Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle
The study of urban functional zoning is not only important for analyzing urban spatial structure but also for optimizing urban management and promoting scientific urban planning. Different areas undertaking different urban functions correspond to different traffic patterns and specific cycles. Here,...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/11/8/435 |
| _version_ | 1797409865203712000 |
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| author | Zhicheng Deng Xiangting You Zhaoyang Shi Hong Gao Xu Hu Zhaoyuan Yu Linwang Yuan |
| author_facet | Zhicheng Deng Xiangting You Zhaoyang Shi Hong Gao Xu Hu Zhaoyuan Yu Linwang Yuan |
| author_sort | Zhicheng Deng |
| collection | DOAJ |
| description | The study of urban functional zoning is not only important for analyzing urban spatial structure but also for optimizing urban management and promoting scientific urban planning. Different areas undertaking different urban functions correspond to different traffic patterns and specific cycles. Here, a method named Urban Functional Zoning based on the Spatial Specificity (UFZ-SS) is proposed. The core of this method is to obtain urban spatial zoning through the specific cycles of traffic flows. First, UFZ-SS uses the Ensemble Empirical Modal Decomposition (EEMD) method to extract the specific periodic signal characteristics of traffic flows. Second, UFZ-SS calculates the contribution of online car-hailing traffic of different cycles in each zone. Then, the Gaussian Mixture Model (GMM) is utilized to classify all spatial zones into different spatial partitions based on the contribution of each periodic signal. Finally, this study validates UFZ-SS with the online car-hailing traffic volume in northeast Chengdu, China. The results show that the periodic characteristics of traffic can be effectively extracted and analyzed by the EEMD method, and highly distinct and accurate urban spatial partitioning results can be derived by spatial clustering based on the measures of specific cycles. Moreover, with the assistance of Point of Interest (POI) data, we verify the functional zones and structural patterns, which further demonstrates the validity and rationality of urban functional zones identified by UFZ-SS. This study provides a new potential perspective for the identification of urban functional zones, which may lead to a better understanding of the urban spatial structure and even urban planning. |
| first_indexed | 2024-03-09T04:21:44Z |
| format | Article |
| id | doaj.art-399e5ef53c9d436c9b5d7e5b01c74cce |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-09T04:21:44Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-399e5ef53c9d436c9b5d7e5b01c74cce2023-12-03T13:46:22ZengMDPI AGISPRS International Journal of Geo-Information2220-99642022-08-0111843510.3390/ijgi11080435Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic CycleZhicheng Deng0Xiangting You1Zhaoyang Shi2Hong Gao3Xu Hu4Zhaoyuan Yu5Linwang Yuan6School of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaFaculty of Geomatics, Lanzhou Jiaotong University, Lanzhou 730070, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaSchool of Geography, Nanjing Normal University, Nanjing 210023, ChinaThe study of urban functional zoning is not only important for analyzing urban spatial structure but also for optimizing urban management and promoting scientific urban planning. Different areas undertaking different urban functions correspond to different traffic patterns and specific cycles. Here, a method named Urban Functional Zoning based on the Spatial Specificity (UFZ-SS) is proposed. The core of this method is to obtain urban spatial zoning through the specific cycles of traffic flows. First, UFZ-SS uses the Ensemble Empirical Modal Decomposition (EEMD) method to extract the specific periodic signal characteristics of traffic flows. Second, UFZ-SS calculates the contribution of online car-hailing traffic of different cycles in each zone. Then, the Gaussian Mixture Model (GMM) is utilized to classify all spatial zones into different spatial partitions based on the contribution of each periodic signal. Finally, this study validates UFZ-SS with the online car-hailing traffic volume in northeast Chengdu, China. The results show that the periodic characteristics of traffic can be effectively extracted and analyzed by the EEMD method, and highly distinct and accurate urban spatial partitioning results can be derived by spatial clustering based on the measures of specific cycles. Moreover, with the assistance of Point of Interest (POI) data, we verify the functional zones and structural patterns, which further demonstrates the validity and rationality of urban functional zones identified by UFZ-SS. This study provides a new potential perspective for the identification of urban functional zones, which may lead to a better understanding of the urban spatial structure and even urban planning.https://www.mdpi.com/2220-9964/11/8/435urban functional zonesonline car-hailingtime seriesEnsemble Empirical Modal Decompositiontemporal patternspatial partitioning |
| spellingShingle | Zhicheng Deng Xiangting You Zhaoyang Shi Hong Gao Xu Hu Zhaoyuan Yu Linwang Yuan Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle ISPRS International Journal of Geo-Information urban functional zones online car-hailing time series Ensemble Empirical Modal Decomposition temporal pattern spatial partitioning |
| title | Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle |
| title_full | Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle |
| title_fullStr | Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle |
| title_full_unstemmed | Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle |
| title_short | Identification of Urban Functional Zones Based on the Spatial Specificity of Online Car-Hailing Traffic Cycle |
| title_sort | identification of urban functional zones based on the spatial specificity of online car hailing traffic cycle |
| topic | urban functional zones online car-hailing time series Ensemble Empirical Modal Decomposition temporal pattern spatial partitioning |
| url | https://www.mdpi.com/2220-9964/11/8/435 |
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