Paper Info
Title
Transportation Model Application For The Planning Of Low Carbon City - Take Xining City In China As Example
Abstract
The low carbon development is the important trend of Chinese urbanism, and the gap between transportation infrastructure resource and travel demand induces to the transportation problems, such as congestion, energy, and safety. There is a missing connection with the Demand-Oriented Planning and Low-Carbon-Oriented Planning, since most of our discussion in the Urban Comprehensive Planning Proceed is focusing on the commuting congestion in the peak hour. This paper discussed the benefits and problems of the three solutions of transportation, based on the Transit Priority Strategy in China, including the transportation policy research, smart transportation research, as well as planning and design research. A further Model exploration and application for the smart low-carbon transit and non-motorized transportation system construction strategic decision making is discussed. The result shows around 30% energy consumption and CO, emission could be waived if we choose the low-carbon city development mode. The solution and case study apply the Unit City mode and City Intelligent Energy Network technology in Xining City Comprehensive Planning to find out how to form the future development in the cities in China. (C) 2013 The Authors. Published by Elsevier B.V.
Year
DOI
Venue
2013
10.1016/j.procs.2013.06.111
4TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT 2013), THE 3RD INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY INFORMATION TECHNOLOGY (SEIT-2013)
Keywords
Field
DocType
Transportation Model, Low-carbon Travel, Unit City, Transit Priority Strategy, Smart Transportation, City Intelligent Energy Network
Data mining,Comprehensive planning,Advanced Traffic Management System,Computer science,China,Transport engineering,Design research,Smart transportation,Urbanism,Energy consumption,Transportation planning
Conference
Volume
ISSN
Citations 
19
1877-0509
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Mingquan Wang101.69
Kexin Li200.68