Rolling stock purchase cost for rail and road public transportation: random-parameter modelling and marginal effect analysis

2016 ◽  
Vol 12 (5) ◽  
pp. 436-457 ◽  
Author(s):  
Jackeline Murillo-Hoyos ◽  
Matthew Volovski ◽  
Samuel Labi
Keyword(s):  
Public Transportation ◽  
Random Parameter ◽  
Rolling Stock ◽  
Marginal Effect ◽  
Effect Analysis ◽  
Purchase Cost

scholarly journals Factors Influencing Intention to Use Mobility as a Service: Case Study of Gyeonggi Province, Korea

2021 ◽  
Vol 14 (1) ◽  
pp. 218
Author(s):  
Eunjeong Ko ◽  
Yeongmin Kwon ◽  
Woongbee Son ◽  
Junghwa Kim ◽  
Hyungjoo Kim
Keyword(s):  
Public Transportation ◽  
Probit Model ◽  
Service Planning ◽  
Marginal Effect ◽  
Intention To Use ◽  
Effect Analysis ◽  
Demographic Groups ◽  
Factors Influencing ◽  
Transportation Service ◽  
Primary Means

Mobility as a service (MaaS) integrates various transportation modalities and connects these modalities to enable users to travel from departure points to destination points. The objectives of this study were to analyze the factors influencing the intention to use MaaS and determine a direction for the implementation of this service. Hence, this study utilized an ordered probit model and marginal effect analysis. Specifically, a survey was conducted based on citizens living in Gyeonggi-do, South Korea, to prepare logical MaaS operation measures customized in this province. Subsequently, variables related to MaaS were classified, and statistical analysis was performed based on these variables. The need for integrated transportation service, intention to use shared mobility, gender, household income, and region are found to have significant effects. Moreover, demographic groups with high levels of intention to use MaaS were identified. Finally, the intention to use MaaS was found to be mainly affected by whether public transportation was the primary means of transportation or whether the subjects spent a comparatively long time commuting. It is expected that these findings will serve as the basis for MaaS implementation in the future and will also be used as fundamental data for transportation service planning.

A TWO-PHASED FUZZY MULTICRITERIA SELECTION AMONG PUBLIC TRANSPORTATION INVESTMENTS FOR POLICY-MAKING AND RISK GOVERNANCE

2012 ◽  
Vol 20 (supp01) ◽  
pp. 31-48 ◽  
Author(s):  
İHSAN KAYA ◽  
BAŞAR ÖZTAYŞI ◽  
CENGIZ KAHRAMAN
Keyword(s):  
Public Transportation ◽  
Capital Investment ◽  
Transportation Policy ◽  
Rolling Stock ◽  
Risk Governance ◽  
Second Phase ◽  
Transportation Modes ◽  
The Social ◽  
Transportation Type

Public transportation can be viewed as a key determinant and consequence of the social and spatial formation and development of contemporary cities and regions. Transportation policy generally combines four categories of instruments, i.e., investment, pricing, regulation and subsidy, to generate viable alternatives. Capital investment in public transportation supports the purchase of equipment and facilities including rolling stock, tracks, control equipment, and the construction of terminals, stations, parking lots, maintenance facilities and power generating facilities. Risk governance for public transportation investments looks at how risk-related decision-making unfolds when a range of actors is involved, requiring co-ordination and possibly reconciliation between a profusion of roles, perspectives, goals and activities. In this paper, a two-phased multicriteria methodology is proposed to select the best investment alternative for public transportation with respect to the predetermined criteria. In the first phase, a selection among transportation types is made, and in the second phase, a selection among transportation modes of the selected transportation type is made. A case study for Istanbul is given in the application section.

scholarly journals Random Parameter Negative Binomial Model of Signalized Intersections

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Minho Park ◽  
Dongmin Lee ◽  
Jinwoo Jeon
Keyword(s):  
Negative Binomial ◽  
Random Parameter ◽  
Signalized Intersections ◽  
Negative Binomial Model ◽  
Marginal Effect ◽  
Binomial Model ◽  
Random Parameters ◽  
Factors Affecting ◽  
Independent Variables ◽  
Insight Into

Factors affecting accident frequencies at 72 signalized intersections in the Gyeonggi-Do (province) over a four-year period (2007~2010) were explored using the random parameters negative binomial model. The empirical results from the comparison with fixed parameters binomial model show that the random parameters model outperforms its fixed parameters counterpart and provides a fuller understanding of the factors which determine accident frequencies at signalized intersections. In addition, elasticity and marginal effect were estimated to gain more insight into the effects of one-percent and one-unit changes in the dependent variable from changes in the independent variables.

