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on Transport Economics |
| By: | Mohiuddin, Hossain; Fukushige, Tatsuya; Fitch-Polse, Dillon |
| Abstract: | Micromobility options such as electric bike-share and scooter-share services are a fundamental part of the existing shared mobility landscape. Research has shown that micromobility use can reduce car dependence. This is accomplished through trip-level mode replacement and adjustments in mode-use configurations in daily travel. Understanding the full potential of micromobility services as a car replacement can help cities better plan for the services to meet environmental sustainability goals. Researchers at the University of California, Davis collected GPS-based travel diary data from individual micromobility users from 48 cities in the US and examined their travel behavior and micromobility use patterns. They found thatmicromobility services can displace car use. Toachieve environmental sustainability goals, cities must pursue options that will deliver benefits, such as micromobility services. This policy brief summarizes the findings from that research and provides policy implications. View the NCST Project Webpage |
| Keywords: | Social and Behavioral Sciences, Bicycles, micromobility, modal split, scooters, travel surveys, vehicle miles of travel, vehicle sharing |
| Date: | 2025–02–01 |
| URL: | https://d.repec.org/n?u=RePEc:cdl:itsdav:qt91w588s7 |
| By: | Hardman, Scott; Chakraborty, Amrita; Hoogland, Kelly; Sugihara, Claire; Helveston, John Paul; Jensen, Anders Fjendbo; Jenn, Alan; Jochem, Patrick; Plötz, Patrick; Sprei, Frances; Williams, Brett; Axsen, Jonn; Figenbaum, Erik; Pontes, Jose; Tal, Gil; Refa, Nazir |
| Abstract: | Most net-zero emissions targets require electrification of the entire light-duty vehicle fleet, and before that the electrification of all new vehicle sales. In this paper, we review literature on demand-side issues related to achieving 100% zero-emissions vehicle sales, focusing on plug-in electric vehicles (PEVs). We discuss potential demand-side challenges to increasing PEV sales and related research gaps, including consumer factors (perceptions, knowledge, and consumer characterises), demand-focused policy (incentives), infrastructure, and energy prices. While global PEV sales have substantially increased in recent years, several challenges remain: some demographic groups are currently underrepresented among PEV buyers (e.g. renters, lower income buyers), some car drivers are resistant to PEVs, incentives are influential but have predominantly benefited higher-income new-car buyers and are being phased out, infrastructure is not sufficiently developed or equally distributed, infrastructure is not user friendly, and some households lack charging access. Some issues we identify may be related to the early stage of the PEV market, though will need to be addressed to reach higher PEV sales and PEV fleet shares. Finally, we outline areas where more research is needed to understand and guide the PEV transition. |
| Keywords: | Engineering |
| Date: | 2025–01–09 |
| URL: | https://d.repec.org/n?u=RePEc:cdl:itsdav:qt0xr0c0sq |
| By: | Ho, Phoebe; Zmud, Johanna PhD; Walker, Joan PhD |
| Abstract: | Our study examined geographic and temporal patterns in service adjustments and evaluated their job accessibility impacts for three major San Francisco Bay Area transit agencies between 2020 and 2023: the Alameda-Contra Costa Transit District (AC Transit), the San Francisco Bay Area Rapid Transit District (BART), and the San Francisco Municipal Transportation Agency (MUNI). This retrospective analysis can help transit agencies develop equitable service strategies in the event of future disruptions. |
| Keywords: | Engineering |
| Date: | 2025–01–01 |
| URL: | https://d.repec.org/n?u=RePEc:cdl:itsrrp:qt0dj471j8 |
| By: | Dangel, Alexander; Goeschl, Timo |
