Will the land supply structure affect the urban expansion form?

Xiong, Changsheng; Tan, Rong

doi:10.1016/j.habitatint.2018.04.003

Cited by 36 publications

(17 citation statements)

References 78 publications

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“…The previous research also shows that there are two problems with the evaluation methods of construction land use efficiency. (1) The relationship between the evaluation indicators and construction land use efficiency is not correlated closely enough, and the scientific principle of indicator selection is not reflected [50]. 2The calculation of comprehensive efficiency is only a summary of the three aspects of social, economic, and ecological efficiency, and fails to take into account the relationship between various parts [51,52].…”

Section: The Effects Of Urban Land Use On Urban Trafficmentioning

confidence: 99%

See 1 more Smart Citation

Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China

Gao

et al. 2019

Sustainability

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The implementation of the Beijing, Tianjin, and Hebei coordinated development strategy has seriously increased the influence of land use and urban traffic. Thus, understanding the coordination between urban land and transportation systems is important for the efficient and sustainable development of cities, especially in this rapidly urbanizing era. Urban–industrial land and highway networks are, respectively, primary types of urban land and transportation systems, and have significant impacts on social and economic development. However, limited studies have been conducted to examine the relationships between urban–industrial land and highway networks. Therefore, this paper aims to examine the coupling coordination relationship between urban–industrial land use efficiency, and the accessibility of the highway networks of cities. Specifically, in the context of the Beijing–Tianjin–Hebei (BTH) urban agglomeration, the coupling coordination between urban-industrial land use efficiency and accessibility of the highway traffic network was empirically analyzed. The results show that: (i) The differences in urban-industrial land use efficiency in the BTH region are significant. Capital cities in the BTH urban agglomeration have higher economic, social, and comprehensive efficiency, while in industrial cities, the use of urban–industrial land should prioritize ecological and environmental issues. (ii) Because of its good geographical location Beijing has the best accessibility, with an accessibility index of 1.416, while Qinhuangdao had the lowest accessibility index of 0.039. (iii) In most BTH cities, the urban-industrial comprehensive land use level has fallen behind the highway network development level. The results of this study can provide references for the coordinated development of the BTH urban agglomeration.

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Section: The Effects Of Urban Land Use On Urban Trafficmentioning

confidence: 99%

“…With rapid urbanization and growth of the urban population, urban land supply is under increasing pressure. The land resource supply has become an important factor restricting urban development [1,2]. For most cities around the world, urban sprawl is becoming the main way to ease urban land tensions.…”

Section: Introductionmentioning

confidence: 99%

Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China

Gao

et al. 2019

Sustainability

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“…The narrowing of land will have a direct impact on the volume of production that farmers do in the area. The following shows the land use in Namlea District (Demirbas, 2008;Xiong & Tan, 2018).…”

Section: Resultsmentioning

confidence: 99%

Agricultural Land Conversion and the Influence of the Food Supply Chain

al.¹

2021

pae

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The phenomenon of changing the function of agricultural land in Namlea District becomes a problem when the amount of productive land decreases and has an impact on the availability of land for agricultural production and affects the supply chain of agricultural products to the community. The research was conducted to describe the conversion of agricultural land and its utilization in the Namlea subdistrict. The research site focuses on Namlea District Buru Regency with consideration of the availability of the number of agricultural lands that are less than other districts in the Buru Regency. The number of informants interviewed as many as 40 people consisting of landowners, farmers, business owners, and village apparatus. Analytical techniques used to follow the concept of Miles and Huberman where activities in the analysis of qualitative data are conducted interactively and continuously to find saturation in the data processing. The results showed that the reduction of farmland in Namlea district was due to the conversion of land for various activities including housing and development of the Trade Center. Besides, the use of converted land is caused by the system of personal ownership that is secured by the Government through the right to building or proprietary rights but has not fully set the long-term oriented land utilization pattern.

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“…The SHB area is equipped with three major natural harbors (Shanghai port, Ningbo port, and Yangshan port), providing convenient transportation and business conditions, which can affect urban expansion (Xiao et al., 2018). Industrial structure is also an important factor affecting urban expansion (Xiong & Tan, 2018). In the future, these data will be obtained from relevant government departments and incorporated into the model to obtain more accurate and comprehensive research results.…”

Section: Discussionmentioning

confidence: 99%

Built‐up land expansion simulation with combination of naive Bayes and cellular automaton model—A case study of the Shanghai‐Hangzhou Bay agglomeration

Xiao

Zhang

et al. 2021

Growth and Change

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Simulating and predicting the urban land use change can provide deeper spatial insights into dynamics and sustainable developments of urban planning. This research takes the Shanghai‐Hangzhou Bay (SHB) agglomeration as a study area and selects natural, economic, social, and policy variables as restraint conditions. A cellular automaton (CA) model and the naive Bayes‐cellular automaton (NB‐CA) model are employed and compared to simulate the built‐up land in SHB. Results show that the NB‐CA model greatly improves the simulation accuracy of built‐up land compared to CA model. Specifically, the simulation accuracy of the NB‐CA model is 14.68%, 14.03%, 7.43%, 6.00%, 5.32%, and 2.65% higher than that of the traditional CA model in Shanghai, Hangzhou, Huzhou, Jiaxing, Ningbo, and Shaoxing, respectively. Among the four restraint conditions, the least influential variable is the natural variable and the most influential is the policy variable in Shanghai, Ningbo, and Shaoxing and the social variable in Hangzhou, Huzhou, and Jiaxing. It is the first usage of naive Bayes and CA to simulate built‐up expansion and this new combination method highlights the improvement of simulation accuracy. The naive Bayes technology implies that government policy is an unstable factor that can influence the simulation of built‐up land change. The methodology will be applicable to other regions experiencing rapid built‐up land expansion under government policy.

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Will the land supply structure affect the urban expansion form?

Cited by 36 publications

References 78 publications

Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China

Coupling Coordination Relationships between Urban-industrial Land Use Efficiency and Accessibility of Highway Networks: Evidence from Beijing-Tianjin-Hebei Urban Agglomeration, China

Agricultural Land Conversion and the Influence of the Food Supply Chain

Built‐up land expansion simulation with combination of naive Bayes and cellular automaton model—A case study of the Shanghai‐Hangzhou Bay agglomeration

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