Mid-Life Refurbishment Maintenance Strategy to Sustain Performance and Reliability of Train System

2020 ◽  
Vol 899 ◽  
pp. 238-252
Author(s):  
Mohd Firdaus Mohamad Idris ◽  
Nor Hayati Saad
Keyword(s):  
Life Span ◽  
Automotive Industry ◽  
System Reliability ◽  
Current Practice ◽  
Evaluation Criteria ◽  
Rolling Stock ◽  
Risk Priority Number ◽  
Effect Analysis ◽  
Train System

Mid-Life Refurbishment (MLR) is a process conducted in many industries to improve or extend the life span of assets such as machines, infrastructures and systems. The objective of MLR works execution is to extend the life span, sustain the train performance and achieve system reliability. Typically, the refurbishment scope consists of overhaul, upgrading and rectification works. The biggest challenge is to determine) the scope of refurbishment works and to create equilibrium between the feasibility and viability of the project. Therefore, the main objective of this paper is to discuss the current practice of performing MLR maintenance through the utilization of Failure Mode and Effect Analysis (FMEA) and to transform the existing FMEA used by the automotive industry to fulfil the needs of Rolling Stock. The use of FMEA is critical in determining) the scope of train refurbishment work. It was carried out at the initial stages of the process in order to determine Risk Priority Number (RPN) to prioritize the type of refurbishment plans and scope. The design of the FMEA Worksheets, De-sign of FMEA severity Evaluation Criteria, Design of Occurrence Evaluation Criteria and Design of FMEA Prevention/Detection Criteria were adopted and adapted from the generic format so that it is coherent with Railway Industries. The results based on the transformation framework, the plan and scope of overhaul, upgrading and rectification were defined using the FMEA. Out of the 80 elements of MLR works that were analyzed using the FMEA approach, it was found that 46 elements needed overhaul, 23 elements needed upgrading and 11 elements needed rectification works. Finally, the application of the FMEA helped determine the MLR scope of work from 13 systems. The case study was taken from the Malaysia LRT Project, and currently the fleet has been in operation for more than 20 years (operated since year 1998).

scholarly journals Determinants of Small-Scale Mechanization for Potato Farming: A Case from Bangladesh

2021 ◽  
Vol 7 ◽  
pp. 75-82
Author(s):  
Moniruzzaman ◽  
Md. Sadique Rahman ◽  
Md. Hayder Khan Sujan
Keyword(s):  
Probit Model ◽  
Policy Implications ◽  
Farm Size ◽  
Small Scale ◽  
Marginal Effect ◽  
Public Agencies ◽  
Effect Analysis ◽  
Farm Mechanization ◽  
And Training ◽  
Potato Farm

Identifying the determinants of farm mechanization can play a crucial role in the agriculture sector’s development. The present study identifies the determinants of potato farm mechanization employing the ordered probit model. A total of 150 potato farmers were interviewed to achieve the objectives. The findings indicate that only around 13% of the respondents were high adopters. The adoption of potato farm mechanization was influenced by education, spouse education, farm size, and training. Marginal effect analysis suggested that farm size and training decrease the likelihood of being in the low adopter’s category, respectively, by 13.2% and 10%, while increases the likelihood of being in the high adopter’s category by 7.5% and 5.7%. Policy implications included more investment in extension facilities such as training from public agencies to sustain and increase adoption. Modifying the existing extension strategy by targeting not only primary farmers but also members of their families would help with the widespread adoption of farm mechanization.

scholarly journals Design for Sustainable Public Transportation: LCA-Based Tooling for Guiding Early Design Priorities

2020 ◽  
Vol 12 (23) ◽  
pp. 9811
Author(s):  
Willem Haanstra ◽  
Willem-Jan Rensink ◽  
Alberto Martinetti ◽  
Jan Braaksma ◽  
Leo van Dongen
Keyword(s):  
Life Cycle ◽  
Environmental Impact ◽  
Public Transportation ◽  
Environmental Sustainability ◽  
Design Science ◽  
Science Research ◽  
Rolling Stock ◽  
Research Approach ◽  
Early Design ◽  
Access To Data

