scholarly journals Characteristics Analysis of Freight Mode Choice Model According to the Introduction of a New Freight Transport System

2019 ◽  
Vol 11 (4) ◽  
pp. 1209 ◽  
Author(s):  
Seungjin Shin ◽  
Hong-Seung Roh ◽  
Sung Hur
Keyword(s):  
Travel Time ◽  
Transport System ◽  
Choice Model ◽  
Stated Preference ◽  
Statistical Significance ◽  
Explanatory Power ◽  
Service Level ◽  
Freight Transport ◽  
Transport Cost ◽  
Transport Mode

The purpose of this study is to identify the characteristics of freight mode choices made by shippers and carriers with the introduction of a new freight transport system. We set an area in which actual freight transport takes place as the analysis scope and performed a survey of the shippers and carriers that transport containers to identify their stated preference (SP) regarding the new freight mode. The SP survey was carried out through an experimental design and this study considered the three factors of transport time, transport cost, and service level. This study compared and analyzed the models by distance using an individual behavior model. The results of estimating the model showed that the explanatory power of the model classified by distance and the individual parameters have statistical significance. The hit ratio was also high, which confirms that the model was estimated properly. In addition, the range of elasticity and the value of travel time analyzed using the model were evaluated to be appropriate compared to previous studies. The findings of the elasticity analysis show that strategies for reducing the transport cost are effective to increase the demand for the new transport mode. The value of travel time of freight transport was found to be higher than the current value generally applied in Korea. Considering that the value of travel time currently used is based on road freight transport, further research is required to apply a new value of travel time that reflects the characteristics of the new transport mode in the future.

Analysis of Travel Time Saving Benefit by Understanding Individual Needs and Value of Activity Time: Case Study of Tokyo and Jakarta

2003 ◽  
Vol 1854 (1) ◽  
pp. 12-21 ◽  
Author(s):  
Irwan Prasetyo ◽  
Daisuke Fukuda ◽  
Hirosato Yoshino ◽  
Tetsuo Yai
Keyword(s):  
Travel Time ◽  
Time Allocation ◽  
Choice Model ◽  
Stated Preference ◽  
Revealed Preference ◽  
Psychological Needs ◽  
Activity Time ◽  
Time Saving ◽  
Allocation Model ◽  
Preference Data

Quantification of the value of time (VOT) is important for measurement of the benefit of transportation projects in terms of travel time savings. In Japan, VOT is considered higher on weekends than on weekdays because on the weekend people have limited time to allocate to discretionary activities that are not normally done on weekdays, such as family care-related activities. In Indonesia, a culturally diverse country, providers and users seem to have different perceptions of VOT. A method of analyzing the value of activity time is presented. It argues that the benefit of travel time saving should be evaluated in more detail on weekends by considering the value of discretionary activities to explain these phenomena theoretically. Activity diary surveys were conducted in Tokyo, Japan, and Jakarta, Indonesia, to verify the influence of psychological needs on people's holiday activities. Finally, a time allocation model that uses the revealed preference data and a marginal activity choice model that uses stated preference data are proposed to calculate the value of activity time. The theories underpinning these models are Maslow's psychological needs, consumer theory in economics, and a discrete choice model. The empirical results show that an individual's priority of needs influences time allocation. In particular, the results show that in Tokyo, spending time with family on weekends is more valuable than other types of activities, while in Indonesia the value of spending time with family exceeds that of work time even on weekdays.

scholarly journals Exploring Multiple‐discreteness in Freight Transport. A Multiple Discrete Extreme Value Model Application for Grain Consolidators in Argentina

2021 ◽  
Author(s):  
Rodrigo J. Tapia ◽  
Gerard de Jong ◽  
Ana M. Larranaga ◽  
Helena B. Bettella Cybis
Keyword(s):  
Utility Function ◽  
Stated Preference ◽  
Freight Transport ◽  
Extreme Value ◽  
Random Coefficients ◽  
Transport Cost ◽  
Data Set ◽  
Extreme Value Model ◽  
Value Model ◽  
Multiple Discreteness

