Research on Residents’ Trip Structure Based on Low Carbon Transport Mode

2015 ◽  
Vol 744-746 ◽  
pp. 2115-2119
Author(s):  
Jie Chao ◽  
Jing Yi Sun
Keyword(s):  
Analytical Hierarchy Process ◽  
Influence Factors ◽  
Indicator System ◽  
Urban Traffic ◽  
Low Carbon ◽  
Department Of Transportation ◽  
Traffic Jam ◽  
Hierarchy Process ◽  
The Relationship ◽  
Carbon Transport

In order to ease the traffic problem, traffic jam, safety and pollution, arisen and been getting serious with urban development, low carbon transport was used generally on building frame of urban traffic. Based on deep research and analyze for the relationship between low carbon transport and the urban, the essay discussed the residents’ trip structure under plans of low carbon transport.Building the indicator system that the influence factors of residents’ trip structure under plans of low carbon transport was the first and key progress. Meanwhile, Analytical Hierarchy Process was used to the importance of each factor. Better frame was built by finished steps. With the frame, probability theory was used by analyzing options for residents’ trip structure option. And low carbon transport demonstration area of Kunming Chenggong was chosen to be the case that offered a real environment to test the model. The test proved that the model can guide the residents’ trip structure, which provided an outline to the department of transportation.

Research on Choice of Logistics Mode of B2C Enterprises with FAHP

2014 ◽  
Vol 672-674 ◽  
pp. 2211-2216
Author(s):  
Yang Lv ◽  
Hong Sheng Sun ◽  
Xi Fu Wang
Keyword(s):  
Economic Integration ◽  
Analytical Hierarchy Process ◽  
Economic Globalization ◽  
Fuzzy Analytical Hierarchy Process ◽  
Logistics Services ◽  
Logistics Mode ◽  
The Face ◽  
Hierarchy Process ◽  
The Relationship

Under the background of economic globalization and regional economic integration, B2C enterprises begin to focus on how to handle the relationship between logistics services and E-commerce services in the face of intense competition from other companies. This paper proposes a fuzzy analytical hierarchy process (FAHP) approach to select the logistics mode of B2C electronic commerce companies. In addition, a case study is presented to demonstrate how the approach can help in solving such problems in practice.

Research on Assessment of Urban Transportation Low-Carbonization Development

2013 ◽  
Vol 779-780 ◽  
pp. 872-877
Author(s):  
Hong Hua ◽  
Yu Han Xiong
Keyword(s):  
Road Network ◽  
Urban Transportation ◽  
Influence Factors ◽  
Indicator System ◽  
Assessment Method ◽  
Energy Utilization ◽  
Low Carbon ◽  
Transportation Management ◽  
Assessment Indicator ◽  
Set Up

Five influence factors of urban transportation low-carbonization development are analyzed which includes low-carbon transportation planning, road network construction, green travel, energy utilization and transportation management. The assessment indicator system and the assessment method of urban transportation low-carbonization development are set up. A case of assessment in Chengyang District is studied.

Research on the Simulation and Realization Approach of Urban Low-Carbon Transport

2014 ◽  
Vol 989-994 ◽  
pp. 1328-1332
Author(s):  
Xiu Li Gao ◽  
Tian Jun Hu ◽  
Peng Peng
Keyword(s):  
System Dynamics ◽  
Transport System ◽  
Low Carbon ◽  
System Dynamics Model ◽  
Dynamics Model ◽  
Development Trends ◽  
Policy Simulations ◽  
Simulation Results ◽  
The Relationship ◽  
Carbon Transport

This paper discusses the connotation of urban low-carbon transport in detail, on the basis of the analysis of low-carbon transport. Combined with the relationship among urban low-carbon transport system elements, the article establishes the system dynamics model. Finally, it simulates the development trends of low-carbon transport in Beijing in the future, and compares the simulation results of different traffic schemes. Moreover, the study puts forward the concrete policy simulations to improve urban low-carbon transport.

Green Construction Partner Selection

2012 ◽  
Vol 260-261 ◽  
pp. 290-295
Author(s):  
Han Bing Tang
Keyword(s):  
Evaluation System ◽  
Influence Factors ◽  
Green Building ◽  
Analytic Hierarchy ◽  
Green Construction ◽  
Strategic Cooperation ◽  
Cooperative Partner ◽  
Relationship Of ◽  
Hierarchy Process ◽  
The Relationship

Based on the analysis of the current green real estate trends, this article combines the necessary link of the green building and the green construction to improve the relationship of the green construction partners. While, according the feature of the green construction and the necessary of cooperation, we find out the green construction strategic cooperation influence factors and establish the green construction cooperative partner evaluation system. Fuzzy analytic hierarchy process is applied to the construction unit to select the adopt one.

