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Global microscale walkability ratings and rankings: A novel composite indicator for 59 European city centres

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  • Bartzokas-Tsiompras, Alexandros
  • Bakogiannis, Efthimios
  • Nikitas, Alexandros

Abstract

Several walkability studies have focused primarily on macro-level environmental factors. Nevertheless, previous research has shown that street-level design can also support walking. In this paper, we present a novel Microscale Walkability Index, ‘MWI’, that measures, ranks, and analyses the pedestrian-friendliness levels of 59 heterogeneous city centres in 26 European countries. We selected 26 case studies from European capitals and 33 city centres from metropolitan areas of regional or national importance and with >500.000 inhabitants. The conceptual framework is based on the Microscale Audit of Pedestrian Streetscapes tool, while the final scores were synthesised by aggregating three comparative benchmarking dimensions: sidewalk environment (SE), pedestrian crossings (PC), and streetscape level (SL). We used OECD's multivariate statistical analysis concept as well as an empirically aggregated indicator dataset that contained street inventories of city centres, combined with observations from Google Street View of a total of 112.000 segments/crossings and 17 urban design topics. Results showed that the five most pedestrian-friendly city centres are Barcelona, Bilbao, Oslo, Zurich, and Paris, whereas Bucharest, Athens, Sofia, Plovdiv, and Palermo are ranked last. Mann-Whitney tests showed significant differences in average microscale walkability rankings, when cities had higher GDP per capita, a higher proportion of walking/cycling and better sustainability performance. This study paves the way for future spatially dissagregated walkability approaches using multi-level models and recommends greater policy support for improving pedestrian facilities in less developed city centres in Southern/Eastern Europe.