| Abstract: | This paper studies temporal factors influencing the effectiveness of don't drive appeals (DDAs) which policy-makers use to encourage motorists to voluntarily reduce driving during transitory high pollution episodes. We derive and empirically validate a theoretical framework for DDAs where the desired behavioral response is sensitive to the number of consecutive DDA days and recovery time between episodes. Our analysis of daily traffic ows from automatic traffic counters in Stuttgart, Germany shows that DDAs at best reduce overall car trip demand during pollution events by less than 1% on average, but treatment effects vary. Difference-in-difference event study estimates reveal that DDAs: i) lead to approximately 3% traffic reductions on the first three days of DDAs and taper off in effectiveness during longer episodes, ii) regain effectiveness at the tail end of DDA episodes once local authorities announce when they will be lifted, and iii) only reduce city center traffic following lengthy recovery periods between events. Our findings provide evidence that temporal factors like social norms and intertemporal substitution dynamically affect voluntary short-term pollution mitigation programs. They also confirm prior North American evidence on DDA traffic displacement and limited overall impact in a European setting. |
| Keywords: | pollution mitigation; information-based regulation; voluntary policies; air quality alerts; policy timing; prosocial behavior; transportation choice |
| Date: | 2025–01–29 |
| URL: | https://d.repec.org/n?u=RePEc:awi:wpaper:0760 |
| By: | Panle Jia Barwick; Hyuk-Soo Kwon; Shanjun Li; Nahim B. Zahur |
| Abstract: | Electric vehicle (EV) battery costs have declined by more than 90% over the past decade. This study investigates the role of learning-by-doing (LBD) in driving this reduction and its interaction with two major government policies – consumer EV subsidies and local content requirements. Leveraging rich data on EV models and battery suppliers, we develop and estimate a structural model of the global EV industry that incorporates heterogeneous consumer choices and strategic pricing behaviors of EV producers and battery suppliers. The model allows us to recover battery costs for each EV model and quantify the extent of LBD in battery production. The learning rate is estimated to be 7.5% during our sample period after controlling for industry technological progress, economies of scale, input costs, and EV assembly experience. LBD magnifies the effectiveness of consumer EV subsidies and drives cross-country spillovers from these subsidies. Upstream battery suppliers capture only a minor share of LBD’s economic benefits, and consumer EV subsidies correct for the under-provision of learning and improve social welfare. China’s local content requirement helps domestic suppliers gain a competitive advantage at the cost of consumers and foreign suppliers but would have harmed domestic welfare if delayed by five years. |
| JEL: | F13 L0 L52 L62 Q48 |
| Date: | 2025–01 |
| URL: | https://d.repec.org/n?u=RePEc:nbr:nberwo:33378 |
| By: | Iogansen, Xiatian; Lee, Yongsung; Circella, Giovanni; Malik, Jai |
| Abstract: | Beginning in 2020, many in-person activities were replaced by virtual activities as a response to the COVID-19 pandemic. This affected fundamental elements of transportation systems such as trip frequency, commute distance, origins, and destinations. For example, remote work and study werewidely adopted among workers and students. Still, the ways that the pandemic affected individuals’ work arrangements across different phases of the pandemic and the extent to which full remote work and hybrid work induced by the pandemic might persist in the future are unclear. In addition, recent studies are not conclusive regarding the ways changes in work arrangements do/will impact travelpatterns and trip making. |
| Keywords: | Engineering |
| Date: | 2025–01–01 |
| URL: | https://d.repec.org/n?u=RePEc:cdl:itsdav:qt8400819h |
| By: | Tommaso Pardi (IDHES - Institutions et Dynamiques Historiques de l'Économie et de la Société - UP1 - Université Paris 1 Panthéon-Sorbonne - UP8 - Université Paris 8 Vincennes-Saint-Denis - UPN - Université Paris Nanterre - UEVE - Université d'Évry-Val-d'Essonne - CNRS - Centre National de la Recherche Scientifique - ENS Paris Saclay - Ecole Normale Supérieure Paris-Saclay, MSH Paris-Saclay - Maison des Sciences de l'Homme - Paris Saclay - UVSQ - Université de Versailles Saint-Quentin-en-Yvelines - Université Paris-Saclay - CNRS - Centre National de la Recherche Scientifique - ENS Paris Saclay - Ecole Normale Supérieure Paris-Saclay, ENS Paris Saclay - Ecole Normale Supérieure Paris-Saclay); Marc Alochet (X - École polytechnique - IP Paris - Institut Polytechnique de Paris); Bernard Jullien (UB - Université de Bordeaux); Samuel Klebaner (CEPN - Centre d'Economie de l'Université Paris Nord - CNRS - Centre National de la Recherche Scientifique - Université Sorbonne Paris Nord) |