Environmental sustainability is an increasingly important subject for public transportation organizations. For passenger train operators, modernization projects provide key opportunities to improve the environmental impact of their rolling stock by making informed design decisions at the midpoint of the life cycle of their trains. Life Cycle Assessment (LCA) is widely adopted as the main instrument for evaluating environmental impact. However, in the past LCA was rarely used in the earlier design stages, where it is most effective, due to constrained access to data, information, and LCA-specific expertise. To this end, a purpose-built streamlined LCA tool for train modernization is developed and demonstrated, following a Design Science Research approach. The developed tool simplifies the application of LCA employing four main design principles: (1) sacrificing the declarative function of LCA, (2) the use of Input–Output-based Life Cycle Inventory, (3) the inclusion of ‘shadow costs’, (4) the limitation of the included environmental impact categories. By streamlining the application of LCA in this way, it becomes possible to introduce LCA-based principles and ways of thinking into a process that would otherwise be inaccessible to performing LCA in: the early design stages of modernization projects.

scholarly journals Social Stratification and Tooth Loss Among Migrant and Non-Migrant Middle-Aged and Older Adults in China

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 833-833
Author(s):  
Xiaomin Qu ◽  
Bei Wu ◽  
Jiaojiao Yu ◽  
Haidong Zhang
Keyword(s):  
Older Adults ◽  
Social Stratification ◽  
Tooth Loss ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Marginal Effect ◽  
Middle Aged ◽  
Effect Analysis ◽  
Migrant Populations ◽  
Education Levels

Abstract This study investigated the association between socioeconomic status (SES) and tooth loss in middle-aged and older adults by migrant status. The sample included 2,390 participants aged 45-65 from the 2017 Urbanization and New Migrant Survey conducted from 10 cities in China. Results from the negative binomial regression and the marginal effect analysis showed that education, income, and residence in a developed city were negatively associated with tooth loss for non-migrants and migrants with high levels of education. These associations were not found to be significant for migrants with low education levels. The findings suggest that SES plays a more significant role in tooth retention for migrants with higher education levels compared to those with lower education levels. These results may largely be due to different levels of health literacy and unequal access to dental care services. Tailored intervention needs to be target migrant populations with low SES.

scholarly journals Risk Prioritization for Failure Modes in Mining Railcars

2021 ◽  
Vol 13 (11) ◽  
pp. 6195
Author(s):  
Mohammad Javad Rahimdel ◽  
Behzad Ghodrati
Keyword(s):  
Large Scale ◽  
Failure Modes ◽  
Transportation Systems ◽  
Control Measures ◽  
Rolling Stock ◽  
Railway Transportation ◽  
Effect Analysis ◽  
Risk Prioritization ◽  
Fuzzy Environment ◽  
Hierarchy Process

Railway transportation systems are generally used to transport minerals from large-scale mines. Any failure in the railcar components may cause delays or even catastrophic derailment accidents. Failure mode and effect analysis (FMEA) is an effective tool for the risk assessment of mechanical systems. This method is an appropriate approach to identify the critical failure modes and provide proper control measures to reduce the level of risk. This research aims to propose an approach to identify and prioritize the failure modes based on their importance degree. To achieve this, the analytical hierarchy process (AHP) is used along with the FMEA. To compensate for the scarcities of the conventional FMEA in using the linguistic variables, the proposed approach is developed under the fuzzy environment. The proposed approach was applied in a case study, a rolling stock operated in an iron ore mine located in Sweden. The results of this study are helpful to identify not only the most important failure modes but also the most serious and critical ones.

APPLICATION OF NEW DECISION MAKING MODEL BASED ON MODIFIED COST-BENEFIT ANALYSIS — A CASE STUDY: BELGRADE TRAMWAY TRANSIT

2012 ◽  
Vol 29 (06) ◽  
pp. 1250034 ◽  
Author(s):  
VLADIMIR M. POPOVIC ◽  
BRANKO M. VASIC ◽  
TATJANA M. LAZOVIC ◽  
ALEKSANDAR M. GRBOVIC
Keyword(s):  
Decision Making ◽  
Public Transportation ◽  
Life Cycle Cost ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Rolling Stock ◽  
Important Place ◽  
The Public ◽  
Decision Making Model

Tramway transit has an important place within the public transportation system of Belgrade. However, due to the very unfavorable age structure, the bad condition of tramway tracks and infrastructure, as well as the maintenance system that require significant advancement, Belgrade tramways are in very bad repair, so the transport requirements are not properly met. The principal task of the analysis presented in this paper is to recognize and estimate the justifiability of investment into various solutions for revitalization of Belgrade tramway rolling stock. We have chosen a somewhat different from usual approach to decision making, that is, applied a combination of cost-benefit, life-cycle cost and multi-criteria analysis.

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