scholarly journals Modeling Influencing Factors for Passenger Flow Growth of Modern Trams Using System Dynamics Method

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Mao Ye ◽  
Ninghui Yang ◽  
Zhibin Li ◽  
Lingling Ma ◽  
Yajing Chen
Keyword(s):  
System Dynamics ◽  
Influencing Factors ◽  
Early Stage ◽  
Land Development ◽  
Service Level ◽  
Study Data ◽  
Extreme Condition ◽  
Passenger Flow ◽  
Planning And Design

Modern trams have been widely used around the world, especially in China. This paper explores the main influencing factors of modern trams’ passenger flow at the early operational stage. The system dynamics model is adopted for dealing with the problem on hand. Tram Line 1 in Huai’an, Jiangsu Province, China is selected as the case study. Data are collected using the RP and SP survey. The sensitivity test and extreme condition test are performed. The simulation results demonstrate that four variables (i.e., land development intensity, fares, service level, and transfer efficiency) significantly affect passenger flow. Land development intensity is the most significant factor, and the effect of service level on passenger flow is higher than that of the fares. The departure interval of 10 minutes is the maximum psychological limit that passengers can bear, and 2 RMB is a reasonable price. Such conclusions can provide guidance for the planning and design of modern trams and address the problem of shortage of passengers at an early stage.

Early Warning Mechanism for the Surge of Passengers in Metro Systems Based on Automated Fare Collection Data: Case Study of Guangzhou, China

2019 ◽  
Vol 2673 (4) ◽  
pp. 917-929 ◽  
Author(s):  
Ning Huan ◽  
Enjian Yao ◽  
Binbin Li
Keyword(s):  
Early Warning ◽  
Traffic Control ◽  
Safety Management ◽  
Early Stage ◽  
Point Of View ◽  
Control Measures ◽  
Passenger Flow ◽  
Early Warning Mechanism ◽  
Metro Systems

Recently, surges of passengers caused by large gatherings, temporary traffic control measures, or other abnormal events have frequently occurred in metro systems. From the standpoint of the operation managers, the available information about these outside events is incomplete or delayed. Unlike regular peaks of commuting, those unforeseen surges pose great challenges to emergency organization and safety management. This study aims to assist managers in monitoring passenger flow in an intelligent manner so as to react promptly. Compared with the high cost of deploying multisensors, the widely adopted automated fare collection (AFC) system provides an economical solution for inflow monitoring from the application point of view. In this paper, a comprehensive framework for the early warning mechanism is established, including four major phases: data acquisition, preprocessing, off-line modeling, and on-line detection. For each station, passengers’ tapping-on records are gathered in real time, to be further transformed into a dynamic time series of inflow volumes. Then, a sequence decomposition model is formulated to highlight the anomaly by removing its inherent disturbances. Furthermore, a novel hybrid anomaly detection method is developed to monitor the variation of passenger flow, in which the features of inflow patterns are fully considered. The proposed method is tested by a numerical experiment, along with a real-world case study of Guangzhou metro. The results show that, for most cases, the response time for detection is within 5 min, which makes the surge phenomenon observable at an early stage and reminds managers to make interventions appropriately.

scholarly journals Economic and Environmental Impacts of Cropping Pattern Elements Using Systems Dynamics

2019 ◽  
Vol 5 (5) ◽  
pp. 1020-1032 ◽  
Author(s):  
Masoumeh Hashemi ◽  
Hamed Mazandarani Zadeh ◽  
Peyman Daneshkare Arasteh ◽  
Mehdi Zarghami
Keyword(s):  
Water Resources ◽  
System Dynamics ◽  
Agricultural Sector ◽  
Extreme Condition ◽  
Groundwater Depletion ◽  
Systems Dynamics ◽  
Cropping Pattern ◽  
Agricultural Water Management ◽  
Cropping Patterns

Tragedies arising from poor water resources management and planning are significantly more relevant than climate change and frequent natural droughts, especially in arid and semi-arid areas. Nearly 92% of total water is allocated to the agricultural sector in Iran. In this situation, cultivation patterns play an important role in agricultural water management. Evaluating the effect of each crop would help the stakeholders make a rational decision in choosing appropriate cropping patterns to avoid groundwater depletion as well as maintain their livelihoods. The Qazvin plain in Iran, whose aquifer has had a drawdown of nearly 20m during the last 15 years, was used in this case study. It has been modeled using system dynamics, which includes two subsystems: hydrology, for calculating groundwater level, and economy, for defining farmer’s income in the years from 1997 to 2011. The system dynamics, which included 17 crops, was developed after calibration by simple genetic algorithm and verification under extreme condition tests. To identify the economic and environmental effect of each of the crops, the system dynamics was run 18 times, removing crops one by one. It has been found that wheat plays an important role in causing a negative water balance but does not affect the farmers’ incomes as significantly as grapes. Two indicators, which included sustainable water resources and water exploitation, were employed to assess the scenarios as well. According to the results, no scenarios are fully sustainable for maintaining a steady aquifer, but scenario 1, which removed wheat from the cropping pattern, is the most sustainable and puts the least pressure on the aquifer. 

