scholarly journals ANALYSIS OF CAUSES OF SUBSIDENCE IN THE AREA NEAR UJUNGNEGORO STATION, BATANG REGENCY

2021 ◽  
Vol 16 (1) ◽  
pp. 9-16
Author(s):  
Wisyanto Wisyanto
Keyword(s):  
Human Mobility ◽  
Transportation Network ◽  
Clay Content ◽  
Rail Network ◽  
Railroad Tracks ◽  
Local Topography ◽  
Groundwater Basin ◽  
Main Factors ◽  
Content Factor ◽  
Geoelectric Data

Changes in human activities from time to time increase rapidly. This activity requires the support of a reliable transportation network. Railroad land transportation is the main choice to overcome the impasse of human mobility and distribution of goods. It is known that this type of transportation does not intersect with other means of transportation so that it is free from congestion. For the sake of smoothness and safety in the use of trains, proper maintenance of the rail network is needed. Land subsidence supporting the railroad tracks is a common event that disrupts the functioning of the railroad and is part of maintenance. One of the subsidence that often occurs on the railroad tracks is a subsidence on the railroad tracks around Ujungnegoro Station. To find out the cause, an analysis of geoelectric data, groundwater basin conditions and local topography has been carried out on it. The results of the analysis that have been carried out conclude that the clay content factor and the concentration of water flow are the main factors causing subsidence.

Network dynamics on the Chinese air transportation multilayer network

2021 ◽  
pp. 2150070
Author(s):  
Yong Yang ◽  
Kai-Jun Xu ◽  
Chen Hong
Keyword(s):  
Success Rate ◽  
Transportation Networks ◽  
Human Mobility ◽  
Transportation Network ◽  
Air Transportation ◽  
Transfer Number ◽  
Multilayer Network ◽  
Scheduling Model ◽  
Network Mechanism ◽  
Random Failures

Air transportation networks play important roles in human mobility. In this paper, from the perspective of multilayer network mechanism, the dynamics of the Chinese air transportation network are extensively investigated. A multilayer-based passengers re-scheduling model is introduced, and a multilayer cooperation (MC) approach is proposed to improve the efficiency of network traffic under random failures. We use two metrics: the success rate and the extra transfer number, to evaluate the efficiency of re-scheduling. It is found that a higher success rate of passengers re-scheduling can be obtained by MC, and MC is stronger for resisting the instability of the capacity of links. Furthermore, the explosion of the number of extra transfer can be well restrained by MC. Our work will highlight a better understanding of the dynamics and robustness of the Chinese air transportation network.

scholarly journals Changing travel patterns in China during the early stages of the COVID-19 pandemic

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Hamish Gibbs ◽  
◽  
Yang Liu ◽  
Carl A. B. Pearson ◽  
Christopher I. Jarvis ◽  
...  
Keyword(s):  
Public Health ◽  
Human Mobility ◽  
Transportation Network ◽  
Mainland China ◽  
Disease Spread ◽  
Travel Patterns ◽  
Network Analyses ◽  
Early Stages ◽  
Travel Restrictions ◽  
Spatio Temporal

Abstract Understanding changes in human mobility in the early stages of the COVID-19 pandemic is crucial for assessing the impacts of travel restrictions designed to reduce disease spread. Here, relying on data from mainland China, we investigate the spatio-temporal characteristics of human mobility between 1st January and 1st March 2020, and discuss their public health implications. An outbound travel surge from Wuhan before travel restrictions were implemented was also observed across China due to the Lunar New Year, indicating that holiday travel may have played a larger role in mobility changes compared to impending travel restrictions. Holiday travel also shifted healthcare pressure related to COVID-19 towards locations with lower healthcare capacity. Network analyses showed no sign of major changes in the transportation network after Lunar New Year. Changes observed were temporary and did not lead to structural reorganisation of the transportation network during the study period.

scholarly journals Semi quantitative forecasts for Baghmati/Adhwara Group of rivers/Kamala Balan catchments by synoptic analogue technique

