Voting on road congestion policy

This paper studies the political economy of urban traffic policy. A city council and a regional government (representing city and suburbs) decide respectively on parking fees and a road toll. Both charges are below the optimum when median voters in city and suburbs prefer cars to public transport sufficiently more than the average. Even if the city government would set an optimal road toll, the regional government blocks it when the median suburban voter prefers cars strongly enough. Letting the city control parking and road pricing may therefore increase chances of adoption of the latter. However, if the city controls parking and the region road pricing, the combined charges are higher than if the city controlled them both. Hence, when voters want all charges below the optimum, the involvement of two governments may be desirable. We also find that earmarking road pricing revenues for public transport is welfare-enhancing, compared to lump-sum redistribution, only if they are topped up by extra funds granted to the city by a higher level of government.     

基于博弈论的城市道路交通拥挤收费分析

针对城市道路交通拥挤不断加剧,交通供需不平衡矛盾日益尖锐的现实问题,在分析城市道路交通拥挤收费基本原理的基础上,应用博弈论的分析方法,针对交通出行车与交通管理者之间的拥挤收费进行了博弈分析,以期对我国实施该政策具有借鉴意义。     

Optimal information transmission in organizations: search and congestion

We propose a stylized model of a problem-solving organization whose internal communication structure is given by a fixed network. Problems arrive randomly anywhere in this network and must find their way to their respective specialized solvers by relying on local information alone. The organization handles multiple problems simultaneously. For this reason, the process may be subject to congestion. We provide a characterization of the threshold of collapse of the network and of the stock of floating problems (or average delay) that prevails below that threshold. We build upon this characterization to address a design problem: the determination of what kind of network architecture optimizes performance for any given problem arrival rate. We conclude that, for low arrival rates, the optimal network is very polarized (i.e. star-like or centralized), whereas it is largely homogenous (or decentralized) for high arrival rates. These observations are in line with a common transformation experienced by information-intensive organizations as their work flow has risen in recent years.     

Optimal forecasts in the presence of structural breaks

This paper considers the problem of forecasting under continuous and discrete structural breaks and proposes weighting observations to obtain optimal forecasts in the MSFE sense. We derive optimal weights for one step ahead forecasts. Under continuous breaks, our approach largely recovers exponential smoothing weights. Under discrete breaks, we provide analytical expressions for optimal weights in models with a single regressor, and asymptotically valid weights for models with more than one regressor. It is shown that in these cases the optimal weight is the same across observations within a given regime and differs only across regimes. In practice, where information on structural breaks is uncertain, a forecasting procedure based on robust optimal weights is proposed. The relative performance of our proposed approach is investigated using Monte Carlo experiments and an empirical application to forecasting real GDP using the yield curve across nine industrial economies.     

The effect of government highway spending on road users' congestion costs

Policymakers attempt to reduce the growth of congestion by spending billions of dollars annually on our road system. We evaluate this policy by estimating the determinants of congestion costs for motorists, trucking operations, and shipping firms. We find that, on average, one dollar of highway spending in a given year reduces the congestion costs to road users only eleven cents in that year. We also find that even if the allocation of spending were optimized to minimize congestion costs that it still is not a cost-effective way to reduce congestion. We conclude the evidence strengthens the case for road pricing.     

城市道路交通拥挤收费的实践及对我国的启示

拥挤收费作为缓解城市交通拥挤的有效措施,其应用正逐步得到重视.文章介绍了新加坡、伦敦拥挤收费的实践,分析了这些实践活动对我国实施拥挤收费管理的启示.     

Competition and nationally optimum resource allocation under the presence of urban traffic congestion

The present paper compares the market city size and the socially optimal city size in a model which allows for traffic congestion. It establishes that under the assumptions of constant returns to scale and perfect competition for commuter train companies, market forces alone will produce optimality in traffic congestion, in resource allocation for traffic facilities, and in the city size. The notion of optimality in this paper is in the sense of maximizing the welfare of the entire nation, rather than that of the city residents.     

