Modeling and Sensitivity Analysis for Railway Passengers’ Public Transit Mode Choice

2014 ◽  
Vol 641-642 ◽  
pp. 678-684
Author(s):  
Jian Zhang ◽  
Chun Jing Ma ◽  
Xiang Feng Ji ◽  
Gang Zhong
Keyword(s):  
Sensitivity Analysis ◽  
Prediction Accuracy ◽  
Mode Choice ◽  
Test Results ◽  
Accuracy Test ◽  
Factors Influencing ◽  
Development Level ◽  
Mnl Model ◽  
Study Mode ◽  
Statistical Indicators

Comprehensive terminal integrates different modes of transport and sharing rates of different traffic modes influence its planning greatly. To determine the sharing rates, it’s necessary to study mode choice probability of passengers. Based on the theory of disaggregate choice, with the survey of mode choices of passengers arriving by rail in Nanjing south railway station, this paper establishes multinomial logit (MNL) model and nest logit (NL) model, considering three types of modes of transport including the subway, regular bus, and taxi. Models are calibrated with SPSS and validated through statistical indicators. Therefore, important factors influencing choice are obtained. The accuracy test results of two kinds of models show that NL model has higher prediction accuracy, and can overcome the shortcomings of traditional logit model’s independent and irrelevant alternatives (IIA). Finally, this paper develops the sensitivity analysis using the NL upper model as an example, and gives the sensitivity physical meaning, namely the development level of taxi.

scholarly journals A graphical heuristic for reduction and partitioning of large datasets for scalable supervised training

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Sumedh Yadav ◽  
Mathis Bode
Keyword(s):  
Prediction Accuracy ◽  
Clustering Algorithm ◽  
Nearest Neighbor ◽  
Large Datasets ◽  
Test Results ◽  
Accuracy Test ◽  
Reasonable Proportion ◽  
Speed Up ◽  
Run Time ◽  
Information Graph

Abstract A scalable graphical method is presented for selecting and partitioning datasets for the training phase of a classification task. For the heuristic, a clustering algorithm is required to get its computation cost in a reasonable proportion to the task itself. This step is succeeded by construction of an information graph of the underlying classification patterns using approximate nearest neighbor methods. The presented method consists of two approaches, one for reducing a given training set, and another for partitioning the selected/reduced set. The heuristic targets large datasets, since the primary goal is a significant reduction in training computation run-time without compromising prediction accuracy. Test results show that both approaches significantly speed-up the training task when compared against that of state-of-the-art shrinking heuristics available in LIBSVM. Furthermore, the approaches closely follow or even outperform in prediction accuracy. A network design is also presented for a partitioning based distributed training formulation. Added speed-up in training run-time is observed when compared to that of serial implementation of the approaches.

Factors Influencing Nut Factor Test Results

2017 ◽  
Author(s):  
Warren Brown ◽  
Stewart Long
Keyword(s):  
Test Results ◽  
Bolted Joint ◽  
Factors Influencing ◽  
Applied Torque ◽  
Bolt Diameter ◽  
Joint Assembly

Nut Factor is used to establish a bolt load for a given applied torque in bolted joint assembly. In previous papers the effects of different factors influencing Nut Factor results were examined, which included the type of anti-seize, bolt and nut material, bolt diameter and amount of anti-seize applied. This paper examines those factors further and then includes additional factors which have been shown to have significant effect on the measured Nut Factor. The knowledge of these factors has been used to adjust the proposed ASTM specification for determining Nut Factor. It is also relevant to application in the field and to ensure that any testing conducted in a laboratory will be applicable in the field.

Precise Ranging Technology Application Research Based on IEEE802.15.4a

2014 ◽  
Vol 631-632 ◽  
pp. 558-562
Author(s):  
Zi Hui Wei ◽  
Zheng He Feng ◽  
Zhi Feng Wang ◽  
Duan Bo Cai
Keyword(s):  
Spread Spectrum ◽  
Wide Band ◽  
Impulse Radio ◽  
Line Of Sight ◽  
Test Results ◽  
Application Research ◽  
Technology Application ◽  
Accuracy Test ◽  
Chirp Spread Spectrum ◽  
Received Signal Strength Indication

To solve the poor location accuracy of wireless sensor networks using Received Signal Strength Indication (RSSI) ranging. Time Of Flight (TOF) ranging is used to ensure the accuracy based on two optional physical layer of Impulse Radio-Ultra Wide-Band (IR-UWB) and Chirp Spread Spectrum (CSS) in IEEE802.15.4a. In this paper, we designed ranging module utilizing CSS and UWB. In the Line Of Sight (LOS) and None Line Of Sight (NLOS) environments ranging accuracy test is implemented, the test results show that the IR-UWB ranging technology can achieve higher ranging accuracy and better multipath resistance compared to CSS.

scholarly journals Determination of Nearest Emergency Service Office using Haversine Formula Based on Android Platform

