteiz (Spain). Pedestrian mobility was assessed by comparison of travel times between different scenarios. Results show that the implementation of pedestrian corridors reduces travel time by approximately 6%. Thus, an intervention in a small percentage of the city’s street network could considerably reduce pedestrian travel times. The proposed methodology is a useful tool for urban and transport planners to improve pedestrian mobility and manage motorised traffic.

Suggested Citation

  • Javier Delso & Belén Martín & Emilio Ortega & Isabel Otero, 2017. "A Model for Assessing Pedestrian Corridors. Application to Vitoria-Gasteiz City (Spain)," Sustainability, MDPI, vol. 9(3), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:3:p:434-:d:93183
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/9/3/434/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/9/3/434/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Soria-Lara, Julio A. & Aguilera-Benavente, Francisco & Arranz-López, Aldo, 2016. "Integrating land use and transport practice through spatial metrics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 91(C), pages 330-345.
    2. Chia-Yuan Yu, 2015. "Built Environmental Designs in Promoting Pedestrian Safety," Sustainability, MDPI, vol. 7(7), pages 1-17, July.
    3. John Peponis & Sonit Bafna & Zongyu Zhang, 2008. "The Connectivity of Streets: Reach and Directional Distance," Environment and Planning B, , vol. 35(5), pages 881-901, October.
    4. Hyungkyoo Kim & Elizabeth Macdonald, 2016. "Does Wind Discourage Sustainable Transportation Mode Choice? Findings from San Francisco, California, USA," Sustainability, MDPI, vol. 8(3), pages 1-15, March.
    5. B Hillier & A Penn & J Hanson & T Grajewski & J Xu, 1993. "Natural Movement: Or, Configuration and Attraction in Urban Pedestrian Movement," Environment and Planning B, , vol. 20(1), pages 29-66, February.
    6. Kenneth Joh & Sandip Chakrabarti & Marlon G. Boarnet & Ayoung Woo, 2015. "The Walking Renaissance: A Longitudinal Analysis of Walking Travel in the Greater Los Angeles Area, USA," Sustainability, MDPI, vol. 7(7), pages 1-27, July.
    7. Drielsma, Michael & Manion, Glenn & Ferrier, Simon, 2007. "The spatial links tool: Automated mapping of habitat linkages in variegated landscapes," Ecological Modelling, Elsevier, vol. 200(3), pages 403-411.
    8. Wood, Lisa & Frank, Lawrence D. & Giles-Corti, Billie, 2010. "Sense of community and its relationship with walking and neighborhood design," Social Science & Medicine, Elsevier, vol. 70(9), pages 1381-1390, May.
    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. Delso, Javier & Martín, Belén & Ortega, Emilio, 2018. "A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz," Journal of Transport Geography, Elsevier, vol. 67(C), pages 61-72.
    2. Poklewski-Koziełł, Damian & Dudzic-Gyurkovich, Karolina & Duarte, Carlos Marmolejo, 2023. "Investigating urban form, and walkability measures in the new developments. The case study of Garnizon in Gdansk," Land Use Policy, Elsevier, vol. 125(C).
    3. Guido Marseglia & Carlo Maria Medaglia & Francisco A. Ortega & Juan A. Mesa, 2019. "Optimal Alignments for Designing Urban Transport Systems: Application to Seville," Sustainability, MDPI, vol. 11(18), pages 1-14, September.
    4. Thomas Panagopoulos & Stilianos Tampakis & Paraskevi Karanikola & Aikaterini Karipidou-Kanari & Apostolos Kantartzis, 2018. "The Usage and Perception of Pedestrian and Cycling Streets on Residents’ Well-being in Kalamaria, Greece," Land, MDPI, vol. 7(3), pages 1-17, August.

