便利店是服务保障民生、促进便民消费的重要商业设施,是十五分钟社区生活圈建设的重要组成部分。本文假设在自由竞争格局下,尚不能完全实现品牌连锁便利店在十五分钟生活圈内的供需匹配,仍需政府规划引导。在此基础上,以南京市中心城区...便利店是服务保障民生、促进便民消费的重要商业设施,是十五分钟社区生活圈建设的重要组成部分。本文假设在自由竞争格局下,尚不能完全实现品牌连锁便利店在十五分钟生活圈内的供需匹配,仍需政府规划引导。在此基础上,以南京市中心城区为例,针对六大主流连锁便利店的空间分布现状,分析市场空间竞争和微区位竞争特征与策略,进而利用两步移动搜索法(Two-Step Floating Catchment Area Method,2SFCA)考察连锁便利店基于空间竞争在生活圈内形成的供需关系水平。结果表明:(1)六大品牌连锁便利店在南京中心城区展开了广域的空间竞争,品牌间竞争强度呈现圈层式降低态势,不同品牌的竞争优势区不尽相同。(2)从微区位竞争偏好来看,各品牌临近居住区、服务生活圈的取向明显,其中对居住区具有单一化高倾向的品牌更具有空间分布均衡性,而品牌间对居住-商务-沿路复合型区位的竞争,也有利于提高对居民区的服务供给能力。(3)在现有空间竞争格局下,进一步结合各品牌基于品牌吸引力的供给能力分布以及居民需求分布可知,连锁便利店在生活圈内的供需关系由市中心向外呈现高低起伏的波形分布态势,竞争强度大的区域供需平衡性较高,但大部分区域的连锁便利店尚不能满足居民需求。因此,接受原假设,并从优化调控热点、冷点和盲点地区便利店竞争强度的角度出发,提出促进生活圈内便利店供需平衡的建议。展开更多
In the context of the energy and climate crises,it is crucial for organizations to utilize advanced methods to reduce energy consumption and energy costs.This study explores the application of deep learning models for...In the context of the energy and climate crises,it is crucial for organizations to utilize advanced methods to reduce energy consumption and energy costs.This study explores the application of deep learning models for predicting energy demands in retail stores,which can enhance market efficiency and contribute to grid stability.We analyze a detailed electricity consumption dataset from a hypermarket in Hungary,focusing on 48-hour forecasts at 15-minute intervals.Our methodology includes the implementation of classical models such as ARIMA and linear regression,as well as state-of-the-art deep learning models like TiDE and foundational models such as Lag-Llama in a“zero shot prediction”as well as a“finetuning”scenario.展开更多
文摘便利店是服务保障民生、促进便民消费的重要商业设施,是十五分钟社区生活圈建设的重要组成部分。本文假设在自由竞争格局下,尚不能完全实现品牌连锁便利店在十五分钟生活圈内的供需匹配,仍需政府规划引导。在此基础上,以南京市中心城区为例,针对六大主流连锁便利店的空间分布现状,分析市场空间竞争和微区位竞争特征与策略,进而利用两步移动搜索法(Two-Step Floating Catchment Area Method,2SFCA)考察连锁便利店基于空间竞争在生活圈内形成的供需关系水平。结果表明:(1)六大品牌连锁便利店在南京中心城区展开了广域的空间竞争,品牌间竞争强度呈现圈层式降低态势,不同品牌的竞争优势区不尽相同。(2)从微区位竞争偏好来看,各品牌临近居住区、服务生活圈的取向明显,其中对居住区具有单一化高倾向的品牌更具有空间分布均衡性,而品牌间对居住-商务-沿路复合型区位的竞争,也有利于提高对居民区的服务供给能力。(3)在现有空间竞争格局下,进一步结合各品牌基于品牌吸引力的供给能力分布以及居民需求分布可知,连锁便利店在生活圈内的供需关系由市中心向外呈现高低起伏的波形分布态势,竞争强度大的区域供需平衡性较高,但大部分区域的连锁便利店尚不能满足居民需求。因此,接受原假设,并从优化调控热点、冷点和盲点地区便利店竞争强度的角度出发,提出促进生活圈内便利店供需平衡的建议。
文摘In the context of the energy and climate crises,it is crucial for organizations to utilize advanced methods to reduce energy consumption and energy costs.This study explores the application of deep learning models for predicting energy demands in retail stores,which can enhance market efficiency and contribute to grid stability.We analyze a detailed electricity consumption dataset from a hypermarket in Hungary,focusing on 48-hour forecasts at 15-minute intervals.Our methodology includes the implementation of classical models such as ARIMA and linear regression,as well as state-of-the-art deep learning models like TiDE and foundational models such as Lag-Llama in a“zero shot prediction”as well as a“finetuning”scenario.
