384 research outputs found

    The optimal choice of commuting speed: consequences for commuting time, distance and costs

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    In this paper, we derive a structural model for commuting speed. We presume that commuting speed is chosen to minimise commuting costs, which encompass both monetary and time costs. At faster speed levels, the monetary costs increase, but the time costs fall. Using data from Great Britain, we demonstrate that the income elasticity of commuting speed is approximately 0.13. The ratio of variable monetary costs to travel time costs is estimated to be about 0.14. An implication of this is that as incomes rise commuters choose faster modes, despite their higher monetary costs. This has been an important factor in the growth of commuting by car in the past decades (for example, during the 90s the percentage of work trips made by car in Britain increased from 65 per cent to 70 per cent) and is anticipated to be relevant in the next decades for developing countries such as China and India. With increasing congestion, the time-advantage of car travel will decline, but unless faster public transport modes are available, there will be little incentive to switch to public transport (unless the monetary costs decline substantially in relation to car travel)

    New evidence of the effect of transaction costs on residential mobility

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    Transaction costs have attracted considerable attention in the theoretical literature on residential mobility. In many European countries, these costs mainly consist of ad-valorem transaction costs. In the current paper, we demonstrate empirically for the Netherlands that the transaction costs have a strong negative effect on the owners' probability of moving. Under a range of different specifications, it appears that a one percent-point increase in the value of transaction costs - as a percentage of the value of the residence - decreases ownership to ownership residential mobility rates by eight percent. Our estimates are consistent with the observation that in the Netherlands ad-valorem transaction costs mainly consist of buyer transaction costs.

    Housing supply and the interaction of regional population and employment

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    Housing markets may significantly affect the relationship between regional population and employment, if housing supply is not fully accommodative to demand. We analyse the relationships between housing supply, regional population and employment empirically in a three-equation dynamic model. Annual regional panel data are used for the Netherlands, where a strong tradition of spatial planning exists. We find that net internal migration is strongly determined by housing supply, whereas employment growth has no statistically significant impact. Growth of the housing stock is only moderately affected by population and employment, possibly as a result of restrictive spatial policies. Employment adjusts substantially towards a long-run relationship with the regional population. The analysis further indicates that labour markets drive this long-run adjustment more than local consumer demand. Hence, people follow houses rather than jobs, and jobs follow people in the long run.

    Compensation of regional unemployment in housing markets

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    Why are regional unemployment differentials in Europe so persistent if, as the wage curve literature demonstrates, there is no compensation in labour markets? We hypothesise that workers in high-unemployment regions are compensated in housing markets. Modelling regional unemployment differentials as a consequence of centralised wage bargaining, we show that clearing of land markets may undo the incentive for workers to migrate to low-unemployment regions in general equilibrium. The compensating differentials hypothesis is tested on city-level data for several countries. Controlling for variation in income and amenities, housing is found to be about 3 percent less expensive on average in cities where unemployment is 10 percent up. An analysis of housing demand survey data, which takes account of housing heterogeneity, yields a similar negative relationship. The magnitude of the income effect generated by this compensating differential is consistent with a -0.10 wage curve elasticity. Workers in regions with high unemployment and low per capita income are therefore not necessarily worse off, and regional support programs should take this into account.

    Identification of ‘wasteful commuting’ using search theory

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    In this paper, we employ search theory as a micro-economic foundation for the wasteful commuting hypothesis. In the empirical analysis, the extent of the ‘wasteful commuting’ is identified by comparing the commute of employees and self-employed individuals who do not work from home. It is argued that the commute of the self-employed is the result of a search process for vacant workplaces, whereas employees search for vacant jobs. Because the arrival rate of workplaces exceeds the arrival rate of jobs, the self-employed have a shorter commute. We find that 35% of the commuting time may be considered ‘wasteful’ and reject alternative hypotheses why the self-employed have a shorter commute.

    Closed-loop two-echelon repairable item systems

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    In this paper we consider closed loop two-echelon repairable item systems with repair facilities both at a number of local service centers (called bases) and at a central location (the depot). The goal of the system is to maintain a number of production facilities (one at each base) in optimal operational condition. Each production facility consists of a number of identical machines which may fail incidentally. Each repair facility may be considered to be a multi-server station, while any transport from the depot to the bases is modeled as an ample server. At all bases as well as at the depot, ready-for-use spare parts (machines) are kept in stock. Once a machine in the production cell of a certain base fails, it is replaced by a ready-for-use machine from that base's stock, if available. The failed machine is either repaired at the base or repaired at the central repair facility. In the case of local repair, the machine is added to the local spare parts stock as a ready-for-use machine after repair. If a repair at the depot is needed, the base orders a machine from the central spare parts stock to replenish its local stock, while the failed machine is added to the central stock after repair. Orders are satisfied on a first-come-first-served basis while any requirement that cannot be satisfied immediately either at the bases or at the depot is backlogged. In case of a backlog at a certain base, that base's production cell performs worse. To determine the steady state probabilities of the system, we develop a slightly aggregated system model and propose a special near-product-form solution that provides excellent approximations of relevant performance measures. The depot repair shop is modeled as a server with state-dependent service rates, of which the parameters follow from an application of Norton's theorem for Closed Queuing Networks. A special adaptation to a general Multi-Class MDA algorithm is proposed, on which the approximations are based. All relevant performance measures can be calculated with errors which are generally less than one percent, when compared to simulation results. \u

    Linear programming error bounds for random walks in the quarter-plane

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    We consider approximation of the performance of random walks in the quarter-plane. The approximation is in terms of a random walk with a product-form stationary distribution, which is obtained by perturbing the transition probabilities along the boundaries of the state space. A Markov reward approach is used to bound the approximation error. The main contribution of the work is the formulation of a linear program that provides the approximation error

    Energy consumption in coded queues for wireless information exchange

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    We show the close relation between network coding and queuing networks with negative and positive customers. Moreover, we develop Markov reward error bounding techniques for networks with negative and positive customers. We obtain bounds on the energy consumption in a wireless information exchange setting using network coding

    Energy-delay tradeoff in wireless network coding

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    A queueing model for wireless communication network in which network coding is employed is introduced. It is shown that networks with coding are closely related to queueing networks with positive and negative customers. Analytical upper and lower bounds on the energy consumption and the delay are obtained using a Markov reward approach. The tradeoff between minimizing energy consumption and minimizing delay is investigated. Exact expressions are given for the minimum energy consumption and the minimum delay attainable in a network

    A Linear Programming Approach to Error Bounds for Random Walks in the Quarter-plane

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    We consider the approximation of the performance of random walks in the quarter-plane. The approximation is in terms of a random walk with a product-form stationary distribution, which is obtained by perturbing the transition probabilities along the boundaries of the state space. A Markov reward approach is used to bound the approximation error. The main contribution of the work is the formulation of a linear program that provides the approximation error
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