Urban growth pattern and commuting efficiency: Empirical evidence from 100 Chinese cities

Rao, Yingxue; Yang, Jixin; Dai, Deyi; Kai-song, WU; He, Qingsong

doi:10.1016/j.jclepro.2021.126994

Cited by 22 publications

(10 citation statements)

References 52 publications

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“…For future urban development, the gap between diffusional patches and original urban patches is the main place for future urban expansion and development, which is crucial for shaping and optimizing future urban form. Since urban form is associated with air quality [32], urban commuting [33], and spatial vitality [34] and so on, accurate simulation of the pattern and process of diffusional expansion patches can help decision makers to better formulate and optimize future urban form to achieve sustainable development. By further using MaxEnt-CSCA to predict and simulate the built-up landscape of Luoyang in 2035, it was found that the main urban area will continue to experience rapid urbanization, and future urban expansion will mainly occur in Luolong District and the counties surrounding it.…”

Section: Discussionmentioning

confidence: 99%

Urban Land Expansion Simulation Considering the Diffusional and Aggregated Growth Simultaneously: A Case Study of Luoyang City

Wang

et al. 2021

Sustainability

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Restricted by urban development stages, natural conditions, urban form and structure, diffusional growth occupies a large proportion of area in many cities. Traditional cellular automata (CA) has been widely applied in urban growth studies because it can simulate complex system evolution with simple rules. However, due to the limitation of neighborhood conditions, it is insufficient for simulating urban diffusional growth process. A maximum entropy mode was used to estimate three layers of probability spaces: the probability layer of cell transformation from non-urban status to urban status (PLCT), the probability layer for aggregated growth (PLAP), and the probability layer for diffusional growth (PLOP). At the same time, a maxent category selected CA model (MaxEnt-CSCA) was designed to simulate aggregated and diffusional urban expansion processes simultaneously. Luoyang City, with a large proportion of diffusional urban expansion (65.29% in 2009–2018), was used to test the effectiveness of MaxEnt-CSCA. The results showed that: (1) MaxEnt-CSCA accurately simulated aggregated growth of 47.40% and diffusional growth of 37.13% in Luoyang from 2009 to 2018, and the overall Kappa coefficient was 0.78; (2) The prediction results for 2035 showed that future urban expansion will mainly take place in Luolong District and the counties around the main urban area, and the distribution pattern of Luolong District will change from the relative diffusion state to the aggregation stage. This paper also discusses the applicable areas of MaxEnt-CSCA and illustrates the importance of selecting an appropriate urban expansion model in a region with a large amount of diffusional growth.

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Section: Discussionmentioning

confidence: 99%

Urban Land Expansion Simulation Considering the Diffusional and Aggregated Growth Simultaneously: A Case Study of Luoyang City

Wang

et al. 2021

Sustainability

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“…The travel distance of residents may be more affected by the spatial distance between their dwellings and the potential travel destinations [ 22 ]. In addition, the city size determines the scope of urban residents’ activities [ 20 ]. Therefore, the spatial distance to the potential travel destination increases with the city size, resulting in an increase in the travel cost for urban residents.…”

Section: Research Hypothesesmentioning

confidence: 99%

“…The study found that city size was significantly negatively correlated with urban commuting efficiency. The larger the urban built-up area, the longer commute time and commute distance [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

How Does City Size Affect the Cost of Household Travel? Evidence from an Urban Household Survey in China

2022

IJERPH

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Travel costs are critical to the sustainable development of cities. This paper used Urban Household Survey (UHS) data from 2002 to 2014 and constructed a comprehensive city-size index from the perspectives of population and urban space to empirically test the impact of city size on the cost of household travel. The main results are as follows: (1) There is a significant positive correlation between city size and the cost of household travel. The internal mechanism is that city size affects the cost of household travel by increasing spatial distance and traffic congestion. (2) Increasing public transportation and per capita road area can restrain the positive impact of city size on the cost of household travel; moreover, the restraining effect of public transportation is stronger than that of per capita road area. (3) The impact of city size on the cost of household travel for sub-provincial cities is smaller than that for ordinary prefecture-level cities; in addition, there is an inverted U-shaped relationship between city size and the cost of household travel. This paper deepens the understanding of the impact of city size on travel costs, providing research support for the healthy development of cities in China.

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“…All landscape expansion progress could be regarded as an integration of the three types (Forman, 1995;Ellman, 1997). Since Liu et al (2010) proposed the landscape expansion index (LEI), numerous studies have used this index to identify the landscape expansion types in different regions, such as Wuhan and Beijing (Rao et al, 2021;Tu et al, 2021). By referencing studies related to landscape expansion, cropland expansion trajectories can also be subdivided into three trajectories, namely, infilling, edgeexpansion, and outlying trajectories.…”

Section: Identifying Cropland Expansion Trajectoriesmentioning

confidence: 99%

How Does Different Cropland Expansion Trajectories Affect Cropland Fragmentation? Insights From Three Urban Agglomerations in Yangtze River Economic Belt, China

et al. 2022

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A clear understanding of cropland expansion dynamics and their effects is vital for cropland protection and food security. However, the trajectories of cropland expansion have been less discussed. This study referred to the modes of landscape expansion and assessed the cropland expansion trajectory in three urban agglomerations in the Yangtze River Economic Belt and its impact on cropland fragmentation. Specifically, we identified three cropland expansion trajectories using the landscape expansion index, namely, infilling, edge-expansion, and outlying. Moreover, the surface relief amplitude model was employed to characterize the relief amplitude effect on cropland expansion trajectories. By coupling landscape metrics (e.g., patch density, landscape shape index, the largest patch index, and aggregation index) and Spearman correlation analysis, the relationship between cropland expansion trajectories and cropland fragmentation was assessed. Results show that (1) three urban agglomerations experience cropland expansion, in which the edge-expansion trajectory is primary, followed by infilling and outlying trajectories; (2) the cumulative frequency curve indicates that infilling and edge-expansion trajectories are likely to be distributed in low topographic relief amplitude regions, while the outlying trajectory is located in relatively higher topographic relief amplitude regions; and (3) infilling and edge-expansion trajectories contribute to a significantly positive relationship with the decrease of cropland fragmentation, while the outlying trajectory has a negative relationship with cropland fragmentation. This research highlights that cropland protection policies should considerably focus on the trajectory of cropland expansion, not only request the total area of cropland in a dynamic balance.

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Urban growth pattern and commuting efficiency: Empirical evidence from 100 Chinese cities

Cited by 22 publications

References 52 publications

Urban Land Expansion Simulation Considering the Diffusional and Aggregated Growth Simultaneously: A Case Study of Luoyang City

Urban Land Expansion Simulation Considering the Diffusional and Aggregated Growth Simultaneously: A Case Study of Luoyang City

How Does City Size Affect the Cost of Household Travel? Evidence from an Urban Household Survey in China

How Does Different Cropland Expansion Trajectories Affect Cropland Fragmentation? Insights From Three Urban Agglomerations in Yangtze River Economic Belt, China

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