iWalk: Uma Solução para Medição e Análise da Caminhabilidade de Cidades com Portais de Dados Abertos
Resumo
Entender o interesse da movimentação de pedestres por uma região é uma tarefa importante para melhorar a efetividade de aplicações móveis e possui relação direta com a qualidade de vida dos espaços urbanos. Neste sentido, este trabalho apresenta o iWalk, uma solução baseada nos cálculos de índice de caminhabilidade presentes na literatura. Por meio da computação urbana e utilizando dados abertos, com o iWalk, é possível medir e analisar a qualidade das infraestruturas urbanas de maneira escalável, sem a necessidade de visitas in loco. Os resultados das simulações indicam que a solução proposta consegue apresentar um modelo eficiente para a análise de indicadores de caminhabilidade, utilizando dados abertos disponíveis em portais governamentais.
Referências
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Albino, V., Berardi, U., and Dangelico, R. M. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of urban technology, 22(1):3–21.
Bhadra, S., Sazid, A. T., and Esraz-Ul-Zannat, M. (2015). An objective assessment of walkability in khulna city: A gis based approach. In 2015 3rd International Conference on Green Energy and Technology (ICGET), pages 1–5. IEEE.
Cardoso, L., de Carvalho, I. R. V., and Nunes, N. T. R. (2019). Caminhabilidade como instrumento de mobilidade urbana: reexões sobre a realidade de belo horizonte. Revista dos Transportes Públicos-ANTP-Ano, 41:2º.
Eastman, J. and Jiang, H. (1996). Fuzzy measures in multi-criteria evaluation. United States Department of Agriculture Forest Service General Technical Report RM, pages 527–534.
Fonseca, F., Ribeiro, P., Jabbari, M., Petrova, E., Papageorgiou, G., Conticelli, E., Tondelli, S., and Ramos, R. (2019). Smart pedestrian network: an integrated conceptual model for improving walkability. In International Conference on Society with Future: Smart and Liveable Cities, pages 125–142. Springer.
Forsyth, A. (2015). What is a walkable place? the walkability debate in urban design. Urban design international, 20(4):274–292.
Frank, L. D., Schmid, T. L., Sallis, J. F., Chapman, J., and Saelens, B. E. (2005). Linking objectively measured physical activity with objectively measured urban form: findings from smartraq. American journal of preventive medicine, 28(2):117–125.
Glazier, R., Weyman, J., Creatore, M., Gozdyra, P., Moineddin, R., Matheson, F., and Booth, G. (2012). Development and validation of an urban walkability index for toronto, canada. Toronto Community Health Profiles Partnership, pages 1–21.
Kuzmyak, J. R., Baber, C., and Savory, D. (2006). Use of walk opportunities index to quantify local accessibility. Transportation Research Record, 1977(1):145–153.
Leslie, E., Coffee, N., Frank, L., Owen, N., Bauman, A., and Hugo, G. (2007). Walkability of local communities: using geographic information systems to objectively assess relevant environmental attributes. Health & place, 13(1):111–122.
Manaugh, K. and El-Geneidy, A. (2011). Validating walkability indices: How do different households respond to the walkability of their neighborhood? Transportation research part D: transport and environment, 16(4):309–315.
Mantri, A. (2008). A GIS based approach to measure walkability of a neighborhood. PhD thesis, University of Cincinnati.
Papageorgiou, G., Hadjigeorgiou, K., and Ness, A. N. (2020). An innovative way to promote walking via a smartphone pedestrian navigation application. In 2020 European Navigation Conference (ENC), pages 1–9. IEEE.
Quercia, D., Aiello, L. M., Schifanella, R., and Davies, A. (2015). The digital life of walkable streets. In Proceedings of the 24th international conference on World Wide Web, pages 875–884.
Schenk, T. (2015). Building a government data strategy: aligning open data and advanced research with the public and open science principles. In 2015 Second International Conference on eDemocracy & eGovernment (ICEDEG), pages 18–18. IEEE.
Wang, D. and Song, C. (2015). Impact of human mobility on social networks. Journal of Communications and Networks, 17(2):100–109.
Xavier, W. Z. (2019). openmodal:uma plataforma para analise de servi cos de mobilidade urbana.
