青年感知视角下北京打卡地活动语义及其转换特征研究

doi:10.13474/j.cnki.11-2246.2024.0529

测绘通报 ›› 2024, Vol. 0 ›› Issue (5): 160-165.doi: 10.13474/j.cnki.11-2246.2024.0529

• 技术交流 • 上一篇

青年感知视角下北京打卡地活动语义及其转换特征研究

赵雨欣^1,2,3,4, 元俊磊^1,2,3,4, 伊迪升^1,2,3,4, 金思佳^1,2,3,4, 周慧君^1,2,3,4, 张晶^1,2,3,4

1. 首都师范大学水资源安全北京实验室, 北京 100048;
2. 首都师范大学三维信息获取与应用教育部重点实验室, 北京 100048;
3. 首都师范大学城市环境过程虚拟仿真国家级实验教学中心, 北京 100048;
4. 首都师范大学资源环境与旅游学院, 北京 100048

收稿日期:2023-10-30 发布日期:2024-06-12
通讯作者: 张晶。E-mail:zhangjings@mail.cnu.edu.cn
作者简介:赵雨欣(1999—),女,硕士生,研究方向为社会感知视角下空间数据的挖掘与分析。E-mail:2210902098@cnu.edu.cn
基金资助:
国家自然科学基金(42071376);北京航空航天大学虚拟现实技术与系统国家重点实验室开放项目(01122220010028)

A study on activity semantics and transformation characteristics of Beijing geo-tagged places from the perspective of youth perception

ZHAO Yuxin^1,2,3,4, YUAN Junlei^1,2,3,4, YI Disheng^1,2,3,4, JIN Sijia^1,2,3,4, ZHOU Huijun^1,2,3,4, ZHANG Jing^1,2,3,4

1. Beijing Laboratory of Water Resources Security, Capital Normal University, Beijing 100048, China;
2. Key Laboratory of 3-Dimensional Information Acquisition and Application, Capital Normal University, Beijing 100048, China;
3. National Experimental Teaching Center of Urban Environmental Process and Digital Simulation, Capital Normal University, Beijing 100048, China;
4. College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China

Received:2023-10-30 Published:2024-06-12

摘要/Abstract

摘要： 青年群体热衷于在网络平台以打卡的形式记录和分享生活,打卡地成为其出行游玩的热门目的地之一。用户所发布的对于打卡地的主观体验和感受,从群体层面上通过网络空间进行了重现、反复和聚集,进而改变打卡地的固有功能属性。本文以北京市六环内为研究区,对小红书中相关打卡地文章数据通过句向量表示与聚类,多层级关键词提取等方法得到打卡地的活动语义。在此基础上,通过丰富度及空间聚类方法分析打卡地功能-活动语义之间的转换及其空间分布特征。结果表明,打卡地的活动语义相较于功能语义更加复杂多样且体现人本视角。功能-活动语义的转换可总结为组合类、一致类和衍生类,语义转换特点与区域功能紧密相关,体现在历史文化融入、商业综合体互转和满足多元化需求等方面,进而空间分布呈现出聚集性和区域性。

关键词: 青年感知, 打卡地, 活动语义, 语义转换, BERT

Abstract: The youth group is passionate about documenting and sharing their life on social media platforms, making geo-tagged places one of the popular destinations for their outings and travels. The subjective experiences and feelings shared by users about geo-tagged places have been replicated and aggregated through the online space at the group level, affecting the functional attributes of these places. This study focuses on the area within the Sixth Ring Road of Beijing, using methods such as sentence vector representation, clustering, and multi-layer keyword extraction to obtain the activity semantics of the geo-tagged places. Based on this, the transformation between the functional and activity semantics of the geo-tagged places and their spatial distribution characteristics were analyzed using the diversity index and spatial clustering method. The results indicate that the activity semantics of geo-tagged places are more complex and diverse compared to functional semantics, reflecting a more human-centered perspective. The transformation between functional and activity semantics can be summarized as Combined, Consistent, and Derived. The characteristics of semantic transformation are closely related to regional functions, manifested in aspects such as the integration of historical culture, the mutual transformation of commercial complexes, and the meeting of diverse needs, thereby presenting a spatial distribution with clustering and regional characteristics.

Key words: youth perception, geo-tagged places, activity semantics, semantic transformation, BERT

中图分类号:

P208

赵雨欣, 元俊磊, 伊迪升, 金思佳, 周慧君, 张晶. 青年感知视角下北京打卡地活动语义及其转换特征研究[J]. 测绘通报, 2024, 0(5): 160-165.

