Multi-source Data Based Competitive Location Selection Of A Commercial Center

According to statistics,since 2018,a number of established commercial department stores such as shenyang new world department store,suzhou dayang department store,shenzhen tianhong junshang department store,xiamen PPR department store,chongqing wangfujing department store have closed down or closed down for adjustment.The excellence and vitality of a city's business reflects the city's excellence and vitality.Although many business centers are located in a superior geographical position,many of them are facing reconstruction due to lack of vitality and poor management because they do not have a good grasp of consumers' psychology.Therefore,it is particularly important to design a method for the quantitative selection of a vibrant and suitable location of business center without introducing human factors.With the rapid development of the Internet and mobile communication devices,users can surf the Internet anytime and anywhere.The birth of various types of social media software combined with users' use has produced a large number of multi-source data with geographic information.Multi-source data has a large breadth and depth,which can reveal individual characteristics.While adding geographic information services to multi-source data,spatial dimensions can be increased to multiple dimensions.Multi-source data mining has been widely used in geography,sociology,journalism and other fields,and has also profoundly changed business behavior.A variety of review software,takeout software,social software,etc.,consumers through the network to choose their place of consumption,during this period of a large number of data on the location of the business center has a great impact.With the increasing demand of consumers for merchants,in order to facilitate shopping and better serve the public,merchants mainly rely on the site selection technology of commercial shops in addition to improving their operation technology.Through competitive location,a facility location method aiming at maximizing profit and market share in a competitive environment can make a more objective and practical location by considering the market share of the newly built facility itself and the market share of the competitive facility.This paper mainly focuses on how to choose the location of followers in the competitive environment.Considering the impact of other business centers,the demand of different regions in different business districts is different,and the cost of site selection for new facilities is also different,and the establishment of new facilities may lead to changes in the demand of the original business districts.To solve the above problems,this paper proposes a competitive location method for business centers based on multi-source data,which achieves the goal of using multi-source data to consider business vitality and resident sentiment.This paper mainly includes the following three aspects:(1)This paper combines the interest point data,road node data and social media check-in data to analyze the current situation of business vitality in the research area through the nuclear density analysis method,and proposes a new method of quantitative business vitality by adding the three factors together,avoiding the individual in the traditional expert-dependent index system.The shortcomings of strong supervisory factors are objective and credible,and the competitive location samples are selected accordingly;(2)Obtain the post information of consumers in social media text data,classify,discriminate and quantify consumers' emotions,analyze the general distribution of residents' emotions in the region and the spatial aggregation of different types of emotions,and finally quantify the residents' emotions in the location samples.(3)According to the current situation and problems of business location selection,Huff model,one of the representative models of competitive location,is used to calculate the customer visiting probability of each site selection sample,combining with business vitality and residential emotional factors,so as to provide suggestions for the location selection of business competition.The example analysis shows that this method can extract competitive location samples from multi-source data,explore the impact of business vitality and residential sentiment on competitive location results,and provide a new perspective of the proposal for the business center of the competitive location from the "people-oriented" point of view.