ARTICLE

Volume 3,Issue 8

Cite this article
11
Citations
53
Views
26 September 2025

Research and Application Demonstration of Key Technologies for Online Car-Hailing Integrated Travel Guidance Services and Low-Carbon Development

Song Ding1 Yutong Wang1 Jialun Fan1 Jiangwei Liu1 Ying Liu2 Zhen Wang2 Haidong Hu2
Show Less
1 Beijing Transport Development Center, Beijing 100081, China
2 Beijing Jiaoyan Urban Transportation Technology Co., LTD., Beijing 100081, China
LNE 2025 , 3(8), 10–14; https://doi.org/10.18063/LNE.v3i8.775
© 2025 by the Author. Licensee Whioce Publishing, Singapore. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License ( https://creativecommons.org/licenses/by/4.0/ )
Abstract

To address the dual challenges posed by the growth of urban transportation demand and the carbon neutrality goal, it is crucial to explore in-depth emission reduction paths in the transportation sector. Taking Beijing as an example, this paper focuses on the “key technologies for online car-hailing integrated travel guidance services and low-carbon development”, aiming to construct an innovative system that drives the online car-hailing industry towards green and low-carbon transformation. The overall scale, operation characteristics, and new-energy development trends of the online car-hailing market in Beijing are systematically analyzed, and a carbon emission accounting model is constructed. On this basis, this paper focuses on developing a data-driven low-carbon travel guidance service mechanism centered on “carbon inclusion.” This mechanism quantifies the baseline emissions and project-scenario emissions. It accurately calculates and rewards the carbon emission reduction of passengers’ active choice of new-energy online car-hailing, forming a technical closed-loop of “data monitoring-emission reduction accounting-value incentive-behavior guidance.” The research results provide low-carbon development solutions with both technical feasibility and application value for urban transportation managers and travel platforms, and have important demonstration significance for promoting the achievement of the “dual carbon” goal in the transportation sector.

Keywords
Online car-hailing integration
Guidance service
Low-carbon development
Key technologies
Application
References

[1] Jiao J, Sun J, Ni X, 2025, Research on the Dynamic Game Between Urban Ride-Hailing and Cruising Taxis and Its Carbon Emission Effects. Journal of Zhejiang University (Engineering Science Edition), 54(7): 1373–1384.

[2] Dong Z, Fan Z, 2025, Evolution of Competitive Strategies Between Traditional Ride-Hailing Platforms and Autonomous Ride-Hailing Platforms. Frontiers of Engineering Management and Technology, 3: 17–24.

[3] Long X, Zhai M, Wang Y, et al., 2025, Ride-Hailing Carpooling Matching Method Considering Passengers’ Time–Price Elasticity. Journal of South China University of Technology (Natural Science Edition), 53(6): 119–130.

[4] Yu T, Li W, Zhang Y, et al., 2023, Research on a Low-Carbon-Oriented Dynamic Matching Algorithm for Ride-Hailing Carpooling. Application Research of Computers, 40(8): 2346–2350 + 2366.

[5] Li Z, Guo M, 2023, Pricing Strategy of Ride-Hailing Platforms Considering Travelers’ Low-Carbon Preference. Journal of North University of China (Natural Science Edition), 44(1): 8–15.

Share
Back to top