Zhiqiang Wu
Biographic Data
| ID | 4417463 |
|---|---|
| NAME | Zhiqiang Wu |
| GIVEN NAMES | Zhiqiang |
| FAMILY NAME | Wu |
| SIGNATURE | WU Z |
| AFFILIATIONS | Tongji University |
| ORCID | 0000-0002-4238-7317 |
| VERIFIED | Yes |
| TOTAL WORKS | 38 |
| TOTAL CITATIONS | 8 |
| AUTHOR COUNT | 38 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Spatiotemporal dynamics of extreme heat exposure and exposure inequality: A dual-decoupling assessment across global subnational built-up areas
Evaluating 15-minute life circles at block scale with multimodal LLMs: Where they work, where they fail, and what to do next
The 15-min life circle (15-LC) has become an adopted paradigm for urban governance and public service improvement, yet block-scale evaluation remains fragmented, with a gap between indicator computation, integrated interpretation, and actionable translation. Leveraging recent advances in multimodal large language models (MLLMs), we propose a 5D integrated framework for policy-defined 15-LC units and operationalize it as a protocolized benchmark w…
Integrating machine learning and network analysis for spatial distribution evaluation and renewal prioritization of mega-city park systems
Emotional Health Resilience and Equity in Urban Blocks During Heat Waves: Evidence from Social Sensing and Explainable Machine Learning in Shanghai
Generative AI for complex urban planning: Pathways, potentials, and challenges
Managing urban complexity has become a defining challenge of the twenty-first century, requiring approaches that transcend conventional planning tools. Generative artificial intelligence (GenAI) has emerged as a promising response, reshaping knowledge production, spatial design, and planning practices. Yet research remains fragmented, with limited understanding of technological evolution and uneven adoption across planning domains. This study sys…
How does aging foster urban innovation? Evidence from machine learning analysis across 322 Chinese cities
The population aging is reshaping urban innovation ecosystems, yet evidence at the city-level and regarding environmental impacts remains scarce. Existing studies often treat aging as a homogeneous burden, relying on a single demographic indicator and overlooking its interactions with the urban built environment. To address these gaps, this study analyzed over 322 Chinese cities over the past decade, measuring innovation through patents counts. W…
The linkage between microbial community dynamics and urbanization age
Pc-Gan: A deep learning framework for automated urban morphology design with spatial constraints to improve heat resilience
Investigating heterogeneous non-linear effects of key driving factors on the urban thermal environment in urban centres and non-centres: A case study of Shanghai
Decoding Climate-Zone-Specific Nonlinear Interactions Between Urban Morphology, Vegetated Coverage, and Land Surface Temperature for the United States
Towards scenario-conditioned urban renewal using a progressive CP-GAN framework under heat–carbon–wind scenarios
Urban greening as a potential nature-based solution for heat-related health burden: Evidence from acute myocardial infarction in a megacity
Spatiotemporal dynamics and multidimensional drivers of urban diurnal temperature range: Evidence from integrated learning at the national scale in China
Interpretable multimodal generative design of three-dimensional urban hub morphology for resilient and sustainable planning
Enhancing environmental sustainability of infrastructure projects through a novel dynamic evolutionary model: A rational whistleblower perspective
Environmental sustainability has garnered significant public attention and has become crucial to infrastructure project success. The exposure of whistleblowers on social media often elicits a widespread social response. However, prior research failed to connect the environmental sustainability of infrastructure projects with whistleblowers. This paper aims to fill the gap by constructing a tripartite game model to study the evolving environmental…
A CycleGAN-Pix2pix framework for multi-objective 3D urban morphology optimization: Enhancing thermal performance in high-density areas
The CycleGAN-Pix2pix model in response to Local Climate Zones was constructed. • A multi-objective optimization framework was proposed to improve thermal performance. • Three thermal indicators and floor area ratio variance were set as objectives. • The Pareto optimal solutions outperformed the original samples among six sites. • Four spatial optimization strategies were validated through final modification. Enhancing understanding of urban therm…
From heat resilience to sustainable co-benefits: Adaptive urban morphology generation based on multimodal data fusion and a novel generative framework
