The development of a policy for road tax in Turkey, using a genetic algorithm approach for demand estimation

Haldenbilen, Soner; Ceylan, Halim

doi:10.1016/j.tra.2005.02.011

Cited by 6 publications

(8 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this work we focus on the air pollution of on-road vehicles to the extent that transportation policies can be evaluated using novel engineering optimization techniques. Similar attempts in policy-setting exist in the literature; for example, Nijkamp and Blaas (1994) provided a general framework for decision-making in transportation policy planning; Haldenbilen and Ceylan (2005) applied a genetic algorithm to assist policy design with traffic demand estimation; Ü lengin et al (2005) developed a transportation decision support system that uses Bayesian causal map to analyze possible scenarios of transportation policies with long term demand projections; Chan et al (2010) demonstrated the use of advanced optimization techniques in policy decision-making on a simplified tworoad case with constant traffic flow. However many of the previous studies focus on well simplified urban models that are generally unsuitable to the complexities of today's world.…”

Section: Introductionmentioning

confidence: 88%

Optimal design and impact analysis of urban traffic regulations under ambient uncertainty

Chan

2010

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

Decision-making in traffic regulations is challenging with uncertainty in the environment. In this research we extend probabilistic engineering design concepts to policy decision-making for urban traffic with variability from field data. City traffic is simulated using user equilibrium and cellular automata. A cellular automata (CA) model is developed by combing existing CA models with tailored rules for local traffic behaviors in Tainan, Taiwan. Both passenger sedans and motorcycles are considered with the possibility of passing between different types of vehicles. The tailpipe emissions from all mobile sources are modeled as Gaussian dispersion with finite line sources. Speed limits of all roads are selected as independent policy design variables, resulting in a problem with 50 dimensions. We first study the impacts of a particular policy-setting on traffic behaviors and on the environment under various sources of uncertainties. The genetic algorithm, combined with probabilistic analysis, is then used to obtain the optimal regulations with the minimal cost to the environment in compliance to the current ambient air quality standards.

show abstract

Section: Introductionmentioning

confidence: 88%

Optimal design and impact analysis of urban traffic regulations under ambient uncertainty

Chan

2010

Stoch Environ Res Risk Assess

View full text Add to dashboard Cite

show abstract

“…These regulations protect the fairness, equality, and effectiveness of big data initiatives that are put on the policy agenda in the health care or taxation sphere. In tax policy, the use of “genetic algorithms” using theory of natural selection to generate insights about future tax income so that policies can be determined far in advance offers an extraordinary potential for greater prediction and control (Haldenbilen & Ceylan, ), but the potential costs for autonomy are high if citizens cannot be protected by rules for what policies are put on the table.…”

Section: Big Data Governance In Three Policy Areasmentioning

confidence: 99%

Big Data and Dahl’s Challenge of Democratic Governance

Ingrams

2019

Review of Policy Research

View full text Add to dashboard Cite

Big data applications have been acclaimed as potentially transformative for the public sector. But, despite this acclaim, most theory of big data is narrowly focused around technocratic goals. The conceptual frameworks that situate big data within democratic governance systems recognizing the role of citizens are still missing. This paper explores the democratic governance impacts of big data in three policy areas using Robert Dahl’s dimensions of control and autonomy. Key impacts and potential tensions are highlighted. There is evidence of impacts on both dimensions, but the dimensions conflict as well as align in notable ways and focused policy efforts will be needed to find a balance.

show abstract

“…The both internal and external cost of the highway transport needs to be decreased. Litman (1998) obtained the transport cost as 0.35$/pass-km [11]. At the present, energy costs are rising sharply, and fossil fuel prices are likely to remain consistently high or even increase in the near future.…”

Section: Calculating the Cost Of Energy And Fuel Costs For Road Transmentioning

confidence: 99%

“…In addition, the vehicle insurance (VIT) and the Motor Inspection (MIT) taxes are also compulsory and static. Dynamic road tax can be defined as the fuel tax (FT) that vehicle users pay during the purchase of the fuel [11]. The most important variable is the cost of road transport in fuel expense represents the fuel expenses Energy Policies incurred during the journey.…”

Section: Calculating the Cost Of Energy And Fuel Costs For Road Transmentioning

confidence: 99%

The Effect of Energy Policies in Turkey on Transportation Sector: The analysis of energy related price and cost in road transportation

Durdağ¹,

Şahin²

2016

Mar. J. Pure Appl. Sci.

View full text Add to dashboard Cite

Energy policies are seriously affecting economic and social life all over the world as well as in Turkey. When the supply process from the energy resource to the consumer increases in energy cost depending on transport type it has important influence. Increase in energy costs in the supply chain is undertaken by all stakeholders. In this study, we examine at which level road transportation costs, which is the most predominant type of transportation in Turkey is influenced by energy consumption with reference to the energy policies of Turkey and energy consumption of Turkish transportation sector. Thus certain suggestions reducing energy costs have been made to all parties in the supply chain by considering the distribution between energy related costs and other costs. Keywords: Energy, Supply Chain, Transportation AN OVERVIEW OF ENERGY CONSEPTEnergy, one of the base quantities of Physics. Energy is a conservative magnitude, it can not be fragmented as it can not be destroyed but it can convert from one form to another. During this conversion process energy loses occur these loses cause unproductiveness. The form of energy which is converted or transformed is called "Primary Energy". Primary energy resources: coal, crude oil, natural gas, nuclear, hydraulic, bio-mass, tidal-wave, sunlight and wind [ Figure 1]. Conversion of primary energy creates a new energy that called "Secondary Energy". Electric, gasoline, diesel oil, coking coal, liquefied petroleum gas are the examples for secondary energy resources. Energy resources on the Earth are divided into two by their generation, fossil and renewable. Fossil (exhaustible) energy resources; hard coal, crude oil, natural gas, uranium, lignite, turf, thorium and asphalt[ Table 1]. Because of their generation take ages, they are non-regenerative energies, due to uncertainty in reserves their costs are increasing. Renewable (natural) energy sources classified as solar energy, wind energy, hydraulic energy, geothermal energy, sea origin energies (wave or tidal) Renewable energy sources are less harmful sources than fossil energy sources. This sources are sources which, generally available on the earth and nature without need for any production process, during production of electricity CO 2 emission occur, regenerate with continuous motion and existing in nature as ready to use [1].

show abstract

The development of a policy for road tax in Turkey, using a genetic algorithm approach for demand estimation

Cited by 6 publications

References 12 publications

Optimal design and impact analysis of urban traffic regulations under ambient uncertainty

Optimal design and impact analysis of urban traffic regulations under ambient uncertainty

Big Data and Dahl’s Challenge of Democratic Governance

The Effect of Energy Policies in Turkey on Transportation Sector: The analysis of energy related price and cost in road transportation

Contact Info

Product

Resources

About