scholarly journals Choreographies of entrepreneurship. How different formats of co-presence are combined to facilitate knowledge creation in seed accelerator programs

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Andreas Kuebart ◽  
Oliver Ibert
Keyword(s):  
Organizational Development ◽  
Knowledge Creation ◽  
Social Dynamics ◽  
Early Stage ◽  
Study Data ◽  
Relational Distance ◽  
New Perspective ◽  
Start Ups ◽  
Collaborative Knowledge

Abstract This paper explores different functions of co-presence for collaborative knowledge creation in the context of seed accelerator programs. Seed accelerators offer programs of three to six months to enhance the growth of early-stage start-ups through various means of training and organizational development. In this paper, seed accelerator programs are analysed as orchestrated sequences of different types of physical co-presence. By drawing on qualitative case study data, the paper identifies eight different ways in which physical co-presence is used during seed accelerator programs. Through these eight types of co-presence, the analysis reveals that physical co-presence unfolds unique social dynamics that are utilized in a carefully designed combination of presence and absence. It is shown that physical co-presence is a means to enact relational distance and to bridge this distance for the benefit of the entrepreneurial process. Therefore, this paper adds a new perspective on how co-presence is used to facilitate the generation of value through collaborative knowledge creation.

Removing Self-stigma: The Successes of People with Schizophrenia in Removing Self-stigma Through Self-control

2018 ◽  
Vol 33 (3) ◽  
Author(s):  
Franciscus Adi Prasetyo ◽  
Jajang Gunawijaya
Keyword(s):  
Sampling Technique ◽  
Self Esteem ◽  
Study Data ◽  
Self Control ◽  
Study Quality ◽  
Data Display ◽  
Case Study Approach ◽  
Study Approach ◽  
Depth Interviews

Self-stigma experienced by people who experience schizophrenia has influence on reduced self-esteem, on powerlessness, the weakening of hope, and a motivation towards recovery. The aim of this study is to explain the efforts of people suffering schizophrenia to manage their self-stigma through self-control, using a case study approach. Based on the purposive sampling technique, five people with schizophrenia were selected as the cases to be studied. Data collection techniques utilized in-depth interviews, observation, and documentary studies. The analysis of the study data employed the stages of data reduction, data display, and data verification. Improvement in study quality employed the triangulation of data sources by checking the data to determine its consistency. The results of this study indicate that people with schizophrenia who have the ability to self-control can overcome self-stigma through changes in the manner of viewing themselves, self-training through activities, having endurance, having an honest approach, being able to explain schizophrenia from a positive viewpoint, having initiative, and having a positive attitude and the courage to face challenges.

ELECTRIC VEHICLE BATTERY RECYCLING: SYSTEM DYNAMICS GAME BASED ANALYSIS FOR THE INFLUENCING FACTORS

2019 ◽  
Vol 18 (5) ◽  
pp. 1123-1136 ◽  
Author(s):  
Dong Mu ◽  
Xin Li ◽  
Jianbang Du ◽  
Yongwei Cheng ◽  
Salman Hanif ◽  
...  
Keyword(s):  
System Dynamics ◽  
Electric Vehicle ◽  
Influencing Factors ◽  
Recycling System ◽  
Battery Recycling ◽  
Electric Vehicle Battery

A Proof for the Possibility of Ce-Oxide from CMP Residuals in Si-Wafers by Analytical TEM

2012 ◽  
Author(s):  
Wayne Zhao ◽  
Liem Do Thanh ◽  
Michael Gribelyuk ◽  
Mary-Ann Zaitz ◽  
Wing Lai
Keyword(s):  
Technology Development ◽  
Early Stage ◽  
Chemical Mechanical Planarization ◽  
Particle Cluster ◽  
Limited Region ◽  
Physical Evidence ◽  
Analytical Tem ◽  
Transmission Electron ◽  
Oxide Particles

Abstract Inclusion of cerium (Ce) oxide particles as an abrasive into chemical mechanical planarization (CMP) slurries has become popular for wafer fabs below the 45nm technology node due to better polishing quality and improved CMP selectivity. Transmission electron microscopy (TEM) has difficulties finding and identifying Ce-oxide residuals due to the limited region of analysis unless dedicated efforts to search for them are employed. This article presents a case study that proved the concept in which physical evidence of Ce-rich particles was directly identified by analytical TEM during a CMP tool qualification in the early stage of 20nm node technology development. This justifies the need to setup in-fab monitoring for trace amounts of CMP residuals in Si-based wafer foundries. The fact that Cr resided right above the Ce-O particle cluster, further proved that the Ce-O particles were from the wafer and not introduced during the sample preparation.

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