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Multi-factors Influence Mechanism Of Urban Block Based On Green Travel

Posted on:2017-10-15Degree:MasterType:Thesis
Country:ChinaCandidate:B HuangFull Text:PDF
GTID:2322330503489936Subject:Urban and rural planning
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With the rapid development of the private motor vehicles, people travel becomes more and more convenient. Meanwhile, cities developed severe traffic congestion problem. Since the 1970 s, the theory of sustainable development have gradually approached to the scene view of people. Thus, the green transportation concept is valued to a certain extent and gradually accepted by people. From the practice of some cities, urban transportation environment deteriorated and the proportion of green travel way decline gradually, due to the strike of private motor vehicles. This problem is especially serious in urban block, and directly affect people travel choice.Based on this background, this paper hopes to explore the influence mechanism of leading factors on main group's travel choice in the micro point of view of urban block, then feed it back to the travel environment planning and management, for the purpose of enriching the theory of urban sustainable development, optimizing travel environment and promoting green travel.A lot of first-hand data are collected through questionnaires survey based on the travel sample, field visit and the network data capture. This paper establishes a series of multiple logistic regression model based on green travel with the platform of SPSS Logistic software. Firstly, a multi-factor logistic regression general model is established based on the sample of individual social and economic attributes and traffic characteristics. Then, adding block environment attribute factors to the model one by one to complete the multi-factor logistic regression general model, in order to analyze the significantly impact of various environmental factors on people travel. Finally, disassembling the general model into several logistic regression sub models based on different trip distance and income level to improve and complement the multi-factor influence mechanism of people travel. Combined with the block type division and differences in travel choice, this paper deduces the leading environmental factors on green travel of multi-type blocks through the interpretation of the multi-factor influence mechanism, and analyses the travel environmental factors quantitively.Based on above, this paper constructs five types of travel environment pattern of urban blocks. Combined with the indicators of construction standard and travel behavior, this paper puts forward the leading travel optimization objectives, the targeted optimizing strategy which includes land-use composition, the road system structure, public transport and traffic management, as well as the revised pattern of urban block travel environment to guide the construction of urban blocks based on green travel.
Keywords/Search Tags:Green travel, Urban block, Influence mechanism Multi-factors, Logistic regression model
PDF Full Text Request
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