Bike-sharing emerges in the context of "low-carbon transportation" and brings great convenience to people’s short-distance travel. However, while sharing-bike has a huge positive impact on cities, there are also some problems, such as unbalanced distribution of bike-sharing and congestions caused by shared bikes on the side road and sidewalk. This study conducted a time and spatial analysis of bike-sharing in Dongcheng and Xicheng District of Beijing. Results gained from the research were summarized in aspects of time feature and spatial feature respectively（1） The average daily travel volume of shared bikes on working days, 623,257, was much greater than that on the weekend, 245,039; Moreover, the volume of shared bikes on weekdays and on the weekend reached peak from 8 am to 9 am and from 17 pm to 18 pm. In addition, the majority of the duration of riding was less than 10 minutes while 30 minutes or above riding occupies a small portion.（2） The shared bikes on weekdays were highly clustered around certain hotspots and the spatial flow of shared bike traffic on weekdays during morning rush-hour was opposite of that during evening rush-hour. On another hand, activities of the shared bike on the weekend occur in a scattered pattern in the morning while they were highly clustered in the evening.

Illegal construction has seriously affected the appearance of the city and the lives of residents.In order to effectively monitor and discover illegal construction,this paper explored and practiced the key technology of illegal construction monitoring based on street view data,and carried out a demonstration application in Beijing,forming the following research results:① the technology of street view technology was developed in monitoring illegal construction Process;②deep learning technology was integrated to develop an automatic recognition algorithm for changing buildings in street view,design the layout format of the change map and propose an automatic generation algorithm for the change map;③Combining geographic information system(GIS)technology,an on-site inspection of illegal construction integrated with internal and external industries business process was formed to realize the whole process monitoring of illegal construction from discovery to demolition;④the street view violation inspection system was researched and designed to carry out practical application in the special action of"decommissioning,rectification and promotion"in Beijing.The key technology research and application demonstration in this paper have important technical support for improving the construction of the city's ecological civilization and the spatial governance of the city's appearance and city appearance.

在"十四五"规划期间大数据产业快速发展的背景下,构建专题地理信息数据库对于打通数据壁垒、推进数据共建共享具有重要实践意义.本文以行业应用为导向,依托基础测绘数据、普查调查成果和行业专项资料等多源数据,归纳了专题地理信息数据建设的技术方法体系,初步开展了案例应用,提出了数据分析服务的应用方向,力争为北京市空间基础数据底板、智慧城市"一张图"建设和专题应用场景分析等工作提供基础数据支撑,为决策制定提供参考依据.

手机信令数据可以用于研究区域人群时空活动特征,但利用手机信令数据对景区客流活动规律探究的研究较少.本文基于手机信令数据,以北京市32个景区为研究对象,建立客流时空特征评价指标,对北京景区2021年3月1日至2021年5月13日的客流时空变化规律进行了分析.结果显示节假日和周末北京客流量有明显的增长,不同景区间存在客流拥堵差异,近80％的景区在节假日会面临较高的客流压力.研究结论可为北京旅游发展和风险防范提供信息参考.

北京市"三个文化带"的概念提出之后,内涵不断得到完善,"长城文化带"是其中的一项重要内容,为了解北京市长城文化带的村落格局,本研究以多源的地理空间数据为基础,从村落的空间分布情况以及村落的格局特征两个方面进行了分析,最终得到"长城文化带"的村落主要分布在延庆区和密云区;长城文化带村落的命名方式中称"庄""峪""营""沟"的居多,其中,称"营"的集中分布在延庆区;村落的形态主要有3类,分别为矩阵状、斜向矩阵状和不规则状.

及时评估地表覆盖变化下景观格局演变特征,对于促进运河生态廊道建设和保障生态安全具有重要指导意义.本文以大运河北京段遗产监测区为例,分析了研究区2015—2020年的地表覆盖变化和景观格局动态特征.结果表明:(1)房屋建筑、构筑物、种植土地面积持续降低;林草覆盖、水域、铁路与道路面积持续增长.(2)人工堆掘地的破碎化程度不断增加、受人类活动影响越来越大;种植土地不断趋于成片化分布;裸露地表的分散程度急剧增加;水域景观格局稳定.(3)地表覆盖变化和景观格局演变特征与部分施行政策的预期效果基本一致.