scholarly journals Identifying, projecting, and evaluating informal urban expansion spatial patterns

2022 ◽  
pp. 1-13
Author(s):  
Beth Tellman ◽  
Hallie Eakin ◽  
B.L. Turner
Keyword(s):  
Spatial Patterns ◽  
Urban Expansion

scholarly journals Showcasing Relationships between Neighborhood Design and Wellbeing Toronto Indicators

2020 ◽  
Vol 12 (3) ◽  
pp. 997 ◽  
Author(s):  
Richard Shaker ◽  
Joseph Aversa ◽  
Victoria Papp ◽  
Bryant Serre ◽  
Brian Mackay
Keyword(s):  
Sustainable Development ◽  
Landscape Ecology ◽  
Land Cover ◽  
Spatial Patterns ◽  
Urban Expansion ◽  
Explanatory Power ◽  
Well Being ◽  
Development Planning ◽  
Landscape Configuration ◽  
Public Data

Cities are the keystone landscape features for achieving sustainability locally, regionally, and globally. With the increasing impacts of urban expansion eminent, policymakers have encouraged researchers to advance or invent methods for managing coupled human–environmental systems associated with local and regional sustainable development planning. Although progress has been made, there remains no universal instrument for attaining sustainability on neither regional nor local planning scales. Previous sustainable urbanization studies have revealed that landscape configuration metrics can supplement other measures of urban well-being, yet few have been included in public data dashboards or contrasted against local well-being indicators. To advance this sector of sustainable development planning, this study had three main intentions: (1) to produce a foundational suite of landscape ecology metrics from the 2007 land cover dataset for the City of Toronto; (2) to visualize and interpret spatial patterns of neighborhood streetscape patch cohesion index (COHESION), Shannon’s diversity index (SHDI), and four Wellbeing Toronto indicators across the 140 Toronto neighborhoods; (3) to quantitatively assess the global collinearity and local explanatory power of the well-being and landscape measures showcased in this study. One-hundred-and-thirty landscape ecology metrics were computed: 18 class configuration metrics across seven land cover categories and four landscape diversity metrics. Anselin Moran’s I-test was used to illustrate significant spatial patterns of well-being and landscape indicators; Pearson’s correlation and conditional autoregressive (CAR) statistics were used to evaluate relationships between them. Spatial “hot-spots” and/or “cold-spots” were found in all streetscape variables. Among other interesting results, Walk Score® was negatively related to both tree canopy and grass/shrub connectedness, signifying its lack of consideration for the quality of ecosystem services and environmental public health—and subsequently happiness—during its proximity assessment of socioeconomic amenities. In sum, landscape ecology metrics can provide cost-effective ecological integrity addendum to existing and future urban resilience, sustainable development, and well-being monitoring programs.

scholarly journals Urban expansion in Zanzibar City, Tanzania: Analyzing quantity, spatial patterns and effects of alternative planning approaches

2018 ◽  
Vol 71 ◽  
pp. 554-565 ◽  
Author(s):  
Markus O. Kukkonen ◽  
Muhammad J. Muhammad ◽  
Niina Käyhkö ◽  
Miska Luoto
Keyword(s):  
Spatial Patterns ◽  
Urban Expansion ◽  
Planning Approaches

scholarly journals Spatial Patterns of Urban Expansion in Chinese Cities

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Jing Yao ◽  
Ya Ping Wang ◽  
Xiaoxiang Zhang
Keyword(s):  
Spatial Patterns ◽  
Urban Form ◽  
Urban Expansion ◽  
Urban Land Use ◽  
Policy Implications ◽  
Geographical Information ◽  
Western China ◽  
City Development ◽  
Chinese Cities ◽  
The City

