Vertical growth in a coastal city: an analysis of Boa Viagem (Recife, Brazil)

Magarotto, Mateus; Costa, Mônica F.; Tenedório, José António; Silva, Carlos Pereira

doi:10.1007/s11852-015-0415-7

Cited by 14 publications

(9 citation statements)

References 35 publications

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“…Urban agglomerations are usually characterized by different population sizes [3], economic structures [4], landscape patterns [5], and road network densities [6,7]. These, together with many other factors, often result in a series of severe social and environmental problems [8] and geohydrological risks [9], ranging from increased temperatures [10,11] to polluted air [12], polluted water [13], and flood risk [14]. Around 1899, the urban expansion of Bamenda Town gradually invaded and transformed the hillside system, resulting in an increased dislocation of the relationship between human settlements and the environment [15].…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characterization of the Urban Expansion Patterns in the Yangtze River Delta Region

Chen

et al. 2021

Remote Sensing

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Characterizing urban expansion patterns is of great significance to planning and decision-making for urban agglomeration development. This study examined the urban expansion in the entire Yangtze River Delta Region (YRDR) with its land-use data of six years (1995, 2000, 2005, 2010, 2015, and 2018). On the basis of traditional methods, we comprehensively considered the four aspects of urban agglomeration: expansion speed, expansion difference, expansion direction, and landscape pattern, as well as the interconnection of and difference in the expansion process between each city. The spatiotemporal heterogeneity of urban expansion development in this region was investigated by using the speed and differentiation indices of urban expansion, gravity center migration, landscape indices, and spatial autocorrelations. The results show that: (1) over the 23 years, the expansion of built-up land in the Yangtze River Delta Region was significant, (2) the rapidly expanding cities were mainly located along the Yangtze River and coastal areas, while the slowly expanding cities were mainly located in the inland areas, (3) the expansion direction of each city varied and the gravity center of the urban agglomeration moved toward the southwest, and (4) the spatial structure of the region became more clustered, the shape of built-up land turned simpler, and fragmentation decreased. This study unravels the spatiotemporal change of urban expansion patterns in this large urban agglomeration, and more importantly, can serve as a guide for formulating urban agglomeration development plans.

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Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characterization of the Urban Expansion Patterns in the Yangtze River Delta Region

Chen

et al. 2021

Remote Sensing

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“…Future research on this approach that combines LULC change trajectory analysis and spatial pattern metrics needs to focus on analysing to what extent the quantitative and analytical results of LULC change detection are affected using multitemporal and multi-resolution imagery as data sources. It should also focus on enriching this approach with the creation of new spatial pattern metrics based on 3D data [59] that may improve our understanding of LULC changes that occur in very dynamic areas [60,61]…”

Section: Discussionmentioning

confidence: 99%

Coastal Land-Use and Land-Cover Change Trajectories: Are They Sustainable?

Deus

Tenedório

2021

Sustainability

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In this study, past and current land-use and land-cover (LULC) change trajectories between 1947 and 2018 were analysed in terms of sustainability using a unique set of nine detailed, high-precision LULC thematic maps for the municipality of Portimão (Algarve region), Portugal. Several Geographic Information System (GIS)-based spatial analysis techniques were used to process LULC data and assess the spatiotemporal dynamics of LULC change processes. The dynamics of LULC change were explored by analysing LULC change trajectories. In addition, spatial pattern metrics were introduced to further investigate and quantify the spatial patterns of such LULC change trajectories. The findings show that Portimão has been experiencing complex LULC changes. Nearly 52% of the study area has undergone an LULC change at least once during the 71-year period. The analysis of spatial pattern metrics on LULC change trajectories confirmed the emergence of more complex, dispersed, and fragmented shapes when patches of land were converted from non-built categories into artificial surface categories from 1947 to 2018. The combined analysis of long-term LULC sequences by means of LULC change trajectories and spatial pattern metrics provided useful, actionable, and robust empirical information that can support sustainable spatial planning and smart growth, which is much needed since the results of this study have shown that the pattern of LULC change trajectories in Portimão municipality has been heading towards unsustainability.

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“…At the same time, the insufficiency of urban facilities and green areas has become crucial. In this context, 3D change detection [6 , 19 , 22 , 29 , 37] and 3D growth estimations [3 , 9 , 15 , 17 , 32 , 34 , 35] models are developed. 3D growth is considered as high-rise building in most models.…”

Section: Background Informationmentioning

confidence: 99%

Urban growth prediction with parcel based 3D urban growth model (PURGOM)

Kuru

Yüzer

2021

MethodsX

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While cities grow horizontally over natural areas, they also grow vertically with high-rise construction in time. The Floor Area Ratio (FAR) is defined as the ratio of the amount of construction area on a parcel to the parcel area. FAR is one of the essential indicators for detecting and measuring 3D (three-dimensional) change. The amount and trends of change differ for each urban settlement and on its internal dynamics. This study consists of two stages: determining and modeling the variables and their weights that affect the FAR values and generating future estimates. First, the criteria affecting the growth trends between the years of 2012 and 2019 in the study area of Saray were examined as five groups at the parcel level with statistical and spatial analysis. It has been determined that the criteria; accessibility, accessibility in line with planning decisions, zoning and land-use decisions, land values, and the built environment affect the FAR value distribution. As a result of the analysis, the selected criteria were evaluated with Geographical Information Systems (GIS) and the weighted linear combination method. The probable spatial distribution of FAR coefficients of each parcel was found. The FAR coefficients obtained were calibrated by real FAR values for 2019. Future predictions for the years 2030 and 2040 were revealed according to the demand scenario. As a result, it was determined that there is a construction pressure on the urban center and near the transportation routes. The primary purpose of this study is to determine current trends by creating a 3D urban growth model based on parcel-level FAR values, making predictions, and producing decision support tools for city managers. Determination of criteria and weights according to spatial dynamics of the study area. Determination of the amount and type of urban growth demand specific to the study area and its compatibility with different scenarios. Prediction of parcel-based 3D urban growth

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Vertical growth in a coastal city: an analysis of Boa Viagem (Recife, Brazil)

Cited by 14 publications

References 35 publications

Spatiotemporal Characterization of the Urban Expansion Patterns in the Yangtze River Delta Region

Spatiotemporal Characterization of the Urban Expansion Patterns in the Yangtze River Delta Region

Coastal Land-Use and Land-Cover Change Trajectories: Are They Sustainable?

Urban growth prediction with parcel based 3D urban growth model (PURGOM)

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