Appropriate Housing Typologies, Effective Land Management and the Question of Density in Muscat, Oman

The Sultanate of Oman has been undergoing massive changes in the last 50 years. The Gulf State transformed from a very traditional and isolated country into a wealthy and modern state. After Sultan Said was enthroned in 1970, the young Sultan Qaboos, who passed away in 2020, began to modernise Oman’s economy and society. Today, widespread, single-family houses are the prevailing residential building type, with an urban sprawl characterised by mono-functional zoning and a dependency on motorized individual transport with long commuting distances. All these conditions have been strongly supported by governmental planning policies. Since this urban sprawl causes unsustainable land consumption, this study addresses options for urban development and housing typologies aiming at a compact city with a higher density. However, the term density has to reflect local cultural and climatic conditions and, in time of the pandemic as special focus of this issue, has to be critically discussed and reviewed. Thus, this study identifies, as a base line study in Muscat Capital Area, Omani residents’ housing needs by an online questionnaire survey focusing on housing layouts, features and locational preferences, exploring alternatives to the current situation. Findings are that housing needs do not necessarily demand a single-family building but can be achieved better by different housing layouts, at the same time supporting social distances measures via outdoor options during the pandemic.

Assessing Commuting Energy and Emissions Savings through Remote Working and Carpooling: Lessons from an Italian Region

Effective solutions are needed to decrease the greenhouse gases emissions of the transport sector, not only in terms of supply-side measures, but also including demand-side solutions. This paper focuses on the passenger demand related to daily commuting, either for work or study purposes. A bottom-up analysis is presented, which draws from detailed data for Lombardy, the most populous region in Northern Italy, to build an estimate of the annual energy consumption and emissions related to commuting. The potential of different measures to decrease emissions is evaluated, including the renovation of the vehicle stock, higher levels of remote working, and the deployment of carpooling schemes. The results show that the largest part of the current emissions from commuting is caused by car use, both due to its higher modal share and to the higher specific emissions, which are in turn also contributed by the low occupancy rates. The renewal of the current vehicle stock can lead to significant emission savings, thanks to both improved efficiency and higher shares of electrification. Remote working could also play a significant part, especially when it is applied to workers that face the longest commuting distances. Conversely, carpooling seems to be providing lower benefits, not so much because of lower effectiveness but more so because of constraints and barriers to its implementation.

Residential location choice and its effects on travel satisfaction in a context of short-term transnational relocation

Temporary opportunities for studying and working abroad have been growing globally and intensifying the movement of highly skilled temporary populations. To attract this group, cities need to address their residential and mobility needs. This study focuses on factors influencing residential and travel satisfaction of transnational temporary residents, highlighting the occurrence of residential self-selection, its impacts on residential and travel choices and on derived levels of satisfaction. We have estimated a Bayesian Structural Equations Model and found that lower levels of residential satisfaction (residential dissonance) are associated with lower rents, living farther away from the place of study or work, and having higher transport expenditures. In contrast, higher levels of residential satisfaction (residential consonance) are related to individuals’ stronger preferences for active modes, lower levels of public transport use, and reduced transport monthly expenditures, which suggest shorter commuting distances. These findings reveal the tradeoffs involving residential location, monthly rent, and transport expenditures, highlighting that providing good public transport connections can reduce the burden of commuting distances. Our results indicate that better transport supply and land-use balance near the residence can improve both residential and travel satisfaction.

A Novel Open-Source Simulator Of Electric Vehicles in a Demand-Side Management Scenario

Recently, due to the growth of the electric vehicle (EV) market, the investigation of grid-to-vehicle and vehicle-to-grid strategies has become a priority in both the electric mobility and distribution grid research areas. However, there is still a lack of large-scale data sets to test and deploy energy management strategies. In this paper, a fully customizable EV population simulator is presented as an attempt to fill this gap. The proposed tool is designed as a web simulator as well as a Matlab/Simulink block, in order to facilitate its integration in different projects and applications. It provides individual and aggregated charge, discharge and plugin/out event data for a population of EVs, considering both home and public charging stations. The population is generated on the basis of statistical data (which can be fully customized) including commuting distances, vehicle models, traffic and social behavior of the owners. A peak-shaving case study is finally proposed to show the potential of the simulator.

