使用点评数据探测城市商业服务设施的发展规律

doi:10.11947/j.AGCS.2015.20140556

测绘学报 ›› 2015, Vol. 44 ›› Issue (9): 1022-1028.doi: 10.11947/j.AGCS.2015.20140556

使用点评数据探测城市商业服务设施的发展规律

蒋波涛^1,2, 王艳东¹, 叶信岳³

1. 武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079;
2. 宁波市规划与地理信息中心, 浙江宁波 315041;
3. 肯特州立大学地理系, 俄亥俄肯特 44242

收稿日期:2014-10-29 修回日期:2015-05-10 出版日期:2015-09-24 发布日期:2015-09-24
作者简介:蒋波涛(1981—),男,博士生,高级工程师,主要从事时空数据挖掘及社会化时空大数据在城市中的应用研究。E-mail:chiangbt@icloud.com
基金资助:
国家自然科学基金(41271399);国家科技支撑计划(2012BAH35B03);高等学校博士学科点专项科研基金(20120141110036);测绘地理信息公益性行业科研专项经费(201512015)

Detecting Development Pattern of Urban Business Facilities Using Reviews Data

JIANG Botao^1,2, WANG Yandong¹, YE Xinyue³

1. State Key Laboratory of Information Engineering in Surveying, Mapping & Remote Sensing, Wuhan University, Wuhan 430079, China;
2. Ningbo Planning and Geographic Information Center, Ningbo 315041, China;
3. Department of Geography, Kent State University, Kent, Ohio 44242, USA

Received:2014-10-29 Revised:2015-05-10 Online:2015-09-24 Published:2015-09-24
Supported by:
The National Natural Science Foundation of China (No.41271399) The National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No.2012BAH35B03) Specialized Research Fund for the Doctoral Program of Higher Education(No.20120141110036) China Special Fund for Surveying,Mapping and Geoinformation Research in the Public Interest (No.201512015)

摘要/Abstract

摘要： 大众点评网提供的商业设施及其满意度评价数据为城市商业设施的时空分布与发展规律研究提供了一个重要的信息源,它们来源于分布在道路两侧的商业设施。根据此特征,本文设计了一种基于道路网约束的反映商业服务设施与交通网络关系的密度计算方法,对点评数据中蕴含的设施空间分布、设施数量与其满意度之间关系进行了分析。它将商业设施在空间上的二维分布映射至一维的道路网上,更真实地反映了商业服务设施与所处交通环境的影响,揭示了商业服务设施位置、数量及其满意度之间的关系,为城市规划的定量化研究提供了数值依据。

关键词: 商业服务设施, 道路网约束分析, 城市规划定量评价, 社交网络服务

Abstract: This paper reveals and utilizes the growing power of online customer reviews in the space and time context. The location of commercial facilities and online customer reviews offered by Dianping.com provide an important data source for the study of spatial and temporal dynamics of urban commercial facilities. The constraints of road network are taken into account towards computing the density of urban commercial facilities and associated online customer reviews, as well as their spatial distribution, temporal trend, and the coupling relationship between facility number and stratification level. This paper maps the spatial distribution of commercial facilities onto the nearby road network, reflecting the influences of the locations, number and satisfaction levels of other commercial facilities across various street types. Because more and more customers tend to make a final shopping decision by sorting through search results by ratings and feedback, the research conducted in this paper can provide the proof for quantitative evaluation of urban planning on commercial facility development.

Key words: commercial facilities, urban street network analysis, quantitative evaluation of urban planning, social network service

中图分类号:

P208

蒋波涛, 王艳东, 叶信岳. 使用点评数据探测城市商业服务设施的发展规律[J]. 测绘学报, 2015, 44(9): 1022-1028.

JIANG Botao, WANG Yandong, YE Xinyue. Detecting Development Pattern of Urban Business Facilities Using Reviews Data[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(9): 1022-1028.

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使用点评数据探测城市商业服务设施的发展规律

Detecting Development Pattern of Urban Business Facilities Using Reviews Data

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