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  • Bartzokas-Tsiompras, Alexandros & Bakogiannis, Efthimios & Nikitas, Alexandros, 2023. "Global microscale walkability ratings and rankings: A novel composite indicator for 59 European city centres," Journal of Transport Geography, Elsevier, vol. 111(C).
    • Handle: RePEc:eee:jotrge:v:111:y:2023:i:c:s0966692323001175
    DOI: 10.1016/j.jtrangeo.2023.103645
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    1. Paolo Paruolo & Michaela Saisana & Andrea Saltelli, 2013. "Ratings and rankings: voodoo or science?," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(3), pages 609-634, June.
    2. Mark R. Stevens, 2017. "Does Compact Development Make People Drive Less?," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(1), pages 7-18, January.
    3. Song, Yena & Preston, John & Ogilvie, David, 2017. "New walking and cycling infrastructure and modal shift in the UK: A quasi-experimental panel study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 320-333.
    4. Andrea Rebecchi & Maddalena Buffoli & Marco Dettori & Letizia Appolloni & Antonio Azara & Paolo Castiglia & Daniela D’Alessandro & Stefano Capolongo, 2019. "Walkable Environments and Healthy Urban Moves: Urban Context Features Assessment Framework Experienced in Milan," Sustainability, MDPI, vol. 11(10), pages 1-18, May.
    5. Bojing Liao & Pauline E. W. van den Berg & Pieter J. V. van Wesemael & Theo A. Arentze, 2020. "How Does Walkability Change Behavior? A Comparison between Different Age Groups in the Netherlands," IJERPH, MDPI, vol. 17(2), pages 1-14, January.
    6. Gascon, Mireia & Marquet, Oriol & Gràcia-Lavedan, Esther & Ambròs, Albert & Götschi, Thomas & Nazelle, Audrey de & Panis, Luc Int & Gerike, Regine & Brand, Christian & Dons, Evi & Eriksson, Ulf & Iaco, 2020. "What explains public transport use? Evidence from seven European cities," Transport Policy, Elsevier, vol. 99(C), pages 362-374.
    7. Lyons, Glenn, 2020. "Walking as a service – Does it have legs?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 137(C), pages 271-284.
    8. 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.
    9. Fernando Alves & Sara Cruz & Anabela Ribeiro & Ana Bastos Silva & João Martins & Inês Cunha, 2020. "Walkability Index for Elderly Health: A Proposal," Sustainability, MDPI, vol. 12(18), pages 1-27, September.
    10. Michele Acuto & Daniel Pejic & Jessie Briggs, 2021. "Taking City Rankings Seriously: Engaging with Benchmarking Practices in Global Urbanism," International Journal of Urban and Regional Research, Wiley Blackwell, vol. 45(2), pages 363-377, March.
    11. Ferrer, Sheila & Ruiz, Tomás, 2018. "The impact of the built environment on the decision to walk for short trips: Evidence from two Spanish cities," Transport Policy, Elsevier, vol. 67(C), pages 111-120.
    12. Marie Geraldine Herrmann-Lunecke & Rodrigo Mora & Lake Sagaris, 2020. "Persistence of walking in Chile: lessons for urban sustainability," Transport Reviews, Taylor & Francis Journals, vol. 40(2), pages 135-159, March.
    13. Matthew Carmona, 2019. "Place value: place quality and its impact on health, social, economic and environmental outcomes," Journal of Urban Design, Taylor & Francis Journals, vol. 24(1), pages 1-48, January.
    14. Dalla Chiara, Giacomo & Donnelly, Griffin & Gunes, Seyma & Goodchild, Anne, 2023. "How cargo cycle drivers use the urban transport infrastructure," Transportation Research Part A: Policy and Practice, Elsevier, vol. 167(C).
    15. Miller, Harvey J. & Witlox, Frank & Tribby, Calvin P., 2013. "Developing context-sensitive livability indicators for transportation planning: a measurement framework," Journal of Transport Geography, Elsevier, vol. 26(C), pages 51-64.
    16. Jamey M. B. Volker & Susan Handy, 2021. "Economic impacts on local businesses of investments in bicycle and pedestrian infrastructure: a review of the evidence," Transport Reviews, Taylor & Francis Journals, vol. 41(4), pages 401-431, July.
    17. Andrew Crooks & Linda See, 2022. "Leveraging Street Level Imagery for Urban Planning," Environment and Planning B, , vol. 49(3), pages 773-776, March.
    18. Liu, Shiqin & Higgs, Carl & Arundel, Jonathan & Boeing, Geoff & Cerdera, Nicholas & Moctezuma, David & Cerin, Ester & Adlakha, Deepti & Lowe, Melanie & Giles-Corti, Billie, 2021. "A Generalized Framework for Measuring Pedestrian Accessibility around the World Using Open Data," SocArXiv cua35, Center for Open Science.
    19. Yu Ye & Wei Zeng & Qiaomu Shen & Xiaohu Zhang & Yi Lu, 2019. "The visual quality of streets: A human-centred continuous measurement based on machine learning algorithms and street view images," Environment and Planning B, , vol. 46(8), pages 1439-1457, October.
    20. D'Orso, Gabriele & Migliore, Marco, 2020. "A GIS-based method for evaluating the walkability of a pedestrian environment and prioritised investments," Journal of Transport Geography, Elsevier, vol. 82(C).
    21. Salvatore Greco & Alessio Ishizaka & Menelaos Tasiou & Gianpiero Torrisi, 2019. "On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 61-94, January.
    22. Rahman, Ashikur, 2022. "A GIS-based, microscale walkability assessment integrating the local topography," Journal of Transport Geography, Elsevier, vol. 103(C).
    23. Kim, Sohee & Woo, Ayoung, 2022. "Streetscape and business survival: Examining the impact of walkable environments on the survival of restaurant businesses in commercial areas based on street view images," Journal of Transport Geography, Elsevier, vol. 105(C).
    24. Mark R. Stevens, 2017. "Response to Commentaries on “Does Compact Development Make People Drive Less?”," Journal of the American Planning Association, Taylor & Francis Journals, vol. 83(2), pages 151-158, April.
    25. 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.
    26. 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.
    27. Aghaabbasi, Mahdi & Moeinaddini, Mehdi & Shah, Muahammad Zaly & Asadi-Shekari, Zohreh, 2018. "Addressing issues in the use of Google tools for assessing pedestrian built environments," Journal of Transport Geography, Elsevier, vol. 73(C), pages 185-198.
    28. Nikitas, Alexandros & Wang, Judith Y.T. & Knamiller, Cathy, 2019. "Exploring parental perceptions about school travel and walking school buses: A thematic analysis approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 468-487.
    29. Barbara B. Brown & Wyatt A. Jensen, 2020. "Dog Ownership and Walking: Perceived and Audited Walkability and Activity Correlates," IJERPH, MDPI, vol. 17(4), pages 1-14, February.
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