Uncovering and modeling the hierarchical organization of urban heavy truck flows

Yang, Yitao; Jia, Bin; Yan, Xiao-Yong; Zhi, Danyue; Song, Dongdong; Chen, Yan; de Bok, Michiel; Tavasszy, Lóránt A.; Gao, Ziyou

doi:10.1016/j.tre.2023.103318

Cited by 6 publications

(1 citation statement)

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“…Researchers have incorporated points of interest (POI) into land use, population movement, and other data to predict the spread of viruses using the "node-place" model [41]. Furthermore, some researchers have integrated points of interest (POI) with GPS trajectories to develop urban heavy truck mobile networks [42]. Research has also found that integrating various methods and data sources, such as Chat GPT, NLP, and RL models, along with traffic flow data, public transportation data, and travel survey data [43][44][45], can further uncover the dynamic characteristics and evolving trends of urban street transportation systems.…”

Section: Discussionmentioning

confidence: 99%

Research on Urban Street Network Structure Based on Spatial Syntax and POI Data

Yang,

Jin,

2024

Sustainability

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The rapid development of cities has led to increasingly problems in the road network structure of urban streets. Combining emerging big data technology with traditional street network analysis methods has become a new way to tackle it. Guilin is a famous international tourist city, and the “Two Rivers and Four Lakes” scenic area is an iconic symbol of Guilin’s scenery. Its streets connect various tourist spots. This study focused on the street’s layout of the “Two Rivers and Four Lakes” scenic area, and used a combination of spatial syntax and POI big data to analyse their spatial structure. The research results indicated that: (1) there was a positive correlation between the global integration value of the street and the POI value; (2) by combining functional density indicators with global integration analysis, streets that significantly deviate from the overall trend can be identified, and classified according to their characteristics to reveal the reasons for their contradictions; (3) we needed to propose three plans for optimizing the proportion of high street, enhancing street functions, and “improving street space” for different types of streets to ultimately realize the purpose of sustainable development of streets and cities.

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