Keywords
Points of Interest
ArcGis
How to Cite
Abstract
This study presents a methodological proposal for identification of new urban
functional centralities based on data from the points of interest of Open Street Map platform.
On the other hand, data collected through fieldwork interviews were also used for the study
and complemented with Google Earth imagery. Points of interest data were classified
according to pre-defined criteria representing urban features. Each criterion was assigned a
weight. The criteria weights were calculated based on the Analytical Hierarchical Process
(AHP) method. For this purpose, interviews were carried out with specialists and individuals
with greater experience of living in the study area, based on their perception regarding to
the distribution of urban functionalities. The results of interviews were introduced in
matrices that allowed the calculation of weights for each criterion. In addition, points of
interest data were edited and processed through ArcGis application, in which a map was
produced showing the spatial distribution of the points of interest and the respective levels
of centrality. Therefore, it was possible to identify from this study some points of
concentration outside the historic center of the Maputo city, which show evidence of
emergence of new functional centralities as a result of implementation of new urban
infrastructure in the non-central area, mainly related to commerce and services provision.
References
ARAÚJO, G.M. Os espaços urbanos em Moçambique. GEOUSP Espaço e Tempo, n° 14, pp. 165- 182, 2003. https://doi.org/10.11606/issn.2179-0892.geousp.2003.123846
BAIA, A. H. M. Os meandros da urbanização em Moçambique. Espaço e Tempo, nº 29, pp. 03 - 30, 2011. http://dx.doi.org/10.11606/issn.2179-0892.geousp.2011.74202.
BOEING, G. Street Network Models and Measures for Every U.S. City, County, Urbanized Area, Census Tract, and Zillow-Defined Neighborhood. Urban Sci, v. 3, n. 28, 2019. https://doi.org/10.3390/urbansci3010028.
BORGATTI, S. P. Centrality and network flow. Social Networks, v. 27, p. 55–71, 2005. https://doi.org/10.1016/j.socnet.2004.11.008.
CASTELLS, M. The city and the grassroots. Edward Arnold, 1983.
CORRÊA, R. L. O Espaço Urbano. Editora Ática, Série Princípios, 3a edição, no 174, p.1-16, 1995.
FERREIRA, H. M. Análise Critica da Noção de Policentrismo: Uma Contribuição ao Estudo da Centralidade em Cidades Médias. GEOgraphia, v. 20, n. 44, 2018. https://doi.org/10.22409/GEOgraphia2018.v1i44.a14406
GOOGLE EARTH PRO. Cidade de Maputo – Moçambique. Coordenadas 25° 58' S 32° 35' E. Acesso em: 26 Março. 2021.
HELLERVIK, A.; NILSSON, L.; ANDERSON, C. Preferential centrality – A new measure unifying urban activity, attraction and accessibility. Urban Analytics and City Science, v. 46, n. 7, p. 1331 – 1346, 2019. https://doi.org/10.1177/2399808318812888.
JIANG, S. et al. Mining point-of-interest data from social network for urban land use classification and disaggregation. Computers, Environment and Urban Systems. p. 36 – 46, 2015. https://doi.org/10.1016/j.compenvurbsys.2014.12.001.
LONG, Y.; LIU, X. Automated identification and characterization of parcels (AICP) with OpenStreetMap and Points of Interest. Environment and Planning B: Urban Alanytics and Science, v. 43, n. 2, p. 341-360, 2015 https://doi.org/10.1177/0265813515604767.
MALOA, J. M. A urbanização moçambicana contemporânea: sua característica, sua dimensão e seu desafio. Revista Brasileira de Gestão Urbana, v. 11, 2019. https://doi.org/10.1590/2175-3369.011.e20180101.
MALOA, J. M. e NASCIMENTO JÚNIOR, L. A Dispersão Urbana em Moçambique: Uma Contribuição Ao Estudo Da Produção Do Espaço Urbano Em Maputo. Raega - O Espaço Geográfico em Análise, v. 45, n. 1. p. 91 - 109, 2018. http://dx.doi.org/10.5380/raega.v45i1.50743.
MELO, V. P. Urbanismo português na cidade de Maputo: passado, presente e futuro. Revista Brasileira de Gestão Urbana, v. 5, n. 1, p. 71 - 88, 2017. https://doi.org/10.7213/urbe.7786.
MILANI, P.; SILVA, E. A. Centralidade Urbana: Um Estudo do Centro Principal de Três Lagoas – MS. Geografia em Atos, v. 1, n. 9, 2009. https://doi.org/10.35416/geoatos.v1i9.265.
OPEN STREET MAP. Disponível em: https://www.openstreetmap.org. Acesso em: 08 mai. 2020.
PORTA, S.; CRUCITTI, P.; LATORA, V. The network analysis of urban streets: a primal approach. Environment and Planning B: Planning and Design, v. 33, p. 705 – 725, 2006. https://doi.org/10.1068/b32045.
SAATY, R. W. The Analytic Hierarchy Process – What Is and How It Is Used. Mat/d Modelling, v. 9, n. 3-5, p. 161-176, 1987. https://doi.org/10.1016/0270-0255(87)90473-8.
SANTOS, J. R.; ESPÍNDOLA, E. S.; ESPINOSA, J. M. A. Identificação de Subcentralidade no Espaço Urbano Através de Análise Multicriterial: Estudo de Caso Em Rio Grande/RS. In: Anais do XIX Simpósio Brasileiro de Sensoriamento Remoto, 2019, Santos. Anais eletrônicos... São José dos Campos, INPE, 2019. Disponível em : <https://proceedings.science/sbsr-2019/papers/identificacao-de-subcentralidades-no-espaco-urbano-atraves-de-analise-multicriterial--estudo-de-caso-em-rio-grande-rs>. Acesso em: 03. Outubro. 2020.
SEVTSUK, A.; MEKONNEN, M. Urban network analysis: A new toolbox for ArcGIS. Revista Internacional da Geomática, v. 22, n. 2, p. 287 - 305, 2012. http://dx.doi.org/10.3166/rig.22.287-305
SIQUEIRA, L. P. R. Proposta Metodológica Para a Identificação de Subcentros Urbanos: Estudo de Caso na Região Metropolitana de São Paulo. Economia Aplicada, v. 18, n. 1, p. 139-165, 2014. https://doi.org/10.1590/1413-8050/ea476.
SOPHA, B. M.et al. Urban distribution center location: Combination of spatial analysis and multi-objective mixed-integer linear programming. International Journal of Engineering Business Management, v. 8, p. 1 - 10. 2016. https://doi.org/10.1177/1847979016678371.
TAHERDOOST, H. Decision Making Using the Analytic Hierarchy Process (AHP): A Step by Step Approach. International Journal of Economics and Management System, v. 2, 2017. https://hal.archives-ouvertes.fr/hal-02557320
YU, L.; WU, Y.; WU, G. Rethinking the Identification of Urban Centers from the Perspective of Function Distribution: A Framework Based on Point-of-Interest Data. Sustainability, v. 12, 2020. https://doi.org/10.3390/su12041543.
ZHONG, C. et al. Revealing Centrality in the Spatial Structure of Cities from Human Activity Patterns. Estudos Urbanos, v. 54, p. 437 - 455, 2015. http://hdl.handle.net/1721.1/109118.
Authors hold the Copyright for articles published in this journal, and the journal holds the right for first publication. Because they appear in a public access journal, articles are licensed under Creative Commons Attribution (BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.