Exploring the relationship between educational mismatch,earnings and job satisfaction in the tourism industry

This article analyses the interrelationship between educational mismatch, wages and job satisfaction in the Spanish tourism sector in the first years of the global economic crisis. It is shown that there is a much higher incidence of over-education among workers in the Spanish tourism sector than in the rest of the economy despite this sector recording lower educational levels. This study estimates two models to analyse the influence of the educational mismatch on wages and job satisfaction for workers in the tourism industry and for the Spanish economy as a whole. The first model shows that in the tourism sector, the wage penalty associated with over-education is approximately 10%. The second reveals that in the tourism sector the levels of satisfaction of over-educated workers are considerably lower than those corresponding to workers well assigned. With respect to the differences between tourism and the overall economy in both aspects, the wage penalty is substantially lower in the case of tourism industries and the effect of over-education on job satisfaction is very similar to that of the economy as a whole in a context where both wages and the private returns to education are considerably lower in the tourism sector.     

Residence,workplace and commute: Interrelated spatial choices of knowledge workers in the metropolitan region of Munich

Knowledge workers (KW), as important individual agents who embody, exchange, create and exploit knowledge, contribute to regional competitiveness and growth. To attract and retain them in a region, it is necessary to have a better understanding of their fundamental spatially-related behaviors including residence, workplace, and commute choices. In this study, we depart from a perspective of knowledge typology (analytical-synthetic-symbolic knowledge base) to investigate the heterogeneity of knowledge workers' residence, workplace, and commute choices. The case study was conducted in the metropolitan region of Munich. Various types of data are integrated: structural statistical and individually-based web-survey data; individuals' actual choices and their assessment of importance for each criterion; positional and relational data. We find that symbolic Advanced-Producer-Services (APS) workers tend to reside in central areas and use public transport or active modes to commute. In contrast, synthetic high-tech workers are found in relatively peripheral areas and depend more on cars to reach their workplaces. The spatially-related choices of analytical high-tech and synthetic-APS workers are positioned in between symbolic APS-workers and synthetic high-tech workers. We reach three conclusions: Firstly, the features of the knowledge base are evident in the spatial choices of knowledge workers. Secondly, there is a consistency of characteristics between interrelated spaces surrounding residence, workplace, as well as along the commute path of knowledge workers. Lastly, while the influence of the knowledge base has to be weighed against socio-demographic factors, different groups of knowledge workers clearly display distinct choices of residential location and commute mode. These conclusions may provide insights for urban planners and policy-makers regarding the attraction and retention of knowledge workers.     

Accessibility and the journey to work through the lens of equity

Inequality in transport provision is an area of growing concern among transport professionals, as it results in low-income individuals travelling at lower speeds while covering smaller distances. Accessibility, the ease of reaching destinations, may hold the key in correcting these inequalities through providing a means to evaluate land use and transport interventions. This article examines the relationship between accessibility and commute duration for low-income individuals compared to the higher-income, in three major Canadian metropolitan regions, Toronto, Montreal, and Vancouver using separate multilevel mixed effects statistical models for car and public transport commuters. Accessibility measures are generated for jobs and workers both at the origin (home) and the destination (place of work) to account for the impact of competing labor and firms. Our models show that the impacts of accessibility on commute duration are present and in many cases stronger for low-income individuals than for higher income groups. The results suggest that low-income individuals have more to gain (in terms of reduced commute time) from increased accessibility to low-income jobs at the origin and to workers at the destination. Similarly, they also have more to lose from increased accessibility to low-income workers at the origin and to low-income jobs at the destination, which are proxies for increased competition. Policies targeting improvements in accessibility to jobs, especially low-income ones, by car and public transport while managing the presence of competition can serve to bridge the inequality gap that exists in commuting behavior.     

