Promoting More Efficient Use of Urban Areas in Developing Countries: An Alternative

Lima, Renato da Silva; Silva, Antônio Nélson Rodrigues da; Egami, Cintia Yumiko; Zerbini, Luiz Francisco

doi:10.3141/1726-02

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…According to [6], GIS can be defined as an organised collection of hardware, software, skilled personnel, and geographic data, in order to manage a database, making the insertion, storage, handling, removal, update, assessment, and data visualization, both spatial and non-spatial (attribute data), functioning as a valuable tool in planning and management studies. Understanding GIS only as software is to exclude the crucial role it can play in a broad process of decision making.…”

Section: Geographic Information Systems (Gis)mentioning

confidence: 99%

Combining Geographic Information Systems for Transportation and Mixed Integer Linear Programming in Facility Location-Allocation Problems

Mapa¹,

Lima²

2014

JSEA

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In this study, we aimed to assess the solution quality for location-allocation problems from facilities generated by the software TransCAD ® , a Geographic Information System for Transportation (GIS-T). Such facilities were obtained after using two routines together: Facility Location and Transportation Problem, when compared with optimal solutions from exact mathematical models, based on Mixed Integer Linear Programming (MILP), developed externally for the GIS. The models were applied to three simulations: the first one proposes opening factories and customer allocation in the state of São Paulo, Brazil; the second involves a wholesaler and a study of location and allocation of distribution centres for retail customers; and the third one involves the location of day-care centers and allocation of demand (0-3 years old children). The results showed that when considering facility capacity, the MILP optimising model presents results up to 37% better than the GIS and proposes different locations to open new facilities.

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Section: Geographic Information Systems (Gis)mentioning

confidence: 99%

Combining Geographic Information Systems for Transportation and Mixed Integer Linear Programming in Facility Location-Allocation Problems

Mapa¹,

Lima²

2014

JSEA

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“…Desta forma estaria assegurada a priori uma certa proporcionalidade entre a escala da cidade e as distâncias a serem percorridas por seus habitantes para se utilizar seus serviços públicos. A opção encontrada para este parâmetro global, que já foi inclusive explorada em outros contextos por Lima & Silva (1999) e Lima et al (2000), é um índice de acessibilidade que reflete as características de uma área urbana na sua totalidade, conforme será detalhado mais adiante neste texto. Assim, o objetivo deste trabalho é apresentar a estratégia desenvolvida, como parte de uma metodologia de apoio à decisão espacial para gestão integrada de sistemas de Educação e Saúde, de utilização de um parâmetro global da cidade como referência para análises locais de localização das instalações e de alocação da demanda.…”

Section: Introductionunclassified

[No Title Available]

Lima

Silva

2004

Pesqui. Oper.

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ResumoO objetivo desse trabalho é avaliar a utilização de um índice global de acessibilidade como padrão de referência para a distribuição espacial dos alunos da rede municipal de educação. Conhecida a localização dos alunos e das respectivas Creches e EMEIs (Escolas Municipais de Educação Infantil) de São Carlos, SP, no ano 2000, foi feita uma avaliação da distribuição real e de diversos cenários alternativos de alocação dos alunos, buscando minimizar os custos de deslocamento. Os resultados mostraram que é possível utilizar o índice proposto para definir níveis de atendimento (cobertura), de acordo com um certo grau de compacidade desejada para a cidade. As hipóteses avaliadas mostraram que é possível obter níveis de cobertura para mais de 95% dos alunos, com níveis de densidade urbanas bastante razoáveis, apenas com a realocação de parte dos alunos, mantido o mesmo número de escolas atuais e com a abertura de apenas uma nova Creche.Palavras-chave: modelos de locação-alocação; acessibilidade; planejamento urbano. AbstractThe objective of this work is to evaluate the use of a global accessibility index as a reference value for improving the spatial distribution of the students served by a public network of educational facilities at the municipal level. Given the spatial location of day-care centers and schools and their registered users during the year 2000 in the city of São Carlos, SP, an evaluation of their distribution in the actual and projected scenarios was carried out. The goal was to minimize displacement costs. The results have shown the viability of the proposed index for establishing service (coverage) areas, taking into account a certain hypothetical densification for the entire city. With the conditions set in the proposed scenarios, which were assumed to have quite acceptable urban density values and a minimum relocation level of the students, more than 95% of the children were within the coverage areas.

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Urban expansion analysis based on spatial variables derived from multi-temporal remote sensing imagery

Yang

Wang²,

Zhou

et al. 2008

SPIE Proceedings

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In this research, we focus on the spatial pattern of the urban expansion. The spatial pattern of the urban area can be quantitatively delineated by many spatial variables. Numerous spatial variables have been examined to evaluate their applicability to the urban change. These metrics include road network accessibility, built-up density and some landscape metrics. Remote sensing technology was used for monitoring dynamic urban change. Multi-temporal Landsat TM were used for the change detection using post-classification comparison method. The road network and its change were extracted from multitemporal images using the GDPA algorithm. Contagion, one of the landscape metrics, was selected, because it it can describe the heterogeneity of the suburban area, where the landuse change is most likely to happen. Analysis has also been conducted to identify the relationship between urban change and these spatial variables.

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Promoting More Efficient Use of Urban Areas in Developing Countries: An Alternative

Cited by 4 publications

References 6 publications

Combining Geographic Information Systems for Transportation and Mixed Integer Linear Programming in Facility Location-Allocation Problems

Combining Geographic Information Systems for Transportation and Mixed Integer Linear Programming in Facility Location-Allocation Problems

[No Title Available]

Urban expansion analysis based on spatial variables derived from multi-temporal remote sensing imagery

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