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Combining multi-criteria and space syntax analysis to assess a pedestrian network: the case of Oporto

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  • Mona Jabbari
  • Fernando Fonseca
  • Rui Ramos

Abstract

This paper describes a GIS-based integrated approach to assess a pedestrian network by combining multi-criteria and space syntax. The analysis combines pedestrian attributes with street connectivity and both factors were evaluated by a group of experts. The approach was adopted in the city of Oporto. Results show that the city centre offers various conditions; however, overall they are poor for pedestrians. Moreover, the streets which scored best are not integrated into the network. The described approach can potentially be replicated in other cities in terms of improving the walkability and promoting sustainable urban mobility.

Suggested Citation

  • 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.
    • Handle: RePEc:taf:cjudxx:v:23:y:2018:i:1:p:23-41
    DOI: 10.1080/13574809.2017.1343087
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    1. Koh, Puay Ping & Wong, Yiik Diew, 2013. "Comparing pedestrians’ needs and behaviours in different land use environments," Journal of Transport Geography, Elsevier, vol. 26(C), pages 43-50.
    2. John Ward, E. & Dimitriou, Harry T. & Wright, Phil & Dean, Marco, 2016. "Application of policy-led multi-criteria analysis to the project appraisal of the Northern Line Extension, London," Research in Transportation Economics, Elsevier, vol. 58(C), pages 46-80.
    3. Yang, Tianxiang & Jing, Dong & Wang, Shoubing, 2015. "Applying and exploring a new modeling approach of functional connectivity regarding ecological network: A case study on the dynamic lines of space syntax," Ecological Modelling, Elsevier, vol. 318(C), pages 126-137.
    4. Mateo-Babiano, Iderlina, 2016. "Pedestrian's needs matter: Examining Manila's walking environment," Transport Policy, Elsevier, vol. 45(C), pages 107-115.
    5. Sungduck Lee & Emily Talen, 2014. "Measuring Walkability: A Note on Auditing Methods," Journal of Urban Design, Taylor & Francis Journals, vol. 19(3), pages 368-388, May.
    6. Christiansen, Lars B. & Toftager, Mette & Schipperijn, Jasper & Ersbøll, Annette K. & Giles-Corti, Billie & Troelsen, Jens, 2014. "School site walkability and active school transport – association, mediation and moderation," Journal of Transport Geography, Elsevier, vol. 34(C), pages 7-15.
    7. Longo, Alberto & Hutchinson, W. George & Hunter, Ruth F. & Tully, Mark A. & Kee, Frank, 2015. "Demand response to improved walking infrastructure: A study into the economics of walking and health behaviour change," Social Science & Medicine, Elsevier, vol. 143(C), pages 107-116.
    8. Jeong, Sang Kyu & Ban, Yong Un, 2016. "A point-based angular analysis model for identifying attributes of spaces at nodes in street networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 450(C), pages 71-84.
    9. Kelly, C.E. & Tight, M.R. & Hodgson, F.C. & Page, M.W., 2011. "A comparison of three methods for assessing the walkability of the pedestrian environment," Journal of Transport Geography, Elsevier, vol. 19(6), pages 1500-1508.
    10. 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.
    11. Velaga, Nagendra R. & Beecroft, Mark & Nelson, John D. & Corsar, David & Edwards, Peter, 2012. "Transport poverty meets the digital divide: accessibility and connectivity in rural communities," Journal of Transport Geography, Elsevier, vol. 21(C), pages 102-112.
    12. Millward, Hugh & Spinney, Jamie & Scott, Darren, 2013. "Active-transport walking behavior: destinations, durations, distances," Journal of Transport Geography, Elsevier, vol. 28(C), pages 101-110.
    13. Lundberg, Benjamin & Weber, Joe, 2014. "Non-motorized transport and university populations: an analysis of connectivity and network perceptions," Journal of Transport Geography, Elsevier, vol. 39(C), pages 165-178.
    14. Arlie Adkins & Jennifer Dill & Gretchen Luhr & Margaret Neal, 2012. "Unpacking Walkability: Testing the Influence of Urban Design Features on Perceptions of Walking Environment Attractiveness," Journal of Urban Design, Taylor & Francis Journals, vol. 17(4), pages 499-510.
    15. Rui António Rodigues Ramos & Fernando Pereira Fonseca, 2016. "A methodology to identify a network of industrial parks in the Ave valley, Portugal," European Planning Studies, Taylor & Francis Journals, vol. 24(10), pages 1844-1862, October.
    16. 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.
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    1. Mona Jabbari & Zahra Ahmadi & Rui Ramos, 2022. "Defining a Digital System for the Pedestrian Network as a Conceptual Implementation Framework," Sustainability, MDPI, vol. 14(5), pages 1-11, February.
    2. Fernando Fonseca & Escolástica Fernandes & Rui Ramos, 2022. "Walkable Cities: Using the Smart Pedestrian Net Method for Evaluating a Pedestrian Network in Guimarães, Portugal," Sustainability, MDPI, vol. 14(16), pages 1-23, August.
    3. Chiara Garau & Alfonso Annunziata, 2019. "Smart City Governance and Children’s Agency: An Assessment of the Green Infrastructure Impact on Children’s Activities in Cagliari (Italy) with the Tool “Opportunities for Children in Urban Spaces (OC," Sustainability, MDPI, vol. 11(18), pages 1-24, September.
    4. Le Pira, Michela & Marcucci, Edoardo & Gatta, Valerio, 2021. "Roman holiday: Tourist heterogeneous preferences for walking path elements," Research in Transportation Economics, Elsevier, vol. 90(C).
    5. Chiara Garau & Alfonso Annunziata & Mauro Coni, 2018. "A Methodological Framework for Assessing Practicability of the Urban Space: The Survey on Conditions of Practicable Environments (SCOPE) Procedure Applied in the Case Study of Cagliari (Italy)," Sustainability, MDPI, vol. 10(11), pages 1-23, November.
    6. Fernando Fonseca & Elisa Conticelli & George Papageorgiou & Paulo Ribeiro & Mona Jabbari & Simona Tondelli & Rui Ramos, 2021. "Levels and Characteristics of Utilitarian Walking in the Central Areas of the Cities of Bologna and Porto," Sustainability, MDPI, vol. 13(6), pages 1-22, March.

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