| 摘要: |
| 为避免传统商业街区同质化更新，探索街区可持续发展模式，以北京老城地区为例，通过获取7个传统商业街区中体验者所拍摄的图像，利用卷积神经网络（CNN）技术提取出体验者重点关注的建筑、街巷、美食消费、行为活动、招牌广告5类核心要素。根据要素特征与体验者感知内容将其划分为本体与衍生2种属性，通过5类要素和2种属性的占比情况分析体验者偏好与街区发展模式的关联。结果表明：1）体验者更加青睐街区的衍生属性，且2种属性占比差异可通过相关要素整合进行改善；2）7个街区的发展模式分化为衍生属性占比较高模式和2种属性占比相近模式，模式并存有利于老城街区活力提升；3）2种属性占比均衡的模式更有利于传统商业街区的可持续发展。通过直接提取以上5类体验者感知要素能够有效反映出传统商业街区发展模式存在的问题，有助于传统商业街区的复兴与多元发展策略的选择。 |
| 关键词: 城市更新 数据感知 商业活力 街区更新 卷积神经网络 |
| DOI：10.14085/j.fjyl.2022.12.0085.07 |
| 分类号:TU984.13 |
| 基金项目:国家自然科学基金（编号 62072024）；2021 年北京建筑大学博士研究生科研能力提升项目（编号 DG2021002） |
|
| Development Mode of Traditional Commercial Blocks Based on the Perceptual Elements of Experiencer: A Case Study of the Old Downtown Area of Beijing |
|
WANG Yang1, TIAN Dongwei1, WANG Hengyou1, TIAN Lin2
|
|
1.Beijing University of Civil Engineering and Architecture;2.Chinese National Academy of Arts
|
| Abstract: |
| In order to avoid the homogeneous renewal of traditional commercial blocks for sustainable development mode of blocks, this research acquires images taken by experiencers in seven traditional commercial blocks in the old downtown area of Beijing and, using the convolutional neural network (CNN) technology, extracts five types of core elements of building, street, food consumption, behavioral activity and signboard advertisement that the experiencers focus on from the aforesaid images. The research has the seven blocks divided into two attributes (ontological and derived attributes) in accordance with the characteristics of the aforesaid elements and the perceived content of experiencers. Based on the proportion of the five types of elements and the two attributes, the research analyzes the relationship between experiencer preference and block development mode. Research results show that: 1) Experiencers prefer the derived attribute, and the difference in the proportion of the two attributes can be improved through the integration of relevant factors; 2) the development mode of the seven blocks is divided into the mode with a higher proportion of the derived attribute and the mode with a similar proportion of the two attributes, and the coexistence of the two modes is conducive to the improvement of the overall vitality of blocks in the old downtown area; 3) the mode featuring the balanced proportion of the two attributes is more conducive to the sustainable development of traditional commercial blocks. By directly extracting the five types of experiencer perception elements mentioned above, the research effectively identifies the problems existing in the development mode of traditional commercial blocks, which is helpful for the revival of traditional commercial blocks and the selection of multiple development strategies. |
| Key words: urban renewal data perception commercial vitality block renewal convolutional neural network (CNN) |
| 引用本文: | 王阳,田董炜,王恒友,田林.基于体验者感知要素的传统商业街区发展模式——以北京老城地区为例[J].风景园林，2022，29（12）：85-91. |
| WANG Yang,TIAN Dongwei,WANG Hengyou,TIAN Lin.Development Mode of Traditional Commercial Blocks Based on the Perceptual Elements of Experiencer: A Case Study of the Old Downtown Area of Beijing[J].Landscape Architecture Journal, 2022, 29(12):85-91. |
|
