Browsing by Author "Hsu, CI"

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A model for market share distribution between high-speed and conventional rail services in a transportation corridor
(1997-06-01)
Hsu, CI
;
Chung, WM
;
交大名義發表
;
運輸與物流管理系註：原交通所+運管所
;
National Chiao Tung University
High-speed rail (HSR) lines are usually planned to serve corridors with existing conventional rail (CR) lines, since these corridors typically have large markets concentrated around major cities. This paper formulates a new analytical model to estimate market shares of HSP, and CR in a fundamental way, and from an individual behavior point of view. Passengers are divided into those who can take an HSR train directly to their destination stations and those who cannot. Optimal route choices are assumed by minimizing the ''generalized total travel time''. The relationship among demand-supply attributes such as value of time, train departure time, speed, trip length and fares is explored to identify market boundaries by comparing different routing strategies for each type of passenger. Individual route choices are aggregated by accumulating a transformation probability density function of value of time to estimate the spatial distribution of markets for two types of rail lines. The result estimates detail market distributions for passengers alighting at stations along the corridor. HSRs are shown to best serve medium- to long-trip markets, while CRs are shown to serve best for commuter travel and as feeders for the HSRs.
Airline flight frequency determination in response to competitive interactions using fuzzy logic
(2005-12-01)
Hsu, CI
;
Wen, YH
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
This study determines the flight frequencies on an airline network in response to anticipated airline competitive interactions using fuzzy logic. It is expressed as an optimization problem to be solved in the medium-term airline network-planning phase, and it deals with tactical decisions made one season or one year in advance. The proposed model includes three submodels-an airline market share model, a flight-frequency programming model, and a fuzzy-logic-based competitive interaction model. Flight frequencies on an airline network with competitive interactions are analyzed by combining these three submodels. A case study, demonstrating the feasibility of applying the proposed model, confirms that the competitive interactions will converge. The results of this study confirm the accuracy of the proposed model and their flexibility of the decision-making involved in determining flight frequencies on an airline network in competitive and uncertain environments. (c) 2005 Elsevier Ltd. All rights reserved.
Application of Grey theory and multiobjective programming towards airline network design
(2000-11-16)
Hsu, CI
;
Wen, YH
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
Airline network design encompasses decisions on an airline network shape and route flight frequencies. Related investigations handle the trade-off between enhancing passengers' service levels and lowering the airline's operating costs by applying deterministic optimization methods. In contrast with other conventional methods, Grey theory is a feasible mathematical device capable of forecasting airline traffic with minimum data and resolving problems containing uncertainty and indetermination. In the light of these developments, this study develops a series of models capable of forecasting airline city-pair passenger traffic, designing a network of airline routes and determining Eight frequencies on individual routes by applying Grey theory and multiobjective programming. A case study demonstrates the feasibility of applying the proposed models. Results in this study not only confirm the practical nature of the preposed models, but also their ability to provide high flexibility in decision making for airlines. (C) 2000 Elsevier Science B.V. All rights reserved.
Demand distribution and operating strategies of airport remote and terminal parking facilities
(1997)
Hsu, CI
;
Lin, FS
;
交大名義發表
;
運輸與物流管理系註：原交通所+運管所
;
National Chiao Tung University
Analytical approaches are used to explore factors affecting how travelers choose between remote and terminal parking facilities, to analyze the cost components of the parking process, and to formulate models for estimating the demand levels for remote and terminal parking. The demand distribution model is formulated by assuming that travelers choose the parking facility with the minimum total parking cost with respect to their parking duration and other characteristics. On the basis of this model, a parking duration control model is then formulated to maximize the operator's revenue while maintaining the levels of services and balancing the utilization of parking facilities. The model shows that parking revenues will be reduced if the operator imposes parking duration control to maintain the level of terminal parking service and increase utilization of remote parking.
Determining flight frequencies on an airline network with demand-supply interactions
(2003-11-01)
Hsu, CI
;
Wen, YH
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
This paper determines flight frequencies on an airline network with demand-supply interactions between passenger demand and flight frequencies. The model consists of two submodels, a passenger airline flight choice model and an airline flight frequency programming model. The demand-supply interactions relevant to determining flight frequency on an airline's network are analyzed by integrating these two submodels. The necessary condition for the convergence of the demand-supply interaction is discussed. An example demonstrates the feasibility of applying the proposed models. The results are more accurate than those obtained without considering demand-supply interactions, and the models provide ways to consider demand-supply interactions well in advance to determine flight frequencies on an airline network. (C) 2003 Elsevier Ltd. All rights reserved.
