Effects of Urban Growth Controls on Intercity Commuting

Ogura, Laudo M.

doi:10.1177/0042098009356126

Cited by 21 publications

(10 citation statements)

References 33 publications

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“…Yet these measures, designed for one scale, can have consequences at other scales. If urban sprawl is restricted to a particular radius, workers may further increase their commuting distance by going to live in another city, thereby promoting interurban travel (Appert, 2004;Ogura, 2010). Unless these commuting distances are covered by public transport, the consequences in terms of CO2 emissions would seem more negative than positive.…”

Section: Introductionmentioning

confidence: 99%

Modal shift and interurban mobility: Environmentally positive, socially regressive

Conti

2018

Journal of Transport Geography

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Section: Introductionmentioning

confidence: 99%

Modal shift and interurban mobility: Environmentally positive, socially regressive

Conti

2018

Journal of Transport Geography

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“…Kim et al (2019) have mentioned that the effectiveness of a greenbelt strategy is controversial due to its different effects. Some researchers have claimed that the proper strategies in greenbelt planning can result in sprawl restriction (Amati and Yokohari 2006; Woo and Guldmann 2011), while other researchers have noted that the unsuitable greenbelt strategies can encourage leapfrog development (Jun and Hur 2001;Dawkins and Nelson 2002;Bae and Jun 2003;Ogura 2010). In any way, the present study attempted to propose suitable strategies to define an optimal plan of greenbelt based on the past changes and the future probabilities.…”

Section: Developing Key Strategies For Greenbelt Planning In Mashhadmentioning

confidence: 94%

Strategic spatial analysis of urban greenbelt plans in Mashhad city, Iran

Kardani-Yazd

Daneshvar³

2019

Environ Syst Res

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Background: Greenbelt, known as the most restrictive form of urban containment policy, is a geographical boundary around a city or urban region to prevent urban sprawl. In the present study, the urban greenbelt plans were investigated with spatial, temporal, and statistical attitudes in Mashhad city, Iran. Spatial and temporal data analyses were carried out in ENVI, and GIS programs based on satellite imageries in addition to the expert analyzes of SWOT (strengths, weaknesses, opportunities, and threats) and QSPM (quantitative strategic planning matrix) matrixes to achieve the key strategies concerning the revitalization of a new greenbelt plan. Results: Four temporal sequences of Landsat imageries were extracted for 1988, 1998, 2008, and 2018 to classify the expansion of real estates and urban sprawl. The results showed that the legal greenbelt plan failed after 10 years because the status of greenbelt in 2018 revealed nearly of occupation by sprawl expansion over than 20%. Then a new greenbelt plan was proposed around the city. Based on the lowest value of the environmental change index (ΔY i), with an average of 0.14, the proposed greenbelt plan will demonstrate an optimum efficiency in the future time intervals (2030-2050). Conclusions: Therefore, expert analyzes of SWOT and QSPM matrixes were shown that the essential weakness of greenbelt planning in the Mashhad city depends on the lack of a legal mechanism to conserve the greenbelt boundaries. Therefore, the total sum score of external factor's matrix with the value of 2.65 demonstrated that the opportunities for greenbelt planning in the study area are more effective than threats in the study area. Ultimately, six key strategies in greenbelt planning were presented to achieve a general equilibrium through future urban development.

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“…Gravity models and distance-decay functions have been applied to a wide range of research fields, from the analysis of social phenomena [69,70] to biology and environmental science [71-73], international trade [74,75] urban planning [76] and commuting [67,77,78]. In the field of health and health-care, gravity-type models have been used to build accessibility measures and study spatial accessibility to primary care [79], or to deepen the spatial-temporal dynamics of epidemics in inland towns and coastal cities in England and Wales [80].…”

Section: Methodsmentioning

confidence: 99%

Gravity models to classify commuting vs. resident workers. An application to the analysis of residential risk in a contaminated area

et al. 2011

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BackgroundThe analysis of risk for the population residing and/or working in contaminated areas raises the topic of commuting. In fact, especially in contaminated areas, commuting groups are likely to be subject to lower exposure than residents. Only very recently environmental epidemiology has started considering the role of commuting as a differential source of exposure in contaminated areas. In order to improve the categorization of groups, this paper applies a gravitational model to the analysis of residential risk for workers in the Gela petrochemical complex, which began life in the early 60s in the municipality of Gela (Sicily, Italy) and is the main source of industrial pollution in the local area.ResultsA logistic regression model is implemented to measure the capacity of Gela "central location" to attract commuting flows from other sites. Drawing from gravity models, the proposed methodology: a) defines the probability of finding commuters from municipalities outside Gela as a function of the origin's "economic mass" and of its distance from each destination; b) establishes "commuting thresholds" relative to the origin's mass. The analysis includes 367 out of the 390 Sicilian municipalities. Results are applied to define "commuters" and "residents" within the cohort of petrochemical workers. The study population is composed of 5,627 workers. Different categories of residence in Gela are compared calculating Mortality Rate Ratios for lung cancer through a Poisson regression model, controlling for age and calendar period. The mobility model correctly classifies almost 90% of observations. Its application to the mortality analysis confirms a major risk for lung cancer associated with residence in Gela.ConclusionsCommuting is a critical aspect of the health-environment relationship in contaminated areas. The proposed methodology can be replicated to different contexts when residential information is lacking or unreliable; however, a careful consideration of the territorial characteristics ("insularity" and its impact on transportation time and costs, in our case) is suggested when specifying the area of application for the mobility analysis.

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Effects of Urban Growth Controls on Intercity Commuting

Cited by 21 publications

References 33 publications

Modal shift and interurban mobility: Environmentally positive, socially regressive

Modal shift and interurban mobility: Environmentally positive, socially regressive

Strategic spatial analysis of urban greenbelt plans in Mashhad city, Iran

Gravity models to classify commuting vs. resident workers. An application to the analysis of residential risk in a contaminated area

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