AbstractThere are some examples where freight choices may be of a multiple discrete nature, especially the ones at more tactical levels of planning. Nevertheless, this has not been investigated in the literature, although several discrete-continuous models for mode/vehicle type and shipment size choice have been developed in freight transport. In this work, we propose that the decision of port and mode of the grain consolidators in Argentina is of a discrete-continuous nature, where they can choose more than one alternative and how much of their production to send by each mode. The Multiple Discrete Extreme Value Model (MDCEV) framework was applied to a stated preference data set with a response variable that allowed this multiple-discreteness. To our knowledge, this is the only application of the MDCEV in regional freight context. Free alongside ship price, freight transport cost, lead-time and travel time were included in the utility function and observed and random heterogeneity was captured by the interaction with the consolidator’s characteristics and random coefficients. In addition, different discrete choice models were used to compare the forecasting performance, willingness to pay measures and structure of the utility function against.

scholarly journals The Sensitifity and Elastisity Model Approch to The Probality of Wooden Boat Route Selection in Archipelago Area

2021 ◽  
Vol 328 ◽  
pp. 10004
Author(s):  
Bustamin S Marsaoly ◽  
Nurmaiyasa Marsaoly ◽  
Abdul Gaus
Keyword(s):  
Time Delay ◽  
Travel Time ◽  
Delay Time ◽  
Stated Preference ◽  
Linear Regression Analysis ◽  
Service Level ◽  
Route Selection ◽  
Travel Costs ◽  
The Cross ◽  
Selection Of

This study aims to analyze the effect of travel costs Wooden Boat, travel time, delay time and service frequency on the selection of wooden ship routes using the stated preference method. Two variables, dependent and independent variables were analyzed using linear regression analysis, correlation and sensitivity model. From the results of the sensitivity analysis, the travel cost of attribute variable is the most sensitive to the probability of route selection is travel time. The changes of travel time will changes the probability of choosing a route which relatively largerer than changes the other attributes. For the elasticity analysis of the model for each attribute resulted the probability of choosing route 2 is more sensitive than route 1. This is indicated by the cross elasticity value which is greater than the direct elasticity value. The direct elasticity values for the attributes of cost, travel time, delay time, and service level are -0.5248, - 0.1667, -0.0845, and 0.1182 respectively. Meanwhile, the cross-elasticity values for the attributes of cost, travel time, delay time, and service level are -0.6477, -0.3979, -0.2016, and 0.2821

scholarly journals Modeling the Modal Shift towards a More Sustainable Transport by Stated Preference in Riyadh, Saudi Arabia

2021 ◽  
Vol 13 (1) ◽  
pp. 337
Author(s):  
Zaher Youssef ◽  
Habib Alshuwaikhat ◽  
Imran Reza
Keyword(s):  
Saudi Arabia ◽  
Travel Time ◽  
Choice Model ◽  
Stated Preference ◽  
Marginal Effect ◽  
Structured Interviews ◽  
Modal Shift ◽  
Fuel Price ◽  
The Government ◽  
Walking Time

The need to gain a comprehensive understanding of road travelers’ choice of mode and their perceptions of using sustainable urban mobility modes have evolved to shape the form of future transport planning and policymaking. To combat the concern of growing traffic congestion in Riyadh City, the government of Saudi Arabia designed and introduced a sustainable public transport project named “Riyadh Metro”. This study explores the potential commuters’ perception towards the Metro services and the factors that limit their propensity to use Metro and understand the tradeoffs that the individuals make when they are faced with a combination of mode characteristics (e.g., travel time, price, walking time). The stated preferences experiment was conducted on a sample from the Riyadh neighborhood by structured interviews. A discrete choice model based on binary logistic regression has been developed. The coefficient of travel attribute: travel time, fuel cost, Metro fare, and walking time was found to be statistically significant with a different effect on mode choice. The elasticity of the coefficient showed that an increase in the fuel price by 10% would increase the metro ridership by 5.3% and reduce car dependency. Decreasing the walking time by 5 min to the metro station will increase the metro ridership by 22%. Furthermore, the study revealed that implementing a 1 SAR/hour parking charge will decrease car dependency by 14%. Increase Metro fare by 10% will decrease Metro ridership by 6.9%. The socioeconomic factors coefficient shows a marginal effect on the choice decision of passengers.

scholarly journals Likelihood of Motorcyclists Transferring to Safer Mode of Transport in Cairo, Egypt

2019 ◽  
Vol 8 (6) ◽  
pp. 2411-2416
Keyword(s):  
Travel Time ◽  
Road Traffic ◽  
Choice Model ◽  
Stated Preference ◽  
Urban Transportation ◽  
Research Work ◽  
Revealed Preference ◽  
Travel Cost ◽  
Mode Decision ◽  
Road Traffic Crashes

