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map navigation data  (Baidu Inc)

 
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    Baidu Inc map navigation data
    Map Navigation Data, supplied by Baidu Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/map+navigation+data/map+navigation+data/pm36613037-80-8-8
    Average 90 stars, based on 1 article reviews
    map navigation data - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    Derivative Assay:

    Article Title: An SCM-G2SFCA Model for Studying Spatial Accessibility of Urban Parks.
    Article Snippet: The data used in this study mainly included Baidu map navigation data (derived from the Baidu map application programming interface, https://lbsyun.baidu.com/, ac- cessed on 8 August 2022), parks, residential areas, population, road network, and other .. The data used in this study mainly included Baidu map navigation data (derived from the Baidu map application programming interface, https://lbsyun.baidu.com/, accessed on 8 August 2022), parks, residential areas, population, road network, and other data (Figure 2). .. Data for 902 residential areas and 31 parks in the Wuhou District, Chengdu, China, were collected, and the park Baidu score was obtained.

    other:

    Article Title: An SCM-G2SFCA Model for Studying Spatial Accessibility of Urban Parks.
    Article Snippet: Therefore, to comprehensively evaluate the spatial accessibility of urban parks, in this study, Baidu map navigation data and the park Baidu score were used to establish an SCM-G2SFCA model and to evaluate the park accessibility in the Wuhou District, Chengdu City, China.

    Article Title: An SCM-G2SFCA Model for Studying Spatial Accessibility of Urban Parks.
    Article Snippet: Therefore, based on Baidu map navigation data, in this paper, the park Baidu score is used to represent the competitive relationship among different parks, and the impact of multiple travel modes on the spatial accessibility of parks is considered.

    Article Title: An SCM-G2SFCA Model for Studying Spatial Accessibility of Urban Parks.
    Article Snippet: Data Availability Statement: The administrative division data used in this article can be found at: https://www.resdc.cn/, accessed on 8 August 2022; Baidu map navigation data can be found at: https://lbsyun.baidu.com/, accessed on 8 August 2022; population data can be found at: http: //www.cdwh.gov.cn/, accessed on 8 August 2022.

    Article Title: An SCM-G2SFCA Model for Studying Spatial Accessibility of Urban Parks.
    Article Snippet: Public Health 2023, 20, 714 4 of 17 residential area and park as the origin and destination, the planning path function of the Baidu map navigation data was used to realize travel from the entrances and exits of the residential areas and parks.

    Article Title: An SCM-G2SFCA Model for Studying Spatial Accessibility of Urban Parks.
    Article Snippet: Therefore, to enable the Baidu map navigation data to select suitable entrances and exits and formulate the best travel route, in this study, the centroids of residential areas and parks were used as the supply loca- tions.

    Article Title: Applying masked language model for transport mode choice behavior prediction
    Article Snippet: Transport mode choice behavior prediction is an important link in intelligent transportation and travel services, allowing people to choose the transport mode that suits them based on different recommendations.. Many existing studies often posit that individuals primarily select their modes of transportation based on criteria such as the shortest travel distance, the least amount of time required, or the lowest cost.. Contrary to these common assumptions, research shows a notable discrepancy between the anticipated travel behavior based on those criteria and the actual decision-making patterns observed, emphasizing the intricacy and variety in traveler preferences.

    Article Title: An SCM-G2SFCA Model for Studying Spatial Accessibility of Urban Parks.
    Article Snippet: The main con- tributions of this study are as follows. (1) Baidu map navigation data were used to more realistically simulate people’s travel information. (2) Based on the park Baidu score and various travel modes, an SCM-G2SFCA model was established to evaluate the spatial ac- cessibility of urban parks more realistically and comprehensively. (3) Empirical verifica- tion was carried out in Wuhou District, Chengdu City, Sichuan Province, China.



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