An official website of the United States government
Geodesign is a participatory planning approach in which stakeholders use geographic information systems to develop and vet alternative design scenarios in a collaborative and iterative process. This study is based on a 2019 geodesign workshop in which 17 participants from industry, government, university, and non-profit sectors worked together to design an initial network of hydrogen refueling stations in the Hartford, Connecticut, metropolitan area. The workshop involved identifying relevant location factors, rapid prototyping of station network designs, and developing consensus on a final design. The geodesign platform, which was designed specifically for facility location problems, enables breakout groups to add or delete stations with a simple point-and-click operation, view and overlay different map layers, compute performance metrics, and compare their designs to those of other groups. By using these sources of information and their own expert local knowledge, participants recommended six locations for hydrogen refueling stations over two distinct phases of station installation. We quantitatively and qualitatively compared workshop recommendations to solutions of three optimal station location models that have been used to recommend station locations, which minimize travel times from stations to population and traffic or maximize trips that can be refueled on origin–destination routes. In a post-workshop survey, participants rated the workshop highly for facilitating mutual understanding and information sharing among stakeholders. To our knowledge, this workshop represents the first application of geodesign for hydrogen refueling station infrastructure planning.
more »
« less
Hydrogen Refueling Station Consideration and Driver Experience in California
The recent growth in the California hydrogen fuel cell vehicle (FCV) market offers the opportunity to analyze how refueling stations that drivers use after some experience compare with those they initially intended to use. Online surveys completed by 124 FCV adopters in California in early 2019 were analyzed. Respondents listed stations they initially planned to use, stations that they later used, subjective reasons for using them, and important travel destinations. Network GIS analysis was then used to measure estimated travel times between both available and planned retail hydrogen stations and home, work, and frequently traveled routes, both at the time of adoption and at the time of the survey. Results show that 40% of respondents changed refueling stations over time. Those with stations objectively nearer to home, work, and frequently traveled routes were less likely to change their list. Drivers were more likely to subjectively label stations as near home and less likely to label them as on the way compared with objective measurements of these criteria, though these differences are greater for respondents who changed stations. Regardless of whether the station was available pre-adoption or opened post-adoption, stations that respondents added to their lists were farther from home than those they initially intended to use. For stations available pre-adoption, reliability positively influenced adding them after experience, while stations added by drivers that opened post-adoption tended to require short deviations to reach. These results indicate that a mixture of geographic and station-level characteristics contribute to FCV drivers changing stations over time.
more »
« less
- Award ID(s):
- 1660514
- PAR ID:
- 10230157
- Date Published:
- Journal Name:
- Transportation Research Record: Journal of the Transportation Research Board
- Volume:
- 2675
- Issue:
- 1
- ISSN:
- 0361-1981
- Page Range / eLocation ID:
- 280 to 293
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Urban heat exposure is an increasing health risk among urban dwellers. Many cities are considering accommodating active mobility, especially walking and biking, to reduce greenhouse gas emissions. However, promoting active mobility without proper planning and transportation infrastructure to combat extreme heat exposure may cause more heat-related morbidity and mortality, particularly in future with projected climate change. This study estimated the effectiveness of active trip heat exposure mitigation under built environment and travel behavior change. Simulations of the Phoenix metro region's 624,987 active trips were conducted using the activity-based travel model (ABM), mean radiant temperature (T MRT , net human radiation exposure), transportation network, and local climate zones. Two scenarios were designed to reduce traveler exposure: one that focuses on built environment change (making neighborhoods cooler) and the other on travel behavior (switching from shorter travel time but higher exposure routes to longer travel time but cooler routes) change. Travelers experienced T MRT heat exposure ranging from 29°C to 76°C (84°F to 168°F) without environmental or behavioral change. Active trip T MRT exposures were reduced by an average of 1.2–3.7°C when the built environment was changed from a hotter to cooler design. Behavioral changes cooled up to 10 times more trips than changes in built environment changes. The marginal benefit of cooling decreased as the number of cooled corridors transformed increased. When the most traveled 10 km of corridors were cooled, the marginal benefit affected over 1,000 trips/km. However, cooling all corridors results in marginal benefits as low as 1 trip/km. The results reveal that heavily traveled corridors should be prioritized with limited resources, and the best cooling results come from environment and travel behavior change together. The results show how to surgically invest in travel behavior and built environment change to most effectively protect active travelers.more » « less
-
Abstract The climate crisis and associated push for distributed, renewable electricity generation necessitate policy changes to decarbonize and modernize the electricity grid. Some of these changes—e.g., smart meter rollouts and tax credits for solar panel adoption—have received attention in the media and from social scientists to understand public perceptions and responses. Others—e.g., allowing peer‐to‐peer electricity sales, promoting residential electrification, requiring solar panels on new development, funding microgrids, and paying customers to allow for utility control of electricity use—have received less attention. Here, we explore public perceptions of these understudied policies among California residents (n = 804), a state recognized for innovative energy policy. A majority of respondents supported only one of the policies—requiring solar panels on new development. Others elicited more indecision; few were strongly opposed. In general, male respondents and those with college degrees were more supportive of such policies, as were those more concerned about climate change and with a more open orientation to smart home technologies.more » « less
-
Due to long-standing barriers to healthcare access in rural areas, telehealth has been promoted as an effective means of delivering healthcare services. However, there is a general absence of quantitative data showing how geographic residence and race affect telehealth adoption. This study examines variations in telehealth adoption based on race and geographic residence in Southern Illinois using a mail survey. It finds that residents of urban Carbondale, compared to those in rural Cairo, have better access to broadband and are more likely to use telehealth. Respondents significantly differ from each other based on their geographic location of residence and race when it came to using telehealth to save money on travel and to save money on childcare. A significant barrier to telehealth adoption identified across all groups is privacy protection concern. The findings highlight the crucial role of broadband infrastructure in healthcare access and the need for trust in telehealth systems to ensure data privacy.more » « less
-
In 2018, the International Maritime Organization adopted a plan to reduce greenhouse gas emissions from ships. As a result, ocean carriers and cruise lines are exploring alternative fuels, such as ammonia, which offers zero CO2emissions. Understanding ammonia-based fuel’s impact on range, speed, and fuel logistics can help companies assess its benefits and limitations. To address this, a mixed-integer non-linear programming model is developed to determine the optimal ships’ routes with the objective of minimizing the total travel time while considering factors such as ship speeds, refueling time, and the non-linear fuel consumption rates. A unique aspect of this study is the consideration of a group of ships with different origins and destinations. To solve the non-linear and NP-hard model, a hybrid genetic algorithm–particle swarm optimization algorithm is developed. The proposed model and meta-heuristics are demonstrated using an actual network consisting of ports around the world. Numerical results from a full factorial design with three factors (number of ships, number of origins, and number of destinations) comparing the travel time differences between using ammonia and conventional fuel indicate that NH3-fueled ships generally experience longer travel times than jet-propulsion fuel 8-fueled ships because of NH3’s lower energy density and more frequent refueling requirements. On average, the increase in total travel time is less than 20%. This study serves as a foundation for decision-makers who must also consider additional factors such as economic feasibility, infrastructure costs, environmental impact, and regulatory requirements when assessing ammonia’s viability as an alternative fuel for fleet-wide adoption.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1177/0361198120956999
