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The rapid process of urbanization aggravates the imbalance between the supply and demand of urban public services. Urban parks are among the most important urban public services, and their use efficiency has been an important index for urban planning. Therefore, it is essential to estimate well their service area and influencing factors. Traditional survey data used to analyze the characteristics of urban park services are limited by small samples and high cost. Owing to thriving information communication technologies, vast amounts of human activity data have become available that enable understanding of human travel behavior. In this study, we analyzed a park service area, which is defined as the zone of influence of individual parks, in Beijing, and the factors that influence the service area. First, the service area was estimated using 1-SDE based on mobile phone signaling data. A multiple linear regression model was then used to analyze the influence of factors on the park service area. The results show that (1) external factors including population density, the number of commercial facilities, and traffic convenience have significant influences on the park service area; (2) employment places positively influence the park service area on the weekday; and (3) other factors such as park design and park reputation had inconsistent effects on the park service area, in either sign or significance, regarding the weekday and the weekend. The findings of this study will be of practical value when designing parks or undertaking city planning in the future.
Sihui Guo; Gege Yang; Tao Pei; Ting Ma; Ci Song; Hua Shu; Yunyan Du; Chenghu Zhou. Analysis of factors affecting urban park service area in Beijing: Perspectives from multi-source geographic data. Landscape and Urban Planning 2018, 181, 103 -117.
AMA StyleSihui Guo, Gege Yang, Tao Pei, Ting Ma, Ci Song, Hua Shu, Yunyan Du, Chenghu Zhou. Analysis of factors affecting urban park service area in Beijing: Perspectives from multi-source geographic data. Landscape and Urban Planning. 2018; 181 ():103-117.
Chicago/Turabian StyleSihui Guo; Gege Yang; Tao Pei; Ting Ma; Ci Song; Hua Shu; Yunyan Du; Chenghu Zhou. 2018. "Analysis of factors affecting urban park service area in Beijing: Perspectives from multi-source geographic data." Landscape and Urban Planning 181, no. : 103-117.
Intracity travel has increased significantly in second-tier cities in China, accompanied by a large number of passenger arrivals, departures, and transfers in airports, railway stations and so on. This increased travel demand has placed a strain on the surrounding traffic of such external traffic hubs. Also, the original designs of connecting lines may not be appropriate for new travel needs. Therefore, a study of passenger intracity OD (origin and destination) patterns can reveal the influence on inner-city traffic and provide a basis for urban transport planning. This research examines the rail and bus passenger OD spatial-temporal patterns of a typical second-tier city (Suzhou) in China by utilizing the Getis-Ord Gi* statistic and other statistical analyses of taxi GPS data. The results indicated the following two different functions of transport in Suzhou: tourism transport and transit transfer to external transportation. Most passengers were distributed in places of interest and commercial districts within the central town, and some passengers were distributed in other external traffic hubs. In addition, Suzhou Park Railway Station and Suzhou New District Railway Station, which are located farther away from the central town, better served passengers located in the neighborhood and facilitated the dispersal of non-tourist passengers. Furthermore, while there are some connections between several Suzhou external traffic hubs, there are no metros or shuttle buses between some related stations, such as Suzhou South Bus Passenger Station and Suzhou Railway Station. We suggest opening connection lines between these two stations.
Gege Yang; Hua Shu; Yuke Zhou. Research on intracity OD patterns of rail and Bus Passengers in a second-tier city: A case study of Suzhou, China. 2016 24th International Conference on Geoinformatics 2016, 1 -5.
AMA StyleGege Yang, Hua Shu, Yuke Zhou. Research on intracity OD patterns of rail and Bus Passengers in a second-tier city: A case study of Suzhou, China. 2016 24th International Conference on Geoinformatics. 2016; ():1-5.
Chicago/Turabian StyleGege Yang; Hua Shu; Yuke Zhou. 2016. "Research on intracity OD patterns of rail and Bus Passengers in a second-tier city: A case study of Suzhou, China." 2016 24th International Conference on Geoinformatics , no. : 1-5.
