Journey-to-Work Patterns in the Age of Sprawl: Evidence from Two Midsize Southern Metropolitan Areas*

Sultana, Selima; Weber, Joe

doi:10.1111/j.1467-9272.2007.00607.x

Cited by 120 publications

(74 citation statements)

References 53 publications

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“…Congestion, in turn, has led to the emergence of polycentrism to sustain continuous growth. In fact, polycentrism may emerge from urban sprawl, as has been documented for most large urban areas (see Giuliano and Small 1991;Sultana 2000;Sultana and Weber 2007, for specific examples), and can be thought of as a response to increasing costs associated with the nonlinear scaling of urban network (Horner 2004).…”

Section: Implications Of the Modelmentioning

confidence: 99%

Cities as Organisms: Allometric Scaling of Urban Road Networks

Samaniego

Moses²

2008

JTLU

158

141

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Just as the cardiovascular network distributes energy and materials to cells in an organism, urban road networks distribute energy, materials and people to locations in cities. Understanding the topology of urban networks that connect people and places leads to insights into how cities are organized. is paper proposes a statistical approach to determine features of urban road networks that affect accessibility. Statistics of road networks and traffic patterns across 425 U.S. cities show that urban road networks are much less centralized than biological vascular networks. As a result, per capita road capacity is independent of the spatial extent of cities. In contrast, driving distances depend on city area, although not as much as is predicted by a completely centralized model. is intermediate pattern between centralized and decentralized extremes may reflect a mixture of different travel behaviors. e approach presented here offers a novel macroscopic perspective on the differences between small and large cities and on how road infrastructure and traffic might change as cities grow.

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Section: Implications Of the Modelmentioning

confidence: 99%

Cities as Organisms: Allometric Scaling of Urban Road Networks

Samaniego

Moses²

2008

JTLU

158

141

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“…Accessibility is a related issue (Ewing 1997;Sultana and Weber 2007). Suburban households in the US drive more per year, on average, than those in central cities (HUD 1999).…”

Section: Introductionmentioning

confidence: 99%

A Toolkit for Measuring Sprawl

Torrens

2008

Appl. Spatial Analysis

206

163

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Debate regarding suburban sprawl in urban studies is contentious. It is fair to say that the phenomenon is not fully understood to satisfaction in the academic, policy, or planning communities and there are a host of reasons why this may be the case. Characterization of sprawl in the literature is often narrative and subjective. Measurement is piecemeal and largely data-driven. Existing studies yield contrary results for the same cities in many cases. The partial appreciation for the intricacies of sprawl is problematic. In practice, city planning agencies and citizen advocacy groups are scrambling to suggest and develop "smart growth" strategies to curb sprawl, without a strong empirical basis for measuring the phenomenon. Yet, sprawl is extremely popular with consumers. In this paper, we develop an innovative approach to diagnosing sprawl, looking across the full range of its characteristic attributes in a comprehensive fashion that is robust to some well-known challenges. This proves to be very useful in sweeping the parameter space of the phenomenon, enabling the visualization and valuation of sprawl surfaces across attributes, allowing us to check the pulse of a developing city. We apply the work to Austin, TX, a controversial exemplar of American sprawl, with the surprising result that sprawl and "smart growth" are found to co-exist and co-evolve. This raises questions about relationships between the two, with consequences for planning and public policy.

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“…Traditional approaches have also been deployed in exploring spatial behaviour such as by Fotheringham (1983), who introduced the competing destinations models. Some authors have studied the choice of residence in relation to JTW (Aitken & Fik, 1988;Sultana & Weber, 2007) and the spatial distribution of homes in relation to the place of work (Harris & Bloomfield, 1997). A more recent advance is the application of circular statistics by Corcoran et al (2009a) to overcome some of the shortcomings associated with traditional cartographic methods of mapping flow data.…”

Section: Literature Reviewmentioning

confidence: 99%

Modelling Journey to Work Patterns in South East Queensland, Australia

Chhetri¹,

Odgers²,

Kiwan³

et al. 2014

JGG

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Journey to Work (JTW) describes the transportation mode used by an individual to travel from home to work. The paper analyses and models the spatial patterns of JTW. Using South East Queensland -a large conurbation and a popular destination for seachange, this study examined the aggregate JTW census data to capture travel to work patterns and the contextual factors that underpin different transportation modes. The results show heavy reliance on private cars to commute to work. Employment concentration, accessibility to the CBD and the number of bus stops per square kilometre all have a positive impact on public transport users; while the proportion of industrial land use to total zoned land elicits a negative impact on public transport users. These

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Journey-to-Work Patterns in the Age of Sprawl: Evidence from Two Midsize Southern Metropolitan Areas*

Cited by 120 publications

References 53 publications

Cities as Organisms: Allometric Scaling of Urban Road Networks

Cities as Organisms: Allometric Scaling of Urban Road Networks

A Toolkit for Measuring Sprawl

Modelling Journey to Work Patterns in South East Queensland, Australia

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