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Related Experiment Video

Updated: Nov 8, 2025

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

Published on: January 20, 2023

Has ridesourcing reduced haze? An analysis using the Didi app.

Xueli Wang^1,2, Song Wang³, Lei Wang¹

¹Institute of Central China Development, Wuhan University, 430072, Wuhan, Hubei, People's Republic of China.

Environmental Science and Pollution Research International

|April 20, 2021

Summary

Shared mobility services like ridesourcing initially reduce haze but can worsen it at larger scales. Urbanization depth is a key factor in this environmental impact, necessitating tailored emission reduction policies.

Keywords:

City form Haze Ridesourcing Sharing economy Spatial spillover

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Last Updated: Nov 8, 2025

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Area of Science:

Environmental Science
Urban Studies
Transportation Geography

Background:

Environmental degradation, particularly haze, poses significant economic and quality-of-life challenges in China.
The distribution of environmental burdens is uneven across regions, social strata, and generations.
Shared mobility services offer a potential avenue for mitigating environmental impacts.

Purpose of the Study:

To investigate the impact mechanism of shared mobility on haze formation in China.
To analyze the mediating roles of urbanization depth and breadth in the shared mobility-haze relationship.
To examine urban heterogeneity in the transmission mechanisms.

Main Methods:

Utilized cross-sectional data from Didi, a Chinese ridesourcing company, for the year 2017.
Employed a generalized spatial two-stage least squares model.
Incorporated control variables for urban economic, geographic, transportation, meteorological, and policy factors.
Tested urbanization depth (agglomeration) and breadth (sprawl) as mediators.

Main Results:

A significant U-shaped relationship was observed between ridesourcing scale and haze levels.
Initial ridesourcing development reduces haze, but intensification occurs at larger scales (e.g., Beijing, Shenzhen).
Urbanization depth emerged as the primary transmission mechanism linking shared mobility to haze.
The transmission mechanism was evident in Tier 3 cities and above, but less so in lower-tier cities.

Conclusions:

The scale of ridesourcing must be compatible with the scale of urban development to manage environmental impacts effectively.
Emission reduction policies should consider the perspective of urban agglomeration and its associated urbanization depth.
Tailored strategies are needed, recognizing the varying effectiveness of shared mobility's environmental impact across different urban tiers.