铁路现行工资制度改革初探

铁路现行工资制度——岗位技能工资制,已表现出对铁路企业生产经营状况及宏观经济背景变化的诸多不适应。铁路企业内部分配制度应立足于建立以岗位为主的基本工资制度,即实行“岗效制”：生产阶层职工的工资与业务素质、工作效率挂钩;管理阶层职工的工资按职责和贡献与业务素质、岗位绩效挂钩。建立符合铁路企业实际的工资激励和约束机制。     

Measuring the inequality of accessible trams in Melbourne

In Melbourne, public policy has recently been enacted to improve access to the tram service with an emphasis upon people with a disability. Achieving that objective requires two elements. One is a low-floor tram and two is an elevated tram stop platform that facilitates boarding the tram. Currently the fleet of trams in Melbourne is made up of high-floor and low-floor designs, thus accessible services are unevenly distributed. In addition, construction of new tram stop platforms has been uneven. This suggests a form of inequality in accessible tram services for the disabled.Several studies of transport services have addressed this issue using the Gini coefficient and Lorenz curve calculations as seen in studies of disadvantaged groups such as the elderly. This research utilizes those approaches to estimate the current access of the disabled population to trams services in Melbourne. The approach compares the geography of the total and accessible tram services with the geography of the total and disabled population using the Gini coefficient and Lorenz curve.The results show that there is inequality in the accessible trams amongst people with a disability in Melbourne (Gini = 0.66) as 70% of the disabled population has access to only 22% of the accessible tram supply. In comparison, considering the total tram supply and the entire population, (Gini = 0.48) 70% of the population shares 40% of the tram supply. Hence, at this stage the provision of accessible tram services for people with a disability falls well below that of the general population. These results provide an insight into the current tram service inequality and can be used as a reference for future tram system investment. Further, the approach could be used to increase awareness of this matter and encourage an inclusive and sustainable public transport planning and development in both local and global contexts.     

Impacts of two-scale urban form and their combined effects on commute modes in U.S. metropolitan areas

This study explores the relationship between urban form at the metropolitan and neighborhood scales and the percentages of four individual modes to commute. It then looks at the combined effects of urban forms at the metropolitan scale in metropolitan areas in the continental United States using multi-level regression models with interactive terms between urban forms. This study contains the percentages for four commute modes: percentage of the vehicle (VT), public transit (PT), biking (BI), and walking (WK). As urban form factors, this study contains urban fragments, population density, job-resident balance (JRB), the percentage of green areas at the metropolitan scale, and distance to the nearest job center at the neighborhood scale. The results show that at the neighborhood scale, a farther distance from individual neighborhoods to the nearest job center is associated with higher VT, and lower PT, BI, and WK. At the metropolitan scale, urban form factors have a more significant association with the percentage of individual modes to commute in large MSAs compared with small MSAs in terms of population. Most urban form factors at the metropolitan scale are not independently associated with the use of commute modes, but their interactions are associated with the percentage of individual modes to commute. Particularly, the level of urban fragments and the percentage of green areas may transform the impact of high population density and JRB on the percentage of the individual modes to commute except for WK. This study provides planners and policymakers with important guidelines to establish combined urban form plans rather than single urban form oriented plans to reduce vehicle travel.     

Expanding the positive utility of travel through weeklong tracking: Within-person and multi-environment variability of ideal travel time

Travel has been found to have a positive utility—often measured as a desire for non-zero travel time. Although past studies have found that desired travel time varies by trip attributes, they often focused on a single trip purpose (e.g., commute) or single time point (e.g., peak period of one day) and rarely captured variation within individuals and across multiple travel environments. To address these limitations, we employed a smartphone-based travel behavior survey of 186 users making 4397 trips in the Washington, DC, and Blacksburg, VA metropolitan areas. For each user, multiple trips were recorded and the user was asked to repeatedly report on the ideal travel time for each trip. We found that desired travel time varied across different trip environmental characteristics and purposes. Ideal travel time was longer for active travel trips, leisure trips, weekend trips, and when the user conducted activities during trips (e.g., talking, using the phone, looking at the landscape) and traveled with companions. Our study suggests the need for more realistic estimation of the value of travel time savings and the need for quantifying the effect of multitasking during travel on people's willingness to reduce travel time. Practitioners should also consider providing better urban infrastructure for pedestrians and bicyclists to fulfill their trips, as their ideal travel times closely match actual travel times.     