| Abstract: | From executive summary (page 6): Why do we need a small, affordable, sustainable electric vehicle (ASEV)? Why do we not have an ASEV in Europe? What can we learn from countries (Japan, China) where such AS(E)V exist? How can we promote a European made ASEV ? 1) Create a sub-M1 category (M1 ASEV) and create a new-M0 category (M0 ASEV) 2) Adjust the CO2 regulation for ASEV and more efficient decarbonisation 3) Introduction of a dedicated financial framework to support production take-off 4) Introduction of a European Eco score for cars: 5) Promotion of a European ASEV toolkit for Member States, regions and cities What would be the impact of ASEV on decarbonisation, just transition and European industry competitiveness? |
| Date: | 2024–10 |
| URL: | https://d.repec.org/n?u=RePEc:hal:journl:hal-04878220 |
| By: | Enerstvedt, Vegard (Dept. of Business and Management Science, Norwegian School of Economics) |
| Abstract: | Weather is an ever-present factor influencing shipping operations at every stage, including port operations. This paper examines the determi nants of weather-induced delays in port operations, the probability and duration of such delays, the predictive capability of various statistical models, and the potential for improving upon standard industry methods for estimating port margins. A wide range of models are investigated, including Generalized Linear (GLM) models, Cox Propotional Hazard models, and Autoregressive Conditional Duration (ACD) models. The findings reveal that a GLM with gamma distributed dependent variables provides the best fit for data on delay duration, while a linear multiple regression offers the highest predictive accuracy for delay duration. Similarly, probit and logit models are found to perform comparably well for both predicting delay probabilities and data fit. Moreover, the analysis demonstrates that there are significant potential cost savings when using a linear regression model with a probit model to predict delays compared to a common industry rule-of-thumb of half a day delay. These results underscore the potential for improving operational efficiency and accuracy in port margin estimation through statistical modeling techniques. |
| Keywords: | Weather; Shipping; Risk; Delay; Ports; ACD; GLM |
| JEL: | C40 C41 C53 R40 R41 |
| Date: | 2025–02–04 |
| URL: | https://d.repec.org/n?u=RePEc:hhs:nhhfms:2025_004 |
| By: | NAKAISHI Tomoaki; YOO Sunbin; KUMAGAI Junya; MANAGI Shunsuke |
| Abstract: | The adoption of residential solar photovoltaic (PV) systems is widely regarded as a critical measure to mitigate global warming by reducing carbon emissions and supporting a shift toward renewable energy. However, the broader impact of residential solar PV on household consumption behaviors remains underexplored. This study investigates the effects of residential solar PV adoption on household electricity consumption, with a focus on the mediating roles of pro-environmental behaviors and technology adoption. Using structural equation modeling (SEM) and data from Japanese households, we examine electricity costs post-adoption as a proxy for usage and emissions, highlighting seasonal variations across winter, summer, and spring. Our findings reveal that residential solar PV adoption is associated with increased electricity costs in winter (13.899%) and spring (2.429%), but a decrease in summer (6.322%). This pattern is partly driven by a greater use of energy-efficient products and electric vehicles (EVs) beyond levels that would have been previously been necessary, actually increasing costs, as households perceive solar energy as a low-cost resource. These insights suggest that while solar PV reduces fossil fuel reliance, it may inadvertently lead to higher energy use. To maximize the environmental benefits of solar energy, policies that promote energy conservation, incentivize battery storage, and curb excessive use of energy-efficient products are recommended. |
| Date: | 2025–02 |
| URL: | https://d.repec.org/n?u=RePEc:eti:dpaper:25011 |