Optimal property taxation in the presence of interregional capital mobility

A single region's optimal property tax policy is examined in a model with interregional capital mobility. In this model, property taxation is used to finance local public expenditures. Different tax rates may be imposed on property used to produce goods which are traded between regions and property used to produce nontraded goods (e.g., residential property). The key determinants of the difference between the optimal tax rates are identified, and it is argued that there exists a bias towards relatively low tax rates on property used to produce traded goods. The role of labor mobility is also investigated.     

Optimal capacity with stochastic demand

A model focusing on the choice of capacity in an environment with stochastic demand is presented. The paper establishes the conditions under which bias in traditional econometric measures of capacity utilization may occur. As illustration, the model is applied to the Norwegian vessel-building industry. The results from traditional econometric studies in this industry are adjusted using the results from the model presented. The analysis indicates an upward bias in the traditional capacity utilization index; the excess capacity in the analyzed industry, as determined by deviation from the optimal, stochastically-adjusted level of capacity, is higher than that determined by traditional econometric measures. However, the author is reluctant to draw definitive conclusions from the empirical part of the paper due to uncertainty regarding data and assumptions made. The empirical implementation is primarily illustrative and should be interpreted as such.     

The incidence of congestion and congestion tolls

In contrast with the enormous literature on efficiency aspects of congestion tolls, very little has appeared on their equity implications. Simulation is applied to a standard urban model to learn about the distributional aspects of an optimal toll, or the absence of one. Tolls are found to produce distributional changes which may overshadow their effects on allocative efficiency. In passing, the model is used to demonstrate that lagged supply adjustments to increases in the demand for suburban housing may be an effective, if second-best, alternative to congestion tolls.     

Optimal estimates and optimal predictors of finite population characteristics in the presence of nonresponse

Summary When samples from a finite population are studied, for instance by interview, there will usually be some units from which no response is obtained. In this paper optimal predictors of finite population characteristics, when nonresponse is present, are studied. The predictors are studied under simple regression superpopulation models. The optimal predictors are connected to the classical weighted sample estimates which are shown to be maximum likelihood estimates, provided the probability function is fully described by the sampling design. The predictors are compared with respects to their efficiencies for some simple models and a possible explanation to the fact that the poststratification estimate which compensate for nonresponse does no better than the simple estimate, is pointed out.     

Inside the queue:: hypercongestion and road pricing in a continuous time–continuous place model of traffic congestion

This paper develops a continuous-time–continuous-place dynamic economic model of traffic congestion, based on car-following theory. The model integrates two archetype congestion technologies used in the economics literature: ‘static flow congestion’ and ‘dynamic bottleneck congestion.’ With endogenous departure times and a bottleneck along the route, ‘hypercongestion’ arises as a dynamic equilibrium phenomenon on the upstream road segment. Congestion tolls based on an intuitive dynamic and space-varying generalization of the standard Pigouvian tax rule can hardly be improved upon. A naïve application of a toll schedule based on Vickrey's bottleneck model performs much worse and reduces welfare in the numerical model.     

Optimal selling mechanisms for multiproduct monopolists: incentive compatibility in the presence of budget constraints

We analyze the nonlinear pricing problem faced by an incomplete information monopolist operating in a market populated by agents with budget constraints. We show that if other goods are available and if the monopolist's goods are nonessential relative to other goods, then there exists an optimal, individually rational, and incentive compatible selling mechanism for the monopolist (Theorem 1). Moreover, we show that a solution to all such nonlinear pricing problems exists if and only if the monopolist's goods are nonessential (Theorem 2). In the absence of nonessentiality, we show that if the monopolist's profit function is independent of quantity (e.g., if all costs are fixed), then an optimal selling mechanism exists (Theorem 3). Finally, we show that if there is reporting (of types by agents) and partial recognition of types (by the monopolist), then an optimal selling mechanism exists, even in the absence of nonessentiality, provided agents' utility functions are affine and continuous in goods (Theorem 4).     

