• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

代际差异对 TOD 区城市活力的影响:建成环境对不同年龄群体活动的影响。

Intergenerational differences in the urban vibrancy of TOD: Impacts of the built environment on the activities of different age groups.

机构信息

School of Architecture, Southwest Jiaotong University, Chengdu, China.

出版信息

Front Public Health. 2022 Sep 6;10:994835. doi: 10.3389/fpubh.2022.994835. eCollection 2022.

DOI:10.3389/fpubh.2022.994835
PMID:36148332
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9485636/
Abstract

Transit-oriented development (TOD) has been regarded as an effective way to improve urban vibrancy and facilitate affordable, equitable, and livable communities in metro station areas (MSAs). Previous studies placed great attention on the interplay between the MSA-level built environment and overall human activities while neglecting the heterogeneity among different age groups. To address this gap, we leverage the mobile phone signaling data to quantify the spatio-temporal distribution of the MSA-level human activities among different age groups as measured by the vibrancy index (VI). Furthermore, we investigate the impact of the MSA-level built environment on the VI and its intergenerational differences by employing multiple linear regressions based on multi-sourced data. To this end, Chengdu-a TOD-thriving megacity in China-is chosen as a case study. The results indicate that: (1) Residential and bus stop density are positively associated with the VI. And the magnitudes of the correlation coefficients are similar among different age groups. (2) Distance to CBD is negatively associated with the VI of teenagers (12-18 years), middle-aged adults (40-59 years), and older adults (above 60 years) but unrelated to the VI of young adults (19-39 years). (3) Employment density is positively associated with the VI of young and middle-aged adults but insignificantly associated with the VI of teenagers and older adults. (4) The correlations between the floor area ratio and the VI are positive for all age groups. As age increases, the significance of such correlations becomes more pronounced. (5) Streetscape greenery shows a more significant positive correlation with the VI of teenagers and older adults as compared to those of young and middle-aged adults. (6) Significant negative correlations exist between housing price and the VI of different age groups. The findings can inform the development and design of vibrant TOD communities.

摘要

交通导向型发展(TOD)被认为是一种提高城市活力、促进地铁站区(MSA)内经济适用、公平和宜居社区的有效方式。先前的研究主要关注 MSA 级建成环境与整体人类活动之间的相互作用,而忽略了不同年龄组之间的异质性。为了解决这一差距,我们利用手机信号数据来量化 MSA 级人类活动在不同年龄组之间的时空分布,其测度指标为活力指数(VI)。此外,我们通过基于多源数据的多元线性回归,研究了 MSA 级建成环境对 VI 及其代际差异的影响。为此,选择中国 TOD 繁荣的特大城市成都作为案例研究。结果表明:(1)住宅和公交站密度与 VI 呈正相关。并且不同年龄组之间的相关系数大小相似。(2)到 CBD 的距离与青少年(12-18 岁)、中年成年人(40-59 岁)和老年人(60 岁以上)的 VI 呈负相关,但与青年成年人(19-39 岁)的 VI 无关。(3)就业密度与青年和中年成年人的 VI 呈正相关,但与青少年和老年人的 VI 无关。(4)对于所有年龄组,建筑面积率与 VI 之间的相关性均为正相关。随着年龄的增长,这种相关性的显著性变得更加明显。(5)与青年和中年成年人相比,街景绿化与青少年和老年人的 VI 呈更显著的正相关。(6)不同年龄组的房价与 VI 之间存在显著的负相关关系。这些发现可以为充满活力的 TOD 社区的发展和设计提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/732c4957c93d/fpubh-10-994835-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/e7c6526d058c/fpubh-10-994835-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/015cbc11ac5b/fpubh-10-994835-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/ac08b3a332dd/fpubh-10-994835-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/761dc638346e/fpubh-10-994835-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/6437d74bfa52/fpubh-10-994835-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/f1eae223c3b2/fpubh-10-994835-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/732c4957c93d/fpubh-10-994835-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/e7c6526d058c/fpubh-10-994835-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/015cbc11ac5b/fpubh-10-994835-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/ac08b3a332dd/fpubh-10-994835-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/761dc638346e/fpubh-10-994835-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/6437d74bfa52/fpubh-10-994835-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/f1eae223c3b2/fpubh-10-994835-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f54/9485636/732c4957c93d/fpubh-10-994835-g0007.jpg

