Revisiting the Relationship between Urban Form and Excess Commuting in US Metropolitan Areas

Ha, Jaehyun; Lee, Sugie; Kwon, Sung Moon

doi:10.1177/0739456x18787886

Cited by 14 publications

(10 citation statements)

References 42 publications

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“…However, there is still debate on this issue. Opponents of polycentric development argue that polycentric urban development will further exacerbate the spatial separation of jobs and residences, increase the tendency to cross-commute, and make it easier for residents to choose private cars as a mode of travel (Ha et al, 2021). Therefore, a more detailed and meticulous analysis of this issue will be an important direction for future research.…”

Section: Discussionmentioning

confidence: 99%

Carbon Emission Characteristics and Reduction Pathways of Urban Household in China

Liu²,

Zuo³

2022

Front. Environ. Sci.

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With China’s rapid urbanization and rising living standards, the household sector has become the second largest contributor to urban carbon emissions and important pathway to achieve China’s carbon reduction targets. Based on data of Chinese Residential Energy Consumption Survey in 2014, this paper establishes standard households in 54 cities to identify the carbon emission characteristics and explores the emission reduction paths of urban households. We present evidence that rich households tend to increase their use of clean energy, low-income households will not completely abandon inferior energy because of their usage habits and costs and they always live in suburban areas and urban villages. Cities with high household carbon emissions are almost located in north of Huai River/Qinling Mountains line, while cities with low carbon emissions are mostly located around the line and which are mainly on the south side. Monocentric urban development patterns and frigid climates are easy to increase higher household carbon emissions. In this regard, policy makers should help low-income households to escape from inferior energy dependence, encourage the use of new energy vehicles and green housing technologies, introduce a two-part pricing system for central heating services and maintain relative balance of residential and public resources in urban planning.

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Section: Discussionmentioning

confidence: 99%

Carbon Emission Characteristics and Reduction Pathways of Urban Household in China

Liu²,

Zuo³

2022

Front. Environ. Sci.

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“…Future work should include more elements to measure the utility of commuting. Finally, we can conduct enhanced comparative metrics, which can allow for analyses across different cities to identify global and local determinants or contributors for commuting efficiency and/or commuting equity (Ha et al., 2018; Jun et al., 2018).…”

Section: Discussionmentioning

confidence: 99%

“…Jun et al. (2018) and Ha et al. (2018) investigated the relationship between urban form (or spatial structure) and excess commuting in a comparative fashion.…”

Section: Literature Reviewmentioning

confidence: 99%

A novel excess commuting framework: Considering commuting efficiency and equity simultaneously

Zhang¹,

Zhang

Zhou

2019

Environment and Planning B: Urban Analytics and City Science

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Excess commuting, which concerns the differences between the actual commute and the optimal (minimum) commute afforded by a given distribution of jobs and housing, i.e., urban form, has been extensively studied across disciplines. In the existing excess commuting framework, the optimal commute considers commuting efficiency but overlooks commuting equity, which is defined as the variation in commuting cost across workers before and after the optimisation. The framework also overlooks the variation in commuting frequency across workers for a period of interest, which also affects the overall commuting cost for the period. In this paper, we propose a novel excess commuting framework using a Greedy-Initialisation-based Genetic Algorithm, where the optimal commute accounts for commuting efficiency and equity and commuting-frequency variation simultaneously. We illustrate and calibrate the framework using one-month metro smart card data in Shanghai. Comparing with two other existing models, the Greedy-Initialisation-based Genetic Algorithm can generate a commuting pattern that balances commuting efficiency and commuting equity, which the existing commuting framework and corresponding algorithms cannot.

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“…Giménez et al [61] analysed excess commuting for the self-employed versus the employed and found that employees commuted for twelve more minutes per day. Ha et al [62] utilised multi-dimensional indices to examine excess commuting pattern in 206 metropolitan areas of the United States. They revealed that a highly centralised city would reduce the excess commuting of workers.…”

Section: Excess Commutingmentioning

confidence: 99%

Understanding the Spatial Effects of Unaffordable Housing Using the Commuting Patterns of Workers in the New Zealand Integrated Data Infrastructure

Xiong

Cheung

Filippova

2021

IJGI

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Commuting behaviour has been intensively examined by geographers, urban planners, and transportation researchers, but little is known about how commuting behaviour is spatially linked with the job and housing markets in urban cities. New Zealand has been recognised as one of the countries having the most unaffordable housing over the past decade. A group of middle-class professionals called ‘key workers’, also known during the pandemic as ‘essential workers’, provide essential services for the community, but cannot afford to live near their workplaces due to a lack of affordable housing. As a result, these key workers incur significant sub-optimal commuting. Such job-housing imbalance has contributed to a so-called spatial mismatch problem. This study aims to visualise the excess commuting patterns of individual workers using the Integrated Data Infrastructure (IDI) from Statistics New Zealand. The visualisation suggests that over the last demi-decade, housing unaffordability has partially distorted the commuting patterns of key workers in Auckland. More of the working population, in particular those key workers, are displaced to the outer rings of the city. While there is an overall reduction in excess commuting across three groups of workers, key workers remain the working population with a disproportionate long excess commute.

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Revisiting the Relationship between Urban Form and Excess Commuting in US Metropolitan Areas

Cited by 14 publications

References 42 publications

Carbon Emission Characteristics and Reduction Pathways of Urban Household in China

Carbon Emission Characteristics and Reduction Pathways of Urban Household in China

A novel excess commuting framework: Considering commuting efficiency and equity simultaneously

Understanding the Spatial Effects of Unaffordable Housing Using the Commuting Patterns of Workers in the New Zealand Integrated Data Infrastructure

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