A deep understanding of school travel mode can help policymaking related to the optimization of the school travel structure, alleviating urban traffic congestion due to the increasingly prominent phenomenon of urban sprawl. However, existing studies in this field are based on a specific research perspective, and comprehensive reviews are rather limited. Therefore, this study aims to provide an in-depth, systematic review of school travel by using bibliometric analysis. Firstly, based on the Web of Science, TRID, ScienceDirect, and MEDLINE databases, 457 studies about school travel are selected from between 1996 and 2021. Secondly, utilizing bibliometric analysis, the research progress is summarized with emphasis on the annual performance of the literature, publication status of a country or region, literature source institutions, keywords of the literature, and co-citation network analysis. The research results show that (1) the United States, Canada, and Australia rank top in the number of studies on school travel, and they also have high citation frequency and connection strength. (2) This study collects studies published in 34 journal publications, and the “Journal of Transport & Health” is the main source for publishing research. (3) The choice of school travel mode is significantly affected by individual characteristics, family conditions, and social status. The built environment and parental factors play a leading role in students’ active travel to school, and independent mobility and active transport contribute to students’ healthy development. However, policy planning is necessary to further improve the transportation infrastructure sustainability and school route safety. (4) Finally, several promising directions and potential limitations are discussed for developing countries based on the research progress in developed economies.

A convenient and efficient regional logistics network can rapidly promote the development of regional economy. The form and features of the regional logistics network are analyzed, revealing that the node is the key element of the logistics network. The regional logistics network is divided into regional urban agglomeration logistics network and urban logistics network forms from the point of view of internal and external service functions of urban logistics. Based on this, the model of the logistics economic contact is used to analyze the accessibility of the logistics network of regional urban agglomeration and a space syntax analysis method is used to analyze the accessibility of urban logistics network. Through the analysis of the example, the results indicate that the accessibility of regional urban agglomeration logistics network is related closely to the mode of logistics transportation between the cities and the development level of regional economy, accessibility forms of different urban logistics networks have obvious differences, the accessibility of grouping logistics networks is the highest, the accessibility of gathering logistics networks is higher, and the accessibility of radiating logistics networks is the worst.

To improve the service level of the regional tourism transportation network, the characteristics of tourist travel behaviors are analyzed and the morphology of the regional tourism transportation network is presented, the service levels of three regional tourism transportation networks (aviation, railway, and highway) are evaluated using DEA method in Yunnan province. The results show that the characteristics of tourist travel behaviors and the morphology of the tourism transportation network are important indexes of regional tourism transportation network evaluation, and the lower service level of railway network will be enhanced by improving the node reliability, network density and network average speed. Furthermore, according to node distribution and morphology structure of network, the specific layout optimization countermeasures of the regional tourism transportation are proposed.

To obtain the impact of the new crown epidemic on the spatial structure of self-driving tourism flow during the Spring Festival Golden Week, social network and spatial statistical analysis methods are used to integrate road traffic flow big data and travelogue data to analyze the spatial structure characteristics of self-driving tourism flow in Yunnan Province during the Spring Festival Golden Week in 2018 and 2021. The results show that: 1) The self-driving tourism flow in Yunnan Province during the Spring Festival Golden Week in 2021 shows the “dragonfly” spatial clustering characteristics of “two centers, one axis and two wings”, and the new sub-core area of Qujing is added to the core area of Kunming in 2018, and the self-driving tourists are affected by the epidemic. 2) During the Spring Festival Golden Week in 2021, compared with 2018, there is no significant change in the spatial structure of tourism flow into Yunnan from outside the province, but the degree of intermediary centrality of provincial boundary nodes is significantly weakened, and the self-driving tourism flow at Wenshan junction and Lijiang junction decreased by 72.54% and 87.26%. The New Crown epidemic hindered the development of self-drive tours into Yunnan from Guangxi and Sichuan. 3) During the New Crown epidemic, tourists were less willing to visit hotspot cities, and showed overall behavioral preference characteristics of avoiding crowd gathering and focusing on health and safety. Under the New Crown epidemic, the tendency of long-distance self-driving shifts to close distance self-driving between neighboring cities centered on Kunming.

城市医疗资源时空配置失衡是实现健康中国战略的关键挑战，精准识别就医可达性的动态变化及其公平性影响对优化资源配置至关重要。针对现有研究在多模式交通时空协同效应量化与多时段动态公平性评估方面的不足，论文构建了融合CRITIC (criteria importance through intercriteria correlation)赋权法、改进高斯两步移动搜索法(two-step floating catchment area method，2SFCA)和时段基尼系数的综合评估框架。以昆明主城区为例，融合多时段实时交通数据，测算了驾车与以地铁为主的公共交通模式下的就医可达性，并利用多模式可达性差距指标(multi-mode accessibility Gap，MAG)量化了两种模式的协同效应。研究发现：① 就医可达性空间格局呈“中心辐射式衰减”(驾车)与“轨道依赖断裂”(公共交通)特征；② 时间阈值缩短显著加剧资源空间集聚，时段基尼系数最高达0.968，公平性欠缺问题严峻；③ MAG分析揭示核心区与边缘区均存在交通模式互补失效。研究提出的评估框架，为理解医疗资源时空公平性提供了新视角，也为同类城市的资源配置优化提供了方法论借鉴。