Serviceability Based Park and Ride Choice Behaviors Influenced by Road Toll Policy for Metropolitan Commuting Corridors

2012 ◽  
Vol 178-181 ◽  
pp. 1891-1897
Author(s):  
Hui Zhao ◽  
Xue Dong Yan ◽  
Cui Ping Zhang ◽  
Mei Wu An
Keyword(s):  
Equilibrium Model ◽  
System Performance ◽  
Demand Management ◽  
Mass Transit ◽  
Transportation System ◽  
Transportation Systems ◽  
Modal Choice ◽  
Transportation Demand ◽  
Park And Ride ◽  
Different Types

Existing park and ride (P&R) facilities may enhance the serviceability of the transportation systems by redistributing travelers from vehicles mode to mass transit. As a tool in transportation demand management, road tolling policy will have an influence on the transportation system with P&R facilities. In this paper, impact of various road tolling policies on modal choice behaviors within context of commuting corridors with P&R services are investigated from the perspective of serviceability. The related road tolling schemes contains first-best toll, distance-based toll and cordon-based toll. The probability of commuters’ modal-choice is estimated using a stochastic equilibrium model. Innovatively, the serviceability concept is adopted to evaluate performances of different travel modes. Model results illustrate how transportation system performance is influenced by the different types of road tolling policies. Some of the results are concordant with empirical findings in the literature.

scholarly journals Sustainable urban transportation development in China: A behavioral perspective

2021 ◽  
Author(s):  
Shuai Ling ◽  
Shoufeng Ma ◽  
Ning Jia
Keyword(s):  
Traffic Management ◽  
Rapid Development ◽  
Demand Management ◽  
Urban Transportation ◽  
Transportation Systems ◽  
Transportation Demand ◽  
Special Cases ◽  
Traffic Systems ◽  
Four Levels ◽  
Transportation Development

AbstractThe rapid development of economics requires highly efficient and environment-friendly urban transportation systems. Such requirement presents challenges in sustainable urban transportation. The analysis and understanding of transportation-related behaviors provide one approach to dealing with complicated transportation activities. In this study, the management of traffic systems is divided into four levels with a structural and systematic perspective. Then, several special cases from the perspective of behavior, including purchasing behaviors toward new energy vehicles, choice behaviors toward green travel, and behavioral reactions toward transportation demand management policies, are investigated. Several management suggestions are proposed for transportation authorities to improve sustainable traffic management.

Study on Park and Ride Locating Based on Transportation Demand Management

2014 ◽  
Vol 1030-1032 ◽  
pp. 2254-2259
Author(s):  
Jin De Cai ◽  
Ke Zhang
Keyword(s):  
Traffic Congestion ◽  
Transportation Network ◽  
Demand Management ◽  
Urban Transportation ◽  
Urban Traffic ◽  
Transportation Costs ◽  
Construction Costs ◽  
Transportation Management ◽  
Transportation Demand ◽  
Park And Ride

With the increasingly serious problem of urban traffic congestion, more attention is focused on the Park and Ride (P&R) schemes based on urban transportation demand (TDM) management. The P&R locating research, as an important part of the scheme, plays an important role to strengthen the transportation management. On the basis of identifying all the potential P&R locations, and from the macroscopic perspective of urban transportation network, this paper establishes a model of P&R locating in order to minimize their construction costs as well as the total transportation costs. Example analysis is finally carried out with the help of Lingo software, thus testifying the validity of this research.

scholarly journals Bicycle Usage in the Urban Transportation: Pristina Example

2019 ◽  
Vol 3 (1) ◽  
pp. 50
Author(s):  
Beni Kizolli ◽  
Seda Hatipoglu
Keyword(s):  
Public Transport ◽  
Demand Management ◽  
Urban Transportation ◽  
Field Research ◽  
Transportation Systems ◽  
Urban Traffic ◽  
Central Ring ◽  
Transportation Demand ◽  
Wide Road ◽  
Bicycle Lane

The aim of the research is to provide suggestions for increasing the use of bicycles, which are part of the modern transportation policies. The methodology in the research was developed according to the physical characteristics of the city center in Pristina and the new regulations of the Pristina Development Plan. In this context, in the questionnaires, the approach, demand and application possibilities of the passengers against the other transportation systems (except private vehicles) were evaluated. The field research questions were asked to get the thoughts of public transport passengers about these issues. The responses of 782 passengers that are directly or indirectly related with bicycle usage. As a result of these recommendations, Pristina will have two-way bicycle lanes with a length of 16 km to complete the cycling network. In this context, it was emphasized that the suggestions for the urban bicycle network in Pristina were evaluated in order of priority. Recommendations are given in accordance with the infrastructure of the route and it is expected that a regular transportation type will be provided to the urban transportation of Pristina by carrying out the arrangements on a 16 m wide road between the two sidewalks (platforms). In the new regulations, a two-way 4 km bike lane is proposed in the central ring of Pristina, as a result of the bicycle lanes that will form the bicycle network in Pristina to implement the bicycle public transport integration strategy in the future. Approximately 8.5 km two-way bicycle lane in central ring, 1.5 km two-way bicycle lane in the southwestern region and 2km bicycle lane in the southeastern region has been proposed for Pristina. Key words: Urban traffic, Transportation Demand Management, Bike Lane, Pristina.

