Effects of Free-Floating Shared Bicycles on Urban Public Transportation
As a product of the development of the Internet and the sharing economy, shared bicycles are beneficial in solving the last mile problem of public transportation for urban residents and expanding the service area of urban public transportation to a certain extent. This paper analyses the spatial-tem...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/8/8/323 |
| _version_ | 1818887238456442880 |
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| author | Min Cao Shangjing Ma Mengxue Huang Guonian Lü Min Chen |
| author_facet | Min Cao Shangjing Ma Mengxue Huang Guonian Lü Min Chen |
| author_sort | Min Cao |
| collection | DOAJ |
| description | As a product of the development of the Internet and the sharing economy, shared bicycles are beneficial in solving the last mile problem of public transportation for urban residents and expanding the service area of urban public transportation to a certain extent. This paper analyses the spatial-temporal characteristics of shared bicycles in the city of Beijing by using kernel density estimation and statistical analysis methods. The maximum coverage location problem model is used to quantify the effects of shared bicycles on the subway and bus urban public transportation systems. The analysis results are of great importance to identify the effects of shared bicycle usage on an urban bus public transportation system from the view of space-time. The results show that (1) shared bicycles are largely located within 1.5 km from the subway station and 500 m from the bus stations; (2) the number of the shared bicycle usage changes along with the distance from the subway and bus stations; (3) subway and bus stations are divided into six types based on the sink-source characteristics of shared bicycles; (4) the service areas of subway and bus stations are expanded by approximately 2.34 and 1.33 times, respectively, after the implementation of shared bicycles. |
| first_indexed | 2024-12-19T16:34:03Z |
| format | Article |
| id | doaj.art-87f8574a58fb47c5a02a3c8323d2e1ef |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-19T16:34:03Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-87f8574a58fb47c5a02a3c8323d2e1ef2022-12-21T20:14:03ZengMDPI AGISPRS International Journal of Geo-Information2220-99642019-07-018832310.3390/ijgi8080323ijgi8080323Effects of Free-Floating Shared Bicycles on Urban Public TransportationMin Cao0Shangjing Ma1Mengxue Huang2Guonian Lü3Min Chen4Key Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210023, ChinaKey Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210023, ChinaKey Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210023, ChinaKey Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210023, ChinaKey Laboratory of Virtual Geographic Environment (Ministry of Education of PRC), Nanjing Normal University, Nanjing 210023, ChinaAs a product of the development of the Internet and the sharing economy, shared bicycles are beneficial in solving the last mile problem of public transportation for urban residents and expanding the service area of urban public transportation to a certain extent. This paper analyses the spatial-temporal characteristics of shared bicycles in the city of Beijing by using kernel density estimation and statistical analysis methods. The maximum coverage location problem model is used to quantify the effects of shared bicycles on the subway and bus urban public transportation systems. The analysis results are of great importance to identify the effects of shared bicycle usage on an urban bus public transportation system from the view of space-time. The results show that (1) shared bicycles are largely located within 1.5 km from the subway station and 500 m from the bus stations; (2) the number of the shared bicycle usage changes along with the distance from the subway and bus stations; (3) subway and bus stations are divided into six types based on the sink-source characteristics of shared bicycles; (4) the service areas of subway and bus stations are expanded by approximately 2.34 and 1.33 times, respectively, after the implementation of shared bicycles.https://www.mdpi.com/2220-9964/8/8/323shared bicyclessink-source characteristicsurban public transportationkernel density estimationmaximum coverage location problem |
| spellingShingle | Min Cao Shangjing Ma Mengxue Huang Guonian Lü Min Chen Effects of Free-Floating Shared Bicycles on Urban Public Transportation ISPRS International Journal of Geo-Information shared bicycles sink-source characteristics urban public transportation kernel density estimation maximum coverage location problem |
| title | Effects of Free-Floating Shared Bicycles on Urban Public Transportation |
| title_full | Effects of Free-Floating Shared Bicycles on Urban Public Transportation |
| title_fullStr | Effects of Free-Floating Shared Bicycles on Urban Public Transportation |
| title_full_unstemmed | Effects of Free-Floating Shared Bicycles on Urban Public Transportation |
| title_short | Effects of Free-Floating Shared Bicycles on Urban Public Transportation |
| title_sort | effects of free floating shared bicycles on urban public transportation |
| topic | shared bicycles sink-source characteristics urban public transportation kernel density estimation maximum coverage location problem |
| url | https://www.mdpi.com/2220-9964/8/8/323 |
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