2018 ◽  
Vol 5 (2) ◽  
pp. 270-278 ◽  
Author(s):  
M. Basyir ◽  
M. Nasir ◽  
Suryati Suryati ◽  
Widdha Mellyssa
Keyword(s):  
Emergency Service ◽  
Emergency Services ◽  
Message Delivery ◽  
Test Results ◽  
Average Delay ◽  
Accuracy Test ◽  
Calculation Results ◽  
Testing Accuracy ◽  
Selection Of

Emergency Reporting Application is an android-based application that serves to help the community in reporting the emergency condition. This application allows users to choose and contact the emergency services office, without the need to notice their position and phone number. Selection of emergency services office is also automatically selected by the system by taking into account the distance between the complainant and the emergency services office. The selected emergency services office is the nearest emergency service office from the complainant so that the delay in coming assistance can be minimized. Therefore, this proposed application requires a GPS feature to recording, reporting and SMS positioning for message delivery of reports. The distance between the position of the complainant and the position of the emergency service office, in the form of latitude and longitude data, is requested using the Haversine formula taking into account the degree of curvature of the earth. Emergency service offices include police and hospital offices spread over 25 different districts. Furthermore, the reporter's position calculation results were compared with all selected emergency service offices and obtained 1 nearest emergency service office. Calculating the accuracy and delay value of the system will do system testing. Accuracy test results using the method of 100% Haversine and the average delay of the system is 4.5 seconds.

Features of Educational Motivation and Professional Identity of Russian and Indian Students at the Stage of Admission to the Master's School

2021 ◽  
pp. 31-35
Author(s):  
O. Potapov ◽  
Ritu Ritu
Keyword(s):  
Comparative Analysis ◽  
Professional Identity ◽  
Questionnaire Survey ◽  
Learning Motivation ◽  
Test Results ◽  
Factors Influencing ◽  
Two Samples ◽  
Educational Motivation ◽  
Indian Students

The article is devoted to the study of the peculiarities of educational motivation and professional identity of Russian and Indian students studying in Russia and intending to continue their studies in the magistracy. The use of a comparative analysis based on the test results for two samples, a questionnaire survey, showed the predominance of internal learning motivation and a higher level of professional identity of Indian students compared to students from Russia. The factors influencing the results of measuring educational motivation are indicated. General recommendations on the formation of optimal educational motivation and professional identity of future masters are given.

Factors Influencing Public Transport Demand in Sicily During COVID-19 Era: A Study of Commuters’ Travel and Mode Choice Behaviors

2021 ◽  
pp. 339-353
Author(s):  
Socrates Basbas ◽  
Georgios Georgiadis ◽  
Tiziana Campisi ◽  
Giovanni Tesoriere
Keyword(s):  
Public Transport ◽  
Mode Choice ◽  
Factors Influencing

scholarly journals Impact resistance of external thermal insulation systems

2018 ◽  
Vol 163 ◽  
pp. 08004 ◽  
Author(s):  
Ewa Sudoł ◽  
Dawid Dębski ◽  
Renata Zamorowska ◽  
Barbara Francke
Keyword(s):  
Thermal Insulation ◽  
Impact Resistance ◽  
Experimental Program ◽  
Insulation Material ◽  
Test Results ◽  
Composite Systems ◽  
Factors Influencing ◽  
Insulation Systems ◽  
The Impact ◽  
Fibre Mesh

In the paper the results of an experimental program intended to determine factors influencing the impact resistance of the External Thermal Insulation Composite Systems (ETICS) were presented. For the research the systems based on polystyrene have been chosen. The insulation material was faced with a rendering consisting of base coat reinforced with standard or armored glass fibre mesh and silicone or silicone-silicate binders as finishing coats. The influence of various renderings components was evaluated with respect to resistance to hard body impact and resistance to hail. The test results were discussed in the context of the possible impact level on ETICS in use.

scholarly journals Identification of Prior Factors Influencing the Mode Choice of Short Distance Travel

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ming Li ◽  
Guohua Song ◽  
Ying Cheng ◽  
Lei Yu
Keyword(s):  
Traffic Congestion ◽  
Household Income ◽  
Short Distance ◽  
Structural Equation ◽  
Mode Choice ◽  
Equation Modeling ◽  
Residential Areas ◽  
Factors Influencing ◽  
Willingness To Change ◽  
Distance Travel

Short distance trips are defined as any trips shorter than or equal to 5 kilometers, which have been found to be a big contributor to the traffic congestion problem. This paper is intended to analyze factors that influence the mode choice of short distance travels in order to help reduce short distance trips by cars. A survey is conducted at two typical kinds of residential areas, one with a high proportion of short distance car trips and another one with a low proportion. Then, by applying the structural equation modeling, it is found that the age, the household income, and the vehicle ownerships have a significant effect on the mode choice of short distance travels. Besides, among residents of the same type (same age, household income, and vehicle ownerships) in surveyed areas, those in the area with a better green-mode travel environment account for a higher proportion choosing the green mode than those in other areas. Based on this result, it is concluded that a better green-mode travel environment leads to a higher proportion of green-mode travels. In the end, the paper shows residents’ stated willingness to change travel modes from cars to the green mode.

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