A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context
In the context of the carbon neutrality target, carbon reduction in the daily operation of the transportation system is more important than that in productive activities. There are few travel services that can quantify low-carbon travel, with a lack of effective low-carbon travel tools to guide tran...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-12-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/12/821 |
| _version_ | 1797503946578722816 |
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| author | Mengmeng Chang Yuanying Chi Zhiming Ding Jing Tian Yuhao Zheng |
| author_facet | Mengmeng Chang Yuanying Chi Zhiming Ding Jing Tian Yuhao Zheng |
| author_sort | Mengmeng Chang |
| collection | DOAJ |
| description | In the context of the carbon neutrality target, carbon reduction in the daily operation of the transportation system is more important than that in productive activities. There are few travel services that can quantify low-carbon travel, with a lack of effective low-carbon travel tools to guide transportation behavior. On-demand access to taxi services can effectively reduce the additional carbon emissions caused by cruising, which in turn increases efficiency in urban mobility with a reduced taxi fleet scale. For individual taxis, they lack macroscopic horizon in their choice of passenger pickup paths. The selected travel path based on personal operational experience or real-time location is limited by local optimization when making path decisions. In this work, we proposed a macro-path recommendation method to assist the taxi pickup path selection to accelerate the transformation of the taxi system towards low-carbon sharing. First, an adaptive learning spatiotemporal neural network was used to predict the coarse-grained distribution of potential trips. Next, the trajectory sharing graph was constructed based on the potential trips distribution to reallocate the taxi orders for the continuous pickup path optimization. As a result, the continuous pickup path balanced the relation between travel demands and taxi supply, improving the economic and environmental benefits of taxi operation and contributing to the goal of carbon neutrality. We conducted experiments on the Chengdu city ride-hailing dataset. Compared with the current status of taxi operations, the solution shows improvements in both the scale of taxi services and order gain. |
| first_indexed | 2024-03-10T03:57:38Z |
| format | Article |
| id | doaj.art-935d91d3d05d4941892ec2b1711d3453 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T03:57:38Z |
| publishDate | 2021-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-935d91d3d05d4941892ec2b1711d34532023-11-23T08:42:03ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-12-01101282110.3390/ijgi10120821A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality ContextMengmeng Chang0Yuanying Chi1Zhiming Ding2Jing Tian3Yuhao Zheng4Faculty of Information Technology, Beijing University of Technology, Beijing 100124, ChinaCollege of Economics and Management, Beijing University of Technology, Beijing 100124, ChinaThe Institute of Software, Chinese Academy of Sciences, Beijing 100190, ChinaFaculty of Information Technology, Beijing University of Technology, Beijing 100124, ChinaNorwich Business School, University of East Anglia, Norwich NR4 7TJ, UKIn the context of the carbon neutrality target, carbon reduction in the daily operation of the transportation system is more important than that in productive activities. There are few travel services that can quantify low-carbon travel, with a lack of effective low-carbon travel tools to guide transportation behavior. On-demand access to taxi services can effectively reduce the additional carbon emissions caused by cruising, which in turn increases efficiency in urban mobility with a reduced taxi fleet scale. For individual taxis, they lack macroscopic horizon in their choice of passenger pickup paths. The selected travel path based on personal operational experience or real-time location is limited by local optimization when making path decisions. In this work, we proposed a macro-path recommendation method to assist the taxi pickup path selection to accelerate the transformation of the taxi system towards low-carbon sharing. First, an adaptive learning spatiotemporal neural network was used to predict the coarse-grained distribution of potential trips. Next, the trajectory sharing graph was constructed based on the potential trips distribution to reallocate the taxi orders for the continuous pickup path optimization. As a result, the continuous pickup path balanced the relation between travel demands and taxi supply, improving the economic and environmental benefits of taxi operation and contributing to the goal of carbon neutrality. We conducted experiments on the Chengdu city ride-hailing dataset. Compared with the current status of taxi operations, the solution shows improvements in both the scale of taxi services and order gain.https://www.mdpi.com/2220-9964/10/12/821path recommendationlow-carbon traveltaxi demands predictionorder assignmentsharing network |
| spellingShingle | Mengmeng Chang Yuanying Chi Zhiming Ding Jing Tian Yuhao Zheng A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context ISPRS International Journal of Geo-Information path recommendation low-carbon travel taxi demands prediction order assignment sharing network |
| title | A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context |
| title_full | A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context |
| title_fullStr | A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context |
| title_full_unstemmed | A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context |
| title_short | A Continuous Taxi Pickup Path Recommendation under The Carbon Neutrality Context |
| title_sort | continuous taxi pickup path recommendation under the carbon neutrality context |
| topic | path recommendation low-carbon travel taxi demands prediction order assignment sharing network |
| url | https://www.mdpi.com/2220-9964/10/12/821 |
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