Road traffic injuries and mortality are mainly caused by motorcycle crashes. Practically, 50% of people who meet their death in road traffic accidents (RTAs) are motorcyclists. The issue is increasingly articulated in progressing nations where the use of motorcycles has gained popularity in the past decades. Moreover, death and fatalities caused by accidents involving motorcyclists are also in the rise due to the increasing trend. Hence, motorcyclists are encouraged to use alternative modes of transportation that are safer in the attempt to minimise losses. As a result, a policy ought to be created to enhance urban transportation service and control motorcycle proprietorship. The current research that lays the groundwork aims to contribute a more elaborated analysis on motorcycle user mode decision conduct as well as an excellent comprehension of the conceivable efforts that can be taken to support motorcyclists to shift to a safer mode of transportation, particularly bus. In the current research work, the binary logit mode choice model was created for two elective modes in order to distinguish the separate practices of motorcyclists and bus users and assess their reactions to a situation that can minimize both time and expenses involved in bus travel. In addition, it should be noted that this paper surveyed a total of 327 travellers from Greater Cairo Region (GCR) in Egypt, the bus users were identified through revealed preference, while the motorcyclists were identified through revealed and stated preference surveys. In this case, travel time, travel cost, age, sexual orientation, income level, trip purpose, education level, and privacy significantly influence motorcycle user mode decision conduct. The likelihood of motorcyclists to utilize the use of buses was additionally analyzed dependent on a situation of minimized bus travel time and travel cost. These elements are very important in a program that attempts to draw in motorcyclists to utilize public transport, particularly bus. The outcomes can help the process of decision making on all levels in assigning the necessary assets prudently for the advancement of urban transportation services, reduced number of road traffic crashes, and increased road safety. This examination, which is the first of its sort in Egypt, assesses the model choice behaviour for motorcyclists

Value of Time in Freight Transport in Finland

2000 ◽  
Vol 1725 (1) ◽  
pp. 26-30 ◽  
Author(s):  
Jari Kurri ◽  
Ari Sirkiä ◽  
Juha Mikola
Keyword(s):  
Stated Preference ◽  
Road Transport ◽  
Freight Transport ◽  
Rail Transport ◽  
Transport Cost ◽  
Value Of Time ◽  
Manufacturing Companies ◽  
Transport Time ◽  
Average Delay ◽  
Average Value

In the socioeconomic evaluation of transportation investments affecting freight transport in Finland, no value of time is currently attributable to the freight itself. In order to estimate freight-specific values of time for road and rail transport, two separate studies using the same methodology were carried out. Stated preference technique—in which hypothetical choice situations between two road or rail transport alternatives were presented to transport managers in manufacturing companies in Finland—was used. Values of the attributes presented were based on the present transport in question. Level of service was characterized by three variables: transport time, transport cost, and reliability of the service (frequency and duration of unexpected delays). Personal interviews were carried out using a portable computer. The relative importance of the factors (i.e., values of transport time and delays) was derived from logit models. According to the survey, the average value of time for road transport for the selected commodity groups is about $1.5 per metric ton per hour, and the value of average delay is about $47 per metric ton per hour. For rail transport and different commodity groups, the average value of transport time is about $0.10, and the value of average delay is about $0.5 per metric ton per hour. These results stress the importance of the reliability of transport time. The values of transport time were considerably higher than those in the corresponding Swedish studies but lower than the values in several other studies.

scholarly journals Airline choice model for an international round-trip flight considering outbound and return flight schedules

2020 ◽  
Vol 54 (2) ◽  
pp. 75-93 ◽  
Author(s):  
Claudia Munoz ◽  
Henry Laniado ◽  
Jorge Córdoba
Keyword(s):  
Travel Time ◽  
Choice Model ◽  
Stated Preference ◽  
Mixed Logit ◽  
Choice Data ◽  
Round Trip ◽  
Flight Schedules ◽  
Trade Offs ◽  
International Round ◽  
The Impact

