This research has aimed to study commuting distances for people working in Åre village. By analyzing individual statistical data over geographical sites this paper seeks to investigate any changes over time for different groups of the workforce. In addition to presenting raw data of distance calculations, maps constructed in geographical information systems will indicate spatial variations and general patterns. The results show that commuting distances to Åre village have increased between the years of 1990 and 2002, while they have decreased between the years 2002 and 2014. The workers who commute the longest distances are young, have relatively low incomes, lower education and no children living in their homes. The opposite applies for shorter commuting distances where older workers, with relatively high incomes, high education levels and who have children living in their homes. However, when working with statistical data it ́s important to acknowledge the limitations that arise by using numbers to describe reality. Nevertheless, these results indicate that sparsely populated places with growing economies stand out by having declining commuting distances while the general trend for the nation is the opposite with increasing distances. This information can therefore be of use for similar areas to indicate estimated commuting patterns in the future.

The geographical distance between home and workplace is present and increases within modern society. Along with changing economic structures and technological developments it has increased the spatial division of labour and changed the pressure on global, regional and local markets. Regional development strategies today emphasize on more mobile, flexible and larger geographical labour markets to improve matchmaking between jobs and labour force to reach and obtain development. Commuting has therefore increased and is often promoted as a positive solution for involved individuals and the regional society at large. Although, the notion and benefits of such regional development strategies have been questioned as commuting involves a consideration between economic and social circumstances and effects on all involved household members. The social and economic effects on commuting households in Umeå enlarged local labour market region have therefore been studied in and investigated in this thesis. Empirical data has been collected through qualitative interviews with four commuting households with different home-work locations and commuting situations. Results of this study goes in line with previous studies and pictures how commuting is a strategy to obtain or maintain desired living conditions within desired location when the local labour opportunities are limited. Commuting households therefore gain “quality of life” and labour opportunities. But, the economic benefits are reduced by transport costs and reduction of labour hours, and the social consequences of reduced time in the home environment effects relations between family members and the division of household responsibilities’. This study have also broaden the understanding of commuting effects and showed that shorter commuting distance also hold social and economic implications for commuting households.

The increasing length of the daily commute is a major issue for many commuters in the Greater Toronto and Hamilton Area (GTHA). In order to alleviate this problem through policy, the policy makers require more in-depth understanding of this issue. This study explores different travel behaviour, socioeconomic and labour market determinants of commuting distance for resident workers in the GTHA, especially those having normal commutes and those having extreme commutes. This study also explores which areas of the GTHA are most self-contained, and what are the average commuting distances of each sub-region of the GTHA. The primary data source for this study was Transportation Tomorrow Survey (TTS) for the year 2011. Supplementary data were obtained from InfoCanada and Statistics Canada. Descriptive analysis in this study, focused at the Census Sub-Division (CSD), examined self-containment, outbound commutes, inbound commutes, resident employees and jobs densities, and average commute distances for place of residence and place of work. Study results showed that Toronto and Hamilton CSDs are the most self-contained areas in the GTHA, whereas areas located in the north and northwest of Toronto are major sources of outgoing commutes. Toronto and its adjacent CSDs have the lowest average commuting distance, whereas residents of Georgina and Brock commute exceptionally long distances. Multivariate regression analyses were applied to a disaggregate dataset (TTS). Workers older than 15 years of age living in the GTHA were divided into two major categories based on the length of their commute: (i) normal commuters (those having a mean commuting distance of 10.8 km) and (ii) extreme commuters (those having a mean commuting distance of 40.9 km). Factors affecting commuting distance for these two groups were examined. Similarly, residents living and working in the GTHA were divided into two categories: Resident workers living in (i) Jobs-rich areas or (ii) Resident-rich areas. Factors affecting commuting distance of these resident workers were also examined. The key controlling factors of commuting distance include gender, age, mode of transportation, employment status, ratio of jobs to employed residents, age of youngest child, auto availability in household, multi-worker household, median income, jobs and population density, and distance from CBD. Significant socioeconomic, travel behaviour and land use determinants for normal commute distances were also applicable to extreme commute distance. Transit was the preferred mode of transportation for long distance commuters in the GTHA, except for those living in job-rich areas. Workers associated with Sales and Service occupation and living in jobs-rich areas exhibited shorter commute than those in General/Clerical occupation. These findings are important to understand the changing travel patterns and behaviours of commuters in the GTHA. These results will be of interest to transportation planners, engineers, and policy makers as it highlights the inclination of long distance commuters to use transit. / Thesis / Master of Science (MSc)