Spatial–Temporal Patterns and Driving Factors of Rapid Urban Land Development in Provincial China: A Case Study of Jiangsu

Yang, Qingke; Duan, Xuejun; Wang, Lei

doi:10.3390/su9122371

Cited by 8 publications

(5 citation statements)

References 36 publications

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“…In terms of space, urban land use efficiency in China is generally high in the east and low in the central and western regions. In the eastern region, there is a phenomenon of high-value agglomeration, and in the central and western regions, there is a pattern of central periphery [36][37][38]. The conclusion of this study also showed that the large-scale expansion and sprawl of the city led to changes in urban spatial structure and affected the input scale of all kinds of land, thus affecting the land use efficiency, leading to an imbalance in land use efficiency in different areas of the city.…”

Section: Discussionmentioning

confidence: 99%

Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China

Huang

Xue

2019

Sustainability

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China’s urban land use has shifted from incremental expansion to inventory eradication. The traditional extensive management mode is difficult to maintain, and the fundamental solution is to improve land use efficiency. Xi’an, the largest central city in Western China, was selected as the research area. The super-efficiency data envelopment analysis (DEA) model and Malmquist index method were used to measure the land use efficiency of each district and county in the city from the micro perspective, and the spatial-temporal change characteristics and main influencing factors of land use efficiency were analyzed, which not only made up for the research content of urban land use efficiency in China’s underdeveloped areas, but also pointed out the emphasis and direction for the improvement of urban land use efficiency. The results showed that: (1) The land use efficiency of Xi’an reflected the land use intensive level of the underdeveloped areas in Western China, that is, the overall intensive level was not high, the gap between the urban internal land use efficiency was large, the land use efficiency of the old urban area and the mature built-up area was relatively high, and the land use efficiency of the emerging expansion area and the edge area was relatively low. (2) Like the eastern economically developed areas, the land use efficiency of western economically underdeveloped areas was generally on the rise, while Xi’an showed the U-shaped upward evolution characteristics, and there were four types of changes in the city, that is, highly intensive, medium intensive, high–medium–low-intensive, and intensive–extensive. (3) Various cities should configure resources and optimize mechanism to improve their land use efficiency based on economic and social development. During the study period, Xi’an showed the law of evolution from the south edge area and the emerging expansion area to the main urban area. (4) The improvement of technological progress was the main contribution factor of the land use efficiency in underdeveloped areas of China, and the low-scale efficiency was the main influence factor that caused low land use efficiency. In future urban land use, efforts should be made to optimize and upgrade technology and strictly control the extensive use of land.

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Section: Discussionmentioning

confidence: 99%

Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China

Huang

Xue

2019

Sustainability

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“…When projections are made in 2032 based on existing trends, settlements will experience an increase in area almost three times greater than the previous period. The increase in population is not only the main factor in changing other land cover into residential areas but is also related to urbanization [18]. Settlements continue to experience an increase in area from other land cover conversions, which have a massive impact on the expansion of urban areas in the region [19-[20].…”

Section: Land Cover Change: a Reviewmentioning

confidence: 99%

Monitoring Land Surface Temperature in the Karajae Watershed as an influential ecosystem for Pare-Pare City

Chairil,

Nursaputra,

Ramdani

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Temperature is an indicator that is often used to assess environmental conditions in an area because it affects food and air resources, hydrology, and all ecosystems on earth. Monitoring the temperature conditions of an area is also carried out from time to time to see trends that occur. Land surface temperature monitoring using remote sensing which has spatial resolution, temporal resolution, and spectral resolution. Monitoring is only in urban areas without looking at the surrounding conditions. However, temperature is influenced by several factors such as geographic location, position relative to the sun, altitude, and biophysical conditions such as land. This study looks at changes in land surface temperature in the Karajae watershed area as an ecosystem that affects urban areas, Pare-Pare City or vice versa. Analysis of land surface temperature monitoring using remote sensing methods in the form of multi-temporal Landsat Imagery data 2004-2021. The land image displays changes in land surface temperature with a single channel algorithm. In addition, land images are the basis for analyzing land cover changes which are the basis for estimating land surface temperature changes with normalized fractional vegetation cover relationships. The results show that changes in land cover must occur, which are estimated to be twice as large in the future. Settlements have experienced a very large increase in area, while the closure of forest land and dry agricultural land has experienced a reduction in area which will cause disruption to ecosystems and food. The trend of increasing land surface temperature continues to increase every period. The increase in settlements as built-up land, rice fields, dry land agriculture as a form of community activity causes an increase in land surface temperature. In addition, agricultural activities have an influence on increasing land surface temperatures in vegetated land cover. Indirectly, the city of Pare-Pare has an impact on increasing land surface temperatures in the upstream area of the Karajae watershed. This is a concern in the future, if urban activities, transportation, to industrial activities are much faster, and will cause a greater increase in land surface temperature.

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“…Natural factors are mainly topographic conditions, such as elevation and slope [21,24,28,[33][34][35], that restrict urban land development. Socioeconomic factors include population [21,[34][35][36][37][38], GDP [34,[36][37][38][39], urbanization rate [40,41], fixed-asset investment [34,38,42], foreign direct investment [36,43], and urban wages or disposable income [33,34,36,39,42]. Infrastructure factors are mainly traffic conditions [38,42].…”

Section: Literature Reviewmentioning

confidence: 99%

Spatial Econometric Analysis of the Relationship between Urban Land and Regional Economic Development in the Beijing–Tianjin–Hebei Coordinated Development Region

et al. 2020

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Against the background of coordinated development of the Beijing–Tianjin–Hebei region, it is of great significance to quantitatively reveal the contribution rate of the influencing factors of urban land for optimizing the layout of urban land across regions and innovating the inter-regional urban land supply linkage. However, the interaction effects and spatial effects decomposition have not been well investigated in the existing research studies on this topic. In this study, based on the cross-sectional data in 2015 and using the spatial lag model, spatial error model and spatial Durbin model, we analyzed the relationship between urban land and regional economic development at the county level in the Beijing–Tianjin–Hebei region. The results show that: (1) there are endogenous interaction effects of urban land, and the growth of urban land in a county will drive the corresponding growth of urban land in neighboring counties; (2) the local population, average wages, highway mileage density, and actual utilization of foreign capital have positive effects on the scale of urban land in local and neighboring counties; local GDP in the secondary/tertiary sector and the urbanization rate have positive effects on local urban land scale, but negative effects on the urban land scale of neighboring counties; (3) the contribution degree of the direct effect is ranked as follows: GDP in the secondary/tertiary sector > total population > urbanization rate. The order of factors with a significant spatial spillover effect on the scale of urban land in neighboring counties is as follows: average wages > total population > highway mileage density. The GDP in secondary/tertiary sector, population, and urbanization rate are the main influencing factors for the scale of urban land at the county level in the Beijing–Tianjin–Hebei region. It is an important finding that average wages are the most prominent among the spatial spillovers. We should attach importance to the spillover effect of geographic space and construct an urban spatial pattern coordinated with economic development.

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Spatial–Temporal Patterns and Driving Factors of Rapid Urban Land Development in Provincial China: A Case Study of Jiangsu

Cited by 8 publications

References 36 publications

Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China

Study on Temporal and Spatial Variation Characteristics and Influencing Factors of Land Use Efficiency in Xi’an, China

Monitoring Land Surface Temperature in the Karajae Watershed as an influential ecosystem for Pare-Pare City

Spatial Econometric Analysis of the Relationship between Urban Land and Regional Economic Development in the Beijing–Tianjin–Hebei Coordinated Development Region

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