published_or_final_version / Geography and Geology / Master / Master of Philosophy

In the modern industrialized society, a long commuting time is becoming more and more common. However, commuting results in a number of different costs, for example, external costs such as congestion and pollution as well as internal costs such as individual time consumption. On the other hand, increased commuting opportunities offer welfare gains, for example via larger local labor markets. The length of the commute that is acceptable to the workers is determined by the workers' preferences and the compensation opportunities in the labor market. In this thesis the value of travel time or commuting time changes, has been empirically analyzed in four self-contained essays. First, a large set of register data on the Swedish labor market is used to analyze the commuting time changes that follow residential relocations and job relocations. The average commuting time is longer after relocation than before, regardless of the type of relocation. The commuting time change after relocation is found to differ substantially with socio-economic characteristics and these effects also depend on where the distribution of commuting time changes is evaluated. The same data set is used in the second essay to estimate the value of commuting time (VOCT). Here, VOCT is estimated as the trade-off between wage and commuting time, based on the effects wage and commuting time have on the probability of changing jobs. The estimated VOCT is found to be relatively large, in fact about 1.8 times the net wage rate. In the third essay, the VOCT is estimated on a different type of data, namely data from a stated preference survey. Spouses of two-earner households are asked to individually make trade-offs between commuting time and wage. The subjects are making choices both with regard to their own commuting time and wage only, as well as when both their own commuting time and wage and their spouse's commuting time and wage are simultaneously changed. The results show relatively high VOCT compared to other studies. Also, there is a tendency for both spouses to value the commuting time of the wife highest. Finally, the presence of hypothetical bias in a value of time experiment without scheduling constraints is tested. The results show a positive but not significant hypothetical bias. By taking preference certainty into account, positive hypothetical bias is found for the non-certain subjects.

This thesis project aims to target the increasing number of people who live, work and transit through the densely populated metropolises that, fused together, create megaregions. These individuals, an already big and ever increasing number of people, are the so-called super-commuters, members of the workforce whose commutes surpass the figures of 90 minutes or, alternatively, 145 km in a single-way.As it happens with others who live in the same geographical region, they experience the need or wish of working in the dense urban centres that offer plenty of job opportunities, but little housing opportunities. This lack of housing paired with its very high and ever increasing prices forces these people to disperse and to search for living places farther away from their workplaces, thus trading convenience and free time for long commutes. Super-commuting is indeed showing a growing trend, not only in the number of super-commuters themselves but also in the duration of commutes.Commutes are getting lengthier for a number of reasons, such as increasingly comfortable vehicles, technological advancements that help render commuting time either productive or entertaining.However, in a post-pandemic society, many companies are also offering their employees the chance to adopt hybrid work modes with more days spent working from home - which makes workers consider living farther away from their workplaces as they need to commute less (number of times). It is an undeniable fact that the longer the commute, the less free time one worker has, either for resting or doing something productive. It is also true that in an increasingly fast-paced technological world, people have also increasing difficulties in separating their professional and personal lives. Therefore, the approach of this thesis project goes through offering people the chance to make the most out of their commutes, so as to free more of their time when not commuting or working - time to spend with their loved ones or to be used to do whatever they would like. To achieve that, this project contemplates the use of autonomous technologies expected to become more widespread within the automotive industry; as by rendering vehicles autonomous would free people from driving and let them allocate their time to other tasks. This thesis project offers a holistic proposal of a premium commuting service targeted to super-commuters living and working within the Northern California megaregion. This service would connect peripheral communities directly to the Bay Area, where most companies are located, through a door-to-hub service.It focuses on how users of this service might experience their commutes by presenting case studies of three different types of professionals with diverse needs, and exploring how they would use it as a means of making their commutes as convenient and efficient as possible. The process herein exposed goes through the various stages of design development, from research to ideation and leading to a final proposal, consisting of a service, mobile booking app and exterior + interior design of a vehicle.

abstract / toc / Transport Policy and Planning / Master / Master of Arts in Transport Policy and Planning

published_or_final_version / Economics and Finance / Master / Master of Philosophy

Feng, Xiaofei. / Thesis (Ph.D.)--Chinese University of Hong Kong, 2013. / Includes bibliographical references (leaves 157-168). / Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web. / Abstracts also in Chinese.

Commuter rail is increasingly popular as a means to introduce rail transportation to metropolitan transportation systems. The long-term benefits of commuter rail include the addition of capacity to the transportation system, providing a quality commute alternative, and shifting land use toward transit-oriented development patterns. The success of a commuter rail system depends upon cultivating a ridership base upon which to expand and improve the system. Cultivating this ridership is dependent upon offering a quality transportation option to commuters. Characteristics of commuter rail systems in the United States present challenges to offering quality service that must be overcome. Commuter rail has been implemented only on existing rail right-of-way (ROW) and infrastructure (depending upon condition) in the United States. Existing rail ROW does not often coincide with current commercial and residential demand centers and necessitates the use of a circulator system to expand the service boundary of commuter rail to reach these demand centers. The commuter rail circulator network design problem (CRCNDP) addresses a particular aspect of the commuter rail trip, seeking to improve the performance of the entire system through accurately modeling the portion of the trip from rail station to the final destination. This final leg includes both the trip on the circulator vehicle and the walking trip from the circulator stop to the final destination. This dissertation seeks to provide an innovative mathematical programming formulation and solution methodology for the CRCNDP and apply this method to a case study.

published_or_final_version / Transport Policy and Planning / Master / Master of Arts in Transport Policy and Planning

No description available.

Master of Science / Department of Agricultural Economics / Jeffrey M. Peterson / State and local economic development policies are often created with the goal of stimulating local economic activity through employment growth. The success of these policies is commonly measured by the number of jobs they create. Because labor markets are not bound by county lines, commuting and migration are important factors to consider when measuring employment growth in a region. This study used county-level data from the 2000 Census to predict labor force participation, unemployment, in-commuting, and out-commuting. The model was estimated using Ordinary Least Squares regression and was simulated to predict changes in labor force, unemployment and commuting as a result of a change in employment for all 105 Kansas counties. An increase in employment was found to increase the labor force participation, in-commuting, and unemployment, while decreasing the number of out-commuters. The increase in in-commuting causes many of the economic benefits expected to accrue to the county where the job growth occurred to be essentially exported to the county where the in-commuters live. Failure to account for the proportion of new jobs filled by in-commuters would lead to significant over estimations of local impacts of employment growth. These results suggest that regional coordination of economic development policies, through the use of tools such as tax-base sharing, would provide substantial gains to otherwise competing local governments.