A novel GAN-based model was proposed for automated urban morphology generation. • The multimodal datasets consisted of LCZ, LST, and POPH preparing for training. • CP-GAN model achieved high precision in terms of performance metrics and error maps. • End-to-end generative system balancing cooling effects and socio-economic benefits. • Enabled forward-looking urban design simulations instead of retrospective analyses. Rapid urbanization and global…
An LCZ-based machine learning framework for revealing spatial heterogeneity of thermal comfort in high-density areas: Enhancing explainability and fine-grid scale resolution
Joint evaluation of urban built environment’s driving patterns on urban heat island (UHI) and urban moisture island (UMI)
Towards climate-adaptive equality in coastal megacities: Assessing urban flooding risk disparities and nonlinear effect of multidimensional indicators through an interpretable LightGBM-SHAP framework
Compound health effects and risk assessment of extreme heat and ozone air pollution under climate change: A case study of 731 urban areas in China
Innovation districts: A bibliometric-systematic literature review and dynamic systems framework development
Advancing urban hub planning: A bibliometric analysis of concepts, effects evaluation, and spatial design
Heterogeneous residential location effects: Variations in how suburban communities shape older adults' active travel—A case study from Xiamen
Interactive effects of physical environment and socio-economic factor on urban mobility resilience: The case of bike-sharing in Shanghai
The nonlinear influence of land conveyance on urban carbon emissions: An interpretable ensemble learning-based approach
Heterogeneous residential location effects: Variations in how suburban communities shape older adults' active travel—A case study from Xiamen
Innovation districts: A bibliometric-systematic literature review and dynamic systems framework development
Quaternary high-resolution seismic sequence based on instantaneous phase of single-channel seismic data in the South Yellow Sea, China
City Intelligence Quotient Evaluation System Using Crowdsourced Social Media Data: A Case Study of the Yangtze River Delta Region, China
Despite the trending studies on smart city development, how to evaluate the smartness of a city remains unclear. This research aimed to design a smart city evaluation system, named the City Intelligence Quotient (CityIQ) evaluation system, which considers both the hard (e.g., physical infrastructure) and soft sides (e.g., citizens’ perspectives) of smart city development. Based on the two-level structure of the CityIQ evaluation system (i.e., fiv…
Functional visibility graph analysis: Quantifying visuofunctional space with social media check-in data
Public space is characterised by visible spaces and featured by observable activities, forming the atmosphere that humans can perceive, interpret, and experience. This article conceptualises urban space as a set of viewsheds connecting functions visually which can be represented as functional visibility graphs – the graphs with mutual-visibility edges between space and function nodes. It begins with an introduction of three basic measures: visual…
Impacts of building configurations on urban stormwater management at a block scale using XGBoost
A Survey of the Landscape Visibility Analysis Tools and Technical Improvements
Visual perception of the urban landscape in a city is complex and dynamic, and it is largely influenced by human vision and the dynamic spatial layout of the attractions. In return, landscape visibility not only affects how people interact with the environment but also promotes regional values and urban resilience. The development of visibility has evolved, and the digital landscape visibility analysis method allows urban researchers to redefine …
Achieving Carbon Neutrality through Urban Planning and Design
Much of the research on climate change has focused on carbon reduction in cities or countries. However, more attention needs to be paid to how to achieve carbon neutrality in the urban design and planning stage, and the lack of quantitative analysis of carbon related to urban space makes it difficult to locate urban space and provide direct guidance for urban planning and design. This study proposed three optimization paths to achieve carbon neut…
Unveiling the spatially varied nonlinear effects of urban built environment on housing prices using an interpretable ensemble learning model
Towards inclusive urbanism: An examination of urban environment strategies for enhancing social equity in Chengdu's housing zones
Mapping heterogeneity: Spatially explicit machine learning approaches for urban value uplift characterisation and prediction
