Practice and Exploration on Passenger Flow Forecast of Guangzhou-Shenzhen-Hong Kong High-speed Maglev Railway
Taking Guangzhou-Shenzhen-Hong Kong high-speed maglev railway in Guangdong-Hong Kong-Macau Greater Bay Area as an example, the passenger flow forecast of high-speed maglev railway with a speed of 600 km/h was explored. By means of big data, the characteristics of passenger flow in Guangdong-Hong Kon...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Electric Drive for Locomotives
2020-11-01
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| Series: | 机车电传动 |
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| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2020.06.009 |
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| author | Songtao QIN Houwen ZHOU Xiaosong MING |
| author_facet | Songtao QIN Houwen ZHOU Xiaosong MING |
| author_sort | Songtao QIN |
| collection | DOAJ |
| description | Taking Guangzhou-Shenzhen-Hong Kong high-speed maglev railway in Guangdong-Hong Kong-Macau Greater Bay Area as an example, the passenger flow forecast of high-speed maglev railway with a speed of 600 km/h was explored. By means of big data, the characteristics of passenger flow in Guangdong-Hong Kong-Macau Greater Bay Area and along the line was analyzed, and the demand forecasting model of Guangdong-Hong Kong-Macau Greater Bay Area was established based on the "four-step Method". The passenger flow index of Guangzhou-Shenzhen-Hong Kong high-speed maglev project was forecasted, which provided passenger flow support for the project promotion. |
| format | Article |
| id | doaj-art-4651dcb8286c4ca2a904ae85fa1d7551 |
| institution | OA Journals |
| issn | 1000-128X |
| language | zho |
| publishDate | 2020-11-01 |
| publisher | Editorial Department of Electric Drive for Locomotives |
| record_format | Article |
| series | 机车电传动 |
| spelling | doaj-art-4651dcb8286c4ca2a904ae85fa1d75512025-08-20T01:51:08ZzhoEditorial Department of Electric Drive for Locomotives机车电传动1000-128X2020-11-01424620923024Practice and Exploration on Passenger Flow Forecast of Guangzhou-Shenzhen-Hong Kong High-speed Maglev RailwaySongtao QINHouwen ZHOUXiaosong MINGTaking Guangzhou-Shenzhen-Hong Kong high-speed maglev railway in Guangdong-Hong Kong-Macau Greater Bay Area as an example, the passenger flow forecast of high-speed maglev railway with a speed of 600 km/h was explored. By means of big data, the characteristics of passenger flow in Guangdong-Hong Kong-Macau Greater Bay Area and along the line was analyzed, and the demand forecasting model of Guangdong-Hong Kong-Macau Greater Bay Area was established based on the "four-step Method". The passenger flow index of Guangzhou-Shenzhen-Hong Kong high-speed maglev project was forecasted, which provided passenger flow support for the project promotion.http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2020.06.009high-speed maglevpassenger flow forecastbig dataGuangdong-Hong Kong-Macau Greater Bay Area |
| spellingShingle | Songtao QIN Houwen ZHOU Xiaosong MING Practice and Exploration on Passenger Flow Forecast of Guangzhou-Shenzhen-Hong Kong High-speed Maglev Railway 机车电传动 high-speed maglev passenger flow forecast big data Guangdong-Hong Kong-Macau Greater Bay Area |
| title | Practice and Exploration on Passenger Flow Forecast of Guangzhou-Shenzhen-Hong Kong High-speed Maglev Railway |
| title_full | Practice and Exploration on Passenger Flow Forecast of Guangzhou-Shenzhen-Hong Kong High-speed Maglev Railway |
| title_fullStr | Practice and Exploration on Passenger Flow Forecast of Guangzhou-Shenzhen-Hong Kong High-speed Maglev Railway |
| title_full_unstemmed | Practice and Exploration on Passenger Flow Forecast of Guangzhou-Shenzhen-Hong Kong High-speed Maglev Railway |
| title_short | Practice and Exploration on Passenger Flow Forecast of Guangzhou-Shenzhen-Hong Kong High-speed Maglev Railway |
| title_sort | practice and exploration on passenger flow forecast of guangzhou shenzhen hong kong high speed maglev railway |
| topic | high-speed maglev passenger flow forecast big data Guangdong-Hong Kong-Macau Greater Bay Area |
| url | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2020.06.009 |
| work_keys_str_mv | AT songtaoqin practiceandexplorationonpassengerflowforecastofguangzhoushenzhenhongkonghighspeedmaglevrailway AT houwenzhou practiceandexplorationonpassengerflowforecastofguangzhoushenzhenhongkonghighspeedmaglevrailway AT xiaosongming practiceandexplorationonpassengerflowforecastofguangzhoushenzhenhongkonghighspeedmaglevrailway |