Externality reductions in residential areas due to rail transit networks
(2005-09-01)
Hsu, CI
;
Guo, SP
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
This work adopts a continuum approximation method based on long-term planning to describe the continuous characteristics of air pollution dispersion, street and rail transit network flow as well as household distribution. The model of air pollution distribution in a metropolitan area with surface streets and rail transit networks is constructed by applying dispersion equations of air pollutants in the field of Physics. Variations in air pollution due to decreased car flows, which result from commuters' shifting to the newly completed rail transit system, are also analyzed. Benefits from the reduction of air pollution are estimated by accumulating all of the exposed households at each residential site. Finally, a case study demonstrates the model application and estimates the improvement of residential environment in the Taipei metropolitan area due to the rail transit system.
Forecasting Trans-Pacific air traffic by grey model
(1999)
Hsu, CI
;
Wen, YH
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
The rapid economic growth of Asia-Pacific countries continues to result in faster travel growth in the Trans-Pacific air passenger market. Grey theory is used to develop time series GM(1,1) models for forecasting: total passenger and 10 country-pair passenger traffic flows. The GM(1,1) models are shown to yield better accurate prediction results than ARIMA and multiple regression models. The results indicate that the total number of air passengers for Trans-Pacific market will increase at an average annual growth rate of approximately 11% up to year 2000.
Household-mode choice and residential-rent distribution in a metropolitan area with surface road and rail transit networks
(2001-09-01)
Hsu, CI
;
Guo, SP
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
The authors formulate a model integrating households' residential-mode choice and residential distribution in a metropolitan area with surface streets and rail transit networks. The model was constructed to describe transportation-residential land-use interaction by means of continuous analytical approaches and mathematical programming methods. Heterogeneity among residential sites and households is also considered, to alleviate aggregation bias. The model is formulated to minimize the sum of households' generalized travel costs and Tent costs under user equilibrium by incorporating flow-congestion effects and the bid-rent effects of different income households. Decision variables include the number of households and flow intensity at each residential site, and the number of transferring passengers at each rail transit station. In addition, the generalized travel cost, households' residential distribution, and rent-cost distribution in a metropolitan area are analyzed to explore the benefits of rail transit lines. The results reveal that, upon completion of rail transit networks, savings in travel time from each residential site to the central business district are more marked for longer commuting distances. Moreover, rent costs are, as expected, higher in areas along rail-transit lines.
Improved grey prediction models for the trans-Pacific air passenger market
(1998-01-01)
Hsu, CI
;
Wen, YH
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
The rapid economic growth of Asia-Pacific countries continues to result in faster travel growth in the trans-Pacific air passenger market. Grey theory is used to develop time series GM(1,1) models for forecasting total passenger and 10 country-pair passenger traffic flows in this market. The accumulated generating operation (AGO) is one of the most important characteristics of grey theory, and its main purpose is to reduce the randomness of data. The original GM(1,1) models are improved by using residual modifications with Markov-chain sign estimations. These models are shown to be more reliable by posterior checks and to yield more accurate prediction results than ARIMA and multiple regression models. The results indicate that the total number of air passengers in the trans-Pacific market will increase at an average annual growth rate of approximately 11% up to the year 2000.
Improved grey prediction models for the trans-Pacific air passenger market
(1998-01-01)
Hsu, CI
;
Wen, YH
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
The rapid economic growth of Asia-Pacific countries continues to result in faster travel growth in the trans-Pacific air passenger market. Grey theory is used to develop time series GM(1,1) models for forecasting total passenger and 10 country-pair passenger traffic flows in this market. The accumulated generating operation (AGO) is one of the most important characteristics of grey theory, and its main purpose is to reduce the randomness of data. The original GM(1,1) models are improved by using residual modifications with Markov-chain sign estimations. These models are shown to be more reliable by posterior checks and to yield more accurate prediction results than ARIMA and multiple regression models. The results indicate that the total number of air passengers in the trans-Pacific market will increase at an average annual growth rate of approximately 11% up to the year 2000.
Logistics cost, consumer demand, and retail establishment density
(1999-07-01)
Hsu, CI
;
Tsai, IJ
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
This article develops models to formulate the optimal density of retail establishments by considering interactions between logistics cost and consumer demand. Commodities are assumed to be distributed from a depot directly or through single intermediate terminal to many retail establishments. Average logistic cost per item, consumer demand, and the interrelationship between them are analyzed. The optimal density of retail establishments and local terminals are determined by minimizing average logistic cost, or maximizing total supply subject to the demand-supply equality. The envelope curves for the optimal configuration strategies corresponding to different values of total market area and terminal cost are derived.
