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基于时空大数据的历史街区旅游景观偏好研究——以中国福州为例。

Tourist Landscape Preferences in a Historic Block Based on Spatiotemporal Big Data-A Case Study of Fuzhou, China.

机构信息

College of Landscape Architecture and Art, Fujian Agriculture and Forestry University, Fuzhou 350100, China.

Engineering Research Center for Forest Park of National Forestry and Grassland Administration, Fuzhou 350002, China.

出版信息

Int J Environ Res Public Health. 2022 Dec 21;20(1):83. doi: 10.3390/ijerph20010083.

DOI:10.3390/ijerph20010083
PMID:36612401
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9819072/
Abstract

Historic blocks are valuable architectural and landscape heritage, and it is important to explore the distribution characteristics of tourists to historic blocks and their landscape preferences to realize the scientific construction and conservation of historic blocks and promote their sustainable development. At present, few studies combine the analysis of tourist distribution characteristics with landscape preferences. This study takes the historic block of Three Lanes and Seven Alleys in Fuzhou as an example, combines field research and questionnaires to construct a landscape preference evaluation indicator system for the historic block, measures the distribution characteristics of tourists in the block through the heat value of tourist flow obtained from the Tencent regional heat map, and analyses the influence of landscape preference indicators on the heat value of tourist flow in the block through stepwise multiple linear regression. The research shows that: (1) the spatial and temporal variation in the heat value of tourist flow tends to be consistent throughout the block, from 7 a.m. to 6 p.m., showing a "rising, slightly fluctuating and then stabilizing" state, both on weekdays and on weekends. (2) The factors influencing the heat value of tourist flow in the different spatial samples are various, with commercial atmosphere, plant landscape, accessibility of the road space, architecture, and the surrounding environment having a significant impact on the heat value of tourist flow. Based on the analysis of the landscape preferences of tourists in the historic block, a landscape optimization strategy is proposed to provide a reference for the management and construction of the block.

摘要

历史街区是具有重要价值的建筑和景观遗产,探索游客在历史街区的分布特征及其景观偏好,对于实现历史街区的科学建设和保护,促进其可持续发展具有重要意义。目前,将游客分布特征分析与景观偏好相结合的研究较少。本研究以福州三坊七巷历史街区为例,结合实地调研和问卷调查,构建历史街区景观偏好评价指标体系,通过腾讯区域热力图获取的客流热值来衡量街区内游客的分布特征,并通过逐步多元线性回归分析景观偏好指标对街区客流热值的影响。研究表明:(1)客流热值在街区内的时空变化具有一致性,从早上 7 点到晚上 6 点,呈现出“先上升、后微幅波动、再趋于稳定”的状态,无论是工作日还是周末都是如此。(2)不同空间样本中影响客流热值的因素各不相同,商业氛围、植物景观、道路空间可达性、建筑以及周边环境对客流热值有显著影响。基于对游客在历史街区景观偏好的分析,提出了景观优化策略,为街区的管理和建设提供参考。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/729a5d88d1fc/ijerph-20-00083-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/f62f0f5c9d85/ijerph-20-00083-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/f26be7273468/ijerph-20-00083-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/8982caadff7e/ijerph-20-00083-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/80d990b117d0/ijerph-20-00083-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/78e5f90af2b4/ijerph-20-00083-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/729a5d88d1fc/ijerph-20-00083-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/f62f0f5c9d85/ijerph-20-00083-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/f26be7273468/ijerph-20-00083-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/8982caadff7e/ijerph-20-00083-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/80d990b117d0/ijerph-20-00083-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/78e5f90af2b4/ijerph-20-00083-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0bee/9819072/729a5d88d1fc/ijerph-20-00083-g006.jpg

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本文引用的文献

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Disparities in Pedestrian Streetscape Environments by Income and Race/Ethnicity.不同收入及种族/族裔群体在步行街景观环境方面的差异。
SSM Popul Health. 2016 Dec;2:206-216. doi: 10.1016/j.ssmph.2016.03.004. Epub 2016 Mar 20.
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Assessing environmental features related to mental health: a reliability study of visual streetscape images.评估与心理健康相关的环境特征:视觉街道景观图像的可靠性研究
BMC Public Health. 2014 Oct 22;14:1094. doi: 10.1186/1471-2458-14-1094.
3
Consensus in landscape preference judgments: the effects of landscape visual aesthetic quality and respondents' characteristics.
景观偏好判断中的共识:景观视觉美学质量和受访者特征的影响。
J Environ Manage. 2014 May 1;137:36-44. doi: 10.1016/j.jenvman.2014.02.009. Epub 2014 Mar 3.