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Yuewu Yu

Researcher at Tongji University

Publications -  7
Citations -  55

Yuewu Yu is an academic researcher from Tongji University. The author has contributed to research in topics: Traffic management & Public transport. The author has an hindex of 4, co-authored 7 publications receiving 39 citations. Previous affiliations of Yuewu Yu include Chinese Ministry of Education.

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The use of freight apps in road freight transport for CO2 reduction

TL;DR: Wang et al. as discussed by the authors investigated how a smart phone freight application service (apps) could reduce CO2 emissions in road freight transport and to identify the core problems for improvements, and then the identification of returning pick-up and route planning was conducted to further improve apps for CO2 reduction.
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Urban transport social needs in China: Quantification with central government transit grant

TL;DR: Wang et al. as discussed by the authors proposed a need-based method for the allocation of central government grants, and the allocation procedure was designed with the categorization of cities to avoid distorted incentives and a two-step formula was used to address the funding allocation equity problems.
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Planning of LNG Filling Stations for Road Freight: A Case Study of Shenzhen

TL;DR: In this article, the authors aimed at forecasting the LNG filling demand and planning the stations construction in Shenzhen road freight industry, and the planning schedule was separated into four periods in which three types of stations had different priority of construction.
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Organizational Mode Innovation and Credit Supervision in Road Freight Transportation under Smart Mobile Devices Applications Services

TL;DR: Wang et al. as discussed by the authors analyzed the function and characteristics of road freight mobile apps that appeared in markets and described how they may change the road freight industry in the future, and they indicated flat structural design based on smart mobile terminals can balance the supply and demand, in particular to enhance return-picking rate to improve individual benefit, and reduce overall social resources and environmental cost.

Urban Transport Social Needs in China: Quantification with Central Government Transit Grant

TL;DR: Wang et al. as mentioned in this paper developed an approach to quantify the transport social needs, the measurement of which is composed of two indexes, one denoting the transit ridership derived from social disadvantaged population is constructed with the Primary Component Regression (PCR) and the other is an index of spatial dimension that represents the accessibility to public services.