scholarly journals Systematic Selection and Siting of Vehicle Fueling Infrastructure to Synergistically Meet Future Demands for Alternative Fuels

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
Peter J. Willette ◽  
Brendan Shaffer ◽  
G. Scott Samuelsen
Keyword(s):  
Analytical Hierarchy Process ◽  
Alternative Fuels ◽  
The State ◽  
Low Carbon ◽  
Transportation Fuel ◽  
Transportation Fuels ◽  
Future Demands ◽  
Increasing Demand ◽  
Systematic Selection ◽  
Hierarchy Process

In order to meet the increasing demand for low carbon and renewable transportation fuels, a methodology for systematically establishing build-out scenarios is desirable. In an effort to minimize initial investment costs associated with the development of fueling infrastructure, the analytical hierarchy process (AHP) has been developed and applied, as an illustration, to the case of hydrogen fueling infrastructure deployment in the State of California. In this study, five parameters are selected in order to rank hydrogen transportation fuel generation locations within the State. In order to utilize meaningful weighting factors within the AHP, expert inputs were gathered and employed in the exercising of the models suite of weighting parameters. The analysis uses statewide geographic information and identifies both key energy infrastructure expansion locations and critical criteria that make the largest impact in the location of selected sites.

Analytical Hierarchy Process to Improve Project Prioritization in the Austin District, Texas

2017 ◽  
Vol 2613 (1) ◽  
pp. 29-36 ◽  
Author(s):  
Juan Diego Porras-Alvarado ◽  
Michael R. Murphy ◽  
Hui Wu ◽  
Zhe Han ◽  
Zhanmin Zhang ◽  
...  
Keyword(s):  
Analytical Hierarchy Process ◽  
Department Of Transportation ◽  
Related Factors ◽  
Survey Tool ◽  
Pavement Maintenance ◽  
Pavement Preservation ◽  
Mathematical Expressions ◽  
Texas Department ◽  
Hierarchy Process ◽  
Transportation Agencies

A project candidate selection and ranking model (PCSRM) is commonly applied in pavement maintenance and rehabilitation planning. Typically, these models use empirical mathematical expressions that do not have a clear physical meaning and cannot accurately assess the priority of transportation agencies or pavement engineers. To overcome this limitation, this study developed a method, based on the analytical hierarchy process (AHP), to identify pavement-related factors and improve the accuracy of the PCSRMs currently used by the Austin District (Texas Department of Transportation) in its 4-year plan. The aim was to identify pavement-related factors that reflected the engineering judgment of transportation agencies and pavement engineers. The proposed method had three major components: AHP design, AHP survey and results analysis, and factors selection. A three-tier hierarchy structure of one objective, five goals, and 18 alternatives was defined. Additionally, a system to check for consistency was developed on the basis of literature recommendations. An Excel-based survey tool was developed with the objective of providing a relatively easy visual interface for the participants. The design and development of the survey tool were carried out in collaboration with the district pavement preservation engineer. Seventeen Texas Department of Transportation pavement experts completed the AHP survey with the required consistency ratio. Clustering analysis was performed to identify the pavement-related factors that showed the highest priorities. The factors with the highest overall weights should be considered in future PCSRM improvement.

scholarly journals The Relationship of the Information Quantity of Urban Roadside Traffic Signs and Drivers’ Visibility Based on Information Transmission

2021 ◽  
Vol 18 (20) ◽  
pp. 10976
Author(s):  
Kun Liu ◽  
Hongxing Deng
Keyword(s):  
Visual Recognition ◽  
Information Overload ◽  
Road Traffic ◽  
Influence Factors ◽  
Urban Traffic ◽  
Traffic Sign ◽  
Information Quantity ◽  
Traffic Signs ◽  
Experienced Driver ◽  
The Relationship

For the lack of quantitative basis of traffic sign combination information, this paper established a model of information quantity of urban road traffic signs by analyzing the driver’s information processing and the visual recognition of traffic signs combined with theories of informatics. It used various analytical methods to build a model of the relationship between the traffic sign information quantity (TSIQ) and the driver’s visual recognition. Based on factors, the relationship between the TSIQ and the driver’s visual recognition was studied and analyzed to provide a reference for the design of urban traffic sign layout information. The results show that the TSIQ can explain 61% of the driver’s recognition time (DRT). The more information the road traffic sign conveys, the longer DRT will be. The TSIQ’s threshold is 642 bits, and exceeding this value will cause information overload. Different influence factors have a certain impact on drivers’ visual recognition distance (VRD). The male VRD is shorter than the female. The VRD of the young driver is larger than the old driver. The VRD of a novice driver is longer than an experienced driver, while the visual recognition sign of an experienced driver is shorter.

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