ZHAO Yuxin, YUAN Junlei, YI Disheng, JIN Sijia, ZHOU Huijun, ZHANG Jing. A study on activity semantics and transformation characteristics of Beijing geo-tagged places from the perspective of youth perception[J]. Bulletin of Surveying and Mapping, 2024, 0(5): 160-165.

参考文献

[1] 汉雨棣,刘子义,裴鑫.公众参与下城市“神话” 的建构: 以小红书UGC短视频中的长沙形象建构为例[J].新媒体研究,2021,7(19):10-19.
[2] 覃若琰.网红城市青年打卡实践与数字地方感研究:以抖音为例[J].当代传播,2021(5):97-101.
[3] 包钰洁.“网红打卡地” 文化视域下地区旅游符号吸引力建构的思考[J].东南传播,2022(5):85-87.
[4] 北京市文化和旅游局_工作动态_重磅！2021北京网红打卡地榜单正式揭晓[EB/OL].[2023-05-08].http://whlyj.beijing.gov.cn/zwgk/xwzx/gzdt/202112/t20211207_2555327.html.
[5] 周恺,张海涛,夏依宁,等.社交媒体影响下的城市消费空间新特征:以小红书长沙“网红打卡地” 为例[J].现代城市研究,2021,36(9):20-27.
[6] LIU Jianguo,DIETZ T,CARPENTER S R,et al.Complexity of coupled human and natural systems[J].Science,2007,317(5844):1513-1516.
[7] TU Wei,CAO Jinzhou,YUE Yang,et al.Coupling mobile phone and social media data:a new approach to understanding urban functions and diurnal patterns[J].International Journal of Geographical Information Science,2017,31(12):2331-2358.
[8] YE Zi,NEWING A,CLARKE G.Understanding Chinese tourist mobility and consumption-related behaviours in London using Sina Weibo check-ins[J].Environment and Planning B:Urban Analytics and City Science,2020,48:2436-2452.
[9] EBRAHIMPOUR Z,WAN Wanggen,VELÁZQUEZ GARCÍA J L,et al.Analyzing social-geographic human mobility patterns using large-scale social media data[J].ISPRS International Journal of Geo-Information,2020,9(2):125.
[10] BARUNI J S,SATHIASEELAN D J G R.Keyphrase extraction from document using RAKE and TextRank algorithms[J].International Journal of Computer Science and Mobile Computing,2020,9(9):83-93.
[11] WANG Bin,MENG B,WANG Juan,et al.Perceiving residents' festival activities based on social media data:a case study in Beijing,China[J].ISPRS International Journal of Geo-Information,2021,10:474.
[12] 谢永俊,彭霞,黄舟,等.基于微博数据的北京市热点区域意象感知[J].地理科学进展,2017,36(9):1099-1110.
[13] 陈瑗瑗,高勇.利用社交媒体的位置潜语义特征提取与分析[J].地球信息科学学报,2017,19(11):1405-1414.
[14] 陈子豪,张毅,刘瑜,等.基于社交媒体感知城市旅游活动类型:以苏州市为例[J].地理与地理信息科学,2020,36(2):54-61.
[15] MIKOLOV T,CHEN Kai,CORRADO G,et al.Efficient estimation of word representations in vector space[EB/OL].2013-09-07[2023-09-10].http://arxiv.org/abs/1301.3781.
[16] 周锦章,崔晓晖.基于词向量与TextRank的关键词提取方法[J].计算机应用研究,2019,36(4):1051-1054.
[17] DEVLIN J,CHANG Mingwei,LEE K,et al.BERT:pre-training of deep bidirectional transformers for language understanding[EB/OL].[2023-09-10].http://arxiv.org/abs/1810.04805.pdf.
[18] SHARMA P,LI Y.Self-supervised contextual keyword and keyphrase retrieval with self-labelling[EB/OL].2019-08-06[2023-09-09].https://www.preprints.org/manuscript/201908.0073/v1.
[19] HURLBERT S H.The nonconcept of species diversity:a critique and alternative parameters[J].Ecology,1971,52(4):577-586.
[20] 千瓜数据.2022年千瓜活跃用户画像趋势报告(小红书平台)[EB/OL].[2023-05-08].https://www.qian-gua.com/blog/detail/1591.html.
[21] 刘艳娥,严思宇.消费文化视域下网红景点打卡行为分析[J].视听,2021(10):113-114.
[22] 顾晋源,杨东峰.社交媒体影响下城市休闲空间分布新特征:基于小红书打卡地与POI的对比分析[J].地球信息科学学报,2024,26(2):332-351.

青年感知视角下北京打卡地活动语义及其转换特征研究

A study on activity semantics and transformation characteristics of Beijing geo-tagged places from the perspective of youth perception

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