IDEAS home Printed from https://ideas.repec.org/a/eee/jotrge/v67y2018icp61-72.html
   My bibliography  Save this article

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

Author

Listed:
  • Delso, Javier
  • Martín, Belén
  • Ortega, Emilio

Abstract

Walking as a stand-alone transport mode has recently been the focus of attention by researchers, urban planners and the public. The reasons are multiple and involve health, economic, social and environmental issues. City planners are implementing new urban configurations aimed at providing global solutions for environmental and mobility challenges by improving the availability and quality of the public space for walking. The aim of this paper is to provide a procedure to evaluate the impact of obstacles to pedestrian mobility and walkability —understanding obstacles as street crossings where pedestrians must wait to continue their route. The procedure combines the calculation of travel time on minimum cost routes and network kernel density estimations. The implementation of a new urban configuration in a medium sized city in northern Spain —the superblocks model in Vitoria-Gasteiz city— serves as a case study. The main results show that the implementation of the superblocks reduces pedestrian travel times by approximately 4–5%, and that the greatest improvements in pedestrian mobility due to the reduction of obstacles are found in areas in the city centre or in streets linking important residential areas with the centre. The procedure has been demonstrated to be useful for urban and transport planners to identify priority areas of action and to evaluate pedestrian movements and walkability under new urban configurations.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:jotrge:v:67:y:2018:i:c:p:61-72
    DOI: 10.1016/j.jtrangeo.2018.02.001
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0966692317305513
    Download Restriction: no

    File URL: https://libkey.io/10.1016/j.jtrangeo.2018.02.001?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
    ---><---

    References listed on IDEAS

    as
    1. Timothy F. Leslie, 2010. "Identification and Differentiation of Urban Centers in Phoenix Through a Multi-Criteria Kernel-Density Approach," International Regional Science Review, , vol. 33(2), pages 205-235, April.
    2. Mejia-Dorantes, Lucia & Paez, Antonio & Vassallo, Jose Manuel, 2012. "Transportation infrastructure impacts on firm location: the effect of a new metro line in the suburbs of Madrid," Journal of Transport Geography, Elsevier, vol. 22(C), pages 236-250.
    3. Broach, Joseph & Dill, Jennifer & Gliebe, John, 2012. "Where do cyclists ride? A route choice model developed with revealed preference GPS data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(10), pages 1730-1740.
    4. 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.
    5. Xie, Zhixiao & Yan, Jun, 2013. "Detecting traffic accident clusters with network kernel density estimation and local spatial statistics: an integrated approach," Journal of Transport Geography, Elsevier, vol. 31(C), pages 64-71.
    6. Young, Jason & Park, Peter Y., 2014. "Hotzone identification with GIS-based post-network screening analysis," Journal of Transport Geography, Elsevier, vol. 34(C), pages 106-120.
    7. Hass-Klau, Carmen, 1993. "A review of the evidence from Germany and the UK," Transport Policy, Elsevier, vol. 1(1), pages 21-31, October.
    8. Guo, Zhan & Loo, Becky P.Y., 2013. "Pedestrian environment and route choice: evidence from New York City and Hong Kong," Journal of Transport Geography, Elsevier, vol. 28(C), pages 124-136.
    9. Arranz-López, Aldo & Soria-Lara, Julio A & López-Escolano, Carlos & Pueyo Campos, Ángel, 2017. "Retail Mobility Environments: A methodological framework for integrating retail activity and non-motorised accessibility in Zaragoza, Spain," Journal of Transport Geography, Elsevier, vol. 58(C), pages 92-103.
    10. García-Palomares, Juan Carlos, 2010. "Urban sprawl and travel to work: the case of the metropolitan area of Madrid," Journal of Transport Geography, Elsevier, vol. 18(2), pages 197-213.
    11. Moniruzzaman, Md & Páez, Antonio, 2016. "An investigation of the attributes of walkable environments from the perspective of seniors in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 85-96.
    12. Chia-Yuan Yu, 2015. "Built Environmental Designs in Promoting Pedestrian Safety," Sustainability, MDPI, vol. 7(7), pages 1-17, July.
    13. L. Mejia-Dorantes & B. Martín-Ramos, 2013. "Mapping the firmographic mobility: a case study in a region of Madrid," Journal of Maps, Taylor & Francis Journals, vol. 9(1), pages 55-63, March.
    14. 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.
    15. Auttapone Karndacharuk & Douglas J. Wilson & Roger Dunn, 2014. "A Review of the Evolution of Shared (Street) Space Concepts in Urban Environments," Transport Reviews, Taylor & Francis Journals, vol. 34(2), pages 190-220, March.
    16. 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.
    17. Sergio Porta & Emanuele Strano & Valentino Iacoviello & Roberto Messora & Vito Latora & Alessio Cardillo & Fahui Wang & Salvatore Scellato, 2009. "Street Centrality and Densities of Retail and Services in Bologna, Italy," Environment and Planning B, , vol. 36(3), pages 450-465, June.
    18. 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.
    19. Cain, Kelli L. & Millstein, Rachel A. & Sallis, James F. & Conway, Terry L. & Gavand, Kavita A. & Frank, Lawrence D. & Saelens, Brian E. & Geremia, Carrie M. & Chapman, James & Adams, Marc A. & Glanz,, 2014. "Contribution of streetscape audits to explanation of physical activity in four age groups based on the Microscale Audit of Pedestrian Streetscapes (MAPS)," Social Science & Medicine, Elsevier, vol. 116(C), pages 82-92.
    20. Peiravian, Farideddin & Derrible, Sybil & Ijaz, Farukh, 2014. "Development and application of the Pedestrian Environment Index (PEI)," Journal of Transport Geography, Elsevier, vol. 39(C), pages 73-84.
    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. Tuomo Joensuu & Markku Norvasuo & Harry Edelman, 2019. "Stakeholders’ Interests in Developing an Energy Ecosystem for the Superblock—Case Hiedanranta," Sustainability, MDPI, vol. 12(1), pages 1-19, December.
    2. Rahman, Ashikur, 2022. "A GIS-based, microscale walkability assessment integrating the local topography," Journal of Transport Geography, Elsevier, vol. 103(C).

