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Evaluation model for business sites planning based on online and offline datasets

机译：基于在线和离线数据集的业务站点规划评估模型

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In recent years, along with the growth of the mobile internet and the internet of things (IOT), Big Data of city has drawn the attention of many researchers. Combining heterogeneous datasets to evaluate the planning of a new business site is critical for the success of an investment. The traditional approaches primarily solved the problem of ranking offline geographic placements. However, with the prosperity of a new business model, Online to Offline (O2O), individuals' behavior is affected by the mobile internet, which is gradually changing traditional business. As a large quantity of information is accessible on the mobile internet, individuals have an enormous number of choices never seen before. Hence, planning a new business site should also consider the online business strategy. Recently, new datasets from O2O platforms provided relevant insights. In this paper, the hotel business is chosen for analysis. By exploring new datasets, numerous features are extracted for a detailed visualization and analysis. The extracted features can be divided into three categories: geographic, business strategic and mobility. Subsequently, through the fusion of different features, models are devised to evaluate the planning of a new hotel. According to the experimental results, the valid features and models proposed can not only better solve the traditional problem of geographic placement ranking but also provide a simple prediction of hotels' trading volumes according to their business strategies. It provides a general and overall evaluation for planning a new business site in the era of the mobile internet. (C) 2018 Elsevier B.V. All rights reserved.
机译：近年来，随着移动互联网和物联网（IOT）的发展，城市大数据引起了许多研究人员的关注。组合异构数据集以评估新业务站点的计划对于投资成功至关重要。传统方法主要解决了对离线地理位置进行排名的问题。然而，随着在线到离线（O2O）新商业模式的繁荣，个人行为受到移动互联网的影响，而移动互联网正在逐渐改变传统业务。由于在移动互联网上可以访问大量信息，因此个人拥有许多前所未有的选择。因此，规划新的业务站点还应该考虑在线业务策略。最近，来自O2O平台的新数据集提供了相关见解。在本文中，选择了酒店业务进行分析。通过探索新的数据集，提取了许多功能以进行详细的可视化和分析。提取的功能可以分为三类：地理，业务战略和移动性。随后，通过融合不同功能，设计了模型来评估新酒店的规划。根据实验结果，提出的有效特征和模型不仅可以较好地解决传统的地理位置排名问题，而且可以根据其经营策略对酒店的交易量进行简单的预测。它为在移动互联网时代规划新的业务站点提供了总体评估。 （C）2018 Elsevier B.V.保留所有权利。

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