MAUSAM ◽  
2021 ◽  
Vol 61 (3) ◽  
pp. 337-348
Author(s):  
K. M. SINGH ◽  
M. C. PRASAD ◽  
G. PRASAD
Keyword(s):  
Precipitation Forecast ◽  
Steep Gradient ◽  
South West ◽  
Quantitative Precipitation Forecast ◽  
South West Monsoon ◽  
Local Topography ◽  
Quantitative Precipitation Forecasts ◽  
Main Factors ◽  
West Monsoon

An attempt has been made to issue semi-quantitative precipitation forecasts for Baghmati/Adhwara Group of rivers/Kamala-Balan catchments based upon 22 years data (1982-2003). The study reveals that it is possible to issue semi-quantitative precipitation forecast with confidence. Local topography and its steep gradient on Indo-Nepal Border are main factors that give birth to severe floods during south west monsoon and pose problems to Darbhanga City.

scholarly journals Changing travel patterns in China during the early stages of the COVID-19 pandemic

2020 ◽  
Author(s):  
Hamish Gibbs ◽  
Yang Liu ◽  
Carl AB Pearson ◽  
Christopher I Jarvis ◽  
Chris Grundy ◽  
...  
Keyword(s):  
Public Health ◽  
Human Mobility ◽  
Transportation Network ◽  
Mainland China ◽  
Disease Spread ◽  
Travel Patterns ◽  
Network Analyses ◽  
Early Stages ◽  
Travel Restrictions ◽  
Spatio Temporal

Understanding changes in human mobility in the early stages of the COVID-19 pandemic is crucial for assessing the impacts of travel restrictions designed to reduce disease spread. Here, relying on data from mainland China, we investigated the spatio-temporal characteristics of human mobility between 1st January and 1st March 2020 and discussed their public health implications. An outbound travel surge from Wuhan before travel restrictions were implemented was also observed across China due to the Lunar New Year, indicating that holiday travel may have played a larger role in mobility changes compared to impending travel restrictions. Holiday travel also shifted healthcare pressure related to COVID-19 towards locations with lower access to care. Network analyses showed no sign of major changes in the transportation network after Lunar New Year. Changes observed were temporary and have not yet led to structural reorganisation of the transportation network at the time of this study.

Discovery of Public Transportation Patterns Through the Use of Big Data Technologies for Urban Mobility

2019 ◽  
Author(s):  
Hugo Antunes ◽  
Paulo Figueiras ◽  
Ruben Costa ◽  
Joel Teixeira ◽  
Ricardo Jardim-Gonçalves
Keyword(s):  
Big Data ◽  
Public Transport ◽  
Public Transportation ◽  
Urban Areas ◽  
Human Mobility ◽  
Transportation Network ◽  
Transport Network ◽  
Special Focus ◽  
Mobility Patterns ◽  
Big Data Technologies

Abstract Big cities show a wide public transport network that allows people to travel within the cities. However, with the overcrowding of big urban areas, the demand for new mobility strategies has increasing. Every day, citizens need to commute fast, easily and comfortable, which is not always easy due to the complexity of the public transport network. Therefore, this paper aims to explore the ability of Big Data technologies to cope with data collected from public transportation, by inferring automatically and continuously, complex mobility patterns about human mobility, in the form of insightful indicators (such as connections, transshipments or pendular movements), creating a new perspective in public transports data analytics. With special focus on the Lisbon public transport network, the challenge addressed by this work, is to analyze the demand and supply side of transportation network of Lisbon metropolitan area, considering ticketing data provided by the different transportation operators, which until now were essentially obtained through observation methods and surveys.