Suburbanization and transit-oriented development in China

The suburbanization of large Chinese cities has placed many residents in locations that are far less accessible than their prior residences, requiring motorized travel. This paper examines the impacts of relocation to outlying areas on job accessibility, commuting mode choice, and commuting durations based on a current-day and retrospective survey of recent movers to three suburban neighborhoods in Shanghai. Job accessibility levels were found to decline dramatically following the move, matched by increased motorized travel and longer commute durations. Relocating to a suburban area near a metrorail station, however, was found to moderate losses in job accessibility and for many, encourage switches from non-motorized to transit commuting. We conclude that transit-oriented development holds considerable promise for placing rapidly suburbanizing Chinese cities on a more sustainable pathway.     

Exploring residential relocation behavior for families with workers and students; a study from Beijing,China

The effects of residential relocation on changes in travel behaviors have been studied worldwide; however, little is known about factors that influence relocation behavior in households with workers and students. This study explores the relationship between residential relocation behavior and its factors, such as the built environment, the housing price, the work commute distance, the school commute distance, and households' sociodemographic attributes, by building a structural equation model using the data collected in the Fifth Travel Survey of Beijing Inhabitants. The results show that the built environment and sociodemographic attributes have direct effects on residential relocation behavior and the housing price, work commute distance, and school commute distance have indirect effects on it. Besides, trade-offs between the housing price and the built environment and between the housing price and the home-work and home-school commute distances are found. Based on the results, a number of suggestions for the balanced development of public transportation and city land-use plans are proposed.     

Modeling the effects of wage premiums on airline competition under asymmetric economies of density: A case study from Brazil

This paper investigates the effects of wage premiums on the competition between Full Service Carriers (FSC) and Low Fare Carriers (LFC) in the airline industry. We study the impact of changes in the labor market and the resulting effects on performance in the product market and examine the role of economies of density. We develop an oligopoly model of airline competition with endogenous wages and simulate increases in labor costs. We apply the model to the case of the most important domestic route of Brazil using airline/route-specific demand and costs data. Our chief contribution relies on the empirical model of asymmetric economies of density for the competing business models. We estimate that LFCs have higher economies of density than FSCs. With the empirical models of demand, costs and wages, we compute the wage-elasticities of price-cost markups. We find that, on account of the higher sensitivity of marginal costs to labor costs of the FSCs, their markups are more affected by wage premium increases than the markups of the LFCs. The results are attenuated by higher economies of density, but amplified by higher price-elasticities of demand and lower economic growth.     

Does the built environment make a difference? Additional evidence from the daily activity and travel behavior of homemakers living in New York City and suburbs

Homemakers, unlike employed people who have jobs and unemployed people who are seeking jobs, are a special group who do not have to spend time working out of the home, commuting to work, or looking for a job. Given that a regular job typically takes 9 h (This includes an assumed half-hour one-way commute time.) a day, the discretion to allocate their time is presumably much greater than other groups.In this paper, we focus our attention on homemakers’ activity and travel behavior in neighborhoods with different characteristics (e.g., very dense areas, dense areas, and suburbs). The question to be answered is quite simple: are there differences between travel behaviors of homemakers living in different types of neighborhoods? If yes, can these differences be attributed to differences in the built environment?The dataset used in the study is the Household Interview Survey (HIS) collected in 1997/1998 in the New York metropolitan area. We found significant differences in activity and travel related behavior by homemakers living in different types of neighborhoods. Compared to suburban homemakers, New York City homemakers spend more time on discretionary activities and less time on maintenance activities; use public transportation and walk more frequently; and conduct fewer trip chains. The study found that both individuals’ socio-economic characteristics and built environment appear to play a role in explaining behavior. A probably more important factor in explaining people’s time use behavior is the interrelationship between activities and trips, and between different types of activities.     

