發(fā)布時(shí)間：2019-03-04 16:35

【摘要】：長時(shí)間以來,基于個(gè)體水平上時(shí)空行為數(shù)據(jù)的缺乏和采集的困難成為研究人與空間相互作用及規(guī)律的主要障礙。隨著大數(shù)據(jù)熱潮的來臨,SOLOMO的普及,ICT的進(jìn)步加速了知識、技術(shù)、人才、資金的時(shí)空交換,時(shí)間、空間及其相互關(guān)系都會發(fā)生新的變化,流空間將成為區(qū)域、城市以及居民活動(dòng)的主要載體,并通過大量而復(fù)雜的網(wǎng)絡(luò)或移動(dòng)信息設(shè)備的大數(shù)據(jù)形式表現(xiàn)出來,為研究居民活動(dòng)空間和ICT對城市空間的影響提供了前所未有的機(jī)遇。本文首先引入高德地圖POI數(shù)據(jù)和新浪微博簽到數(shù)據(jù),探究了居民活動(dòng)的范圍,土地利用均衡度以及居民活動(dòng)空間的結(jié)構(gòu)特征和時(shí)空分布規(guī)律,并通過ROSTCM6語義挖掘系統(tǒng)識別了不同情緒的空間分布,對建成環(huán)境進(jìn)行了初步的評價(jià)。其次,通過大眾點(diǎn)評網(wǎng)中餐飲和休閑娛樂商戶的數(shù)據(jù),構(gòu)建了口碑度評價(jià)指標(biāo)體系,用主成分分析法得到各類商戶的口碑度值,通過其空間分布特征分析了ICT對城市消費(fèi)空間分布格局的影響。然后,本文基于空間生產(chǎn)理論,結(jié)合新區(qū)擴(kuò)張和舊城更新的典型案例,梳理了目前贛州城市活動(dòng)空間的形成機(jī)制,嘗試為快速城鎮(zhèn)化背景下城市活動(dòng)空間的研究提供一個(gè)新的視角。最后,本文總結(jié)了研究得出的主要結(jié)論,并將基于多元數(shù)據(jù)開展的城市活動(dòng)空間研究和傳統(tǒng)研究方法進(jìn)行對比分析,找出各自的優(yōu)勢和劣勢,為今后更加全面、深入地研究城市活動(dòng)空間以及ICT對城市空間的影響提供了有益的參考。
[Abstract]:For a long time, the lack of space-time behavior data on the basis of the individual level and the difficulty of the acquisition have become the main obstacles to the study of the interaction and the law of the human and the space. With the arrival of the large data boom and the popularization of SOLOMO, the progress of ICT has accelerated the time-and-space exchange of knowledge, technology, talents and funds, and the time, space and their relationship will change, and the flow space will be the main carrier of the activities of the region, the city and the residents. And provides an unprecedented opportunity for studying the influence of the living space of the residents and the ICT on the urban space through a large number of large and complex network or mobile information devices. In this paper, the author first introduces the data of the POI data and the sign-in data of Sina Weibo, and probes into the scope of the resident's activities, the balance of land use and the spatial structure and the time-space distribution of the resident's living space, and the spatial distribution of different emotions is identified through the ROSTCM6 semantic mining system. A preliminary evaluation of the built-up environment was carried out. Secondly, through the data of the catering and leisure and entertainment merchants in the general comment network, the index system of word-of-mouth degree is constructed, and the word-of-mouth value of all kinds of merchants is obtained by the principal component analysis method, and the influence of ICT on the distribution pattern of the urban consumption space is analyzed through the spatial distribution analysis. Then, based on the theory of space production, in combination with the typical case of the expansion of the new area and the renewal of the old city, the mechanism of the formation of the city's living space in Ganzhou is given, and an attempt is made to provide a new perspective for the study of the urban activity space in the context of the rapid urbanization. In the end, this paper summarizes the main conclusions of the research, and compares the urban activity space research and the traditional research method based on the multi-element data, and finds out the advantages and disadvantages of the research, and is more comprehensive in the future. In-depth study of urban activity space and the impact of ICT on urban space provide a useful reference.
【學(xué)位授予單位】：江西理工大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：C912.81

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本文編號：2434435