    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. 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.
    2. Liu, Yanan & Yang, Dujuan & Timmermans, Harry J.P. & de Vries, Bauke, 2020. "Analysis of the impact of street-scale built environment design near metro stations on pedestrian and cyclist road segment choice: A stated choice experiment," Journal of Transport Geography, Elsevier, vol. 82(C).
    3. Mona Jabbari & Fernando Fonseca & Rui Ramos, 2021. "Accessibility and Connectivity Criteria for Assessing Walkability: An Application in Qazvin, Iran," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    4. 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.
    5. Ahmad Adeel & Bruno Notteboom & Ansar Yasar & Kris Scheerlinck & Jeroen Stevens, 2021. "Sustainable Streetscape and Built Environment Designs around BRT Stations: A Stated Choice Experiment Using 3D Visualizations," Sustainability, MDPI, vol. 13(12), pages 1-21, June.
    6. Mejia-Dorantes, Lucia & Lucas, Karen, 2014. "Public transport investment and local regeneration: A comparison of London׳s Jubilee Line Extension and the Madrid Metrosur," Transport Policy, Elsevier, vol. 35(C), pages 241-252.
    7. 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.
    8. Delclòs-Alió, Xavier & Miralles-Guasch, Carme, 2018. "Looking at Barcelona through Jane Jacobs’s eyes: Mapping the basic conditions for urban vitality in a Mediterranean conurbation," Land Use Policy, Elsevier, vol. 75(C), pages 505-517.
    9. Elise Desjardins & Christopher D. Higgins & Darren M. Scott & Emma Apatu & Antonio Páez, 2022. "Correlates of bicycling trip flows in Hamilton, Ontario: fastest, quietest, or balanced routes?," Transportation, Springer, vol. 49(3), pages 867-895, June.
    10. Ke Nie & Zhensheng Wang & Qingyun Du & Fu Ren & Qin Tian, 2015. "A Network-Constrained Integrated Method for Detecting Spatial Cluster and Risk Location of Traffic Crash: A Case Study from Wuhan, China," Sustainability, MDPI, vol. 7(3), pages 1-16, March.
    11. Mona Jabbari & Fernando Fonseca & Rui Ramos, 2018. "Combining multi-criteria and space syntax analysis to assess a pedestrian network: the case of Oporto," Journal of Urban Design, Taylor & Francis Journals, vol. 23(1), pages 23-41, January.
    12. Aldo Arranz-López & Julio A. Soria-Lara & Carlos López-Escolano & Ángel Pueyo Campos, 2017. "Making ‘Retail Mobility Environments’ visible for collaborative transport planning," Journal of Maps, Taylor & Francis Journals, vol. 13(1), pages 90-100, January.
    13. Ivan Blečić & Tanja Congiu & Giovanna Fancello & Giuseppe Andrea Trunfio, 2020. "Planning and Design Support Tools for Walkability: A Guide for Urban Analysts," Sustainability, MDPI, vol. 12(11), pages 1-18, May.
    14. Yongcheng Wang & Yiik Diew Wong & Kelvin Goh, 2021. "Perceived importance of inclusive street dimensions: a public questionnaire survey from a vision(ing) perspective," Transportation, Springer, vol. 48(2), pages 699-721, April.
    15. Gehrke, Steven R. & Wang, Liming, 2020. "Operationalizing the neighborhood effects of the built environment on travel behavior," Journal of Transport Geography, Elsevier, vol. 82(C).
    16. Shatu, Farjana & Yigitcanlar, Tan, 2018. "Development and validity of a virtual street walkability audit tool for pedestrian route choice analysis—SWATCH," Journal of Transport Geography, Elsevier, vol. 70(C), pages 148-160.
    17. Sarjala, Satu, 2019. "Built environment determinants of pedestrians’ and bicyclists’ route choices on commute trips: Applying a new grid-based method for measuring the built environment along the route," Journal of Transport Geography, Elsevier, vol. 78(C), pages 56-69.
    18. Clifton, Kelly J. & Singleton, Patrick A. & Muhs, Christopher D. & Schneider, Robert J., 2016. "Representing pedestrian activity in travel demand models: Framework and application," Journal of Transport Geography, Elsevier, vol. 52(C), pages 111-122.
    19. Fancello, Giovanna & Congiu, Tanja & Tsoukiàs, Alexis, 2020. "Mapping walkability. A subjective value theory approach," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    20. Yafeng Zou & Qi Wang & Min Deng & Yujie Wang, 2021. "Community Intervention System: COVID-19 Control in Inner Mongolia Autonomous Region, China," IJERPH, MDPI, vol. 18(23), pages 1-18, December.

    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:jotrge:v:67:y:2018:i:c:p:61-72. 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: https://www.journals.elsevier.com/journal-of-transport-geography .

    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.