Performance Evaluation of Distributed Database Systems

2014 ◽  
Vol 13 (9) ◽  
pp. 4859-4867
Author(s):  
Khaled Saleh Maabreh
Keyword(s):  
Performance Evaluation ◽  
System Performance ◽  
Operation Mode ◽  
Database Systems ◽  
Distributed Database ◽  
Evaluation Study ◽  
Distributed Database Systems ◽  
Different Types ◽  
Distributed Database System ◽  
Distributed Database Management

Distributed database management systems manage a huge amount of data as well as large and increasingly growing number of users through different types of queries. Therefore, efficient methods for accessing these data volumes will be required to provide a high and an acceptable level of system performance.  Data in these systems are varying in terms of types from texts to images, audios and videos that must be available through an optimized level of replication. Distributed database systems have many parameters like data distribution degree, operation mode and the number of sites and replication. These parameters have played a major role in any performance evaluation study. This paper investigates the main parameters that may affect the system performance, which may help with configuring the distributed database system for enhancing the overall system performance.

Exploratory Evaluation of a Concept Combining Incentivized On-Demand Ridesharing with Congestion Pricing

2021 ◽  
pp. 036119812110116
Author(s):  
Patrick DeCorla-Souza
Keyword(s):  
Demand Management ◽  
Congestion Pricing ◽  
Economic Benefits ◽  
Transportation Demand Management ◽  
Transportation Demand ◽  
Transportation Funding ◽  
On Demand ◽  
Federal Highway ◽  
Planning Tools ◽  
Management Concept

This paper presents an innovative transportation demand management concept involving congestion pricing synergistically combined with incentivized on-demand ridesharing. An exploratory evaluation of the concept was undertaken using sketch-planning tools developed by the Federal Highway Administration. The analysis suggests that the concept could be financially viable, achieve significant economic benefits, and potentially generate surplus revenues that could be sufficient to address transportation funding gaps.

Simplex-Based Calibration of Traffic Microsimulation Models with Intelligent Transportation Systems Data

2003 ◽  
Vol 1855 (1) ◽  
pp. 80-89 ◽  
Author(s):  
Kyu-Ok Kim ◽  
L. R. Rilett
Keyword(s):  
Intelligent Transportation Systems ◽  
Urban Areas ◽  
System Modeling ◽  
Intelligent Transportation ◽  
Simplex Algorithm ◽  
Transportation System ◽  
Transportation Systems ◽  
Test Bed ◽  
Morning Peak ◽  
Microsimulation Models

In recent years, microsimulation has become increasingly important in transportation system modeling. A potential issue is whether these models adequately represent reality and whether enough data exist with which to calibrate these models. There has been rapid deployment of intelligent transportation system (ITS) technologies in most urban areas of North America in the last 10 years. While ITSs are developed primarily for real-time traffic operations, the data are typically archived and available for traffic microsimulation calibration. A methodology, based on the sequential simplex algorithm, that uses ITS data to calibrate microsimulation models is presented. The test bed is a 23-km section of Interstate 10 in Houston, Texas. Two microsimulation models, CORSIM and TRANSIMS, were calibrated for two different demand matrices and three periods (morning peak, evening peak, and off-peak). It was found for the morning peak that the simplex algorithm had better results then either the default values or a simple, manual calibration. As the level of congestion decreased, the effectiveness of the simplex approach also decreased, as compared with standard techniques.

scholarly journals The Optimization of Hybrid Power Systems with Renewable Energy and Hydrogen Generation

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 1948 ◽  
Author(s):  
Fu-Cheng Wang ◽  
Yi-Shao Hsiao ◽  
Yi-Zhe Yang
Keyword(s):  
Power Systems ◽  
System Performance ◽  
Hydrogen Generation ◽  
System Optimization ◽  
Energy Sources ◽  
Model Parameters ◽  
Power Model ◽  
Hybrid Power Systems ◽  
Hybrid Power ◽  
Different Types

This paper discusses the optimization of hybrid power systems, which consist of solar cells, wind turbines, fuel cells, hydrogen electrolysis, chemical hydrogen generation, and batteries. Because hybrid power systems have multiple energy sources and utilize different types of storage, we first developed a general hybrid power model using the Matlab/SimPowerSystemTM, and then tuned model parameters based on the experimental results. This model was subsequently applied to predict the responses of four different hybrid power systems for three typical loads, without conducting individual experiments. Furthermore, cost and reliability indexes were defined to evaluate system performance and to derive optimal system layouts. Finally, the impacts of hydrogen costs on system optimization was discussed. In the future, the developed method could be applied to design customized hybrid power systems.

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