Accessibility and attitudinal barriers encountered by Chinese travellers with physical disabilities

The China travel industry is growing rapidly and is expected to grow even more in the next 15 years. Another segment of the population that is increasing is individuals with physical disabilities. China has enacted several laws to enhance the quality of life for individuals with disabilities and to make travel more accessible. Although individuals with physical disabilities travel less than those without disabilities, the potential market is expanding. If travellers with physical disabilities encounter few barriers during their travels, they may travel even more in the future. This study examined four tourism industry sectors in China in terms of the accessibility and attitudinal barriers that participants with physical disabilities encountered. The four sectors were transportation, accommodations, eating–drinking establishments and attractions. Furthermore, comparisons were conducted on the participants' functioning level, income and types of mobility assistive devices they used. Results suggested that participants' functioning level was an appropriate indicator of the amount of barriers they encountered while travelling. Conversely, the amount of barriers encountered by the participants was not predicated by their income or the type of devices they used. Copyright © 2007 John Wiley & Sons, Ltd.     

Informality and accessibility to jobs by public transit: Evidence from the São Paulo Metropolitan Region

Access to opportunities through public transport can have different impacts on individual's life especially in developing countries where opportunities are limited, job informality rates are high, and socioeconomic characteristics gaps are big. The aim of this paper is to explore the relationship between job informality and accessibility to employment by public transport in São Paulo Metropolitan Region (SPMR), Brazil. To do so, we calculate a cumulative-opportunity measure of accessibility to jobs for 633 areas within the SPMR. We use a multilevel mixed-effects logistic regression model to estimate the effect of job accessibility on the likelihood of being informally employed, controlling for individual and other area characteristics. To account for informal sector heterogeneity, two regression models are generated: one for the workers earning below minimum wage and one for the workers earning above minimum wage. The results show that accessibility to jobs is unevenly distributed across the region, largely concentrated in the core of the region, and especially in the high-income areas. The regression results show that for workers earning less than the minimum wage, a higher level of accessibility to jobs by public transport is associated with a lower likelihood of being a worker in the informal job sector. For informal workers earning more than the minimum wage, car ownership seem to be more relevant than transit accessibility in determining the likelihood of being part of the informal job sector. In light of these findings, increasing accessibility by public transport through either expanding transit services to areas with high informality rates to have a better access to formal jobs or supporting the decentralization of formal jobs may be a way to achieve reductions in informality rates, especially among those earning less than the minimum wage.     

Examining the impacts of the Great Recession on the commuting dynamics and jobs-housing balance of public and private sector workers

Research examining commuting-related phenomena remains a key area of geographical research. And although substantial research has attempted to explore the relationships between transportation and land use, little is known about how the impacts of major economic changes such as the Great Recession would affect related commuting dynamics. In addition, commuting studies examining the plight of workers in private versus the public sectors are also virtually non-existent, though the two-groups' commuting dynamics would potentially be affected very differently by the Great Recession. This study contributes to a better understanding of commuting and jobs-housing balance during the Great Recession. We employ metrics from the excess commuting and jobs-housing balance literature in an effort to examine the commuting dynamics of private and public sector workers, with a focus on the time period around the Great Recession. Our analysis is conducted for the Atlanta, GA Metropolitan area. Findings of the study are that private workers experienced better jobs-housing balance over the study period, but they commute longer and more inefficiently when compared with public workers. While the Great Recession worsened both groups' commuting situation, the effect was more significant for public workers in terms of increasing their travel burdens. Since the public sector response to the Great Recession was delayed, policy implications suggest monitoring employment trends during and after economic shocks and recognizing the transportation disadvantages public sector workers may face in future crises. Keywords: excess commuting, jobs-housing balance, the Great Recession, private and public employment, spatial optimization.     

