KEYWORDS: Transportation, Roads, Global Positioning System, Mining, Data acquisition, Data analysis, Data processing, Data mining, Data fusion, Visualization
With the increase of urban residents' population, the urban public transportation system faces new challenges. As an important transportation mode to satisfy residents' spatial and temporal needs, the mining of the operation characteristics of taxis is of great significance to understand the urban travel pattern and reduce the cost of the transportation system. Based on the taxi trajectory data in Chengdu, this study fuses electronic maps and GPS positioning data, firstly, the GPS data are trajectorized, then the trajectory data are matched with road network maps for OD maps, and finally, the operating time and distance characteristics of taxis are explored. It is found that taxi trips tend to be short duration and short distance trips, especially trips within 15 minutes and 3 kilometers. The taxi operation characteristics mining in this paper provides valuable references for urban transportation planning and taxi operation management.
This paper proposes an evaluation method for the level of bus and slow traffic system connection around rail stations, considering the necessity, feasibility, accuracy and other attributes of the indicators, and determines seven constraint-guaranteed indicators and five quality-improved indicators, which can reflect the level of bus-slow traffic connection in a more comprehensive way; and gives the calculation method of each indicator, so that we can get the quantitative results of the calculation; and then determines the weight value of each indicator. Then, according to the entropy weighting method and the hierarchical analysis method improved by spherical fuzzy set, the weighting value of each index is determined. Finally, the fuzzy comprehensive evaluation method is used to get the evaluation level of corresponding stations. Finally, the targeted evaluation of different types of rail stations is realised, which can provide the basis for the subsequent adjustment of bus lines and the construction of connecting facilities.
To analyze the influencing factors of transportation corridor construction, the principal component analysis method is used to comprehensively analyze the influencing factors of transportation corridor construction in Guangxi, and the principal component comprehensive evaluation model is constructed. Simultaneously, with the help of systematic clustering methods, the intergroup linkage was used to cluster each indicator factor according to the average Euclidean distance. The results show that economic development indicators have the greatest impact on the construction of transportation corridors. It can be seen that this article has guiding significance for the construction of Guangxi's transportation corridors, and has a positive effect on economic development and the rational configuration of transportation structures.
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