Designing walkable streets in congested touristic cities: the case of Cartagena de Indias, Colombia

This paper presents the case of Cartagena de Indias, a well-known international touristic destination in Colombia, which experiences serious problems of traffic congestion and accessibility to the city center. Promoting pedestrian mobility is one of the public administration’s main goals, by enhanci...

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Autores:
Gonzalez-Urango, Hannia
Le Pira, Michela
Inturri, Giuseppe
Ignaccolo, Matteo
García-Melón, Mónica
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/5225
Acceso en línea:
https://hdl.handle.net/20.500.12442/5225
https://doi.org/10.1016/j.trpro.2020.03.021
Palabra clave:
Multicriteria evaluation approach
Analytic Network Process
Pedestrian street design
Pedestrian mobility
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License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
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dc.title.eng.fl_str_mv Designing walkable streets in congested touristic cities: the case of Cartagena de Indias, Colombia
title Designing walkable streets in congested touristic cities: the case of Cartagena de Indias, Colombia
spellingShingle Designing walkable streets in congested touristic cities: the case of Cartagena de Indias, Colombia
Multicriteria evaluation approach
Analytic Network Process
Pedestrian street design
Pedestrian mobility
title_short Designing walkable streets in congested touristic cities: the case of Cartagena de Indias, Colombia
title_full Designing walkable streets in congested touristic cities: the case of Cartagena de Indias, Colombia
title_fullStr Designing walkable streets in congested touristic cities: the case of Cartagena de Indias, Colombia
title_full_unstemmed Designing walkable streets in congested touristic cities: the case of Cartagena de Indias, Colombia
title_sort Designing walkable streets in congested touristic cities: the case of Cartagena de Indias, Colombia
dc.creator.fl_str_mv Gonzalez-Urango, Hannia
Le Pira, Michela
Inturri, Giuseppe
Ignaccolo, Matteo
García-Melón, Mónica
dc.contributor.author.none.fl_str_mv Gonzalez-Urango, Hannia
Le Pira, Michela
Inturri, Giuseppe
Ignaccolo, Matteo
García-Melón, Mónica
dc.subject.eng.fl_str_mv Multicriteria evaluation approach
Analytic Network Process
Pedestrian street design
Pedestrian mobility
topic Multicriteria evaluation approach
Analytic Network Process
Pedestrian street design
Pedestrian mobility
description This paper presents the case of Cartagena de Indias, a well-known international touristic destination in Colombia, which experiences serious problems of traffic congestion and accessibility to the city center. Promoting pedestrian mobility is one of the public administration’s main goals, by enhancing and re-designing different pedestrian paths. Designing pedestrian zones is a context-specific multifaceted problem that involves multiple stakeholders and multiple criteria. A participatory multicriteria approach based on the Analytic Network Process (ANP) has been used to understand the most important characteristics affecting pedestrian mobility in Cartagena de Indias, thus deriving a useful decision-support tool for planning and designing pedestrian paths. In this respect, in this paper a set of streets in the city center has been evaluated, by combining the results of ANP with spatial data using Geographic Information Systems (GIS), producing thematic maps and an index of pedestrian priority to derive a priority of intervention. Some streets have been redesigned with the aim to increase their walking attractiveness. Results put the basis for discussion with local administration and stakeholders to validate them and propose further applications of the methodology.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2020-04-24T19:17:48Z
dc.date.available.none.fl_str_mv 2020-04-24T19:17:48Z
dc.date.issued.none.fl_str_mv 2020
dc.type.eng.fl_str_mv article
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dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12442/5225
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.trpro.2020.03.021
identifier_str_mv 23521465
url https://hdl.handle.net/20.500.12442/5225
https://doi.org/10.1016/j.trpro.2020.03.021
dc.language.iso.eng.fl_str_mv eng
language eng
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dc.format.mimetype.eng.fl_str_mv pdf
dc.publisher.eng.fl_str_mv Elsevier
dc.source.eng.fl_str_mv Transportation Research Procedia
dc.source.none.fl_str_mv Vol. 45 (2020)
institution Universidad Simón Bolívar
