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The Research On Route Selection Of Recreational Greenway Based On Big Data Technology

Posted on:2023-05-30Degree:MasterType:Thesis
Country:ChinaCandidate:F L MengFull Text:PDF
GTID:2532307073483934Subject:Landscape architecture study
Abstract/Summary:PDF Full Text Request
In the information era,the opening of multiple data provides new opportunities for the construction of urban living environment.Big data not only affects everyone’s life and cognition,but also reflects people’s emotional preferences and usage requirements at present.With the development of the city,the planning and design of Greenway system pays more attention to the recreational needs of residents.The construction of recreational greenway route selection method is an important link in the construction of Greenway system.However,at present,China’s greenway route selection still uses more traditional method systems.In order to better meet the preferences of residents’ recreational needs,this paper deeply combines big data technology and recreational greenway route selection methods to put forward new possibilities for Greenway Construction.This paper will break through the traditional greenway route selection method,propose a recreational greenway route selection method using multiple big data technology and select the route selection evaluation factors.By establishing the minimum cumulative resistance model,calculate the appropriate greenway path,and apply it to the greenway system of Longquan Mountain urban forest park.Taking the three-level Greenway in the greenway system as the object,use big data technology to collect data,build the lowest cost path model,and calculate the most appropriate greenway route selection.It provides reference value for the construction of Greenway system of Longquan Mountain urban forest park.Firstly,by combing the recent research status of greenway,recreational greenway and greenway route selection at home and abroad,the paper finds that big data technology has been gradually applied to Greenway route selection system,but it is mostly concentrated in the data acquisition part in the early stage of route selection.Therefore,this paper adopts AHP analytic hierarchy process and minimum cumulative resistance model,hoping to apply big data technology in multiple evaluation factors and evaluation indicators.Then,by summarizing and analyzing the evaluation factors of recreational greenway route selection at home and abroad,determine the evaluation factors of connecting nodes and corridor adaptability in this route selection,and collect the information of each factor by using big data technology and remote sensing technology.Based on the big data,the evaluation method of each recreational factor is established.Finally,a recreational greenway route selection model based on big data technology is constructed.Finally,taking Longquanyi section of the greenway system of Longquan Mountain Urban Forest Park as an example,this study applies the route selection model to practice,selects the ideal greenway route selection,and puts forward Greenway Planning opinions for the Longquan Mountain urban forest park which is being vigorously constructed at present.
Keywords/Search Tags:Recreational greenway, Big data technology, Line selection method, Minimum cumulative resistance model
PDF Full Text Request
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