    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. Delso, Javier & Martín, Belén & Ortega, Emilio, 2018. "A new procedure using network analysis and kernel density estimations to evaluate the effect of urban configurations on pedestrian mobility. The case study of Vitoria –Gasteiz," Journal of Transport Geography, Elsevier, vol. 67(C), pages 61-72.
    2. Rafael Henrique Moraes Pereira & Frederico Rosa Borges de Holanda & Valério Augusto Soares de Medeiros & Ana Paula Borba Gonçalves Barros, 2015. "The Use Of Space Syntax In Urban Transport Analysis: Limits And Potentials," Discussion Papers 0188, Instituto de Pesquisa Econômica Aplicada - IPEA.
    3. Noelia Somarriba Arechavala & Pilar Zarzosa Espina & Ana Teresa López Pastor, 2022. "The Importance of the Neighbourhood Environment and Social Capital for Happiness in a Vulnerable District: The Case of the Pajarillos District in Spain," Journal of Happiness Studies, Springer, vol. 23(5), pages 1941-1965, June.
    4. Hyungkyoo Kim, 2020. "Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea," IJERPH, MDPI, vol. 17(11), pages 1-17, June.
    5. Austin Boyle & Charles Barrilleaux & Daniel Scheller, 2014. "Does Walkability Influence Housing Prices?," Social Science Quarterly, Southwestern Social Science Association, vol. 95(3), pages 852-867, September.
    6. Scoppa, Martin & Bawazir, Khawla & Alawadi, Khaled, 2019. "Straddling boundaries in superblock cities. Assessing local and global network connectivity using cases from Abu Dhabi, UAE," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 770-782.
    7. Gutiérrez, J. & Velázquez, J. & García-Abril, A. & Hernando, A. & Sánchez, B. & Gómez, I., 2020. "Impact model of urban development on steppic birds in natura 2000 spaces," Land Use Policy, Elsevier, vol. 90(C).
    8. Wagner, Roy, 2008. "On the metric, topological and functional structures of urban networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(8), pages 2120-2132.
    9. Bereitschaft, Bradley, 2020. "Gentrification and the evolution of commuting behavior within America's urban cores, 2000–2015," Journal of Transport Geography, Elsevier, vol. 82(C).
    10. Elizondo-Candanedo, Raúl F. & Arranz-López, Aldo & Soria-Lara, Julio A. & Páez, Antonio, 2024. "When e-activities meet spatial accessibility: A theoretical framework and empirical space-time thresholds for simulated spatial settings," Journal of Transport Geography, Elsevier, vol. 121(C).
    11. Lynda Cheshire & Robin Fitzgerald & Yan Liu, 2019. "Neighbourhood change and neighbour complaints: How gentrification and densification influence the prevalence of problems between neighbours," Urban Studies, Urban Studies Journal Limited, vol. 56(6), pages 1093-1112, May.
    12. Neatt, Kevin & Millward, Hugh & Spinney, Jamie, 2017. "Neighborhood walking densities: A multivariate analysis in Halifax, Canada," Journal of Transport Geography, Elsevier, vol. 61(C), pages 9-16.
    13. Drielsma, Michael J. & Love, Jamie & Taylor, Subhashni & Thapa, Rajesh & Williams, Kristen J., 2022. "General Landscape Connectivity Model (GLCM): a new way to map whole of landscape biodiversity functional connectivity for operational planning and reporting," Ecological Modelling, Elsevier, vol. 465(C).
    14. Lin, Tao & Wang, Donggen, 2015. "Tradeoffs between in- and out-of-residential neighborhood locations for discretionary activities and time use: do social contexts matter?," Journal of Transport Geography, Elsevier, vol. 47(C), pages 119-127.
    15. Cohen-Blankshtain, Galit & Gofen, Anat, 2025. "Understanding voluntary carlessness: Why outliers matter," Journal of Transport Geography, Elsevier, vol. 123(C).
    16. Delmelle, Elizabeth C. & Haslauer, Eva & Prinz, Thomas, 2013. "Social satisfaction, commuting and neighborhoods," Journal of Transport Geography, Elsevier, vol. 30(C), pages 110-116.
    17. Eriksson, Malin & Emmelin, Maria, 2013. "What constitutes a health-enabling neighborhood? A grounded theory situational analysis addressing the significance of social capital and gender," Social Science & Medicine, Elsevier, vol. 97(C), pages 112-123.
    18. Seyda Akcali & Arzu Cahantimur, 2022. "The Pentagon Model of Urban Social Sustainability: An Assessment of Sociospatial Aspects, Comparing Two Neighborhoods," Sustainability, MDPI, vol. 14(9), pages 1-24, April.
    19. Chen, Dongxu & Sun, Yu & Yang, Zhongzhen, 2020. "Optimization of the travel ban scheme of cars based on the spatial distribution of the last digit of license plates," Transport Policy, Elsevier, vol. 94(C), pages 43-53.
    20. Tingting Yang & Xuefeng Guan & Yuehui Qian & Weiran Xing & Huayi Wu, 2019. "Efficiency Evaluation of Urban Road Transport and Land Use in Hunan Province of China Based on Hybrid Data Envelopment Analysis (DEA) Models," Sustainability, MDPI, vol. 11(14), pages 1-18, July.

    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:jsusta:v:9:y:2017:i:3:p:434-:d:93183. 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.