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This paper introduces a computationally efficient method for estimating structural parameters of dynamic discrete choice models with large choice sets. The method is based on Poisson pseudo maximum likelihood (PPML) regression, which is widely used in the international trade and migration literature to estimate the gravity equation. Unlike most of the existing methods in the literature, it does not require strong parametric assumptions on agents' expectations, thus it can accommodate macroeconomic and policy shocks. The regression requires count data as opposed to choice probabilities; therefore it can handle sparse decision transition matrices caused by small sample sizes. As an example application, the paper estimates sectoral worker mobility in the United States.

Discrete Choice Models --- Gravity Equation --- International Economics & Trade --- Labor Mobility --- Migration --- Poisson Pseudo Maximum Likelihood

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The goal of this Special Issue is to discuss new challenges in the simulation and management problems of both traditional and innovative bike-sharing systems, to ultimately encourage the competitiveness and attractiveness of BSSs, and contribute to the further promotion of sustainable mobility. We have selected thirteen papers for publication in this Special Issue.

Technology: general issues --- bike sharing --- rebalancing --- clustering --- optimization --- sustainability --- bike-sharing --- public bicycles --- shared use mobility --- cycling --- sustainable transport --- Free-Floating Bike-sharing Systems --- causes of disorderly parking --- factor analysis --- sustainable mode of transportation --- bike-sharing system --- public bicycle --- complex network --- network structure --- e-bike sharing --- transport sustainability --- mobile depot --- cruise tourism --- ordered probit model --- bikeway network design --- selective nodes --- elimination heuristic --- demand coverage --- bike share --- cycling safety --- night-time visibility --- cognitive difference between cyclists and drivers --- free-floating bike-sharing system --- influence factor --- social-psychological variables --- intention --- use frequency --- post-sharing era --- bikesharing --- brand choice --- conditional Logit model --- sustainable development --- public bike sharing --- cluster analysis --- categorization --- data collection --- sharing economy --- stated preference --- discrete choice models --- bike-sharing rebalancing problem --- multi-energy mixed fleets --- traffic restrictions --- simulated annealing --- variable neighborhood structures --- BSS station efficiency --- data envelopment analysis --- spatial analysis in transport --- bike-sharing station --- n/a

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The goal of this Special Issue is to discuss new challenges in the simulation and management problems of both traditional and innovative bike-sharing systems, to ultimately encourage the competitiveness and attractiveness of BSSs, and contribute to the further promotion of sustainable mobility. We have selected thirteen papers for publication in this Special Issue.

bike sharing --- rebalancing --- clustering --- optimization --- sustainability --- bike-sharing --- public bicycles --- shared use mobility --- cycling --- sustainable transport --- Free-Floating Bike-sharing Systems --- causes of disorderly parking --- factor analysis --- sustainable mode of transportation --- bike-sharing system --- public bicycle --- complex network --- network structure --- e-bike sharing --- transport sustainability --- mobile depot --- cruise tourism --- ordered probit model --- bikeway network design --- selective nodes --- elimination heuristic --- demand coverage --- bike share --- cycling safety --- night-time visibility --- cognitive difference between cyclists and drivers --- free-floating bike-sharing system --- influence factor --- social-psychological variables --- intention --- use frequency --- post-sharing era --- bikesharing --- brand choice --- conditional Logit model --- sustainable development --- public bike sharing --- cluster analysis --- categorization --- data collection --- sharing economy --- stated preference --- discrete choice models --- bike-sharing rebalancing problem --- multi-energy mixed fleets --- traffic restrictions --- simulated annealing --- variable neighborhood structures --- BSS station efficiency --- data envelopment analysis --- spatial analysis in transport --- bike-sharing station --- n/a