随着互联网经济和电商时代的到来,线下物流快速发展,但城镇“最后一公里”配送问题依旧存在,菜鸟驿站便应运而生。上海作为我国大型物流枢纽城市,探究其菜鸟驿站的空间特征及影响因素更具有代表性。研究基于上海市的菜鸟驿站POI(Point o...随着互联网经济和电商时代的到来,线下物流快速发展,但城镇“最后一公里”配送问题依旧存在,菜鸟驿站便应运而生。上海作为我国大型物流枢纽城市,探究其菜鸟驿站的空间特征及影响因素更具有代表性。研究基于上海市的菜鸟驿站POI(Point of Interest,兴趣点)数据,利用ArcGIS技术,综合运用空间自相关分析、缓冲区分析、核密度分析、标准差椭圆、近邻分析等空间分析与文本分析等方法,解析上海市菜鸟驿站的空间分布格局及影响因素。研究结果表明:上海市90%的菜鸟驿站分布于距离服务对象150 m的范围内,数量与服务对象设施最近出入点的距离成反比;受城市经济发展水平、人口数量、交通设施、生态环境、城市规划等因素影响,菜鸟驿站站点分布极其不均衡,大致呈南—北走向;菜鸟驿站站点在主城区和郊区分布呈现“多核心集聚模式”,两者分布差异较大;驿站站点的分布不均衡,与城市规划布局高度重合,其数量与城区人口数量、城市经济发展水平呈正相关。此研究结果可为上海市菜鸟驿站布局优化提供一定的参考。展开更多
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
Attended collection and delivery points are vital components of ‘last-mile logistics’.Based on point of interest(POI) data for Cainiao Stations and China Post stations in Changsha City, China, this paper provides a ...Attended collection and delivery points are vital components of ‘last-mile logistics’.Based on point of interest(POI) data for Cainiao Stations and China Post stations in Changsha City, China, this paper provides a detailed exploration of the basic features, spatial distribution, and location influencing factors of attended collection and delivery points.Specifically, analyses of the types, service objects and location distributions of the attended collection and delivery points alongside a discussion of their spatial pattern and influencing factors provides a reference for their general geographic layout and characteristics.The findings of this study indicate that: 1) The main mode of operation of attended collection and delivery points is franchises, with other modes of operation rely on supermarkets and other individual shop types.2) The main service targets of attended collection and delivery points are communities, schools, and businesses, followed by townships, enterprises, scenic spots, and administrative units.3) Approximately 77.44% of the attended collection and delivery points are located near the exits of service areas;others are situated in the centre of the service areas.For the Cainiao Stations, 80% are located within 125 m of the exit;for the China Post stations, 80% are located within 175 m of the exit.4) The spatial distribution of the attended collection and delivery points in Changsha is unbalanced, with ‘more centre and fewer surrounding’.The centre is an ‘inverted triangle’, and the edge is an ‘orphan’, showing a northwest-southeast orientation and symmetrical along the axis.The layout of the attended collection and delivery points forms three core areas, and the number of sites decreases with the distance from the core.5) The number and distribution of the attended collection and delivery points are strongly consistent with the regional economic development level, population, and roadway system traffic convenience.Most attended collection and delivery points are on residential, scientific and educational, and commercial and financial land.展开更多
文摘随着互联网经济和电商时代的到来,线下物流快速发展,但城镇“最后一公里”配送问题依旧存在,菜鸟驿站便应运而生。上海作为我国大型物流枢纽城市,探究其菜鸟驿站的空间特征及影响因素更具有代表性。研究基于上海市的菜鸟驿站POI(Point of Interest,兴趣点)数据,利用ArcGIS技术,综合运用空间自相关分析、缓冲区分析、核密度分析、标准差椭圆、近邻分析等空间分析与文本分析等方法,解析上海市菜鸟驿站的空间分布格局及影响因素。研究结果表明:上海市90%的菜鸟驿站分布于距离服务对象150 m的范围内,数量与服务对象设施最近出入点的距离成反比;受城市经济发展水平、人口数量、交通设施、生态环境、城市规划等因素影响,菜鸟驿站站点分布极其不均衡,大致呈南—北走向;菜鸟驿站站点在主城区和郊区分布呈现“多核心集聚模式”,两者分布差异较大;驿站站点的分布不均衡,与城市规划布局高度重合,其数量与城区人口数量、城市经济发展水平呈正相关。此研究结果可为上海市菜鸟驿站布局优化提供一定的参考。
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Under the auspices of the Tang Scholar Program of Northwest University(No.2016)
文摘Attended collection and delivery points are vital components of ‘last-mile logistics’.Based on point of interest(POI) data for Cainiao Stations and China Post stations in Changsha City, China, this paper provides a detailed exploration of the basic features, spatial distribution, and location influencing factors of attended collection and delivery points.Specifically, analyses of the types, service objects and location distributions of the attended collection and delivery points alongside a discussion of their spatial pattern and influencing factors provides a reference for their general geographic layout and characteristics.The findings of this study indicate that: 1) The main mode of operation of attended collection and delivery points is franchises, with other modes of operation rely on supermarkets and other individual shop types.2) The main service targets of attended collection and delivery points are communities, schools, and businesses, followed by townships, enterprises, scenic spots, and administrative units.3) Approximately 77.44% of the attended collection and delivery points are located near the exits of service areas;others are situated in the centre of the service areas.For the Cainiao Stations, 80% are located within 125 m of the exit;for the China Post stations, 80% are located within 175 m of the exit.4) The spatial distribution of the attended collection and delivery points in Changsha is unbalanced, with ‘more centre and fewer surrounding’.The centre is an ‘inverted triangle’, and the edge is an ‘orphan’, showing a northwest-southeast orientation and symmetrical along the axis.The layout of the attended collection and delivery points forms three core areas, and the number of sites decreases with the distance from the core.5) The number and distribution of the attended collection and delivery points are strongly consistent with the regional economic development level, population, and roadway system traffic convenience.Most attended collection and delivery points are on residential, scientific and educational, and commercial and financial land.