Many patients prefer to use the best hospitals even if there are one or more other hospitals closer to their homes; this behavior is called “hospital bypass behavior”. Because this behavior can be problematic in urban areas, it is important that it be reduced. In this paper, the taxi GPS data of Beijing and Suzhou were used to measure hospital bypass behavior. The “bypass behavior index” (BBI) represents the bypass behavior for each hospital. The results indicated that the mean hospital bypass trip distance value ranges from 5.988 km to 9.754 km in Beijing and from 4.168 km to 10.283 km in Suzhou. In general, the bypass shares of both areas show a gradually increasing trend. The following hospitals exhibited significant patient bypass behavior: the 301 Hospital, Beijing Children’s Hospital, the Second Affiliated Hospital of Soochow University and the Suzhou Hospital of Traditional Chinese Medicine. The hospitals’ reputation, transport accessibility and spatial distribution were found to be the main factors affecting patient bypass behavior. Although the hospital bypass phenomena generally appeared to be more pronounced in Beijing, the bypass trip distances between hospitals were found to be more significant in Suzhou.
Gege Yang; Ci Song; Hua Shu; Jia Zhang; Tao Pei; Chenghu Zhou. Assessing Patient bypass Behavior Using Taxi Trip Origin–Destination (OD) Data. ISPRS International Journal of Geo-Information 2016, 5, 157 .
AMA StyleGege Yang, Ci Song, Hua Shu, Jia Zhang, Tao Pei, Chenghu Zhou. Assessing Patient bypass Behavior Using Taxi Trip Origin–Destination (OD) Data. ISPRS International Journal of Geo-Information. 2016; 5 (9):157.
Chicago/Turabian StyleGege Yang; Ci Song; Hua Shu; Jia Zhang; Tao Pei; Chenghu Zhou. 2016. "Assessing Patient bypass Behavior Using Taxi Trip Origin–Destination (OD) Data." ISPRS International Journal of Geo-Information 5, no. 9: 157.
Climate is one of the most important factors determining the adaptive evolution of plants. In this study, 44 different populations of wild barley were used as materials to analyze the diversity of 17 genes (495 sequences), in order to study the influence of different climatic conditions on adaptive evolution of wild barley. A Geographical Information System (GIS) provided tools to visually present and analyse the geographical distribution of number of variable positions in the alignments and the differentiation index. 19 different bio factors were classified into 4 main component groups, and OLS Regression was used to analyze the differentiation coefficient of main climatic factors and the expression of gene differentiation degree. DHN family, a drought and temperature related gene family, showed significant spatial correlation with main climatic factors. Meanwhile, the results of other genes, which reported insignificant effects on drought or heat tolerance, were quite contrary. The phenotypes of plants were observed after the interaction of plant genotype with the environment. Simultaneously, the environment also has influence on some special genes. New analysis methods using GIS could be used to research the complex relationship between plant phenotype, plant genotype and the environment.
Lina Zhao; Tao Pei; Gege Yang; Chenghu Zhou. Analysis of Correlations Between Climate and Molecular Adaptive Evolution of Wild Barley with Geographical Information Systems (GIS). The Open Biotechnology Journal 2015, 9, 191 -198.
AMA StyleLina Zhao, Tao Pei, Gege Yang, Chenghu Zhou. Analysis of Correlations Between Climate and Molecular Adaptive Evolution of Wild Barley with Geographical Information Systems (GIS). The Open Biotechnology Journal. 2015; 9 (1):191-198.
Chicago/Turabian StyleLina Zhao; Tao Pei; Gege Yang; Chenghu Zhou. 2015. "Analysis of Correlations Between Climate and Molecular Adaptive Evolution of Wild Barley with Geographical Information Systems (GIS)." The Open Biotechnology Journal 9, no. 1: 191-198.