A Time Geography Approach to Understanding the Impact of Gasoline Price Changes on Traffic Safety.

The impact of gasoline price changes on traffic safety has received increasing attention in empirical studies. However, this important relationship has not been explained within a conceptual or theoretical framework. In this study, we examine this relationship within a time geography framework in an attempt to understand the effect of time-varying fluctuations in gasoline prices and their relationship to traffic safety in a case study of Mississippi from April 2004 to December 2008. We further extend this work by examining the degree to which this relationship is differential in impact by age, gender, and race. The results suggest that changes in gasoline prices have immediate effects on reducing total traffic crashes and crashes of younger drivers, women, and whites. However, changes in gasoline prices do not affect total crashes of older drivers, men, or blacks. Within the theoretical framework of time geography, we understand gasoline prices as one type of capability constraint of the space-time path and space- time prism. As gasoline prices increase (that is, as the capability constraint becomes stronger), traffic crash rates will decrease. However, the effects vary by age, gender, and race because the capability constraint of gasoline prices differs across demographic groups.gasoline prices, traffic incidents, traffic safety, age, gender

Gasoline Price Effects on Traffic Safety in Urban and Rural Areas: Evidence from Minnesota, 1998-2007.

A large literature base has found that economic factors have important effects on traffic crashes. A small but growing branch of literature also examines the role that gasoline prices play in the occurrence of traffic crashes. However, no studies have investigated the possible difference of these effects between urban and rural areas. In this study, we used the monthly traffic crash data from 1998–2007 at the county level in Minnesota to investigate the possibly different effects gasoline prices may have on traffic crashes in urban versus rural areas. The results indicate significant difference of gasoline price effects on total crashes in urban versus rural areas. Gasoline prices also significantly affect the frequency of injury crashes in both urban and rural areas; however, the difference is not significant. Gasoline prices have no significant effects on the frequency of fatal crashes in urban and rural areas. Traffic volume plays a bigger role on the incidence of injury and fatal crashes. The results concerning the differences between urban and rural areas have important policy implications for traffic safety planners and decision makers.gasoline prices, traffic incidents, traffic safety, age, gender

Assessing the validity of SafeGraph data for visitor monitoring in Yellowstone National Park

Monitoring visitor demographics and temporal visitation patterns will help park managers allocate resources, develop infrastructure, and predict the demands of visitors. Previous studies have only validated temporal visitation patterns with big data and traditional survey data, while research on validation national park visitor demographics using mobile data is scant. This study compares SafeGraph data (a type of mobile Location-based Service data) and survey/count data, assessing visitor demographics and temporal visitation patterns in Yellowstone National Park. The comparison between two data sources suggests that SafeGraph data can serve as an additional and complementary source of information to traditional visitor use study/count data. However, biases of SafeGraph data, such as data at an aggregation level and data only in the United States, resulting in differences compared to traditional survey/count data. This study contributes to understanding visitors in national parks by validating a new data source

Gasoline Prices and Their Relationship to Drunk-Driving Crashes

his study investigates the relationship between changing gasoline prices and drunk-driving crashes. Specifically, we examine the effects of gasoline prices on drunk-driving crashes in Mississippi by age, gender, and race from 2004Ð2008, a period experiencing great fluctuation in gasoline prices. An exploratory visualization by graphs shows that higher gasoline prices are generally associated with fewer drunk-driving crashes. Higher gasoline prices depress drunk- driving crashes among younger and older drivers, among male and female drivers, and among white, black, and Hispanic drivers. The statistical results suggest that higher gasoline prices lead to lower drunk-driving crashes for female and black drivers. However, alcohol consumption is a better predictor of drunk-driving crashes, especially for male, white, and older drivers.Drunk-driving crashes, gasoline prices, alcohol consumption, Mississippi

Addressing Climate Impacts in Alaska Native Tribes: Legal Barriers for Community Relocation due to Thawing Permafrost and Coastal Erosion

Rural communities is Alaska—predominantly Alaska Native Tribes—are at the forefront of climate change impacts and climate justice concerns in the United States. According to the 2019 Alaska statewide threat assessment report, 29 communities are currently experiencing significant climate change-related erosion. Further, 38 communities faces significant flooding, and 35 have major problems with thawing permafrost. Some Alaska Native communities have explored community relocation to adapt to these impacts. Because federal law does not recognize gradual environmental impacts like thawing permafrost and coastal erosion as disasters, these communities are ineligible for disaster funding and struggling with how to adapt to the very urgent—albeit less immediate—issues that they face. This article analyzes the chalenges of Alaska Native Tribes attempting to access federal assistance for community relocation. While some posit that the federal trust responsibility for Tribal Nations might help leverage federal help with community relocation, the status of Alaska Native Claims Settlement Act (ANCSA) extinguished almost all claims of aboriginal title and reservations in Alaska. General access to federal disaster funding and programs may be another avenue for assistance; however, the limited definition of disaster and overly burdensome requirements for federal programs mean that many Alaska Native communities are left to struggle on their own. In response to these challenges, this article explores possible solutions to help these communities with their relocation efforts. It examines the newly adopted Building Resilient Communities and Infrastructure Program as a potential funding opportunity for community relocation efforts, along with programs focused on climate justice. Finally, the article concludes by proposing the expansion of a state role in helping coordinate federal grant programs on behalf of Alaska Native Tribes and the funding of resilience officers by the federal government at regional Alaska Native organizations to navigate requirements for community relocation grant programs

