Urbanization has been a flourishing process in a wide range of developing countries. The planning and construction of public service facilities is a crucial component of this process. Existing planning methods of public service facilities focused on macroscopic indicators like population and GDP. In this way, accessibility and transportation conditions were neglected. Four typical counties in China were selected as samples where travel surveys and questionnaire surveys on public service facilities were conducted. Taking education and medical care as representative public service facilities, this study used geographic information processing to connect the locations of public service facilities at all levels with the urban land accessibility. Then, analysis of variance was used to obtain correlations between the level of public service facilities and the urban land accessibility. The results showed that the urban land accessibility of locations of public service facilities follows a normal distribution. Categories of facilities showed significant difference on urban land accessibility. Therefore, intervals of urban land accessibility of locations of public service facilities within one standard deviation from the mean were constructed by category. These intervals built a connection between transportation conditions with locations of public service facilities. Corresponding relation of carbon emission of facility-related trips and urban land accessibility was established as an example of an application. Carbon emissions caused by facility-related trips can be reduced by locating facilities at locations with appropriate urban land accessibility.

As a product of urban motorized traffic, sharing roads between pedestrians and non-motor vehicles has been widely used in the world. In order to improve the service quality of slow traffic, it is necessary to evaluate the service level of the shared-use path to determine whether the road is suitable for setting up shared forms. Therefore, the purpose of this study is to provide an analytical framework to quantify and accurately express the service level of shared-use paths. Considering the direct impact of traffic conflicts on service quality, fuzzy clustering analysis is used to analyze traffic conflicts. Then, the corresponding relationship between traffic conflict events and service levels is established, and the classification criteria of the service levels at all levels and the corresponding range of conflict events are determined. By judging the interval in which the number of conflict events belongs, we can determine the service level of the shared-use path, and then determine whether the slow-moving road is suitable for sharing between pedestrians and non-motor vehicles. The research results can provide a reference for traffic management departments to determine the service level and applicability of shared roads.

With the sustained and rapid development of China’s national economy, the number of motor vehicles owned by families in cities is rapidly growing. Consequently, problems of traffic congestion and air pollution have also appeared in these cities. Roadside parking traffic has also become an important part of the transportation system in cities. However, there is no specific measurement model for carbon emissions caused by roadside parking in the proposed traffic carbon emission model. Therefore, we aim to establish a carbon emission measurement model for roadside parking. In this paper, we first study the characteristics of the deceleration and maneuvering of parking vehicles and the blocking impact on running vehicles in a typical roadside parking scenario. We then establish and fit models of the direct and indirect carbon emissions during roadside parking. Based on the carbon emission model, we propose a calculation method for roadside parking carbon emissions, including accounting and estimation methods. These models can be used to calculate the carbon emissions from roadside parking in a traffic carbon emissions system. We also hope that these models will help future research on the optimization of roadside parking facilities for energy saving and emission reduction.

The urban multimodal transport network is composed of multiple layers of networks; thus, coordinating the capacity equilibrium among different sub-transport networks plays a crucial role to keep the entire network running efficiently. To quantify and evaluate the passenger flow distribution in an urban multimodal transport network, this research proposes a method to evaluate the capacity coordination in an urban multimodal transport network on the basis of assignment results calculated by the Stochastic User Equilibrium (SUE) model considering the link and path impedance of different sub-transport networks. It suggests evaluation functions for the indicator level of service (LOS) of the multimodal transport network, Gini coefficient of transport network, and mode share of transport modes, and it shows how the functions were estimated. Then, it reports on results with the evaluation scheme collected in a multimodal example application for roadway network, transit networks (bus transit network and urban rail transit network), and connection network. The evaluation results under different assumed origin–destination (OD) demand show the coordination degree and can be used to recognize shortcomings of the network. Moreover, the OD demand interval of real network with good coordination can be deduced, which can also help transport planners to find the optimal strategy.

Given that there are no practical quantitative indicators of traffic conditions for facility location selection in the process of urbanization, this article proposes a comprehensive accessibility index of location and its measurement method. Urban land is rasterized using GIS to obtain the grids, and the road network data are used to calculate the external accessibility and internal accessibility of the grids. The external accessibility and the internal accessibility of a grid are combined to obtain the comprehensive accessibility of the location. The comprehensive accessibilities of grids are measured for Zhicheng, an urban area in China. The results show that the pattern of gradual spatial changes in the comprehensive accessibility of the grids in Zhicheng is highly consistent with the urban land’s spatial development trend, which verifies the feasibility and accuracy of the comprehensive accessibility measurement method. On one hand, the comprehensive accessibility of the grid is more portable than the accessibility of a single point and can be calculated in batches. On the other hand, it is more specific than the regional accessibility and better guides the location selection of urban facilities.

The impact of disturbances on a transportation network varies depending on the location and characteristics of the affected highway segments. Given limited resources, it is crucial to prioritize the protection and repair of highway segments based on their importance to maintaining overall network performance during disruptions. This paper proposes a novel method for ranking the importance of highway segments, leveraging a novel local–transit percolation and clustering-based method. Initially, the highway network is constructed by Graph theory, and the k-means clustering method is applied considering each segment’s transit and local traffic flows. Subsequently, a local–transit percolation model is constructed to generate an initial ranking of segments based on the size of the second-largest clusters during the percolation phase transition. A secondary ranking is performed by refining the results from the clustering phase. Results of a control experiment show that, compared to baselines, the proposed ranking approach demonstrates a significantly improved ability to sustain network demand and connectivity when high-ranked segments are moved. The model uncertainty analysis was conducted by adding noise to the gantry records, and the experiments demonstrated that the model exhibits robustness under noisy conditions. These findings highlight the effectiveness and superiority of the proposed method.