scholarly journals Bus ridership and its determinants in Beijing: A spatial econometric perspective

2022 ◽  
Author(s):  
Jiaoe Wang ◽  
Yanan Li ◽  
Jingjuan Jiao ◽  
Haitao Jin ◽  
Fangye Du
Keyword(s):  
Spatial Autocorrelation ◽  
Temporal Dynamics ◽  
Spatial Dynamics ◽  
Central Business District ◽  
Analytical Framework ◽  
Residential Areas ◽  
Basic Study ◽  
Factors Affecting ◽  
Temporal And Spatial ◽  
Business District

AbstractUnderstanding the temporal and spatial dynamics and determinants of public transport ridership play an important role in urban planning. Previous studies have focused on exploring the determinants at the station level using global models, or a local model, geographically weighted regression (GWR), which cannot reveal spatial autocorrelation at the global level. This study explores the factors affecting bus ridership considering spatial autocorrelation using the spatial Durbin model (SDM). Taking the community in Beijing as the basic study unit, this study aims to explore the temporal and spatial dynamics of bus ridership and identify its key determinants considering neighboring effects. The results show the following: (1) The temporal dynamics are quite distinct on weekdays and weekends as well as at different time slots of the day. (2) The spatial patterns of bus ridership varied across different time slots, and the hot areas are mainly located near the central business district (CBD), transport hubs, and residential areas. (3) Key determinants of bus ridership varied across weekends and weekdays and varied at different time slots per day. (4) The spatial neighboring effects had been verified. This study provides a common analytical framework for analyzing the spatiotemporal dynamics and determinants of bus ridership at the community level.

Temporal and Spatial Dynamics of the New Residential Areas around Tallinn

2009 ◽  
Vol 17 (3) ◽  
pp. 423-439 ◽  
Author(s):  
Tiit Tammaru ◽  
Kadri Leetmaa ◽  
Siiri Silm ◽  
Rein Ahas
Keyword(s):  
Spatial Dynamics ◽  
Residential Areas ◽  
Temporal And Spatial

scholarly journals Episodic Dynamics of Tar Spot of Annual Lespedeza Within and Among Years

Plant Disease ◽  
1997 ◽  
Vol 81 (5) ◽  
pp. 535-540 ◽  
Author(s):  
J. D. Mihail ◽  
R. L. McGraw ◽  
P. E. Verslues ◽  
S. J. Taylor
Keyword(s):  
Disease Severity ◽  
Temporal Dynamics ◽  
Disease Incidence ◽  
Spatial Dynamics ◽  
Silty Clay ◽  
Disease Dynamics ◽  
Silty Clay Loam ◽  
Row Crops ◽  
Tar Spot ◽  
Temporal And Spatial

The temporal and spatial dynamics of six tar spot epidemics were examined at two sites in mid-Missouri during 1990 to 1992. The sites, 48 km apart, differed in topography (flat versus slope), soil texture (silt loam versus silty-clay loam), and cropping history (orchard versus row crops). Temporal dynamics of disease incidence differed more among years than between sites. During 1990, temporal dynamics of the two epidemics followed a classic monotonic increase, whereas disease increase was episodic for the four epidemics observed during 1991 and 1992. Disease increase was associated with shading of the plant canopy or with the presence of dodder. Disease increase was related inversely to intercepted photosynthetically active radiation. Taken together, these observations suggest that factors that increase shading in the lespedeza canopy also increase tar spot incidence. For only two of the six epidemics was there a significant relationship between disease incidence (proportion of leaflets diseased) and disease severity (proportion of leaflet area diseased), with disease severity rarely exceeding 10%. These observations suggest that relatively low tar spot incidence may result in significant leaf losses, which would reduce lespedeza hay quality and yield. Further, this study demonstrates the importance of experimental repetition in both space and time to fully appreciate the range of disease dynamics for a single pathosystem.

scholarly journals Methodological Proposal for the Study of Temporal and Spatial Dynamics during the Late Period between the Middle Ebro and the Pyrenees

Information ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 366 ◽  
Author(s):  
Leticia Tobalina Pulido
Keyword(s):  
Spatial Databases ◽  
Temporal Dynamics ◽  
Methodological Approach ◽  
Spatial Dynamics ◽  
Descriptive Statistics ◽  
Late Period ◽  
Rural Settlements ◽  
Spatial And Temporal Dynamics ◽  
Temporal And Spatial ◽  
Space Occupation

The article I present here deals with the methodological approach carried out in my PhD in which I analyzed the spatial and temporal dynamics of late rural settlements during five centuries in the southern Pyrenees area, using geographic information systems, spatial databases, and descriptive statistics to establish models of space occupation and try to determine how these vary over the different centuries.

Distribution of SO2 and the Meteorological Factors in Yantai Urban Areas from 2008 to 2010

2011 ◽  
Vol 356-360 ◽  
pp. 2118-2123 ◽  
Author(s):  
Ming Chang ◽  
Wei Liu ◽  
Xiu Li Zhang ◽  
Yong Zhi Ji ◽  
Jian Guo Song
Keyword(s):  
Urban Areas ◽  
Meteorological Factors ◽  
Impact Factors ◽  
Residential Areas ◽  
Temporal And Spatial Distribution ◽  
Factors Affecting ◽  
Pollutant Concentrations ◽  
Distribution Features ◽  
Main Factors ◽  
Temporal And Spatial

The purpose is to study the temporal and spatial distribution features of SO2 and its relationship with impact factors such as wind, humidity and precipitation in urban areas of Yantai. The results demonstrate that the emission of SO2 had been capable controlled from 2008 to 2010. The meteorological conditions also take the key part in spread of SO2, wind and precipitation are the main factors affecting of it in Yantai. Concentrations change significantly with seasons, which remain low in vast majority of periods. Contamination is generally concentrated in the range of major pollution sources within 7 kilometers. And it implies that after the reduction of SO2 pollutant concentrations, the planning and adjustment of industrial areas and residential areas still need to be paid attention.

