On the Perturbation of Self-Organized Urban Street Networks

We investigate urban street networks as a whole within the frameworks of information physics and statistical physics. Urban street networks are envisaged as evolving social systems subject to a Boltzmann-mesoscopic entropy conservation. For self-organized urban street networks, our paradigm has already allowed us to recover the effectively observed scale-free distribution of roads and to foresee the distribution of junctions. The entropy conservation is interpreted as the conservation of the surprisal of the city-dwellers for their urban street network. In view to extend our investigations to other urban street networks, we consider to perturb our model for self-organized urban street networks by adding an external surprisal drift. We obtain the statistics for slightly drifted self-organized urban street networks. Besides being practical and manageable, this statistics separates the macroscopic evolution scale parameter from the mesoscopic social parameters. This opens the door to observational investigations on the universality of the evolution scale parameter. Ultimately, we argue that the strength of the external surprisal drift might be an indicator for the disengagement of the city-dwellers for their city.Comment: 22 pages, 4 figures + 1 table, LaTeX2e+BMCArt+AmSLaTeX+enote

Incentives for pollution control - regulation and public disclosure

An increasing number of regulators have adopted public disclosure programs to create incentives for pollution control. Previous empirical analyses of monitoring and enforcement issues have focused strictly on the impact of such traditional practices as monitoring (inspections) and enforcement (fines and penalties) on polluters'environmental performance. Other analyses have separately focused on the impact of public disclosure programs. But can these programs create incentives in addition to the normal incentives of fines and penalties? The authors study the impact of both traditional enforcement and information strategies in the context of a single program, to gain insights into the relative impact of traditional (fines and penalties) and emerging (public disclosure) enforcement strategies. Their results suggest that the public disclosure strategy adopted by the province of British Columbia, Canada, has a greater impact on both emission levels and compliance status than do orders, fines, and penalties traditionally imposed by the courts and the Ministry of the Environment. But their results also demonstrate that adopting stricter standards and higher penalties also significantly affected emission levels. Policymakers, take note: 1) The presence of strong, clear standards together with a significant, credible penalty system sends appropriate signals to the regulated community, which responds by lowering pollution emissions. 2) The public disclosure of environmental performance creates strong additional incentives to control pollution.Public Health Promotion,Water and Industry,Water Conservation,Environmental Economics&Policies,Health Monitoring&Evaluation,Environmental Economics&Policies,Water and Industry,Health Monitoring&Evaluation,Sanitation and Sewerage,TF030632-DANISH CTF - FY05 (DAC PART COUNTRIES GNP PER CAPITA BELOW USD 2,500/AL

Pair Approximation Models for Disease Spread

We consider a Susceptible-Infective-Recovered (SIR) model, where the mechanism for the renewal of susceptibles is demographic, on a ring with next nearest neighbour interactions, and a family of correlated pair approximations (CPA), parametrized by a measure of the relative contributions of loops and open triplets of the sites involved in the infection process. We have found that the phase diagram of the CPA, at fixed coordination number, changes qualitatively as the relative weight of the loops increases, from the phase diagram of the uncorrelated pair approximation to phase diagrams typical of one-dimensional systems. In addition, we have performed computer simulations of the same model and shown that while the CPA with a constant correlation parameter cannot describe the global behaviour of the model, a reasonable description of the endemic equilibria as well as of the phase diagram may be obtained by allowing the parameter to depend on the demographic rate.Comment: 6 pages, 3 figures, LaTeX2e+SVJour+AmSLaTeX, NEXTSigmaPhi 2005; metadata title corrected wrt paper titl

A semiparametric approach for a multivariate sample selection model

International audienceMost of the common estimation methods for sample selection models rely heavily on parametric and normality assumptions. We consider in this paper a multivariate semiparametric sample selection model and develop a geometric approach to the estimation of the slope vectors in the outcome equation and in the selection equation. Contrary to most existing methods, we deal symmetrically with both slope vectors. Moreover, the estimation method is link-free and distributionfree. It works in two main steps: a multivariate sliced inverse regression step, and a canonical analysis step. We establish pn-consistency and asymptotic normality of the estimates. We describe how to estimate the observation and selection link functions. The theory is illustrated with a simulation study