A lisbon case study
العنوان: | A lisbon case study |
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المؤلفون: | Manzolli, Jônatas Augusto, Oliveira, André, Neto, Miguel De Castro |
المساهمون: | NOVA Information Management School (NOVA IMS), Information Management Research Center (MagIC) - NOVA Information Management School |
المصدر: | Repositório Científico de Acesso Aberto de Portugal Repositório Científico de Acesso Aberto de Portugal (RCAAP) instacron:RCAAP |
سنة النشر: | 2021 |
مصطلحات موضوعية: | Multi-criteria decision support, Renewable Energy, Sustainability and the Environment, Micro-mobility, Geography, Planning and Development, Multi-attribute value theory, Walkability, SDG 7 - Affordable and Clean Energy, Management, Monitoring, Policy and Law, City planning, SDG 11 - Sustainable Cities and Communities |
الوصف: | Manzolli, J. A., Oliveira, A., & Neto, M. D. C. (2021). Evaluating walkability through a multi-criteria decision analysis approach: A lisbon case study. Sustainability (Switzerland), 13(3), 1-20. [1450]. https://doi.org/10.3390/su13031450 New strategies to improve the quality of urban pedestrian environments are becoming increasingly important in sustainable city planning. This trend has been driven by the advantages that active mobility provides in terms of health, social, and environmental aspects. Our work explores the idea of walkability. This concept refers to the friendliness of the urban environment to pedestrian traffic. We propose a framework based on the multi-criteria decision analysis (MCDA) methodology to rank streets in terms of walkability levels. The city of Lisbon (Portugal) is the location of the streets under examination. Findings confirmed the framework’s replicability and suggested the possibility of this strategy being used as a support tool for designing urban policies. publishersversion published |
اللغة: | English |
URL الوصول: | https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::30730cb6046d0e28d2f8c93daa7ffcb4 https://hdl.handle.net/10362/111907 |
حقوق: | OPEN |
رقم الأكسشن: | edsair.dedup.wf.001..30730cb6046d0e28d2f8c93daa7ffcb4 |
قاعدة البيانات: | OpenAIRE |
الوصف غير متاح. |