Using Design Thinking to Explore Rural Experiential Education Barriers and Opportunities

Introduction: Design thinking is a creative problem-solving framework that can be used to better understand challenges and generate solutions in health professions education, such as the barriers to rural education. Rural education experiences can benefit students, providers, and patients; however, placement in and maintenance of rural education experiences offer unique challenges. Design thinking offers strategies to explore and address these challenges. Methods: This study used a design thinking framework to identify barriers of student placement in rural locations; this was accomplished using strategies to empathize with users (eg, students, practitioners, and administrators) and define the problem. Data were collected from focus groups, interviews, and a design thinking workshop. Design activities promoted participant discussion by drawing pictures, discussing findings, and creating empathy maps of student experiences. Qualitative data were analyzed to identify salient barriers to rural experience selection and opportunities for support. Result: Focus group (n = 6), interview (n = 13), and workshop participants (n = 18) identified substantial advantages (eg, exposure to a wider variety of patients, less bureaucracy and constraints, more time with faculty) and disadvantages (eg, isolation, lack of housing, and commuting distances) of rural experiences. Participants identified physical, emotional, and social isolation as a significant barrier to student interest in and engagement in rural experiences. Workshop participants were able to generate over 100 ideas to address the most prominent theme of isolation. Discussion: Design thinking strategies can be used to explore health professions education challenges, such as placement in rural settings. Through engagement with students, practitioners, and administrators it was identified that physical, social, and emotional isolation presents a significant barrier to student placement in rural experiences. This perspective can inform support systems for students, preceptors, and communities that participate in rural educational experiences.

Commuting and the Motherhood Wage Gap: Evidence from Germany

In the present study, we analyze how childbirth-related changes in commuting contribute to the motherhood wage gap, which in turn accounts for a large part of the gender pay gap. Derived from human capital theory and job search theory, we examine various mechanisms that might explain why reduced commuting distances after childbirth come along with wage reductions for mothers. The empirical analyses are based on data from the German Socio-Economic Panel (GSOEP) 2001–2017, which are analyzed within a fixed effects (FE) panel framework (n = 41,111 observations from 7183 persons). Firstly, the results show that the transition to first parenthood is associated with a 33% decrease in the commuting distance of women, while the transition to fatherhood has no effect. Secondly, mothers who substantially reduce their commuting distance after the transition to parenthood (who amount to 30% of all mothers in our sample) show an increased wage penalty (−18.4%), compared to mothers who do not reduce their commuting distance (−8.7%). Accordingly, 23% of the motherhood wage penalty can be attributed to wage losses related to the reduction in commuting distance. Thirdly, wage penalties for mothers who change to a job closer to their place of residence can be partly explained by the loss of firm-specific human capital. In addition, the wage penalty for commuting is a consequence of women taking jobs that are less suited to their skills profile and moving to smaller companies.

Supply side fantasies and precarious part-time academic labor

Reliance upon part-time instructors within U. S. post-secondary institutions has received a great deal of attention, particularly as the percentage of such faculty has become the largest single category of faculty in academia. Understanding how part-time markets operate may allow better policy. Most current studies on the subject examine national markets, and emphasize demand factors motivating expansion of the part-time workforce. Although the subject of supply was once critical to discussions it has received less attention of late in part due to a faulty understanding of how part-time markets operate. Cross sectional regression analysis is performed to explore potential correlations between the number of graduating masters and doctoral students and reliance upon part-time faculty at neighboring institutions of higher education. Where previous researchers have found that institutions in more urbanized settings exhibit greater reliance upon part-time faculty, this analysis indicates that local availability of recently minted masters and PhD degrees within commuting distances of the hiring institution more closely fits staffing data. Policy actors may be able to use these results to better coordinate regional or local demand to supply, which has implications for unions and other policy actors attempting to limit reliance upon part-time faculty.

Analysis of Commuting Distances of Low-Income Workers in Memphis Metropolitan Area, TN

The paper tests whether low-income workers suffer a greater commuting cost burden compared with a typical commuter within the context of decreasing economic opportunity. The paper adds to the spatial mismatch research by studying the metropolitan area in the U.S. South, which experienced “some of the largest decreases” in job proximity in 2012. Memphis, Tennessee, saw the disproportionately steep declines in the average employment opportunities within a typical commute distance experienced by low-income and minority residents. The paper first delineates low-income neighborhoods across the study area, then identifies commuting patterns within the three-state study area including the greater Memphis, and lastly, it compares average commute lengths by a typical and a low-income commuter, as well as the shares of resident workers with a long commute by earning category. The paper offers insight into the ways in which the changes in spatial location of employment and population within the metropolitan area may impact commuting distance for disadvantaged low-income travelers. We show low-income workers commute statistically significantly shorter distances to their places of work compared with a typical commuter. Our other results find that disadvantaged workers in Shelby County, TN, are disproportionately concentrated in lower-wage industries, such as hospitality and retail service industries, compared to overall workers. Finally, a significantly greater proportion of disadvantaged workers travel long distances of over 50 miles compared with higher-earning workers, indicating the disparity in commuting patterns between a typical resident and a low-income worker.