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Green Cloud

Using new media to overcome fragmentation and inefficiencies in the Chinese trucking industry
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Freight volume in China has increased faster than GDP from 2008 to 2012 (World Bank, Clean Air Asia - 2012). Air pollution has also become a major problem in Chinese cities, registering unhealthy levels of air pollution on a regular basis. 
On the other hand, smart phone ownership and number of users on social media platforms such as Weibo, WeChat and QQ have exploded. The Guardian projects sales of 283 million cell phones in China in 2014 (76% of which are smart phones), and WeChat now has 355 million active users. Truck drivers already use cell phones to communicate with colleagues, family and friends. 
We want to tap into this trend to overcome industry fragmentation and give truck drivers the tools and knowledge needed to reduce their gas consumption and the related air pollution.


Step 1: Trucking Industry Context

CHINA
Trucks are responsible for a large part of the air pollutants coming from the transportation industry. They produce 76% of particulate matter (PM), which is one of the pollutants responsible for smog. At the same time, the Chinese trucking industry is highly fragmented: in 2011, 59% of China's 11 million commercial trucks were owned by owner-operator drivers, and only 2.9% of trucking companies owned more than 50 trucks. Inter-city trips are rarely optimal, with 40% of trucks running empty and an average loading/unloading time of 72 hours.

Largest Logistic Platform in Beijing.
Photos by Yipei Shen.

Step 2: Field Research and Interviews
Both the American and Chinese counterparts of our team conducted interviews with truck drivers in their respective vicinities. 
Yipei and Yuxiang interviewed 60 drivers at a logistics center in Beijing. At the logistics center, truck drivers wait for up to 5 days to load their trucks before leaving. It was a a good place to catch truck drivers during down time. 
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Caroline and Laura observed truck deliveries and interviewed drivers on Stanford campus and at a gas station equipped for trucks in Santa Clara, CA.
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Step 3: App Design

Based on preliminary research, we considered the following three options for an app. 
  1. A LBS (location based service) app: enabling  owner-operators to share information about  traffic, local businesses and area safety.
  2. A load management platform:  linking clients, drivers and logistic companies to help optimize truck loads and trips.                           
  3. A driver toolkit app:  providing the basic function drivers may need in work, such as weather forecast, easy accounting, simple schedule and voice instant communication.
Interviews with truck drivers revealed that load management was the number one problem of Chinese truck drivers. It will therefore be the main feature of the app. The added value of the app is to get real-time, location-based information about loads. To further attract users, we will build on drivers' current use of mobile phones to talk with colleagues and friends. We will offer a feature to locate friends nearby and to communicate with them. Finally, a few tools like gas prices, weather forecasts and green freight tips are integrated into the app for further development. The aim is to start simple and integrate more features when the user base is built and willing to have access to more advanced services. 


TEAM
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SHEN Yipei
Tsinghua University
Master Candidate Interdisciplinary Design
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WU Yuxiang (Sophia) 
Tsinghua University
Master Candidate Interdisciplinary Design
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Caroline NOWACKI
Stanford University
MS Candidate Sustainable Design &Construction
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Laura SWENSON
Stanford University
BS Candidate Product Design 
  Program on Urban Studies  |  Civil & Environmental Engineering  |  Earth Systems Program  |  International Policy Studies