相似文献

1
Intergenerational differences in the urban vibrancy of TOD: Impacts of the built environment on the activities of different age groups.代际差异对 TOD 区城市活力的影响:建成环境对不同年龄群体活动的影响。
Front Public Health. 2022 Sep 6;10:994835. doi: 10.3389/fpubh.2022.994835. eCollection 2022.
2
Impacts of Built Environment on Urban Vitality: Regression Analyses of Beijing and Chengdu, China.建成环境对城市活力的影响:对中国北京和成都的回归分析。
Int J Environ Res Public Health. 2019 Nov 20;16(23):4592. doi: 10.3390/ijerph16234592.
3
The Association of Built Environment and Physical Activity in Older Adults: Using a Citywide Public Housing Scheme to Reduce Residential Self-Selection Bias.老年人的建筑环境与身体活动的关联:利用全市公共住房计划减少居住者的自我选择偏差。
Int J Environ Res Public Health. 2018 Sep 10;15(9):1973. doi: 10.3390/ijerph15091973.
4
The Relationship between Urban Vibrancy and Built Environment: An Empirical Study from an Emerging City in an Arid Region.城市活力与建成环境的关系:以干旱地区新兴城市为例的实证研究。
Int J Environ Res Public Health. 2021 Jan 10;18(2):525. doi: 10.3390/ijerph18020525.
5
Exploring the Relationship Between Neighborhood-Built Environment and Elderly Health: A Research Based on Heterogeneity of Age and Gender Groups in Beijing.探讨邻里建成环境与老年人健康的关系:基于北京市年龄和性别群体异质性的研究。
Front Public Health. 2022 May 31;10:882361. doi: 10.3389/fpubh.2022.882361. eCollection 2022.
6
Non-Linear Effects of the Built Environment and Social Environment on Bus Use among Older Adults in China: An Application of the XGBoost Model.中国老年人使用公交车的建成环境和社会环境的非线性影响:XGBoost 模型的应用。
Int J Environ Res Public Health. 2021 Sep 12;18(18):9592. doi: 10.3390/ijerph18189592.
7
Effect of built environment on BMI of older adults in regions of different socio-economic statuses.不同社会经济地位地区的建成环境对老年人 BMI 的影响。
Front Public Health. 2023 Jul 7;11:1207975. doi: 10.3389/fpubh.2023.1207975. eCollection 2023.
8
Influence and Mechanism of a Multi-Scale Built Environment on the Leisure Activities of the Elderly: Evidence from Hefei City in China.多尺度建成环境对老年人休闲活动的影响及作用机制——来自中国合肥市的证据。
Int J Environ Res Public Health. 2022 Jul 28;19(15):9237. doi: 10.3390/ijerph19159237.
9
Quantitative Evaluation of TOD Performance Based on Multi-Source Data: A Case Study of Shanghai.基于多源数据的 TOD 绩效定量评价——以上海市为例。
Front Public Health. 2022 Feb 21;10:820694. doi: 10.3389/fpubh.2022.820694. eCollection 2022.
10
How Did the Built Environment Affect Urban Vibrancy? A Big Data Approach to Post-Disaster Revitalization Assessment.建成环境如何影响城市活力?一种大数据方法评估灾后复兴。
Int J Environ Res Public Health. 2022 Sep 26;19(19):12178. doi: 10.3390/ijerph191912178.

本文引用的文献

1
Exploring the Relationship Between Neighborhood-Built Environment and Elderly Health: A Research Based on Heterogeneity of Age and Gender Groups in Beijing.探讨邻里建成环境与老年人健康的关系:基于北京市年龄和性别群体异质性的研究。
Front Public Health. 2022 May 31;10:882361. doi: 10.3389/fpubh.2022.882361. eCollection 2022.
2
Crowdsourced Data for Physical Activity-Built Environment Research: Applying Strava Data in Chengdu, China.众包数据在体力活动-建成环境研究中的应用:以中国成都的 Strava 数据为例。
Front Public Health. 2022 Apr 29;10:883177. doi: 10.3389/fpubh.2022.883177. eCollection 2022.
3
The Relationship between Urban Vibrancy and Built Environment: An Empirical Study from an Emerging City in an Arid Region.
城市活力与建成环境的关系:以干旱地区新兴城市为例的实证研究。
Int J Environ Res Public Health. 2021 Jan 10;18(2):525. doi: 10.3390/ijerph18020525.
4
Environmental Mismatch: Do Associations between the Built Environment and Physical Activity among Youth Depend on Concordance with Perceptions?环境不匹配:青少年的建筑环境与身体活动之间的关联是否取决于与感知的一致性?
Int J Environ Res Public Health. 2020 Feb 18;17(4):1309. doi: 10.3390/ijerph17041309.
5
Spatial and Social Media Data Analytics of Housing Prices in Shenzhen, China.中国深圳房价的空间和社交媒体数据分析。
PLoS One. 2016 Oct 26;11(10):e0164553. doi: 10.1371/journal.pone.0164553. eCollection 2016.
6
Night-Time Light Data: A Good Proxy Measure for Economic Activity?夜间灯光数据:经济活动的良好替代指标?
PLoS One. 2015 Oct 23;10(10):e0139779. doi: 10.1371/journal.pone.0139779. eCollection 2015.
7
Explorative Analysis of Wuhan Intra-Urban Human Mobility Using Social Media Check-In Data.利用社交媒体签到数据对武汉市区内人口流动的探索性分析
PLoS One. 2015 Aug 19;10(8):e0135286. doi: 10.1371/journal.pone.0135286. eCollection 2015.