Developing an Empirical Pipeline and Rail Crude Oil Mode Split and Route Assignment Model

2018 ◽  
Vol 2672 (9) ◽  
pp. 261-272
Author(s):  
Adam Morrison ◽  
Chris Bachmann ◽  
Frank Saccomanno
Keyword(s):  
Crude Oil ◽  
Transportation Network ◽  
Network Connectivity ◽  
Modal Shift ◽  
Rail Network ◽  
Assignment Model ◽  
Mode Split ◽  
Demand Models ◽  
Oil Flow ◽  
Keystone Xl

In recent years, improvements in pipeline capacities and connectivity have been inhibited by environmental and political concerns (e.g., the Dakota and Keystone XL pipeline expansion projects). This has resulted in a greater dependency on rail transport, and this modal shift of crude oil from pipeline to rail is likely to become more pronounced in the future. Therefore, there is a need to assess the impacts of future changes in pipeline/rail network connectivity, modal attributes, and shipment protocols, on the expected pattern of crude oil shipments. This paper presents a rule-based mode split and route assignment model that reflects real-world allocation, assignment, and apportionment rules. The decision-making process underlying this model is the shipper, who is prioritized by the carrier when there is limited pipeline capacity available. The proposed algorithm allows for the inclusion of crude oil shipments and the pipeline network into conventional freight demand models by capturing the complex interactions of crude shippers, pipeline carriers, and regulatory bodies. This paper demonstrates how the model can be used to predict changes in Canadian crude oil flow patterns and mode shares subject to changes in specific transportation network attributes or crude oil demands.

scholarly journals Spatial and Socio-Classification of Traffic Pollutant Emissions and Associated Mortality Rates in High-Density Hong Kong via Improved Data Analytic Approaches

2021 ◽  
Vol 18 (12) ◽  
pp. 6532
Author(s):  
Hugo Wai Leung Mak ◽  
Daisy Chiu Yi Ng
Keyword(s):  
Hong Kong ◽  
Human Mobility ◽  
Transportation Network ◽  
High Density ◽  
Neighborhood Environment ◽  
Pollutant Emissions ◽  
Traffic Emission ◽  
Social Habits ◽  
Processing Techniques ◽  
Data Analytic

Excessive traffic pollutant emissions in high-density cities result in thermal discomfort and are associated with devastating health impacts. In this study, an improved data analytic framework that combines geo-processing techniques, social habits of local citizens like traffic patterns and working schedule and district-wise building morphologies was established to retrieve street-level traffic NOx and PM2.5 emissions in all 18 districts of Hong Kong. The identification of possible human activity regions further visualizes the intersection between emission sources and human mobility. The updated spatial distribution of traffic emission could serve as good indicators for better air quality management, as well as the planning of social infrastructures in the neighborhood environment. Further, geo-processed traffic emission figures can systematically be distributed to respective districts via mathematical means, while the correlations of NOx and mortality within different case studies range from 0.371 to 0.783, while varying from 0.509 to 0.754 for PM2.5, with some assumptions imposed in our study. Outlying districts and good practices of maintaining an environmentally friendly transportation network were also identified and analyzed via statistical means. This newly developed data-driven framework of allocating and quantifying traffic emission could possibly be extended to other dense and heavily polluted cities, with the aim of enhancing health monitoring campaigns and relevant policy implementations.

scholarly journals Entangled footprints: Understanding urban neighbourhoods by measuring distance, diversity, and direction of flows in Singapore

2021 ◽  
Author(s):  
Qingqing Chen ◽  
I-Ting Chuang ◽  
Ate Poorthuis
Keyword(s):  
New Technologies ◽  
Human Mobility ◽  
Transportation Network ◽  
Spatial Regression ◽  
Rental Housing ◽  
Urban Network ◽  
Urban Neighbourhoods ◽  
Spatio Temporal ◽  
Traditional Approaches ◽  
Future Work

Traditional approaches to human mobility analysis in Geography often rely on census or survey data that is resource-intensive to collect and often has a limited spatio-temporal scope. The advent of new technologies (e.g. geosocial media platforms) provides opportunities to overcome these limitations and, if properly leveraged, can yield more granular insights about human mobility. In this paper, we use an anonymized Twitter dataset collected in Singapore from 2012 to 2016 to investigate this potential to help understand the footprints of urban neighbourhoods from both a spatial and a relational perspective.We construct home-to-destination networks of individual users based on their inferred home locations. In aggregated form, these networks allow us to analyze three specific mobility indicators at the neighbourhood level, namely the distance, diversity, and direction of urban interactions. By mapping these three indicators of the spatial footprint of each neighbourhood, we can capture the nuances in the position of individual neighbourhoods within the larger urban network. An exploratory spatial regression reveals that socio-economic characteristics (e.g. share of rental housing) and the built environment (i.e. land use) only partially explain these three indicators and a residual analysis points to the need to explicitly include each neighbourhood's position within the transportation network in future work.