Understanding urban value uplift is essential for guiding public efforts towards vibrant economies and inclusive communities. Current research, however, often overlooks non-economic dimensions of urban values, resulting in biased socioeconomic outcomes and neglected socio-spatial heterogeneity for sustainable urban planning. This study employs spatially explicit machine learning (ML) approaches to comprehensively investigate the characterisation …
Exploring the Nonlinear Interplay between Urban Morphology and Nighttime Thermal Environment
Employees’ competence need satisfaction and loyalty: Intrinsic work motivation as a mediator, moderated by belief in reciprocal filial piety
Competition for talent is becoming increasingly fierce in China’s rapidly developing economy, so that cultivating loyalty among employees is important for the competitiveness and sustainable development of enterprises. From an individual perspective, in this study we explored the internal mechanism of employees’ competence need satisfaction on their loyalty. We constructed a moderated mediation model with intrinsic work motivation as the mediator…
The nonlinear influence of land conveyance on urban carbon emissions: An interpretable ensemble learning-based approach
Enhancing environmental sustainability of infrastructure projects through a novel dynamic evolutionary model: A rational whistleblower perspective
Environmental sustainability has garnered significant public attention and has become crucial to infrastructure project success. The exposure of whistleblowers on social media often elicits a widespread social response. However, prior research failed to connect the environmental sustainability of infrastructure projects with whistleblowers. This paper aims to fill the gap by constructing a tripartite game model to study the evolving environmental…
A CycleGAN-Pix2pix framework for multi-objective 3D urban morphology optimization: Enhancing thermal performance in high-density areas
The CycleGAN-Pix2pix model in response to Local Climate Zones was constructed. • A multi-objective optimization framework was proposed to improve thermal performance. • Three thermal indicators and floor area ratio variance were set as objectives. • The Pareto optimal solutions outperformed the original samples among six sites. • Four spatial optimization strategies were validated through final modification. Enhancing understanding of urban therm…
From heat resilience to sustainable co-benefits: Adaptive urban morphology generation based on multimodal data fusion and a novel generative framework
A novel GAN-based model was proposed for automated urban morphology generation. • The multimodal datasets consisted of LCZ, LST, and POPH preparing for training. • CP-GAN model achieved high precision in terms of performance metrics and error maps. • End-to-end generative system balancing cooling effects and socio-economic benefits. • Enabled forward-looking urban design simulations instead of retrospective analyses. Rapid urbanization and global…
An LCZ-based machine learning framework for revealing spatial heterogeneity of thermal comfort in high-density areas: Enhancing explainability and fine-grid scale resolution
Joint evaluation of urban built environment’s driving patterns on urban heat island (UHI) and urban moisture island (UMI)
Towards climate-adaptive equality in coastal megacities: Assessing urban flooding risk disparities and nonlinear effect of multidimensional indicators through an interpretable LightGBM-SHAP framework
Compound health effects and risk assessment of extreme heat and ozone air pollution under climate change: A case study of 731 urban areas in China
Innovation districts: A bibliometric-systematic literature review and dynamic systems framework development
Advancing urban hub planning: A bibliometric analysis of concepts, effects evaluation, and spatial design
Heterogeneous residential location effects: Variations in how suburban communities shape older adults' active travel—A case study from Xiamen
Interactive effects of physical environment and socio-economic factor on urban mobility resilience: The case of bike-sharing in Shanghai
Impact of innovation drivers in Chinese cities: Machine learning analysis using XGBoost
Spatiotemporal dynamics of extreme heat exposure and exposure inequality: A dual-decoupling assessment across global subnational built-up areas
Geography (15 works) · Urban Heat Island Mitigation (15 works) · Land Use and Ecosystem Services (11 works) · Urban heat island (11 works) · Urban planning (11 works) · Urban Green Space and Health (10 works) · Computer Science (9 works) · Engineering (9 works) · Environmental Science (8 works) · Ecology (7 works)