iWalk: Uma Solução para Medição e Análise da Caminhabilidade de Cidades com Portais de Dados Abertos
Abstract
Understanding the interest of pedestrians movements in a region is an important task to improve the effectiveness of mobile applications and is directly related to the quality of life in urban spaces. In this sense, this work presents iWalk, a solution based on the calculations of the walkability index present in the literature. Through urban computing and using open data, with iWalk, it is possible to measure and analyze the quality of urban infrastructure in a scalable way, without the need for on-site visits. The results of the simulations indicate that the proposed solution is able to present an efficient model for the analysis of walkability indicators, using open data available in government portals.
References
Abnt, N. (2015). 9050. acessibilidade a edificações, mobiliário, espaços e equipamentos urbanos. Rio de Janeiro: Associação Brasileira de Normas Técnicas.
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.
Published
2021-08-16
How to Cite
PISCO, Vinícius Gonçalves; MARQUES-NETO, Humberto Torres.
iWalk: Uma Solução para Medição e Análise da Caminhabilidade de Cidades com Portais de Dados Abertos. In: URBAN COMPUTING WORKSHOP (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.