<p><strong>Abstract.</strong> China has experienced high rate urbanization in recent years, with urban population increased from 460 to 750 million and the built-up area of metropolis expanded by almost 60% since 2000. Urban landscape has been dramatically changed by intensified inner-city development and urban sprawl. In recent years, the changes in urban form has transformed from expansion to restructuring. A good understanding of urban expansion and spatial restructuring as a consequence of urbanization has important policy implications, enhancing the knowledge of spatial variations in urban growth in transitional Chinese cities and assisting with sustainable urban and regional planning.</p><p>Using the Landsat satellite images from 1995 to 2015, this research explores urban expansion and its spatial patterns in second-tier Chinese cities, taking Tianjin, Hangzhou and Chengdu as examples, which are the leaders in the urbanization in Northern, Eastern and Western China, respectively. The study area includes the city proper in the three case study cities. Figure 1 shows the expansion of urban area in the three cities over the study time period. By visual inspection, it can be observed that the spatial pattern of urban land use growth varies across the three cities. For example, Tianjin has been largely expanding towards the east, particularly the Tianjin Binhai New Area, which has been rapidly developed into a new city core. The city of Chengdu seems having been expanding toward all directions of the surrounding area, integrated with the adjacent towns into a larger urban agglomeration. Further work will focus on quantitative analysis of the spatial patterns of urban expansion using geographical information system (GIS)-based spatial analytics, as well as the association between urban expansion and socioeconomic changes, with a reflection on the role of national/local policies.</p>

scholarly journals Determining and Predicting the Water Demand Dynamic System Model Mapping Urban Crawling and Monitoring Using Remote Sensing Techniques and GIS

2018 ◽  
Vol 24 (6) ◽  
pp. 103 ◽  
Author(s):  
Basim Hussein Khudair ◽  
Noor Sameer Sadeq ◽  
Raghad Sameer Mahmoud
Keyword(s):  
Information Systems ◽  
Geographic Information Systems ◽  
Spatial Patterns ◽  
Urban Expansion ◽  
Geographic Information ◽  
Aerial Images ◽  
Residential Areas ◽  
Rapid Population Growth ◽  
Model Mapping ◽  
Remote Sensing Techniques

The problem of rapid population growth is one of the main problems effecting countries of the world the reason for this the growth in different environment areas of life commercial, industrial, social, food and educational. Therefore, this study was conducted on the amount of potable water consumed using two models of the two satellite and aerial images of the Kadhimiya District-block 427 and Al-Shu,laa district-block 450 in Baghdad city for available years in the Secretariat of Baghdad (2005, 2011,2013,2015). Through the characteristics of geographic information systems, which revealed the spatial patterns of urban creep by determining the role and buildings to be created, which appear in the picture for the year 2008, 2013, 2015, respectively, compared to buildings and residential areas allocated in 2005. Comparison of each year before to estimate the number the population is the bidder in these years. The amount of water consumed in this period has also been obtained to estimate the amount of water produced for sanitation. The knowledge of growing buildings, increasing population and percentage of increase in the amount of water consumed. Geographic information systems reveal spatial patterns of civilian creep by measuring dimensions in new urban expansion areas from city middle and roads. In various years and in order to knowledge changes that have occurred in particular in the built-up areas, and the urban analyze congestion for periods of lagging and the growth prediction of urban area in the coming years.  

Analysing spatial patterns and trend of future urban expansion using SLEUTH

2019 ◽  
Vol 28 (1) ◽  
pp. 11-23 ◽  
Author(s):  
M. C. Chandan ◽  
G. Nimish ◽  
H. A. Bharath
Keyword(s):  
Spatial Patterns ◽  
Urban Expansion

scholarly journals Urban Expansion in Ethiopia from 1987 to 2017: Characteristics, Spatial Patterns, and Driving Forces

2019 ◽  
Vol 11 (10) ◽  
pp. 2973 ◽  
Author(s):  
Berhanu Keno Terfa ◽  
Nengcheng Chen ◽  
Dandan Liu ◽  
Xiang Zhang ◽  
Dev Niyogi
Keyword(s):  
Urban Development ◽  
Spatial Patterns ◽  
Urban Growth ◽  
Driving Forces ◽  
Addis Ababa ◽  
Urban Expansion ◽  
Spatiotemporal Analysis ◽  
Rapid Urbanization ◽  
Master Plans ◽  
Coalescence Theory

