Assessing the Spatial Equity of Urban Park Green Space Layout from the Perspective of Resident Heterogeneity DOI Open Access

Geyang Xia,

Guofeng He,

Xun Zhang

и другие.

Sustainability, Год журнала: 2024, Номер 16(13), С. 5631 - 5631

Опубликована: Июнь 30, 2024

Urban park green spaces (UPGS) are essential resources for improving the urban ecological environment and meeting residents’ recreational needs. However, during rapid urbanization, layout of UPGS often exhibits spatial inequity, with significant differences in enjoyed by resident groups different socioeconomic attributes. Accurately assessing equity (the equal accessibility UPGS) is crucial optimizing resource allocation promoting social equity. This study takes main area Nanjing as an example utilizes location-based service (LBS) data multi-source geographic to conduct in-depth characterization attributes, behaviors, space at street scale. By constructing indicators heterogeneity supply–demand matching degree, it reveals among locations explores correlation between The finds that generally poor central low-income communities. higher degree diversification attributes leads a lower level their streets. results big analysis verify impact on layout. issues from perspective heterogeneity, providing new ideas evidence resources. Future planning should pay more attention diversity needs, focus areas communities, balance interests demands stakeholders through public participation mechanisms.

Язык: Английский

Uncovering urban water consumption patterns through time series clustering and entropy analysis DOI Creative Commons
Renfang Wang, Xinyu Zhao, Hong Qiu

и другие.

Water Research, Год журнала: 2024, Номер 262, С. 122085 - 122085

Опубликована: Июль 15, 2024

Sustainable urban water management is crucial for meeting the growing demands of populations. This study presents a novel approach that combines time series clustering, seasonal analysis, and entropy analysis to uncover residential consumption patterns their drivers. Using three-year dataset from SmartH2o project, encompassing 374 households, we identify nine distinct through leveraging Dynamic Time Warping (DTW) as optimal similarity measure. Multiple linear regression reveals key household characteristics influencing usage behaviors, such number bathrooms appliance efficiency ratings. Seasonal uncovers temporal dynamics, highlighting shifts towards lower during summer months increased variability in transitional seasons. Entropy quantifies diversity complexity at both cluster levels, informing targeted interventions. comprehensive, granular enables development personalized conservation strategies policies, empowering utilities optimize resource contribute sustainable practices.

Язык: Английский

Процитировано

7
Global sensitivity analysis in a complex 1D-2D coupled hydrodynamic model: flood hazard and resilience perspectives over an urban catchment DOI
Kaustav Mondal, Mousumi Ghosh, Subhankar Karmakar

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106279 - 106279

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Electrical energy costs and size and structure of farming households. Study from Poland DOI Creative Commons
Arkadiusz Piwowar

Energy Policy, Год журнала: 2025, Номер 202, С. 114617 - 114617

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Geospatial clustering as a method to reduce the computational load in Urban Building Energy Simulation DOI Creative Commons

Mohamad Hasan Khajedehi,

Enrico Prataviera, Sara Bordignon

и другие.

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106247 - 106247

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0
Assessing the Spatial Equity of Urban Park Green Space Layout from the Perspective of Resident Heterogeneity DOI Open Access

Geyang Xia,

Guofeng He,

Xun Zhang

и другие.

Sustainability, Год журнала: 2024, Номер 16(13), С. 5631 - 5631

Опубликована: Июнь 30, 2024

Urban park green spaces (UPGS) are essential resources for improving the urban ecological environment and meeting residents’ recreational needs. However, during rapid urbanization, layout of UPGS often exhibits spatial inequity, with significant differences in enjoyed by resident groups different socioeconomic attributes. Accurately assessing equity (the equal accessibility UPGS) is crucial optimizing resource allocation promoting social equity. This study takes main area Nanjing as an example utilizes location-based service (LBS) data multi-source geographic to conduct in-depth characterization attributes, behaviors, space at street scale. By constructing indicators heterogeneity supply–demand matching degree, it reveals among locations explores correlation between The finds that generally poor central low-income communities. higher degree diversification attributes leads a lower level their streets. results big analysis verify impact on layout. issues from perspective heterogeneity, providing new ideas evidence resources. Future planning should pay more attention diversity needs, focus areas communities, balance interests demands stakeholders through public participation mechanisms.

Язык: Английский

Процитировано

1