Two for the Road: Measuring Regional Disparity and Agglomeration in Human Development Level and Transportation Infrastructure
As the core element of social-economic development in the Qinghai-Tibet Plateau, transportation dramatically shapes the scale, type, and intensity of human activities. First, this study utilizes night light data and kilometer-grid population data to construct night light development index (NLDI) and...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/9975318 |
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| _version_ | 1832563074245066752 |
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| author | Zhiheng Wang Tao Xing Daikun Wang Hongkui Fan Dongchuan Wang Yanwang Wu Qiaozhen Guo Lina Xiu |
| author_facet | Zhiheng Wang Tao Xing Daikun Wang Hongkui Fan Dongchuan Wang Yanwang Wu Qiaozhen Guo Lina Xiu |
| author_sort | Zhiheng Wang |
| collection | DOAJ |
| description | As the core element of social-economic development in the Qinghai-Tibet Plateau, transportation dramatically shapes the scale, type, and intensity of human activities. First, this study utilizes night light data and kilometer-grid population data to construct night light development index (NLDI) and to evaluate the human development level at the county scale. Then, based on the complex transportation infrastructure data, the weight assignment method is adopted to create transportation infrastructure influence degree (TIID), which is used to evaluate the location conditions of the counties. Finally, bivariate spatial autocorrelation is utilized to analyze the effect of regional conditions on the county-level human development variation. The results show that (1) NLDI is verified to assess differences in the level of human development among counties in Qinghai-Tibet Plateau and to overcome the difficulties of systematically and integrally obtaining socio-economic statistical data. The pattern of human development level in Qinghai-Tibet Plateau presents a “core-periphery” spatial structure with the transportation network as the axis. (2) On the whole, with the improvement of location conditions influenced by transportation infrastructure, the spatial aggregation of human development level is constantly improving, and the spatial disparity continues to decrease. (3) Locally, four spatial interaction patterns of high/low clustering are recognized and analyzed. It reflects the complexity and spatial heterogeneity between transport infrastructure construction and human development level in the Qinghai-Tibet Plateau. |
| format | Article |
| id | doaj-art-352dca186fa64ff788b63aaf079c511a |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-352dca186fa64ff788b63aaf079c511a2025-02-03T01:21:03ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/9975318Two for the Road: Measuring Regional Disparity and Agglomeration in Human Development Level and Transportation InfrastructureZhiheng Wang0Tao Xing1Daikun Wang2Hongkui Fan3Dongchuan Wang4Yanwang Wu5Qiaozhen Guo6Lina Xiu7Tianjin Key Laboratory of Soft Soil Characteristics and Engineering EnvironmentSchool of Geology and GeomaticsDepartment of Geography and Resource ManagementSchool of Geology and GeomaticsSchool of Geology and GeomaticsSchool of Geology and GeomaticsSchool of Geology and GeomaticsSchool of Geology and GeomaticsAs the core element of social-economic development in the Qinghai-Tibet Plateau, transportation dramatically shapes the scale, type, and intensity of human activities. First, this study utilizes night light data and kilometer-grid population data to construct night light development index (NLDI) and to evaluate the human development level at the county scale. Then, based on the complex transportation infrastructure data, the weight assignment method is adopted to create transportation infrastructure influence degree (TIID), which is used to evaluate the location conditions of the counties. Finally, bivariate spatial autocorrelation is utilized to analyze the effect of regional conditions on the county-level human development variation. The results show that (1) NLDI is verified to assess differences in the level of human development among counties in Qinghai-Tibet Plateau and to overcome the difficulties of systematically and integrally obtaining socio-economic statistical data. The pattern of human development level in Qinghai-Tibet Plateau presents a “core-periphery” spatial structure with the transportation network as the axis. (2) On the whole, with the improvement of location conditions influenced by transportation infrastructure, the spatial aggregation of human development level is constantly improving, and the spatial disparity continues to decrease. (3) Locally, four spatial interaction patterns of high/low clustering are recognized and analyzed. It reflects the complexity and spatial heterogeneity between transport infrastructure construction and human development level in the Qinghai-Tibet Plateau.http://dx.doi.org/10.1155/2022/9975318 |
| spellingShingle | Zhiheng Wang Tao Xing Daikun Wang Hongkui Fan Dongchuan Wang Yanwang Wu Qiaozhen Guo Lina Xiu Two for the Road: Measuring Regional Disparity and Agglomeration in Human Development Level and Transportation Infrastructure Journal of Advanced Transportation |
| title | Two for the Road: Measuring Regional Disparity and Agglomeration in Human Development Level and Transportation Infrastructure |
| title_full | Two for the Road: Measuring Regional Disparity and Agglomeration in Human Development Level and Transportation Infrastructure |
| title_fullStr | Two for the Road: Measuring Regional Disparity and Agglomeration in Human Development Level and Transportation Infrastructure |
| title_full_unstemmed | Two for the Road: Measuring Regional Disparity and Agglomeration in Human Development Level and Transportation Infrastructure |
| title_short | Two for the Road: Measuring Regional Disparity and Agglomeration in Human Development Level and Transportation Infrastructure |
| title_sort | two for the road measuring regional disparity and agglomeration in human development level and transportation infrastructure |
| url | http://dx.doi.org/10.1155/2022/9975318 |
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