Rapid urban growth in major cities of a country poses challenges for sustainable development. Particularly in Africa, the process of rapid urbanization is little understood and research is mostly limited to single cities. Thus, this study provides a comprehensive comparative analysis of the growth and spatial patterns of urban development in the three major cities of Ethiopia (Addis Ababa, Adama, and Hawassa) from 1987 to 2017. Also, the applicability of diffusion and coalescence theory on the evolution of these cities has been tested. Remote sensing and GIS technologies were combined with spatial metrics and morphological analysis was employed to undertake this study. The result revealed that all the studied cities experienced accelerated growth in the urbanized areas, but the cities with a larger initial urbanized size were associated with lower expansion rates. Differences in extent and direction of expansion in each city were mostly related to physical features, urban master plans, and policies, with an increase in the irregularity and dispersion of urban growth, representing strong evidence of urban sprawl. The spatiotemporal analysis confirmed that the urbanization processes of Addis Ababa and Adama were consistent and Hawassa city diverged from expectations based on diffusion and coalescence theory. In general, large cities with strong economic growth in a country fail to effectively control the scattered nature of urban growth, thus requiring aggressive policy intervention. The approach used in this study permits a deeper exploration of urban development patterns and the identification of priority areas for effective urban planning and management.

Coupling urban expansion models and hydrological models: How important are spatial patterns?

2010 ◽  
Vol 27 (3) ◽  
pp. 965-975 ◽  
Author(s):  
Lien Poelmans ◽  
Anton Van Rompaey ◽  
Okke Batelaan
Keyword(s):  
Spatial Patterns ◽  
Urban Expansion ◽  
Hydrological Models

Agricultural spatial expansion in Ecuador through Intensity Analysis

2021 ◽  
Author(s):  
Andrea Urgilez-Clavijo ◽  
Ana M. Tarquis
Keyword(s):  
Image Analysis ◽  
Habitat Loss ◽  
Spatial Patterns ◽  
Urban Expansion ◽  
Amazon Region ◽  
Soil Types ◽  
Agricultural Expansion ◽  
Intensity Analysis ◽  
Agricultural Frontier ◽  
Priority Areas

&lt;p&gt;The expansion of the agricultural frontier is a process that has been affecting natural ecosystems, driving landscape fragmentation, and promoting habitat loss from 1990 in the Ecuadorian Amazon. Characterizing spatial patterns of the expansion of agricultural frontier can provide valuable data to take forward trade-offs in areas with exacerbated expansion rates and habitat loss (Urgilez-Clavijo et al., 2020). The aim of this work is to identify and characterize the spatial patterns of the expansion of the agricultural frontier in Ecuador and provide an alternative to setting the priority areas.&lt;/p&gt;&lt;p&gt;With this purpose, an image analysis approach was applied to identify process patterns using classified images from 1990 to 2020. A statistical analysis of the agricultural expansion dynamics is performed in the Amazon region accumulating the land use information. Complementary to this, we used a soil map to detect a correlation of the process to soil types. Then the Intensity Analysis (IA) was implemented to characterize and visualize the spatio-temporal rates of the expansion process. This method allows identifying areas in which the process is faster and active.&lt;/p&gt;&lt;p&gt;The results show distinct patterns of agricultural expansion in the Amazon region, especially from Andean hill slopes to the primary forest. These processes are in part explained by soil type suitability, transportation network development, and urban expansion. The spatial priorities of the expansion of the agricultural frontier are identified from two sources, i) from intensity analysis graphs and ii) from regional maps. The spatial characteristics and identification of spatial priorities of the expansion of the agricultural frontier will bring valuable information to policymakers to achieve SDG 15th of the 2030 Agenda in Ecuador.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Keywords:&lt;/strong&gt; expansion of agricultural frontier, Intensity Analysis, priority areas, image analysis, patterns&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Reference&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Urgilez-Clavijo, A., J. de la Riva, D. Rivas-Tabares and A.M. Tarquis. Linking deforestation patterns to soil types: A multifractal approach. European Journal of Soil Science, https://doi.org/10.1111/ejss.13032&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Acknowledgements&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;The authors acknowledge support from Project No. PGC2018-093854-B-I00 of the Spanish Ministerio de Ciencia Innovaci&amp;#243;n y Universidades of Spain and the funding from the Comunidad de Madrid (Spain), Structural Funds 2014-2020 512 (ERDF and ESF), through project AGRISOST-CM S2018/BAA-4330&lt;/p&gt;

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