Parks, as a major infrastructure that provide public service for urban residents, play a vital role in promoting urban livability and public health. Under the framework of spatial equity, more sophisticated accessibility methods were used on measuring urban park accessibility such as multi-mode 2SFCA. However, the accessibility of residential areas near parks was seriously underestimated by using the multi-mode 2SFCA method. Thus, this study aimed to propose an improved multi-mode 2SFCA method to measure urban park accessibility with a more appropriate approach, by taking residential areas of Tianjin central city as the spatial unit. The results indicate that all residential areas can obtain urban park accessibility, but the spatial distribution of urban park accessibility is heterogeneous. The numerical value of urban park accessibility decreases as the travel time from residential areas to urban parks increases; it is shown that the proposed method can provide a more realistic evaluation compared to the traditional multi-mode 2SFCA method. This study provides a comprehensive and realistic insight into acquainting with urban park accessibility and helps urban planners formulate effective policies and strategies to ease spatial imbalance.

Ozone (O₃) pollution is one of the predominant environmental problems, and exposure to high O₃ concentrations has a significant negative influence on both human health and ecosystems. Therefore, it is essential to analyze spatio-temporal characteristics of O₃ distribution and to evaluate O₃ exposure levels. In this study, O₃ monitoring and satellite data were used to estimate O₃ daily, seasonal and one-year exposure levels based on the Bayesian maximum entropy (BME) model with a spatial resolution of 1 km × 1 km in the Beijing-Tianjin-Hebei (BTH) region, China. Leave-one-out cross-validation (LOOCV) results showed that R² for daily and one-year exposure levels were 0.81 and 0.69, respectively, and the corresponding values for RMSE were 19.58 μg/m³ and 4.40 μg/m³, respectively. The simulation results showed that the heavily polluted areas included Tianjin, Cangzhou, Hengshui, Xingtai, and Handan, while the clean areas were mainly located in Chengde, Qinhuangdao, Baoding, and Zhangjiakou. O₃ pollution in summer was the most severe with an average concentration of 134.5 μg/m³. In summer, O₃ concentrations in 87.7% of the grids were more than 100 μg/m³. In contrast, winter was the cleanest season in the BTH region, with an average concentration of 51.1 μg/m³.

In recent years, ozone (O₃) concentration has shown a decreasing trend in the Beijing–Tianjin–Hebei (BTH) region in China. However, O₃ pollution remains a prominent problem. Accurate estimation of O₃ exposure levels can provide support for epidemiological studies. A total of 13 variables were combined to estimate short- and long-term O₃ exposure levels using the geographically weighted regression (GWR) model in the BTH region with a spatial resolution of 1 × 1 km from 2017 to 2020. Five variables were left in the GWR model. O₃ concentration was positively correlated with temperature, wind speed, and SO₂, whereas is was negatively correlated with precipitation and NO₂. Results showed that the model performed well. Leave-one-out cross-validation (LOOCV) R² for short- and long-term simulation results were 0.91 and 0.71, and the values for RMSE were 11.14 and 3.49 μg/m³, respectively. The annual maximum 8 h average O₃ concentration was the highest in 2018 and the lowest in 2020. Decreasing concentrations of major precursors of O₃ due to the regional joint prevention and control may be the reason. O₃ concentration was high in the southeast of the BTH region, including in Hengshui, Handan, Xingtai and Cangzhou.

The frequent occurrence of extreme high temperature weather and heat waves has greatly affected human life. This paper analyzes population exposure and its influencing factors during a heat wave incident in Zhuhai from 6 to 12 September 2021 based on real-time mobile phone data and meteorological data. The results show that the most areas of Zhuhai are affected by high temperature during this heat wave incident. The hourly population exposure is directly proportional to hourly heat wave coverage. In terms of time dimension, the overall population exposure shows a trend of decreasing and then increasing. In terms of spatial dimensions, high population exposure is concentrated in areas such as primary and secondary schools, colleges and universities, office buildings, and residential areas. Low exposure is distributed in most of the mountainous areas along the southern coast. In addition, the leading factors that cause changes in population exposure in different periods of the heat wave cycle are different, which rely more on either climatic factors or population factors.

Increasing function of mobile phone, with availability of traffic information publishing, has created a demand for techniques and methodologies that assist in the automated generation of traffic maps specifically tailored to mobile phone. This paper concerns itself with the problem of automatic generation of schematic maps for traffic information. Schematic maps are effective tools for representation information about the physical environment; they depict specific information in an abstract way. In the context of mobile mapping, schematic maps are seen as being particularly useful means of displaying transportation networks. This paper presents a method that automates the production of schematic maps of traffic information. The method takes into account road type, interesting area of user, current location of user and topologic of the road network, et.al. An implementation of the method is also presented, together with experimental results.