Research on the Construction of an Assessment Framework for the Friendliness of Children's School Travel Environments: Based on Exploratory and Confirmatory Factor Analysis DOI Creative Commons
Junlin Wang, Jing Wang, Shukai He

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Abstract This study developed an assessment framework to evaluate the friendliness of children's school travel paths within first ring Kunming, guiding improvements in relevant spaces. A preliminary indicator was established through a literature review, and exploratory confirmatory factor analyses (EFA CFA) were employed compare differences structures across various sample sizes. The results indicated that when ratio indicators size exceeded 1:5, 1:10, 1:20, there quantity content deleted indicators. final comprises 18 covering four dimensions: safety, convenience, comfort, pleasure. found increasing significantly enhanced stability accuracy analysis, thereby validating effectiveness framework.

Language: Английский

Examining active travel behavior through explainable machine learning: Insights from Beijing, China DOI
Ganmin Yin, Zhou Huang, Chen Fu

et al.

Transportation Research Part D Transport and Environment, Journal Year: 2024, Volume and Issue: 127, P. 104038 - 104038

Published: Jan. 2, 2024

Language: Английский

Citations

18
The Impacts of Visible Green Spaces on the Mental well-being of University Students DOI Creative Commons
Yihang Bai, Ruoyu Wang, Linchuan Yang

et al.

Applied Spatial Analysis and Policy, Journal Year: 2024, Volume and Issue: 17(3), P. 1105 - 1127

Published: April 13, 2024

Abstract The benefits of green spaces on individuals’ health have been widely acknowledged due to their inherent natural qualities. Currently, university students are experiencing significantly higher levels mental problems than other social groups. There is a scarcity studies examining the association between built environment factors and issues among students, particularly in Chinese context. University campuses China physically isolated, secluded communities, this respect, they differ markedly from spatial organisation patterns Western universities. Therefore, study focuses correlation extent space exposure within closed occurrence resident students. A deep-learning methodology incorporating streetscape images, remote sensing data, multilevel linear modelling employed order facilitate comprehensive analysis. results demonstrate negative campus level Individual socio-demographic characteristics, such as whether person has partner, also found influence that experience. In addition, significant relationship travel issues, with who walked regularly having lower incidence those drove. Our research indicates that, foster healthier communities enhance inclusion, urban planners should prioritise development greener transport services improve accessibility spaces.

Language: Английский

Citations

7
Examining the non-linear association between the built environment around residence and the risk of obesity among children and adolescents at different school stages in Guangzhou and Shenzhen, China DOI
Yiyi Chen, Ye Liu, George Grekousis

et al.

Cities, Journal Year: 2023, Volume and Issue: 145, P. 104674 - 104674

Published: Dec. 2, 2023

Language: Английский

Citations

14
Quantifying the Impact of Street Greening during Full-Leaf Seasons on Emotional Perception: Guidelines for Resident Well-Being DOI Open Access

Nayi Hao,

Xinzhou Li,

Danping Han

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(1), P. 119 - 119

Published: Jan. 7, 2024

Quantifying the emotional impact of street greening during full-leaf seasons in spring, summer, and fall is important for well-being-focused urban construction. Current perception models usually focus on influence objects identified through semantic segmentation view images lack explanation. Therefore, interpretability that quantify greening’s effects are needed. This study aims to measure explain emotions help planners make decisions. would improve living environment, foster positive emotions, residents recover from negative emotions. In Hangzhou, China, we used Baidu Map API obtain when plants were state. Semantic was separate plant parts images, enabling calculation Green View Index, Plant Level Diversity, Color Richness, Tree–Sky Factor. We created a dataset specifically designed purpose perception, including four distinct categories: pleasure, relaxation, boredom, anxiety. generated combination machine learning algorithms human evaluation. Scores range 1 5, with higher values indicating stronger lower less intense ones. The random forest model Shapley Additive Explanation (SHAP) algorithm employed identify key indicators affect Emotions most affected by Diversity Index. These have an intricate non-linear relationship. Specifically, Index (often presence 20–35 fully grown trees within 200 m images) greater significantly promoted responses. Our provided local planning departments support renewal Based our research, recommend following actions: (1) increase amount visible green areas low Index; (2) seasonal flowering like camellia, ginkgo, goldenrain enhance diversity colors; (3) trim safety visibility; (4) introduce evergreen cinnamomum camphor, osmanthus, pine.

Language: Английский

Citations

4
Active mobility in the green space: A spatial and temporal analysis of Indro Montanelli Park DOI
Liang Yang

Journal of Transport & Health, Journal Year: 2025, Volume and Issue: 42, P. 102018 - 102018

Published: March 8, 2025

Language: Английский

Citations

0
Supply-demand matching assessment of public services facility among age groups from the perspective of travel behavior DOI
Jintang Chen, Wenxin Lu, Shuli Zhou

et al.

Habitat International, Journal Year: 2025, Volume and Issue: 161, P. 103421 - 103421

Published: May 1, 2025

Language: Английский

Citations

0
Spatial Mismatch Between Transportation Development and Tourism Spatial Vitality in Yunnan Province in the Context of Urban–Rural Integration DOI Creative Commons
Ju Gao, Xingwu Duan, Qinglong Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 1017 - 1017

Published: May 7, 2025

As China’s urban–rural integration progresses, the connections between urban and rural areas continue to strengthen, making spatial matching transportation infrastructure tourism resources increasingly crucial for coordinated regional development. This study investigates spatial–temporal mismatch development vitality in Yunnan Province, proposing optimization strategies improve their coordination. Using Weibo check-in big data OpenStreetMap network data, we apply Convolutional Long Short-Term Memory (ConvLSTM) networks bivariate autocorrelation analysis examine this relationship. The results show strong transportation–tourism Kunming surrounding areas. However, northwest southern exhibit significant mismatches—despite improvements, underdeveloped constrain growth. Particularly some remote regions, well-developed coexists with low vitality, revealing persistent mismatches transport facilities resources. In general, generally enhances but requires resource market demand alignment. provide a basis improving of tourism, offering practical guidance policymakers promote balanced integration.

Language: Английский

Citations

0
Research on the Construction of an Assessment Framework for the Friendliness of Children's School Travel Environments: Based on Exploratory and Confirmatory Factor Analysis DOI Creative Commons
Junlin Wang, Jing Wang, Shukai He

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Abstract This study developed an assessment framework to evaluate the friendliness of children's school travel paths within first ring Kunming, guiding improvements in relevant spaces. A preliminary indicator was established through a literature review, and exploratory confirmatory factor analyses (EFA CFA) were employed compare differences structures across various sample sizes. The results indicated that when ratio indicators size exceeded 1:5, 1:10, 1:20, there quantity content deleted indicators. final comprises 18 covering four dimensions: safety, convenience, comfort, pleasure. found increasing significantly enhanced stability accuracy analysis, thereby validating effectiveness framework.

Language: Английский

Citations

0