This paper quantified the impact of outbound and return flight schedule preferences on airline choice for international trips. Several studies have used airline choice data to identify preferences and trade-offs of different air carrier service attributes, such as travel time, fare and flight schedule. However, estimation of the effect return flight schedules have on airline choice for an international round-trip flight has not yet been studied in detail. Therefore, this study introduces attributes related to return flight characteristics and round-trip flight schedule interaction into the airline choice models, which have not previously been reported in the literature. We developed a stated preference survey that includes round-trip fares based on flight schedule combinations and the number of days prior to departure fares was purchased. We applied modelling techniques using a set of stated preference data. A mixed logit model was tested for the presence of heterogeneity in passengers' preferences. Our results indicated that models with attributes related to return flight and its interaction with outbound flight attributes have a superior fit compared with models only based on attributes reported in the literature review. The model found shows that airfare, travel time, arrival preference schedule in the outward journey, departure preference in the return journey and the schedule combination of round-trip flight are significantly affecting passenger choice behaviour in international round-trip flights. Sensitivity analysis of airline service characteristics and their marketing implications are conducted. The analysis reports seven policies with the greatest impact on each airline choice probabilities. It shows that by reducing travel time and airfare and by adopting an afternoon and night schedule preference for outbound and return flight, respectively, the highest probability on airline choice would be reached. This research contributes to the current literature by enhancing the understanding of how passengers choose airlines, considering both outbound and inbound journey characteristics. Thus, this study provides an analytical tool designed to provide a better understanding of international round-trip flight demand determinants and support carrier decisions.

scholarly journals Identification of cumulative prospect theory parameters for mode choice model

2019 ◽  
Vol 270 ◽  
pp. 03012
Author(s):  
Sylvia Indriany ◽  
Ade Sjafruddin ◽  
Aine Kusumawati ◽  
Widyarini Weningtyas
Keyword(s):  
Prospect Theory ◽  
Travel Time ◽  
Public Transportation ◽  
Reference Point ◽  
Choice Model ◽  
Stated Preference ◽  
Mode Choice ◽  
Cumulative Prospect Theory ◽  
Transportation Risk ◽  
Mode Choice Model

The use of Cumulative Prospect Theory (CPT) in decision making related to transportation risk is still much debated. Mainly because of the travel and socio-economic characteristics of the traveller it possible for different responses to the specified Reference Point (RP) as well as the loss aversion. This difference can be seen from the value of Cumulative Prospect Theory parameters. Therefore, this paper will discuss about the determination of parameters CPT which affect public transportation mode choice model in the course of work trip activity. The reference point as an essential part of this study is determined based on the average travel time of commuter worker from South Tangerang City to Jakarta. Data obtained from stated preference survey, Feeder Busway/Busway and Commuter Line Jabodetabek as mode alternative and travel time attribute as a risk factor. The Binomial Logit model which has transformed utility distribution and probability with CPT and the Least Square Method to be obtained the parameters. Finally, some conclusions can be drawn that the CPT parameters produced by this study, have closed the range of value requirements in the CPT theory. So that the parameter value can be used to model the probability of mode choice with the risk of travel time in the study area.

scholarly journals Study of Public Transport Development in South Bali Districts: Potential Public Transport Mode

2021 ◽  
Vol 4 (1) ◽  
pp. 9-21
Author(s):  
Adni Bidari Putri ◽  
◽  
Muhammad Farda ◽  
Sigit Puji Santosa ◽  
Puspita Dirgahayani ◽  
...  
Keyword(s):  
Transport System ◽  
Public Transport ◽  
Travel Demand ◽  
Stated Preference ◽  
Transport Infrastructure ◽  
Infrastructure Development ◽  
Current Transport ◽  
Tourist Attractions ◽  
Transport Mode ◽  
Public Transport System

Bali Province in Indonesia is one of the most attractive tourist destinations in the world. The number of tourists visiting this province keeps increasing year by year parallel with the increase of the population of local citizens. Such a phenomenon will certainly increase travel demand and put pressure on the current transport infrastructure. Hence, transport infrastructure development is essential to support the travel demand. This study explores the possibility of implementing a new public transport system in the South Bali District, a district with numerous tourist attractions and activity centres. Data collection on the current transport system and land use in the district were carried out to understand potential corridors for public transport. A stated preference survey was also conducted to discover the public transport mode preferred by the respondents, encompassing tourists and local citizens. This study then recommends the type of public transport mode to be implemented in the district based on i) space availability, ii) respondent preference, and iii) ability to accommodate demand based on calculation. The study concludes that Automated Rapid Transit (ART) is a mode that has the highest potential to be implemented in South Bali Districts.

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