Map** with stakeholders: An overview of public participatory GIS and VGI in transport decision-making

N Giuffrida, M Le Pira, G Inturri, M Ignaccolo - … International Journal of …, 2019 - mdpi.com
Transport decision-making problems are typically spatially based and involve a set of
feasible alternatives with multiple evaluation criteria. Besides, transport decisions affect …

Urban greenways: A systematic review and typology

OS Horte, TS Eisenman - Land, 2020 - mdpi.com
Greenways are multifunctional linear landscapes that provide a range of socio-ecological
benefits. As a domain of landscape planning research, greenways gained traction in the late …

Recreational visits to urban parks and factors affecting park visits: Evidence from geotagged social media data

S Zhang, W Zhou - Landscape and urban planning, 2018 - Elsevier
Quantifying park use and understanding its driving factors is crucially important for
increasing park use and thus human well-being. Previous studies have investigated the …

Examining the influence of neighborhood and street-level built environment on fitness jogging in Chengdu, China: A massive GPS trajectory data analysis

W Yang, J Hu, Y Liu, W Guo - Journal of transport geography, 2023 - Elsevier
Few studies have investigated the influences of the multilevel built environment (BE) factors
on jogging, compared with walking or cycling. This study explored neighborhood and street …

Sustainable design of running friendly streets: Environmental exposures predict runnability by Volunteered Geographic Information and multilevel model approaches

D Huang, M Tian, L Yuan - Sustainable cities and society, 2023 - Elsevier
Understanding the influence of built environment on running behavior is a significant step
towards develo** related landscape strategies. This paper adopted a volunteered …

Effects of urban park environment on recreational jogging activity based on trajectory data: A case of Chongqing, China

Y Liu, J Hu, W Yang, C Luo - Urban Forestry & Urban Greening, 2022 - Elsevier
Existing studies have seldom used large-scale trajectory data to analyze jogging activities in
urban parks. Most of them have relied on traditional questionnaires and on-site interviews …

Unraveling nonlinear and interaction effects of multilevel built environment features on outdoor jogging with explainable machine learning

W Yang, J Fei, Y Li, H Chen, Y Liu - Cities, 2024 - Elsevier
Built environment (BE) is widely perceived as crucial in promoting physical activities (PA).
However, the nonlinear and interaction relationships between multilevel (macroscale and …

Emerging social media data on measuring urban park use

Y Chen, X Liu, W Gao, RY Wang, Y Li, W Tu - Urban forestry & urban …, 2018 - Elsevier
Green urban infrastructure, which serves the interests of both human and nature, are
considered as essential assets of urban residents. However, measuring the use of green …

The effects of street environment features on road running: An analysis using crowdsourced fitness tracker data and machine learning

S Zhang, N Liu, B Ma, S Yan - Environment and planning B …, 2024 - journals.sagepub.com
Urban streets provide environment for road running. The study proposes a non-parametric
approach that uses machine learning models to predict road running intensity. The models …

How to enhance thermal comfort in greenway walking? An exploration of the physical environment, walking status, and emotional perspectives

Y Li, L Li, W Wang, H Kong, L Chen, L Yang - Urban Climate, 2024 - Elsevier
Adverse weather may disconnect individuals from nature. Ideal greenway thermal
environment is crucial for promoting walking-based physical activity and reducing mental …