Performance assessment for airport noise charge policies and airline network adjustment response
(2005-07-01)
Hsu, CI
;
Lin, PH
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
Noise charges have been introduced at major airports to mitigate external noise. This research investigated airline network design, by considering aircraft noise charges, and analyzing the performance of airport noise charge policies, from multiple perspectives. We formulated an airline network design model for minimizing airline operating costs, to determine optimal air routes and flight frequencies, as well as types of aircraft, in response to airport noise charges. We further assessed the performance of different noise charge policies by evaluating changes in airport operating profits and the social cost to residents surrounding the airport. An empirical example, using the Chiang Kai-Shek International Airport, illustrates how airports should determine optimal noise charge policies, from different perspectives. The results show that airlines may adjust types of aircraft, flight frequencies and flight routes, in response to hub airport noise charge policies, which may lead to changes in social costs, airport revenues, and weekly aircraft schedules. Landing fees setting may, in addition, affect the control an airport has over social costs, due to noise surcharges. (c) 2005 Elsevier Ltd. All rights reserved.
Reliability evaluation for airline network design in response to fluctuation in passenger demand
(2002-06-01)
Hsu, CI
;
Wen, YH
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
This study develops a reliability evaluation method for airline network design. Reliability evaluation in the airline network design phase is considered herein as a post-design task. A series of models for determining flight frequencies on individual routes, evaluating reliability under normal/abnormal demand fluctuations, and providing a priori adjustment of flight frequencies are presented. A case study demonstrating the feasibility of applying the proposed models is provided. Study results not only suggest a post evaluation and adjustment method for airline network design in response to future uncertain fluctuation in passenger demand, but also provide ways to improve flexibility in airline flight frequency decision-making. (C) 2002 Elsevier Science Ltd. All rights reserved.
Space allocation for commercial activities at international passenger terminals
(2005-01-01)
Hsu, CI
;
Chao, CC
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
This study examines the relationships among commercial revenue, passenger service level and space allocation in international passenger terminals. Using mathematical programming, this study constructs a model for maximizing concession revenues while maintaining service level, to optimize the space allocation for various types of stores. This study then uses CKS International Airport as an example to demonstrate the applicability of the models. The results show that total commercial revenues can be maximized by locating the stores with more concession revenue in the more accessible positions. Moreover, the optimal space allocation for commercial activities and public facilities changes with passenger volumes and/or service levels. (C) 2004 Elsevier Ltd. All rights reserved.
The market size of a city-pair route at an airport
(1997-09-01)
Hsu, CI
;
Wu, YH
;
交大名義發表
;
運輸與物流管理系註：原交通所+運管所
;
National Chiao Tung University
A model is developed for estimating the size of the market for a city-pair route at an airport from both the demand and supply sides of air transportation. The average airport access cost, average passenger delay cost, and average airline operating cost all either increase or decrease with an increase in the market size of a city-pair route at an airport, so the optimum market size can be determined from trade-offs among these costs. A nonlinear mathematical programming problem is formulated to determine the optimal number of passengers, the local service area of a city-pair market and to perform sensitivity analyses. The results show that long-haul services ought to be concentrated in one large airport, while short-haul services might be dispersed among many small airports. Improvements in the technology of the airport access mode or increases in the average income of the cities served can expand the market size and service area, but at a declining expansion rate. In metropolitan areas with high population density, airlines can operate more efficiently and distribute air services among more airports. City-pair markets with stable passenger demand, or markets served by airlines with efficient scheduling technology are shown to exhibit high cost efficiencies.
Travel and activity choices based on an individual accessibility model
(2004-04-01)
Hsu, CI
;
Hsieh, YP
;
運輸與物流管理系註：原交通所+運管所
;
Department of Transportation and Logistics Management
An individual's travel and activity behaviour is influenced by temporal and spatial constraints, travel and activity characteristics and individual attributes. This article formulates an individual accessibility model to measure the accessibility benefits of daily activities undertaken through a trip, a trip chain or at home. The model is extended further to analyse individuals' activity location choices, choices between activities at home and activities through travel, and activity timing and scheduling decisions, with the assumption that an individual chooses an activity/travel alternative with the maximum accessibility benefits. An individual's choice among different locations for participating in an activity is shown to depend on the time budget and the locations of activities scheduled before and after this decided activity. The substitution of an activity at home for an activity through travel is shown to depend on the relative magnitude of activity location attraction and activity duration between these two types of activities and preference parameters. Finally, the article illustrates how an individual schedules one or several continuous or discontinuous activities with time-dependent accessibility benefits so as to maximise benefits.