Zheng, Y., Capra, L., Wolfson, O., and Yang, H. (2014). Urban computing: concepts, methodologies, and applications. ACM Transactions on Intelligent Systems and Technology (TIST), 5(3):1–55.
Albino, V., Berardi, U., and Dangelico, R. M. (2015). Smart cities: Definitions, dimensions, performance, and initiatives. Journal of urban technology, 22(1):3–21.
Bhadra, S., Sazid, A. T., and Esraz-Ul-Zannat, M. (2015). An objective assessment of walkability in khulna city: A gis based approach. In 2015 3rd International Conference on Green Energy and Technology (ICGET), pages 1–5. IEEE.
Cardoso, L., de Carvalho, I. R. V., and Nunes, N. T. R. (2019). Caminhabilidade como instrumento de mobilidade urbana: reexões sobre a realidade de belo horizonte. Revista dos Transportes Públicos-ANTP-Ano, 41:2º.
Eastman, J. and Jiang, H. (1996). Fuzzy measures in multi-criteria evaluation. United States Department of Agriculture Forest Service General Technical Report RM, pages 527–534.
Fonseca, F., Ribeiro, P., Jabbari, M., Petrova, E., Papageorgiou, G., Conticelli, E., Tondelli, S., and Ramos, R. (2019). Smart pedestrian network: an integrated conceptual model for improving walkability. In International Conference on Society with Future: Smart and Liveable Cities, pages 125–142. Springer.
Forsyth, A. (2015). What is a walkable place? the walkability debate in urban design. Urban design international, 20(4):274–292.
Frank, L. D., Schmid, T. L., Sallis, J. F., Chapman, J., and Saelens, B. E. (2005). Linking objectively measured physical activity with objectively measured urban form: findings from smartraq. American journal of preventive medicine, 28(2):117–125.
Glazier, R., Weyman, J., Creatore, M., Gozdyra, P., Moineddin, R., Matheson, F., and Booth, G. (2012). Development and validation of an urban walkability index for toronto, canada. Toronto Community Health Profiles Partnership, pages 1–21.
Kuzmyak, J. R., Baber, C., and Savory, D. (2006). Use of walk opportunities index to quantify local accessibility. Transportation Research Record, 1977(1):145–153.
Leslie, E., Coffee, N., Frank, L., Owen, N., Bauman, A., and Hugo, G. (2007). Walkability of local communities: using geographic information systems to objectively assess relevant environmental attributes. Health & place, 13(1):111–122.
Manaugh, K. and El-Geneidy, A. (2011). Validating walkability indices: How do different households respond to the walkability of their neighborhood? Transportation research part D: transport and environment, 16(4):309–315.
Mantri, A. (2008). A GIS based approach to measure walkability of a neighborhood. PhD thesis, University of Cincinnati.
Papageorgiou, G., Hadjigeorgiou, K., and Ness, A. N. (2020). An innovative way to promote walking via a smartphone pedestrian navigation application. In 2020 European Navigation Conference (ENC), pages 1–9. IEEE.
Quercia, D., Aiello, L. M., Schifanella, R., and Davies, A. (2015). The digital life of walkable streets. In Proceedings of the 24th international conference on World Wide Web, pages 875–884.
Schenk, T. (2015). Building a government data strategy: aligning open data and advanced research with the public and open science principles. In 2015 Second International Conference on eDemocracy & eGovernment (ICEDEG), pages 18–18. IEEE.
Wang, D. and Song, C. (2015). Impact of human mobility on social networks. Journal of Communications and Networks, 17(2):100–109.
Xavier, W. Z. (2019). openmodal:uma plataforma para analise de servi cos de mobilidade urbana.
Zheng, Y., Capra, L., Wolfson, O., and Yang, H. (2014). Urban computing: concepts, methodologies, and applications. ACM Transactions on Intelligent Systems and Technology (TIST), 5(3):1–55.
Publicado
16/08/2021
Como Citar
PISCO, Vinícius Gonçalves; MARQUES-NETO, Humberto Torres.
iWalk: Uma Solução para Medição e Análise da Caminhabilidade de Cidades com Portais de Dados Abertos. In: WORKSHOP DE COMPUTAÇÃO URBANA (COURB), 5. , 2021, Uberlândia.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 84-97.
ISSN 2595-2706.
DOI: https://doi.org/10.5753/courb.2021.17106.
