基于多元数据的赣州城市活动空间研究
发布时间：2019-03-04 16:35
【摘要】：长时间以来,基于个体水平上时空行为数据的缺乏和采集的困难成为研究人与空间相互作用及规律的主要障碍。随着大数据热潮的来临,SOLOMO的普及,ICT的进步加速了知识、技术、人才、资金的时空交换,时间、空间及其相互关系都会发生新的变化,流空间将成为区域、城市以及居民活动的主要载体,并通过大量而复杂的网络或移动信息设备的大数据形式表现出来,为研究居民活动空间和ICT对城市空间的影响提供了前所未有的机遇。本文首先引入高德地图POI数据和新浪微博签到数据,探究了居民活动的范围,土地利用均衡度以及居民活动空间的结构特征和时空分布规律,并通过ROSTCM6语义挖掘系统识别了不同情绪的空间分布,对建成环境进行了初步的评价。其次,通过大众点评网中餐饮和休闲娱乐商户的数据,构建了口碑度评价指标体系,用主成分分析法得到各类商户的口碑度值,通过其空间分布特征分析了ICT对城市消费空间分布格局的影响。然后,本文基于空间生产理论,结合新区扩张和旧城更新的典型案例,梳理了目前赣州城市活动空间的形成机制,尝试为快速城镇化背景下城市活动空间的研究提供一个新的视角。最后,本文总结了研究得出的主要结论,并将基于多元数据开展的城市活动空间研究和传统研究方法进行对比分析,找出各自的优势和劣势,为今后更加全面、深入地研究城市活动空间以及ICT对城市空间的影响提供了有益的参考。
[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.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：C912.81
[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.
【学位授予单位】：江西理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：C912.81
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