Optimal delegation choices in the presence of an incongruent performance measure and double moral hazard

An owner‐manager can delegate two tasks to an agent. A time constraint prevents him from completing both tasks at first‐best levels. He can (a) perform both tasks personally to the extent possible, (b) delegate one task to an agent, or (c) delegate both tasks. Agency costs arise from a congruity problem, a double moral hazard problem, and a risk and incentive trade‐off. Delegation becomes more favorable the stronger the time constraint. Once delegation is preferred, the optimal extent of delegation depends on the relation of sensitivity to productivity ratios in both tasks. Agency costs not necessarily increase in delegation level.     

Optimal portfolio choice in the presence of domestic systemic risk: empirical evidence from stock markets

In this paper, we empirically investigate the consequences of domestic systemic risk for stock market investors. To tackle this issue, we consider two different investment strategies. One strategy is to be “crisis-conscious”, i.e., taking the possibility of systemic events into account, and the other one is to be “crisis-ignorant” and thus disregarding systemic risk. We compare the optimal portfolio choices and investment results of these strategies in an historical simulation, using almost three decades of historical stock price data. Our main findings are as follows: the crisis-conscious investor tends to choose less extreme portfolio weights for individual stocks than the ignorant investor. The overall risky investment is, however, of similar size for both. By ignoring the possibility of systemic events, the crisis-ignorant strategy performs significantly worse from the viewpoint of expected return as well as expected utility.     

Optimal policies in cities with congestion and agglomeration externalities: Congestion tolls,labor subsidies,and place-based strategies

This paper develops a spatial general equilibrium model that accommodates both congestion and agglomeration externalities, while firms’ and households’ land-use decisions are endogenous across continuous space. Focusing on the interaction between externalities and land use patterns, we examine the efficiencies of first-best policies and second-best pricing and place-based strategies using numerical simulations. A first-best policy must combine both Pigouvian congestion tolling (PCT) and Pigouvian labor subsidies (PLS) instruments, or design an optimal toll (or subsidy) internalizing agglomeration externalities (or congestion externalities). We also examine second-best pricing policies if only one instrument is adopted. Congestion pricing policies alone (e.g., a partial PCT or a flat-rate toll) can improve social welfare only in heavy-congestion cities, and their welfare gains may be insignificant (e.g., below 10% of the welfare improvement achieved by first-best policies). In contrast, second-best labor subsidy policies alone are a more effective alternative to first-best policies. As to place-based policies, the firm cluster zoning (FCZ) regulation is more efficient than the urban growth boundary (UGB) policy. UGBs only have small effects on the agglomeration economy but could worsen land market distortions via residential rent-escalation effects. These findings suggest that it is important to internalize business land use decisions and relax monocentricity assumptions, in order to appreciate the interplay of both urban externalities, since spatial adaptations to policy interventions can distort system efficiencies.     

Directional congestion in the framework of data envelopment analysis

This study first proposes a definition for directional congestion in certain input and output directions within the framework of data envelopment analysis. Second, two methods from different viewpoints are proposed to estimate the directional congestion. Third, we address the relationship between directional congestion and classic (strong or weak) congestion. Finally, we present a case study investigating the analysis performed by the research institutes of the Chinese Academy of Sciences to demonstrate the applicability and usefulness of the methods developed in this study.     

互联网网络拥塞的控制论算法探讨

当前,互联网用户和规模都在不断扩张,网络流量也在爆发式增长,网络负担日趋增大,拥塞问题也日益严重。基于此,文章简要探讨了目前网络拥塞研究的一些控制论算法。     

基于GIS面向对象道路模型在道路设计中的运用

随着道路建设的迅猛发展,3DGIS无论在道路勘察设计,还是在城市道路规划中都得到了越来越广泛的应用。文章着重介绍了3DGIS的定义和在道路设计中的应用。