scholarly journals Aquifer Area Investigation Using Resistivity Method in Cikopomayak, West Java, Indonesia

2018 ◽  
Vol 16 (3) ◽  
pp. 19
Author(s):  
Josua Washington Sihotang ◽  
Rodrigo Osvaldus ◽  
Danny Bona Tua Munte ◽  
Nasib Priono ◽  
Febriwan Mohamad
Keyword(s):  
Gamma Ray ◽  
Fine Sand ◽  
Research Area ◽  
West Java ◽  
Aquifer System ◽  
Resistivity Method ◽  
Groundwater Basin ◽  
The Right ◽  
Resistivity Log ◽  
Geoelectric Data

Administratively, the research area is located in around Cikopomayak Village, Jasinga, Bogor, West Java,Indonesia. Based on the Hydrogeological and Groundwater Basin Map, this research area was classied to non-potential groundwater basin. In addition, when the summer comes, the lack of water will be happened around the area. Consequently, the water reserve wasn't enough to fulll the necessity of freshwater. Thus, the research about identifying aquifer location was needed. This research aims to determine the depth and thickness of aquifer for the alternative ways to overcome the problem, particularly, for the Cikopomayak Village. Theresearch used the geophysical method by modeling the several data such as Geoelectric 1-D to know the aquifer location based on the section of medium resistivity value. Then, the geoelectric data was correlated to the borehole drilling data that is Gamma Ray (GR) Log, Spontaneous Potential (SP) Log, Resistivity Log, and the cutting data. Commonly, the most suitable lithology for an aquifer is sandstone because of its good characteristic of permeability and porosity. Logging data result will show the small value of GR log, SP Log lean-ing to the right, and low-value resistivity for indicating the aquifer zone. Based on geoelectric data, the research zone has 3 groups of resistivity value and lithology that are shaly clay-stone and siltstone with low-value resistivity (0-50 ohm.m), sandy claystone, medium sandstone, and coarse sandstone with medium value resistivity (50-150 ohm.m), fine sand-stone, sandy claystone, and andesite with high-value resistivity (> 150ohm.m). The aquifer system in the research area was classied into 3 groups that are aquifer, aquitard, andaquiqlud.

scholarly journals MODELLING OF INTERMODAL FREIGHT TRANSPORTATION NETWORK

Transport ◽  
2002 ◽  
Vol 17 (3) ◽  
pp. 117-121 ◽  
Author(s):  
Aidas Vasilis Vasiliauskas
Keyword(s):  
Data Base ◽  
Transportation Network ◽  
Freight Transportation ◽  
Intermodal Transportation ◽  
Freight Traffic ◽  
Main Factors ◽  
Cargo Transportation ◽  
Intermodal Freight ◽  
Mode Of Transport ◽  
Terminal Operations

It was realized long ago that one of the main factors for steady groowing economic of the country is a properly working transport system in which new enough means of cargo transportation, so called intermodal transportation takes not the last place. First of all it raises problems related with the development and optimization of proper infrastructure - the network of roads and terminals which aim to carry out intermodal transportation. The article deals with one of possible ways of modelling the national intermodal freight transportation network. The basis for such model is the investigation of freight traffic during which we identifY the routes for intermodal freight transportation (as well as places where such freight is shifted from one mode of transport to another), extend the existing statistic date base on modal transport carriages and start to develop a new data base on intermodal freight carriages. With the help of the last one we can go further in modelling national intermodal freight transportation network and determine the steps for creating such network. The main steps should include: - the integration of the particular modal networks into a general intermodal network; - the optimization of the network defining optimal routes between possible origin and destination points; - the estimation of terminal operations to get a more detailed and optimal view of the national intermodal cargo transportation network.

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