Geospatial Technology in Urban Sprawl Assessment: A Review

Geospatial Technology in Urban Sprawl Assessment: A Review

Srutisudha Mohanty, Jagabandhu Panda, Sudhansu S. Rath
DOI: 10.4018/978-1-7998-2249-3.ch001
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Abstract

The emergence of alienated patch in the periphery of the city or fragmentation of the main city are the results of irresponsible and poor planning. This global problem of sprawl is strengthening even more with the hasty pace of urbanization. Despite the existing policies and regulations, it is a huge failure to control the sprawl. Hence, city planners and policy makers need to be more efficient in designing the cities to achieve sustainable development goals. For that purpose, adequate and informative data of the urban morphology, growth pattern, sprawl characteristics are required. Geospatial technology is a cost-effective measure and best among currently available techniques for collecting real-time/near real-time geographical data of the entire globe. The geographic information system (GIS) provides numerous tools for assessment of multidimensionality of urban sprawl. This chapter discusses various urban models, different forms of urban expansion, and a few existing methods to quantify sprawl.
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Introduction

Urbanization can be defined as the migration or shifting of rural populations towards the urban areas. The major driving factors for rural to urban transition are industrialization, employment, better standard of living, and social security benefits (Aithal & Ramachandra, 2016; Bhatta, 2009). In the 21st century, urbanization blooms as one of the biggest problems for many developing as well as developed countries all over the world (Jaeger et al., 2010; Muñoz, 2003). It is taking place at an unprecedented scale by creating profound impacts on the environment, economy, as well as the society (Sun et al., 2013). The foreseeable consequences of this process are the unplanned and uncontrolled spatial expansion of urban cores beyond their administrative boundaries in order to accommodate the growing population, which results in scattered patches or fringes (Marshall & Dolley, 2019). The sprawled cities are facing serious issues with respect to basic amenities, such as electricity, water, sewerage channels, transportation, and communication, along with a dramatic increase in pollution, poor health facilities, deteriorating educational standards, unemployment, and poverty. To overcome such issues, urban planners have to understand the dynamics of a particular urban area and the current urbanization process, which will solidify the basis of future predictions and guide in preparedness for urban sustainability (Anas et al., 1998).

There are three popular models for urban development, such as the concentric zone model (Burgess Model), the sector model (Hoyt Model), and the multiple nuclei model (Ullman Harris model). In the concentric zone model-based cities (e.g. Chicago, United State), multiple zones, such as industrial corridors, working-class housing, middle-class housing, and commuter zones with suburbs of higher-income-class housing are usually designed around a central business district (CBD). Whereas, the sector model-based cities (e.g. Sunderland, United Kingdom) are divided into multiple wedge-shaped (not ring shaped) sectors of transportation, industries, and low-medium-high-class residential areas designed around a central circular CBD. In both of these models, the CBD plays a vital role, however, in contrast, a less significant CBD is presented for the multiple nuclei model (e.g. Los Angeles and Houston). Multiple centres attract a particular kind of population, which is imitated by neighbourhood land use. Apart from these conceptual models, different countries develop their own theories and policies for urban development (Figure 1).

Figure 1.

Global trends of urban morphology

978-1-7998-2249-3.ch001.f01

Several studies have been conducted to investigate the spatial heterogeneity and temporal distinctions of urbanizing trends in the small, as well as the megacities of the world collectively, and as individual continents i.e. for Asia (Enqvist et al., 2019, Friedmann & Sorensen, 2019; Masoudi et al., 2019; Lehner et al., 2016; Deuskar et al., 2015; Dutta, 2012; Gupta et al., 2012; Mohammad & Sidaway, 2012; Van Dijk, 2011; Griffiths et al., 2010; Kundu, 2011; 2006), Africa (Murphy & Carmody, 2019; Epstein, 1967; Little, 1960), and Europe, Latin America, the Caribbean, and North America (Dong et al., 2019; González & Medina, 2004). Hackenberg (1980) reported diffused and patchy patterns of urban expansion in South-Asian cities. However, Asian megacities in recent decades are experiencing a faster growth rate than the rest of the developed world. As a result, the peri-urban space around these cities of sprawl is of major concern due to irregular distribution of resources (Marshall & Dolley, 2019). Study of 129 European cities revealed very peculiar findings due to the process of re-urbanization and showed that economically revitalizing cities are experiencing disperse and thin centres with polycentric development (Salvati et al., 2019). On the other hand, smaller cities in Africa are comparatively less compact and more dispersed (Xu et al., 2019) due to physical constraints, poor urban policies, and irrepressible demography leading to sprawled urbanization and reduction in land use efficiency of the cities and their neighbouring area (Todes et al., 2010).

Key Terms in this Chapter

Fringe: A linear corridor of the urbanized patch.

Sprawl: The unplanned and unrestricted growth in urban and peri-urban areas characterized by low-density housing, single LU based zoning, and dependence on private vehicles.

Land Use: Alteration in the natural land cover through anthropogenic means.

Urbanism: Interaction of the city dwellers with their niche in an urban ecosystem.

Sustainable: Fulfilling the requirement of the current population without exploiting the needs of the future generation.

Central Business District: The focal point of a city where most of the commercial activities are concentrated.

Image Classification: Extracting information from the given remotely sensed imagery categorically.

Leapfrog: Development of urban patches beyond the boundary of an existing city/town due to the availability of resources at a significantly lower cost than the city/town.

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