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spelling Gonzalez-Urango, Hannia7ff74fed-946b-417a-b986-5d50a5bd286cLe Pira, Michela0cffd56b-d889-4067-9316-79e5cae96fb5Inturri, Giuseppe17bfab3b-4c80-4447-8f48-07cd8fdc5dfbIgnaccolo, Matteoab503992-65cd-4b88-bc57-7b716bd0ad27García-Melón, Mónicae3f2863e-80fb-4bd9-821f-6538685cbb6d2020-04-24T19:17:48Z2020-04-24T19:17:48Z202023521465https://hdl.handle.net/20.500.12442/5225https://doi.org/10.1016/j.trpro.2020.03.021This paper presents the case of Cartagena de Indias, a well-known international touristic destination in Colombia, which experiences serious problems of traffic congestion and accessibility to the city center. Promoting pedestrian mobility is one of the public administration’s main goals, by enhancing and re-designing different pedestrian paths. Designing pedestrian zones is a context-specific multifaceted problem that involves multiple stakeholders and multiple criteria. A participatory multicriteria approach based on the Analytic Network Process (ANP) has been used to understand the most important characteristics affecting pedestrian mobility in Cartagena de Indias, thus deriving a useful decision-support tool for planning and designing pedestrian paths. In this respect, in this paper a set of streets in the city center has been evaluated, by combining the results of ANP with spatial data using Geographic Information Systems (GIS), producing thematic maps and an index of pedestrian priority to derive a priority of intervention. Some streets have been redesigned with the aim to increase their walking attractiveness. Results put the basis for discussion with local administration and stakeholders to validate them and propose further applications of the methodology.pdfengElsevierAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/http://purl.org/coar/access_right/c_abf2Transportation Research ProcediaVol. 45 (2020)Multicriteria evaluation approachAnalytic Network ProcessPedestrian street designPedestrian mobilityDesigning walkable streets in congested touristic cities: the case of Cartagena de Indias, Colombiaarticlearticlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Ahmedi, L., Rrmoku, K., Sylejmani, K., and Shabani, D., 2017. A bimodal social network analysis to recommend points of interest to tourists. Social Network Analysis and Mining, Springer Vienna, 7(1), 14.Banister, D., 2008. The sustainable mobility paradigm. Transport policy, 15(2), 73-80.Blečić, I., Cecchini, A., Congiu, T., Fancello, G., and Trunfio, G. A., 2015. Evaluating walkability: a capability-wise planning and design support system. International Journal of Geographical Information Science, 29(8), 1350–1374.Caprì, S., Ignaccolo, M., Inturri, G., Le Pira, M., 2016. Green walking networks for climate change adaptation. Transportation Research Part D 45, 84–95.Cascetta, E., Cartenì, A., Pagliara, F., Montanino, M., 2015. A new look at planning and designing transportation systems: A decision-making model based on cognitive rationality, stakeholder engagement and quantitative methods. Transport Policy, 38, 27–39.Gonzalez-Urango, H., García-Melón, M., 2018. Stakeholder engagement to evaluate tourist development plans with a sustainable approach. Sustainable Development, (January), 1–12.Le Pira, M., 2018. Transport Planning with Stakeholders: An Agent-Based Modeling Approach. International Journal of Transport Economics, 45(1).Le Pira, M., Inturri, G., Ignaccolo, M., Pluchino, A., 2018. Dealing with the complexity of stakeholder interaction in participatory transport planning. In Advanced Concepts, Methodologies and Technologies for Transportation and Logistics (pp. 54-72). Springer, Cham.Ligardo-Herrera, I., Gómez-Navarro, T., Gonzalez-Urango, H., 2018. Application of the ANP to the prioritization of project stakeholders in the context of responsible research and innovation. Central European Journal of Operations Research, Springer Berlin Heidelberg.Moura, F., Cambra, P., Gonçalves, A. B., 2017. Measuring walkability for distinct pedestrian groups with a participatory assessment method: A case study in Lisbon. Landscape and Urban Planning, 157, 282–296.Parajuli, A., Pojani, D., 2017. Barriers to the pedestrianization of city centres: perspectives from the Global North and the Global South. Journal of Urban Design, 23(1), 142-160.Reed, M. S., Graves, A., Dandy, N., Posthumus, H., Hubacek, K., Morris, J., Prell, C., Quinn, C. H., and Stringer, L. c., 2009. Who’s in and why? A typology of stakeholder analysis methods for natural resource management. Journal of Environmental Management, 90(5), 1933–1949.Saaty, T. L., 2001. The Analytic Network Process: Decision Making with Dependence and Feedback. RWS Publications.Sayyadi, G., Awasthi, A., 2013. AHP-Based Approach for Location Planning of Pedestrian Zones: Application in Montreal, Canada. Journal of Transportation Engineering, 139(2), 239-246.Sipahi, S., Timor, M., 2010. The analytic hierarchy process and analytic network process: an overview of applications. Management Decision, 48(5–6), 775–808.Southworth, M., 2005. Designing the walkable city. Journal of urban planning and development, 131(4), 246-257.Talavera-Garcia, R., Soria-Lara, J. A., 2015. Q-PLOS, developing an alternative walking index. A method based on urban design quality. Cities 45, 7–17.Taleai, M., and Taheri Amiri, E., 2017. Spatial multi-criteria and multi-scale evaluation of walkability potential at street segment level: A case study of Tehran. Sustainable Cities and Society, Elsevier B.V., 31, 37–50.Tight, M., Timms, P., Banister, D., Bowmaker, J., Copas, J., Day, A., ..., Watling, D., 2011. Visions for a walking and cycling focussed urban transport system. Journal of Transport Geography, 19(6), 1580-1589.TfL, 2005. Improving walkability. Good practice guidance on improving pedestrian conditions as part of development opportunities.Wasserman, S., and Faust, K., 2007. Social Network Analysis. 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