Heterogeneous effects of neighborhood type on commute mode choice: An exploration of residential dissonance in the Twin Cities

Many studies have measured residential and travel preferences to address residential self-selection and they often focused on the average or independent effect of the built environment on travel behavior. However, individuals' behavioral responses to built environment interventions may vary by their different tastes. Using the 2011 data from the Minneapolis–St. Paul metropolitan area, this study examines the influences of neighborhood type, travel attitudes, and their interaction terms on commute mode choice. The interactions between neighborhood type and travel attitudes have no significant impact on driving commute frequency whereas the effects of neighborhood type on the propensity for transit commute differ by transit preference. Specifically, urban consonants (including those in LRT neighborhoods) have the highest propensity for transit commute, followed by suburban dissonants, urban dissonants, and then suburban consonants. Therefore, individuals' heterogeneous responses to built environment elements should be taken into account in future research and in the design of land use and transportation policies aiming to shape urban travel.     

Decomposing excess commuting: a Monte Carlo simulation approach

Excess or wasteful commuting is measured as the proportion of actual commute that is over minimum (optimal) commute when assuming that people could freely swap their homes and jobs in a city. Studies usually rely on survey data to define actual commute, and measure the optimal commute at an aggregate zonal level by Linear Programming (LP). Travel time from a survey could include reporting errors and respondents might not be representative of the areas they reside; and the derived optimal commute at an aggregate areal level is also subject to the zonal effect. Both may bias the estimate of excess commuting. Based on the 2006–2010 Census for Transportation Planning Package (CTPP) data in Baton Rouge, Louisiana, this research uses a Monte Carlo approach to simulate individual resident workers and individual jobs within census tracts, estimate commute distance and time from journey-to-work trips, and define the optimal commute based on simulated individual locations. Findings indicate that both reporting errors and the use of aggregate zonal data contribute to miscalculation of excess commuting.     

Shopmobility at the millennium: `Enabling' access in town centres

Shopmobility provides a vital link in the community transport chain. It has been designed to secure for mobility-impaired people equality of access to shopping facilities and `barrier-free' movement within town centres. This agenda is important in the UK given the growing incidence of age-related disability, the spread of pedestrianisation to smaller shopping centres, and publicised development of wayfinding technologies to help disabled people navigate in unfamiliar surroundings. The recent millennium audit of Shopmobility schemes furnishes a national data-base highlighting the demand for services, operating practices in contrasting built-environments, stockholding of equipment, financial management and planning intentions. This report overviews the key findings of that audit within the context of a government commitment to an `inclusionary' and integrated transport policy. It concludes that an adequate and secure stream of financial support is essential for the sustained development of Shopmobility in local contexts, and recommends that Local Transport Plans should ensure that Shopmobility schemes are effectively linked to community and public transport services, and accessible car parking provision for disabled motorists.     

Commute mode diversity and public health: A multivariate analysis of 148 US cities

Urban sprawl has a negative relationship with regional health outcomes, such as high obesity and chronic diseases related to physical inactivity. At the same time, literature has shown that walkable built environments are connected to lower obesity rates and increased physical activity. Less understood is the association of modal diversity with those health outcomes. This research studies a range of public health outcomes to determine their associations with commute mode diversity. Researchers adapted the methodology of urban sociologists Harvey Molotch and Richard Appelbaum to explore twelve different health measures in 148 US counties and their metropolitan statistical areas. The test measure is the percentage of commuters who use some means other than a single-occupant vehicle (SOV). The percentage of such commuters ranges from as low as 11% in Houston County, Alabama to as high as 36% in Honolulu County, Hawaii. Using bivariate and multivariate analyses, we found better health outcomes in counties and metropolitan areas that have fewer workers commuting by SOV. These findings underscore the positive impact of sustainable transportation policies on community health and open up a new direction for public health research and the built environment.