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on Transport Economics |
| By: | SALLADARRE, Frédéric; LE BOENNEC, Rémy; BEL, Marlène |
| Abstract: | Autonomous vehicles (AVs) will profoundly modify our travel habits. The collective impact of AVs will differ according to the autonomous mode choice. In this paper, we apply a simultaneous-equation model to a database from an original 2017 survey of French mobility users to analyze their acceptance of two forms of autonomous transport mode: autonomous shuttles and robotaxis (N=3,297). Our results show that the intention to use autonomous shuttles is on average greater than robotaxis. Gender and age influence autonomous mode choice, as well as the current transport mode. In addition, location and urban representations play a central role. |
| Keywords: | Robotaxi; Autonomous shuttle; Autonomous vehicle; Urban representation; Travel habit; Intention to use; Acceptance; Transport mode; Autonomous mode choice; Simultaneous-equation model |
| JEL: | C35 C38 R41 |
| Date: | 2021 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:113635&r= |
| By: | Tatsuya Abe |
| Abstract: | This paper examines the efficiency and distributional effects of fuel tax and feebate policies in the automobile market. I employ a model in which households make two-stage decisions on car ownership and utilization, and I estimate model parameters by combining micro-level data from a household survey and macro-level aggregate data on the Japanese new car market from 2006 through 2013. Interestingly, several system changes in the Japanese feebate created rich variations in vehicle prices across vehicles and over time during the sample period. I use such exogenous variation to overcome the vehicle price endogeneity associated with demand estimation. Counterfactual analyses show that the Japanese feebate results in a significant increase in social welfare while augmenting environmental externalities. In particular, the rebound effect induced by the feebate cancels out approximately 7% of the reduction in CO2 emissions that would originally have been attained by the improvement in fuel economy. In addition, I find that the fuel tax at the current tax rate in Japan is 1.7 times less costly than the product tax, an alternative feebate scheme considered in the counterfactuals. I also find that there is no difference in regressivity between the two policies in reducing negative environmental externalities by the same amount. |
| Date: | 2022–07 |
| URL: | http://d.repec.org/n?u=RePEc:dpr:wpaper:1183&r= |
| By: | Paskynel Jacques-Arvisais; Simon Lapointe |
| Abstract: | This study examines the relationship between transportation infrastructure and output and productivity in Canada. We estimate different specifications of a static Cobb-Douglas production function (in levels and in differences). The impact of highway infrastructure is mixed. For the 1997-2018 period a higher stock of highways does not translate into higher productivity for the business sector, But from 2009 to 2018, the impact of highways is positive and statistically significant, when we account for province-specific characteristics. The long run elasticity of output with respect to railway lines is statistically significant and quite large (0.27). For this type of infrastructure, then, our results are more conclusive and point to a positive impact of railways on output and productivity. |
| Keywords: | transportation infrastructure, output, productivity, Canada |
| Date: | 2022–02 |
| URL: | http://d.repec.org/n?u=RePEc:sls:resrep:1926&r= |
| By: | César Ducruet; David Guerrero |
| Abstract: | This research discusses the different spatial configurations of the nexus between inland city and port gateway. A comparative analysis of 64 inland capital cities is proposed based on port, transport, trade, and urban indicators. The obtained trends suggest that there is a trade-off between remoteness and trade openness, which differentiates three clusters of inland cities: major logistics hubs, constrained metropolises, and underdeveloped corridors. We review more qualitatively intermodalism and port choice issues along six selected corridors. |
| Keywords: | corridor; freight flows; maritime transport; port hinterland; trade openness; urban system |
| JEL: | L90 R40 |
| Date: | 2022 |
| URL: | http://d.repec.org/n?u=RePEc:drm:wpaper:2022-17&r= |
| By: | Amirhesam Badeanlou; Andrea Araldo; Marco Diana |
| Abstract: | We propose a methodology to assess transportation accessibility inequity in metropolitan areas. The methodology is based on the classic analysis tools of Lorenz curves and Gini indices, but the novelty resides in the fact that it can be easily applied in an automated way to several cities around the World, with no need for customized data treatment. Indeed, our equity metrics can be computed solely relying on open data, publicly available in standardized form. We showcase our method and study transp |
| Date: | 2022–06 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:2206.09037&r= |
| By: | Linnan Yan; Menger Tu, Andre Luis Squarize Chagas, Lufeng Tai |
| Abstract: | Existing studies neglected to assess the resource allocation effect of high-speed railway (HSR). This paper examines the impact of HSR on labor spatial misallocation in China by applying a modifified spatial difference-in-differences approach, which identify local treatment effect, spillover effect on treated and untreated regions. The study fifinds: (1) Opening HSR alleviates not only the local labor misallocation but also the misallocation in surrounding areas to a greater extent, including cities with HSR (treatment group) and without HSR (control group), which contributes to the overall productivity increase. The spillover effect of HSR is larger than the direct effect. (2) The largest spillover effect occurs in adjacent areas near 350 km apart, while the spillover effect disappears beyond 500 km. (3) The direction and magnitude of HSR effect depend on the urban scale. For large-scale cities, the impact of opening HSR is greater versus small-scale ones. |
| Keywords: | high-speed railway; spatial difference-in-differences; labor spatial |
| JEL: | C23 R15 R40 |
| Date: | 2022–08–04 |
| URL: | http://d.repec.org/n?u=RePEc:spa:wpaper:2022wpecon19&r= |