基于西安市菜鸟驿站和中国邮政速递的POI(point of interest,兴趣点)数据,综合运用数理统计、文本词频分析、空间分析等方法,解析菜鸟驿站的依托组织形式与服务对象类型,空间分布特征与区位选择特征,及其与中国邮政速递的空间竞合关系...基于西安市菜鸟驿站和中国邮政速递的POI(point of interest,兴趣点)数据,综合运用数理统计、文本词频分析、空间分析等方法,解析菜鸟驿站的依托组织形式与服务对象类型,空间分布特征与区位选择特征,及其与中国邮政速递的空间竞合关系。研究发现:①菜鸟驿站依托类型以商品销售型为主,社会服务型和个体店铺型次之;其服务对象以社区为主,商业街区、大学城次之;②菜鸟驿站空间上呈现“中心城区多,周边区县少”的“内密外疏”格局,并沿东北-西南走向分布;③区位选择特征,大尺度表现为以钟楼为中心,随距离增加,驿站数量呈现出低-高-低的分布规律;小尺度则在与服务对象出入口距离区间[100,300]内存在二维正态分布;④菜鸟驿站与目标对象直线可达距离平均位于200m范围以内,且街区活力点与其服务对象主体相适应;⑤邮政站点与菜鸟驿站均由中心城区向外围区县扩张式发展,前者分布范围更广,二者在地理邻近竞争二者中趋于协同发展。展开更多
In this study, records from a 3-yr intensified observational experiment at eight stations along the hillside of Seqilashan over the southeastern Tibetan Plateau were analyzed and combined with records at 28 routine ob...In this study, records from a 3-yr intensified observational experiment at eight stations along the hillside of Seqilashan over the southeastern Tibetan Plateau were analyzed and combined with records at 28 routine observation stations in the Chinese National Meteorological Station Network to investigate the influences of station location on the different diurnal rainfall variations between station records and Tropical Rainfall Measuring Mission （TRMM） data products. The results indicate that the diurnal variation of warm season rainfall is closely related to location of stations. The prevailing nocturnal rainfall peak in observations at routine stations can be largely attributed to the relatively lower location of the stations, which are mostly situated in valleys. The records at Seqilashan stations on hillsides revealed an evident diurnal afternoon peak of warm season rainfall, similar to that indicated by TRMM data. The different diurnal phases between valley and hillside stations are closely related to the orographically induced regional circulations caused by the complex topography over the Tibetan Plateau. The results of this study indicate that the prevailing nocturnal rainfall associated with the relatively lower location of routine observation stations can partially explain the diurnal rainfall variations between observation station records and TRMM data.展开更多
文摘基于西安市菜鸟驿站和中国邮政速递的POI(point of interest,兴趣点)数据,综合运用数理统计、文本词频分析、空间分析等方法,解析菜鸟驿站的依托组织形式与服务对象类型,空间分布特征与区位选择特征,及其与中国邮政速递的空间竞合关系。研究发现:①菜鸟驿站依托类型以商品销售型为主,社会服务型和个体店铺型次之;其服务对象以社区为主,商业街区、大学城次之;②菜鸟驿站空间上呈现“中心城区多,周边区县少”的“内密外疏”格局,并沿东北-西南走向分布;③区位选择特征,大尺度表现为以钟楼为中心,随距离增加,驿站数量呈现出低-高-低的分布规律;小尺度则在与服务对象出入口距离区间[100,300]内存在二维正态分布;④菜鸟驿站与目标对象直线可达距离平均位于200m范围以内,且街区活力点与其服务对象主体相适应;⑤邮政站点与菜鸟驿站均由中心城区向外围区县扩张式发展,前者分布范围更广,二者在地理邻近竞争二者中趋于协同发展。
基金supported by the Major National Basic Research Program of China (973 Program) on Global Change (Grant No.2010CB951902)the National Natural Science Foundation of China (Grant Nos. 40625014,40705025,40921003,and 41005044)
文摘In this study, records from a 3-yr intensified observational experiment at eight stations along the hillside of Seqilashan over the southeastern Tibetan Plateau were analyzed and combined with records at 28 routine observation stations in the Chinese National Meteorological Station Network to investigate the influences of station location on the different diurnal rainfall variations between station records and Tropical Rainfall Measuring Mission （TRMM） data products. The results indicate that the diurnal variation of warm season rainfall is closely related to location of stations. The prevailing nocturnal rainfall peak in observations at routine stations can be largely attributed to the relatively lower location of the stations, which are mostly situated in valleys. The records at Seqilashan stations on hillsides revealed an evident diurnal afternoon peak of warm season rainfall, similar to that indicated by TRMM data. The different diurnal phases between valley and hillside stations are closely related to the orographically induced regional circulations caused by the complex topography over the Tibetan Plateau. The results of this study indicate that the prevailing nocturnal rainfall associated with the relatively lower location of routine observation stations can partially explain the diurnal rainfall variations between observation station records and TRMM data.