Understanding Demographics and Experience of Tourists in Yellowstone National Park through Social Media

This study compared tourists’ demographic variables between survey data and Twitter data in Yellowstone National Park and explored tourists’ experience through Twitter data. First, there were significant differences in age groups of tourists between social media data and survey data. Compared to survey data, tourists who identified by Twitter data concentrated on middle age groups. Secondly, the spatial distribution of geotagged tweets reflected the road network and main attractions in Yellowstone National Park. The peak visitation season is from June to September in survey data, while, in social media data, the peak visitation season is slightly shorter. Finally, the sentiment analysis was conducted and only 6.7% of tweets were negative, indicating that most tourists in Yellowstone National Park had good experience. Therefore, analyzing Twitter data will be helpful for understanding tourists’ demographics, attitudes and experience in the national parks and improving customer service in the further

Remittances and land change: A systematic review

Remittances—funds sent by migrants to family and friends back home—are an important source of global monetary flows, and they have implications for the maintenance and transformation of land systems. A number of published reviews have synthesized work on a variety of aspects of remittances (e.g., rural livelihoods, disasters, and economic development). To our knowledge, there are no reviews of work investigating the linkages between remittances and land change, broadly understood. This knowledge gap is important to address because researchers have recognized that remittances flows are a mechanism that helps to explain how migration can affect land change. Thus, understanding the specific roles remittances play in land system changes should help to clarify the multiple processes associated with migration and their independent and interactive effects. To address the state of knowledge about the connection between remittances and land systems, this paper conducts a systematic review. Our review of 51 journal articles finds that the linkages uncovered were commonly subtle and/or indirect. Very few studies looked at the direct connections between receipt of remittances and quantitative changes in land. Most commonly, the relationship between remittances and land change was found to occur through pathways from labor migration to household income to agricultural development and productivity. We find four non-exclusive pathways through which households spend remittances with consequent changes to land systems: (1) agricultural crops and livestock, (2) agricultural labor and technologies, (3) land purchases, and (4) non-agricultural purchases and consumables. In the papers reviewed, these expenditures are linked to various land system change outcomes, including land use change, soil degradation, pasture degradation, afforestation/deforestation/degradation, agricultural intensification/extensification/diversification, and no impact. These findings suggest four avenues for future research. One avenue is the use of the theoretical lens of telecoupling to understand how remittances may produce wider-scale changes in land systems. A second avenue is further examination of the impacts of shocks and disturbances to remittance flows on land change both in migrant sending and in remittance receiving areas. A third avenue is scholarship that examines the extent that household uses of remittances have a “ripple effect” on land uses in nearby interlinked systems. A fourth avenue for future work is the use of spatially explicit modeling that leverages land cover and land use data based on imagery and other geospatial information

Can Knowledge Improve Population Forecasts at Subcounty Levels?

Recent developments in urban and regional planning require more accurate population forecasts at subcounty levels, as well as a consideration of interactions among population growth, traffic flow, land use, and environmental impacts. However, the extrapolation methods, currently the most often used demographic forecasting techniques for subcounty areas, cannot meet the demand. This study tests a knowledge-based regression approach, which has been successfully used for forecasts at the national level, for subcounty population forecasting. In particular, this study applies four regression models that incorporate demographic characteristics, socioeconomic conditions, transportation accessibility, natural amenities, and land development to examine the population change since 1970 and to prepare the 1990-based forecast of year 2000 population at the minor civil division level in Wisconsin. The findings indicate that this approach does not outperform the extrapolation projections. Although the regression methods produce more precise projections, the least biased projections are often generated by one of the extrapolation techniques. The performance of the knowledge-based regression methods is discounted at subcounty levels by temporal instability and the scale effect. The regression coefficients exhibit a statistically significant level of temporal instability across the estimation and projection periods and tend to change more rapidly at finer geographic scales

Farmland Rental: The Impacts of Household Demographics and Livelihood Strategies in China

In recent decades, there has been a rising global trend of farmland rental. Previous studies have explored the impacts of individual and household sociodemographics on farmland rental, but a holistic understanding of farmland rental in association with households’ demographics and livelihood strategies has not been achieved. Using data from the China Family Panel Studies 2012–2016, we investigated the association of farmland rental with household demographics and livelihood strategies in rural China. The results suggest that farmers in rural China tend to keep a balance between landholding and household needs, a finding that not only supports the labor–consumer balance theory, but also extends its application to a capitalized and increasingly mobile society. Larger and/or married-couple households were less likely to rent out their farmland, and the household decision-maker’s education level was positively associated with the probability of renting out farmland. The household decision-maker’s age was negatively associated with farmland rental up to age 34, after which it has a positive effect, demonstrating a non-linear, U-shaped relationship. Livelihood strategies, including non-farm employment and migration, were positively associated with farmland rental, whereas agricultural income showed a negative effect. This study extends the understanding of factors influencing farmland rental in areas where increasing migration could reshape farmland disposal, a common scenario in contemporary China and many developing countries