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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
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    References listed on IDEAS

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    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. 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.
    4. 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.
    5. 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.
    6. repec:gam:jsusta:v:8:y:2016:i:3:p:257:d:65482 is not listed on IDEAS
    7. Unknown, 2005. "Forward," 2005 Conference: Slovenia in the EU - Challenges for Agriculture, Food Science and Rural Affairs, November 10-11, 2005, Moravske Toplice, Slovenia 183804, Slovenian Association of Agricultural Economists (DAES).
    8. repec:gam:jsusta:v:8:y:2016:i:3:p:-:d:65482 is not listed on IDEAS
    9. 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.
    10. 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.
    11. 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.
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    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. 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.
    3. 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.

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