The Possibility of Big Data Spatio-Temporal Analytics for Understanding Human Behavior and Their Spatial Patterns in Urban Area

13301甲第4630号博士（学術）金沢大学博士論文本文Ful

The Possibility of Big Data Spatio-Temporal Analytics for Understanding Human Behavior and Their Spatial Patterns in Urban Area

13301甲第4630号博士（学術）金沢大学博士論文要旨Abstrac

Examining the Interaction of Taxi and Subway Ridership for Sustainable Urbanization

A transit ridership study is an essential part of sustainability, and can provide a deep understanding of people’s travel patterns for efficient transportation development and urbanization. However, there is a lack of empirical studies comparing subway and taxi services, and their interactions within a city, that is to say, the interdependent transportation networks. Incorporating new data, this study aims to examine the spatial variation of urban taxi ridership due to the impacts of a new subway line operation opened in 2014 in Wuxi, China. We examine the spatial patterns and interactions of ridership in Wuxi by integrating taxi trajectory from GPS data and subway data from continuously collected fare transactions. The results indicated that the demand for taxi and subway usage is quite elastic with respect to both location and time, and the new subway’s opening had more influence on areas adjacent to subway stations and urban center-suburban travel. Furthermore, increases in travel time and distance would increase the demand for subway, while taxi trips largely represented movements for those locations that the subway could not reach. This paper betters the understanding of travel patterns through large volumes of transportation data for sustainable urbanization policy design

Between morphology and function: How syntactic centers of the Beijing city are defined

The application of big data provides a new angle of view on investigating whether, and if so, how to define the urban center through analyzing urban spatial morphology intrinsically interacts with its functions. This article, using empirical research of the Beijing city, first seeking to explore spatial configuration-the complex relation between any pair of individual spaces regarding other contextual spaces – of urban network collected from Baidu. And then, focusing on conducting a statistical correlation between the configurational patterns of urban network and the aggregation patterns of functions. Based on the different patterns of aggregation or dispersion of those functions we discussed, as well as the multi-scale syntactic location choice underlying those patterns, it then can be identified four types of centers in the Beijing city, which may be called active center, ordinary center, brand centers and specified center, as well as the extent to which spatial layout influences functional distribution

Evacuation Simulation and Evaluation of Different Scenarios based on Traffic Grid Model and High Performance Computing

This paper describes the design and implementation of an evacuation simulation model developed based on the Traffic Grid Model in NetLogo. In this model, different scenarios were tested in order to find out the best strategy within specific environments. The model is flexible and includes many parameters to adjust to environment conditions and agent rules. These parameters can be modified to study which driving factors contribute most to drivers\u27 evacuation performance. This research also focuses on the method of results analysis and traffic performance evaluation for different combinations of two model parameters. In each experiment, we analysed metrics such as evacuation time and average car speed for each strategy under different population distribution patterns. The results showed that this model could reveal an effective evacuation strategy for realistic scenarios

Isolation and characterization of bacterial cellulose produced from soybean whey and soybean hydrolyzate

Abstract Soybean whey and soybean hydrolyzate can be used for the biotechnological production of high-value products. Herein, we isolate soybean whey (SW)-and soybean hydrolyzate (SH)-derived bacterial cellulose (BC, produced by kombucha) and characterize it by a range of instrumental techniques to reveal differences in micromorphology, crystallinity, and themal behavior. Studies have shown that the amounts of wet state BC produced from HS, SW and SH was 181 g/L, 47 g/L and 83 g/L, respectively. The instrumental analysis of BC, included SEM, AFM, FT-IR, XRD and TGA. It is shown that the FT-IR spectra of BC have a similar character, but we found differences in the micromorphology,crystallinity and thermal temperature of BC. The minimum average widths of the fibers produced from SH medium was 100 ± 29 nm. The CrI values of BC produced from SH medium was 61.8%. The maximum thermal degradation rate temperature of BC produced from SW medium was 355.73 °C. The combined results demonstrate that soybean industrial waste can be used as a cost-effective raw material for BC production

The B-Type Cyclin CYCB1-1 Regulates Embryonic Development and Seed Size in Maize

Progress through the cell cycle is a critical process during plant embryo and seed development and its progression is regulated by cyclins. Despite extensive study of cyclins in other systems, their role in embryo and seed development of maize is unclear. In this study, we demonstrate that ZmCYCB1-1 overexpression significantly accelerated embryo growth and increased seed size. In situ hybridization and toluidine blue staining indicated that ZmCYCB1-1 was highly expressed in the plumule of embryos, and the cells of the plumule were smaller, denser, and more regularly arranged in ZmCYCB1-1 overexpression plants. Overexpression of ZmCYCB1-1 in maize also resulted in an increased ear length and enhanced kernel weight by increasing kernel width. Transcriptome analysis indicated that the overexpression of ZmCYCB1-1 affected several different metabolic pathways, including photosynthesis in embryos and leaves, and lipid metabolism in leaves. Conversely, knocking out ZmCYCB1-1 resulted in plants with slow growth. Our results suggest that ZmCYCB1-1 regulates embryo growth and seed size, making it an ideal target for efforts aimed at maize yield improvement