scholarly journals Temporal and spatial dynamics in the apple flower microbiome in the presence of the phytopathogen Erwinia amylovora

2020 ◽  
Author(s):  
Zhouqi Cui ◽  
Regan B. Huntley ◽  
Quan Zeng ◽  
Blaire Steven
Keyword(s):  
Fire Blight ◽  
Erwinia Amylovora ◽  
Temporal Dynamics ◽  
Spatial Dynamics ◽  
Potential Interaction ◽  
Specific Gene ◽  
Large Populations ◽  
Single Flower ◽  
Temporal And Spatial ◽  
Blight Disease

AbstractPlant microbiomes have important roles in plant health and productivity. However, despite flowers being directly linked to reproductive outcomes, little is known about the microbiomes of flowers and their potential interaction with pathogen infection. Here, we investigated the temporal dynamics and spatial traits of the apple stigma microbiome when challenged with a phytopathogen Erwinia amylovora, the causal agent of fire blight disease. We profiled the microbiome from the stigmas of a single flower, greatly increasing the resolution at which we can characterize shifts in the composition of the microbiome. Individual flowers harbored unique microbiomes at the OTU level. However, taxonomic analysis of community succession showed a population gradually dominated by bacteria within the families Enterobacteriaceae and Pseudomonadaceae. Flowers inoculated E. amylovora established large populations of the phytopathogen, with pathogen specific gene counts of >3.0 × 107 in 90% of the flowers. Yet, only 42% of inoculated flowers later developed fire blight symptoms. This reveals pathogen amount on the stigma is not sufficient to predict disease outcome. Our data demonstrate that apple flowers represent an excellent model in which to characterize how plant microbiomes establish, develop, and interact with biological processes such as disease progression in an experimentally tractable plant organ.

scholarly journals Biodiversity and Spatial-Temporal Dynamics of Margalefidinium Species in Jiaozhou Bay, China

2021 ◽  
Vol 18 (21) ◽  
pp. 11637
Author(s):  
Shuya Liu ◽  
Mengjia Zhang ◽  
Yongfang Zhao ◽  
Nansheng Chen
Keyword(s):  
Temporal Dynamics ◽  
Harmful Algal Bloom ◽  
Jiaozhou Bay ◽  
Spatial Dynamics ◽  
High Genetic Diversity ◽  
Sequence Variations ◽  
Main Driver ◽  
Temporal And Spatial ◽  
Shed Light ◽  
Rule Out

Many Margalefidinium species are cosmopolitan harmful algal bloom (HAB) species that have caused huge economic and ecological damage. Despite extensive research on Margalefidinium species, the biodiversity and spatial-temporal dynamics of these species remain obscure. Jiaozhou Bay is an ideal area for HAB research, being one of the earliest marine survey areas in China. In this study, we carried out the first metabarcoding study on the temporal and spatial dynamics of Margalefidinium species using the 18S rDNA V4 region as the molecular marker and samples collected monthly at 12 sampling sites in Jiaozhou Bay in 2019. Two harmful Margalefidinium species (M. polykrikoides and M. fulvescens) were identified with potentially high genetic diversity (although we cannot rule out the possibility of intra-genome sequence variations). Both M. polykrikoides and M. fulvescens demonstrated strong temporal preference with a sharp peak of abundance in early autumn (September), but without showing strong location preference in Jiaozhou Bay. Our results revealed that temperature might be the main driver for their temporal dynamics. Knowledge of biodiversity and spatial-temporal dynamics of the Margalefidinium species may shed light on the understanding of mechanisms underlying strongly biased occurrences of Margalefidinium blooms recorded globally.

scholarly journals Spatial dynamics of land cover in the Sdamas region (Tiaret, Algeria)

2018 ◽  
Vol 27 (1) ◽  
pp. 12-19
Author(s):  
Mohamed Azzaoui ◽  
Benchohra Maamar ◽  
Leila Soudani ◽  
Belgacem Nouar ◽  
Mohamed Berreyah ◽  
...  
Keyword(s):  
Land Cover ◽  
Temporal Dynamics ◽  
Spatial Dynamics ◽  
Ground Level ◽  
Human Action ◽  
Mineral Surfaces ◽  
Factors Affecting ◽  
Spatial And Temporal Dynamics ◽  
Landsat Satellite ◽  
Bare Soils

The Sdamas massif to which our contribution relates is located in West Algeria, it is an integral part of the Tiaret mountains. The aim of our study is to analyze the land cover of the Sdamas region over a 43-year interval grouped into 9 thematic classes: mineral surfaces (urban planning), wetland, vegetation, bare soils and fallow etc. The spatial and temporal dynamics of land use require regular monitoring of vegetation cover from remote sensing imagery. It is for this reason that we relied on field data to perform the diachronic analysis with three well-defined scenes 1972, 1998 and 2015, using Landsat satellite images (MSS, TM and ETM +). The analysis of these maps covering the same region shows the different changes that have taken place at ground level. We found that our natural plant space has undergone a strong degradation, disruption and regression because of different human activities, namely: overgrazing, clearing, fires, urbanization, (there has been a remarkable increase in the population of the communes of the study area). Inadequate and ineffective forestry interventionsand work, and lack of sustained protection are reasons of these processes. Factors affecting the forest ecosystem are bioclimate and human action. Indeed, the bioclimate, through atmospheric drought, is the main factor governing the diversity of these formations of the Sdamas mountains.

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