In the last three decades, relevant research has rapidly increased in tandem with the global popularity of TOD (transit-oriented development) initiatives. It is vital to thoroughly summarize this research and investigate its development trends for sustainable cities. The advent of bibliometrics has given rise to a new method of conducting systematic reviews. We wish to illustrate the evolution of the TOD field by applying scientometrics, with the aim of revealing trends in this field and establishing a scientific classification system. We employ visualization software such as VOSviewer and CiteSpace to conduct bibliometric analyses on TOD-related publications from the WOS database from 1994 to 2021. Potential TOD-related research hotspots and cutting-edge research trends are thoroughly examined. The results indicate that TOD research topics are diverse, with hot topics related to land use, built environment, travel behavior, etc. The regions studied in TOD research are mostly metropolitan areas. Based on a modest number of starting keywords, this strategy can be used to build a more relevant and deeper research network. Through expanding the research content and improving research methods, this paper can provide insights into identifying the evolution of TOD research in different locations of the world, as well as provide a reference for the application and implementation of TOD strategies.

Skylights are an efficient means of daylighting in exhibition spaces, but their design presents significant challenges. Considering that daylight utilization profoundly impacts both the visual and thermal environments while affecting energy consumption, the early application of multi-objective optimization strategies becomes imperative. However, many optimization studies provide numerical references only, without delving into the characteristics of opening distribution. This study introduces an optimized exploration approach for openings based on grid subdivision and material parameter selection, targeting Useful Daylight Illuminance (UDI), Energy Use Intensity (EUI), and Predicted Percentage of Dissatisfied (PPD). Simulations and optimizations were performed using Honeybee and Octopus, focusing on the optimal configurations of four typical skylights in Fukuoka, Japan’s climate. The results demonstrate that this novel optimization approach improves metrics for each case and challenges traditional perceptions of daylight systems. Flexible and diverse opening configurations, formed through irregular layouts and material combinations, help achieve more ideal holistic environmental effects under different climatic conditions. Thus, we should provide these research findings as design guidelines for similar scenarios.

While cold regions in China experience harsh winters, their summers also present significant overheating challenges in atrium-style buildings due to excessive solar gain. This study investigates the thermal environment of a non-ventilated atrium educational building located in a cold region of China, with tests conducted throughout the four seasons. The findings indicate that the atrium temperature is 1.7 °C, 1.1 °C, and 1.7 °C lower than that of the inner corridor during spring, autumn, and winter, respectively, but 0.6 °C higher in summer. From 7:00 a.m. to 10:00 p.m. on summer days, north-facing rooms with horizontal shading are 0.5 °C warmer than those facing south. A retrofit strategy that combines ventilated atrium shading with north-facing vertical shading is proposed, leading to a 0.7 °C reduction in atrium temperature and a 9.4% decrease in summer air conditioning energy consumption. Additionally, this study develops a retrofit framework for existing buildings, encompassing scope definition, diagnostics, strategy formulation, and evaluation to support high-quality renovations.

During the adaptive reuse of industrial heritage buildings, existing opening systems and envelope performance often pose major constraints. These restrictions make it difficult for the building to meet the requirements of the updated indoor environment, resulting in insufficient daylight and increased energy consumption. Therefore, optimizing lighting and energy performance has become the primary goal of the retrofit design. However, with limited interventions, the retrofit of heritage buildings to achieve significant overall performance improvement is still a challenge. From a sustainability perspective, improving daylight utilization and reducing energy demand are essential strategies for achieving low-carbon and resource-efficient building retrofit. This study proposes a grid-based parametric multi-objective optimization approach to optimize the window openings of the building envelope. The approach defines the position, size and material properties of the roof and facade openings as design variables. Implemented via the Honeybee and Octopus platforms, it integrates a genetic algorithm with EnergyPlus and Radiance simulations to co-optimize daylight performance, circadian frequency, and energy use intensity. Taking a single-story typical industrial heritage building in China’s cold climate zone as a case study, it is shown that coordinated multi-objective constraints significantly improve the overall performance across various evaluation metrics. The optimization results also provide interpretable window configuration strategies and recommended parameter ranges, which fully consider the climate adaptability of the surrounding environment. These findings offer useful guidance for sustainable retrofit design decision-making in similar single-story industrial heritage buildings.