9,040 research outputs found
The Spatial Variability of Vehicle Densities as Determinant of Urban Network Capacity
Due to the complexity of the traffic flow dynamics in urban road networks,
most quantitative descriptions of city traffic so far are based on computer
simulations. This contribution pursues a macroscopic (fluid-dynamic) simulation
approach, which facilitates a simple simulation of congestion spreading in
cities. First, we show that a quantization of the macroscopic turning flows
into units of single vehicles is necessary to obtain realistic fluctuations in
the traffic variables, and how this can be implemented in a fluid-dynamic
model. Then, we propose a new method to simulate destination flows without the
requirement of individual route assignments. Combining both methods allows us
to study a variety of different simulation scenarios. These reveal fundamental
relationships between the average flow, the average density, and the
variability of the vehicle densities. Considering the inhomogeneity of traffic
as an independent variable can eliminate the scattering of congested flow
measurements. The variability also turns out to be a key variable of urban
traffic performance. Our results can be explained through the number of full
links of the road network, and approximated by a simple analytical formula
Determinants of choice of migration destination
Internal migration plays an important role in moderating regional differences in well-being. This paper analyzes migrants'choice of destination, using Census and Living Standard Surveys data from Nepal. The paper examines how the choice of a migration destination is influenced by income differentials, distance, population density, social proximity, and amenities. The study finds population density and social proximity to have a strong significant effect: migrants move primarily to high population density areas where many people share their language and ethnic background. Better access to amenities is significant as well. Differentials in expected income and consumption expenditures across districts are found to be relatively less important in determining migration destination choice as their effects are smaller in magnitude than those of other determinants. The results of the study suggest that an improvement in amenities (such as the availability of paved roads) at the origin could slow down out-migration substantially.Population Policies,Economic Theory&Research,Transport Economics Policy&Planning,,Inequality
A Universal Model of Commuting Networks
We test a recently proposed model of commuting networks on 80 case studies
from different regions of the world (Europe and United-States) and with
geographic units of different sizes (municipality, county, region). The model
takes as input the number of commuters coming in and out of each geographic
unit and generates the matrix of commuting flows betwen the geographic units.
We show that the single parameter of the model, which rules the compromise
between the influence of the distance and job opportunities, follows a
universal law that depends only on the average surface of the geographic units.
We verified that the law derived from a part of the case studies yields
accurate results on other case studies. We also show that our model
significantly outperforms the two other approaches proposing a universal
commuting model (Balcan et al. (2009); Simini et al. (2012)), particularly when
the geographic units are small (e.g. municipalities).Comment: 11 pages, 5 figure
The buyer margins of firms' exports
We use highly disaggregated firm-level export data from Costa Rica, Ecuador, and Uruguay over the period 2005-2008 to provide a precise characterization of firms' export margins, across products, destination countries, and crucially customers. We show that a firm's number of buyers and the distribution of sales across them systematically vary with the characteristics of its destination markets. While most firms serve only very few buyers abroad, the number of buyers and the skewness of sales across them increases with the size and the accessibility of destinations. We develop a simple model of selection with heterogeneous buyers and sellers consistent with these findings in which tougher competition induces a better alignment between consumers' ideal variants and firms' core competencies. This generates an additional channel through which tougher competition leads to higher productivity and higher welfare and hints at an additional source of gains from trade as long as freer trade fosters competition
A linear programming based heuristic framework for min-max regret combinatorial optimization problems with interval costs
This work deals with a class of problems under interval data uncertainty,
namely interval robust-hard problems, composed of interval data min-max regret
generalizations of classical NP-hard combinatorial problems modeled as 0-1
integer linear programming problems. These problems are more challenging than
other interval data min-max regret problems, as solely computing the cost of
any feasible solution requires solving an instance of an NP-hard problem. The
state-of-the-art exact algorithms in the literature are based on the generation
of a possibly exponential number of cuts. As each cut separation involves the
resolution of an NP-hard classical optimization problem, the size of the
instances that can be solved efficiently is relatively small. To smooth this
issue, we present a modeling technique for interval robust-hard problems in the
context of a heuristic framework. The heuristic obtains feasible solutions by
exploring dual information of a linearly relaxed model associated with the
classical optimization problem counterpart. Computational experiments for
interval data min-max regret versions of the restricted shortest path problem
and the set covering problem show that our heuristic is able to find optimal or
near-optimal solutions and also improves the primal bounds obtained by a
state-of-the-art exact algorithm and a 2-approximation procedure for interval
data min-max regret problems
Returns to migration : the role of educational attainment in rural Tanzania
Given the migration premium previously identified in an impact evaluation approach, this paper asks the question of why migration is not more prominent, given such high premium associated with it. Using long-term household panel data drawn from rural Tanzania, Kagera for the period 1991-2004, this study aims to answer this question by exploring the contribution of education in the migration premium. By separating migrants into those that moved out of original villages but remained within Kagera and those who left the region, this study finds that, in consumption, the return on investment in education is higher at both destinations. However, whilst the higher return on education fully explains the gains associated with migration within Kagera, it only partly explains those of external migration. These findings suggest that welfare opportunities are higher at the destination and that an individual's limited investment in education plays a major role in preventing short-distance migration from becoming a significant source of raising welfare, which is not the case for long-distance migration. While education plays a role, it appears that other mechanisms may prohibit rural agents from exploiting the arbitrage opportunity when they migrate to the destination at a great distance from the source.Tanzania, Population movement, Migration, Education, Rural societies, Africa, Internal migration, School Investment, Return to education, Welfare growth
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