Journal of Geographical Sciences >
Rural settlement spatial patterns and effects:Road traffic accessibility and geographic factors in Guangdong Province, China
Author: Yang Ren (1984-), PhD and Associate Professor, specialized in rural geography and land science. E-mail: yangren0514@163.com
Received date: 2018-01-22
Accepted date: 2018-03-26
Online published: 2019-02-25
Supported by
National Natural Science Foundation of China, No.41401190, No.41871177, No.41801088
Science and Technology Program of Guangzhou, China, No.201707010097
Copyright
Based on land use classification data of remote sensing images, using kernel density, the minimal cumulative resistance model of road traffic accessibility, and a logistic regression model, the characteristics of the spatial pattern and the main factors influencing it were quantitatively examined in Guangdong Province from 1990 to 2013. The framework of the research concerning rural settlement evolution and its effect mechanisms were also discussed and generalized for the future. The results are as follows: (1) The spatial distribution of rural settlements showed spatial directivity of low altitude, low slope, and adjacent to rivers, as well as to villages and towns; thus a special pattern was formed, which was dense on the plains, sparse in mountainous areas, and included two core high density regions of rural settlements in the Chaoshan plain in the east and the Zhanjiang plain tableland region in the west. The spatial distribution of rural settlements was located along the rivers, valleys, and roads with traffic in the mountainous regions surrounding the Pearl River Delta region. (2) In addition to the spatial orientation of the open road, it was important to show that the accessibility of road traffic to the township has had the greatest influence on the spatial distribution of the rural settlements. The connected transport network between towns and villages is significant for rural transformation as a comprehensive increase in township production and service capacity will be the key to optimizing the town-village system in rural areas. (3) Elevation and slope were two basic but influential factors that have affected the distribution, scale, and form of rural settlements. The attributes of the physical geography are the first elements in optimizing village layout and planning spatial reconstruction. (4) In the current Internet and social media era, the reconstruction of market network system orders connects with the global market network system in rural areas. The rural life service circle will be constructed with the township at its core to explore the theory and practice of spatial reconstruction, including its production, life and ecology, and socio-cultural heritage and protection. It will also allow for exploration of the rural settlements’ evolution, rural spatial production, rural social networks, group behavior, social autonomy, and social and cultural fields, which will be the core focus of China’s rural spatial reconstruction research against a background of globalization.
YANG Ren , XU Qian , XU Xuanfang , CHEN Yanchun . Rural settlement spatial patterns and effects:Road traffic accessibility and geographic factors in Guangdong Province, China[J]. Journal of Geographical Sciences, 2019 , 29(2) : 213 -230 . DOI: 10.1007/s11442-019-1593-2
Figure 1 The spatial pattern of rural settlement kernel density in Guangdong Province from 1900 to 2013 |
Figure 2 The change rate of the rural settlement kernel density in Guangdong Province from 1900 to 2013 |
Figure 3 The spatial distribution of road traffic accessibility resistance values to prefecture-level cities (a), counties (b), and towns (c) in Guangdong Province in 2012 |
Table 1 Rural settlements in different zones of road traffic accessibility resistance values to prefecture-level cities, counties, and towns in Guangdong Province in 2013 |
Resistance value to prefecture-level cities(×104) | Number | Percentage (%) | Area (ha) | Percentage (%) | Resistance value to counties (×104) | Number | Percentage (%) | Area | Percentage (%) |
---|---|---|---|---|---|---|---|---|---|
(ha) | |||||||||
<20 | 123183 | 24.81 | 282599.8 | 39.46 | <10 | 153337 | 30.87 | 315588.46 | 44.06 |
20-30 | 124256 | 25.02 | 165219.2 | 23.07 | 10-15 | 162224 | 32.66 | 215535.62 | 30.09 |
30-40 | 106480 | 21.44 | 128698.7 | 17.97 | 15-20 | 110236 | 22.19 | 116102.82 | 16.21 |
40-50 | 80260 | 16.16 | 72256.98 | 10.09 | 20-25 | 56121 | 11.3 | 54703.57 | 7.64 |
>50 | 62419 | 12.57 | 67383.22 | 9.41 | >25 | 14863 | 2.99 | 14355.27 | 2 |
Resistance value to towns (×104) | Number | Percentage (%) | Area (ha) | Percentage (%) | |||||
<4.5 | 236972 | 47.58 | 342533.842 | 47.62 | |||||
4.5-9.0 | 183301 | 36.81 | 267395.335 | 37.18 | |||||
9.0-13.5 | 59388 | 11.93 | 86747.7314 | 12.06 | |||||
13.5-18.0 | 14326 | 2.88 | 17894.74635 | 2.49 | |||||
>18.0 | 4013 | 0.81 | 4669.517706 | 0.65 |
Figure 4 The spatial patterns of the major physical geographical factors in Guangdong Province |
Table 2 Rural settlements in different zones of elevation and slope in Guangdong Province in 2013 |
Elevation (m) | Number | Percentage (%) | Area (ha) | Percentage (%) | Slope (°) | Number | Percentage (%) | Area (ha) | Percentage (%) |
---|---|---|---|---|---|---|---|---|---|
<100 | 279634 | 55.99 | 562847.5 | 77.74 | <5 | 194421 | 38.93 | 382235.6 | 52.82 |
100-300 | 167842 | 33.61 | 130262.92 | 17.99 | 5-10 | 145839 | 29.2 | 214827.7 | 29.69 |
300-500 | 38177 | 7.64 | 22833.94 | 3.15 | 10-15 | 75585 | 15.14 | 73520.49 | 10.16 |
500-700 | 11064 | 2.22 | 6315.56 | 0.87 | 15-25 | 65703 | 13.16 | 43263.33 | 5.98 |
>700 | 2707 | 0.54 | 1396.14 | 0.19 | >25 | 17852 | 3.57 | 9801.06 | 1.35 |
Table 3 Rural settlements in different zones of the distance from main rivers and temperature in Guangdong Province in 2013 |
Distance (km) | Number | Percentage (%) | Area (ha) | Percentage (%) | Annual average temperature (°C) | Number | Percentage (%) | Area (ha) | Percentage (%) |
---|---|---|---|---|---|---|---|---|---|
<10 | 262033 | 52.60 | 386671.2 | 53.40489 | <16 | 4637 | 0.93 | 3337.59 | 0.47 |
10-20 | 149341 | 29.98 | 179346.4 | 24.77033 | 16-17 | 49352 | 9.92 | 46745.21 | 6.51 |
20-30 | 72714 | 14.60 | 107934.2 | 14.90727 | 17-18 | 152311 | 30.62 | 126434.36 | 17.62 |
30-40 | 8093 | 1.62 | 20802.5 | 2.873127 | 18-19 | 175543 | 35.29 | 286322.48 | 39.90 |
>40 | 5979 | 1.20 | 24857.18 | 3.433137 | >19 | 115614 | 23.24 | 254841.83 | 35.51 |
Figure 5 The research framework of rural settlements’ spatial distribution, evolution, and reconstruction against the background of rural spatial diversity transformation in China |
The authors have declared that no competing interests exist.
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