發(fā)布時間：2018-05-04 17:28

  本文選題：城鎮(zhèn)體系 + 等級結構��； 參考：《規(guī)劃師》2017年01期

【摘要】：文章提出了從手機信令數(shù)據(jù)中獲取城市之間的聯(lián)系流,用以測度城鎮(zhèn)體系等級結構的方法。首先使用手機信令數(shù)據(jù)測算城市之間的人流聯(lián)系,以人流聯(lián)系反映城市之間的相互作用,從聯(lián)系流量、聯(lián)系流向兩個維度測算了城市中心性,提出了吸引量法、優(yōu)勢流法兩種分析城鎮(zhèn)體系等級結構的方法。其次以江西省昌九區(qū)域為案例,基于手機信令數(shù)據(jù),分別使用吸引量法、優(yōu)勢流法測度了城鎮(zhèn)體系等級結構,并與傳統(tǒng)"位序—規(guī)模"法得出的結果進行了比較。研究結果表明,基于手機信令數(shù)據(jù)的吸引量法、優(yōu)勢流法能較好地分析城市中心性,有助于識別出城市人口規(guī)模不大,但在區(qū)域內(nèi)城市相互作用中具有較高中心性的城市等級,這兩種方法適用于城鎮(zhèn)體系現(xiàn)狀分析和規(guī)劃實施評估。
[Abstract]:This paper presents a method to measure the hierarchical structure of urban system by obtaining the connection flow between cities from the signaling data of mobile phone. First, the mobile phone signaling data is used to measure the flow of people between cities, the interaction between cities is reflected by the connection of people, and the city-centrality is calculated from the two dimensions of connection flow and connection flow, and the method of attracting quantity is put forward. The dominant flow method is used to analyze the hierarchical structure of urban system. Secondly, taking the Changjiu region of Jiangxi Province as an example, based on the mobile phone signaling data, the paper measures the hierarchical structure of the urban system by the method of attracting quantity and the dominant flow method, and compares the results with the results obtained by the traditional "bit order-scale" method. The results show that based on the method of attracting quantity of mobile signaling data, the advantage flow method can better analyze the city-centrality, which is helpful to identify the urban population is not large, but has a higher center-level in the urban interaction within the region. These two methods are suitable for the analysis of the present situation of urban system and the evaluation of planning and implementation.
【作者單位】： 同濟大學建筑與城市規(guī)劃學院高密度人居環(huán)境生態(tài)與節(jié)能教育部重點實驗室;同濟大學建筑與城市規(guī)劃學院;
【基金】：上海同濟城市規(guī)劃設計研究院、同濟大學高密度區(qū)域智能城鎮(zhèn)化協(xié)同創(chuàng)新中心科研項目(KY-2016-ZD1-A01)
【分類號】：TN929.53;TU981

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本文編號：1843919