Optimum Allocation of the Capital Funds to the Transportation Infrastructures Using the Interregional Input–Output Programming Model (Part I): Specification with Five Regions, Five Industries, and Three Transport Modes

2022 ◽  
pp. 137-311
Author(s):  
Hirotada Kohno ◽  
Yoshiro Higano
Keyword(s):  
Programming Model ◽  
Optimum Allocation ◽  
Input Output ◽  
Transportation Infrastructures ◽  
Transport Modes

scholarly journals Identifying industrial restructuring strategy for CO2 emissions reduction in China: A multi-region input-output linear programming model

2019 ◽  
pp. 12-25
Author(s):  
Jidong Kang ◽  
Tsan Sheng Ng
Keyword(s):  
Linear Programming ◽  
Co2 Emissions ◽  
Programming Model ◽  
Linear Programming Model ◽  
Industrial Restructuring ◽  
Emissions Reduction ◽  
Input Output ◽  
Optimal Sequence ◽  
Negative Effect ◽  
Restructuring Strategy

The current paper combines multi-regional input-output model and linear programming model to identify industrial shift strategies for CO2 emissions reduction in China. As a supplement to the previous studies, the optimal sequence of demand regulation for various products is explored. The results show that demand side regulation would pose negative effect on both GDP and CO2 emissions. However, certain strategies can be adopted to decrease CO2 emissions at the minimum decrease in GDP. According to the optimal sequence analysis, a group of key final products, such as the metallurgy products, the nonmetal products, the metal products, and the chemical products should be firstly regulated. Most of these key products concentrate in the eastern and coastal regions in China. Our model can be used to aid policy makers in design of effective industrial restructuring policy to achieve the national emissions targets.

scholarly journals Modeling a Distance-Based Preferential Fare Scheme for Park-and-Ride Services in a Multimodal Transport Network

2021 ◽  
Vol 13 (5) ◽  
pp. 2644
Author(s):  
Xinyuan Chen ◽  
Ruyang Yin ◽  
Qinhe An ◽  
Yuan Zhang
Keyword(s):  
Public Transport ◽  
Urban Areas ◽  
Choice Behavior ◽  
Programming Model ◽  
Choice Model ◽  
User Equilibrium ◽  
Transport Network ◽  
Park And Ride ◽  
Multimodal Transport ◽  
Transport Modes

This paper investigates a distance-based preferential fare scheme for park-and-ride (P&R) services in a multimodal transport network. P&R is a sustainable commuting approach in large urban areas where the service coverage rate of conventional public transport modes (e.g., train and bus) is poor/low. However, P&R services in many cities are less attractive compared to auto and other public transport modes, especially for P&R facilities sited far away from the city center. To address this issue, this paper proposes a distance-based preferential fare scheme for P&R services in which travelers who choose the P&R mode get a discount. The longer the distance they travel by train, the better the concessional price they get. A multimodal transport network equilibrium model with P&R services is developed to evaluate the impacts of the proposed distance-based fare scheme. The travelers’ mode choice behavior is modeled by the multinomial logit (MNL) discrete choice model, and their route choice behavior is depicted by the user equilibrium condition. A mathematical programming model is then built and subsequently solved by the outer approximation method. Numerical simulations demonstrate that the proposed distance-based preferential fare scheme can effectively motivate travelers to use a P&R service and significantly enhance the transport network’s performance.

scholarly journals Uncertainties in input-output coefficients for land use optimization studies: an illustration with fertilizer use efficiency

1995 ◽  
Vol 43 (1) ◽  
pp. 47-59
Author(s):  
J. Bessembinder
Keyword(s):  
Land Use ◽  
Programming Model ◽  
Sources Of Information ◽  
Input Output ◽  
Climate Type ◽  
Fertilizer Use Efficiency ◽  
Fertilizer Use ◽  
Land Use Optimization ◽  
Use Efficiency ◽  
Few Data

The problem of uncertainties in input-output coefficients is examined, using the uncertainty in estimating the fertilizer use efficiency as an illustration. An example of uncertainty due to lack of knowledge on processes involved is the use of different approaches for estimating fertilizer use efficiency in two land use optimization studies. A further problem is uncertainty due to lack of data; this is illustrated with an example from the Atlantic Zone of Costa Rica. Very few data are available to determine fertilizer use efficiency and data from regions with similar soil and climate type are not available. Data from non-similar regions may not give a correct assessment of the possibilities in the region. Different concepts and sources of information result in different estimates of coefficients, which might in turn greatly influence the results of the linear programming model. It is therefore concluded that, rather than using one fixed value for a particular input-output coefficient, the effect of uncertainty in coefficients on the final results of the model should be examined.

Location of Firms with Input Transactions

1981 ◽  
Vol 13 (11) ◽  
pp. 1401-1414 ◽  
Author(s):  
M Fujita
Keyword(s):  
Infinite Number ◽  
Dynamic Process ◽  
Mechanical Model ◽  
Programming Model ◽  
Input Output

The locations of two firms with input-output linkages are studied. First, from a study of the equilibrium locations it is shown that there are generally an infinite number of equilibrium locational patterns for such a system, and it is argued that the actual equilibrium locations can only be determined by considering the dynamic process of the equilibrium. Then, the optimal locations are obtained, and compared with equilibrium locations. A mechanical model and a programming model are proposed to obtain the optimal locations and the equilibrium locations, respectively.

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