Tom 61 (2023): Zeszyt 1 (March 2023)

A significant part of highway and street congestion is produced by work zones. Depending on the type of construction and/or rehabilitation activity, street capacity could be significantly decreased, or the street could be completely closed. The work zone generates traffic delays in the street where maintenance is performed. Additionally, the work zone generates additional traffic on the neighboring streets, since many drivers change their routes. There are numerous possible work zone schedules. The total travel time of all network users highly depends on the chosen work zones schedule. Work zones scheduling problem has a natural nested structure that requires to be modeled as a bi-level problem. We considered the bi-level work zones scheduling problem. The objective function in the upper level, which we try to minimize, represents the total travel time of all network users. Relations in the lower level, help us to compute User Equilibrium flows. The proposed solution to the problem is based on the combination of Integer Programming and a heuristic traffic assignment algorithm. The output of the developed model consists of the start time of each work zone. The Sioux Falls benchmark network is used to illustrate the proposed procedures and the achieved performances.

Policy interventions to encourage the use of healthy and sustainable modes of travel to work (such as walking and cycling) have encountered varying levels of success. In areas such as Northern Ireland, and cities such as Belfast, the car remains the dominant mode for journeys to and from work. This paper explores why this is the case by examining the individual, household, and geographical factors that govern (a) changing between one census and another to walking or cycling from other transport modes; (b) changing from walking or cycling; and continuing to walk or cycle. The analysis is undertaken using the Northern Ireland Longitudinal Study (NILS), a 28% random sample of the population. The results show that walking or cycling is associated with lower-status jobs, urban locations, with no clear association with better self-reported health. In contrast, car commuting is associated with better education, health, and higher labour market status. The analysis shows that policies to encourage the use of more sustainable and less polluting transport face formidable barriers from status perceptions, time budgets, and the geographical contexts of Northern Ireland and Belfast.

Local energy transition initiatives – as part of a broader climate-benign and sustainability policy – have become a focal point of future-oriented resource and environmental strategies. Place-based energy conversion however, has turned out to be a very complicated task, from both a governance and research perspective. The present study seeks to sketch out the contours of local sustainable energy planning, with a particular emphasis on (i) practical data and evidence-based information requirements, (ii) the involvement and engagement of citizens and stakeholders, and (iii) the great research potential provided by digital information technology. To that end, a comprehensive mind map for energy transition is depicted, inspired by first experiments in the city of Rotterdam.

Using tracking technologies to measure revealed preferences can help detect locations with potential for further expansion or with risks of tourism overgrowth and consequential externalities. Understanding consumer behavior in spatio-temporal dimensions can reveal what contextual factors influence the consumption of a destination. This paper aims to contribute to knowledge on behavior-based segmentation by disaggregating spatial behavior of tourists in an intra-destination context. Behaviors were explored focusing on cruise tourists in Visby using GPS loggers and a gridded sighting experience dataset. To identify points of interest, tourists’ indicated their liking using GPS click-loggers. The results were compared to the spatial distribution of visible amenities and through a stepwise method, behavior-based segments grounded in movements and positive emotions were derived. The paper contributes to previous research on intra-destination tourist mobility by developing a method for identifying revealed behavior, and developing segments that can be used to match tourist interests to distribution of amenities. The method aims to provide stakeholders with tools that can facilitate their strategic management and marketing of a destination.

The management of internal flows can bring significant benefits to a country in balancing the opportunities between regions or cities. To tackle unequal access to opportunities, the factors that induce internal migration should be understood. This study examines a set of pull and push factors for internal migration by spatial econometric analysis and GIS applications. We find that when the accessibility of amenities increases, the city becomes more attractive and preferable for migrants. In addition, socioeconomic factors also play a significant role in the decision-making process of migrants. In this study, we used a panel dataset that includes socioeconomic and contextual data such as distances to the amenities for each Turkish city in the years between 2012 and 2021. The results show that, in Turkey, internal migration flows from the East to the West, where opportunities are better. Finally, the human capital level of migrants can cause a variety of thoughts about factors, and it can change the order of significance of the variables for people who have a different level of human capital such as education level. Based on the findings, the paper offers several policies suggestions for ensuring a balanced migration in Turkey.

Sustainable spatial transformation, urban governance, and the constraints of urban-rural development can be traced through migration. In the Republic of Serbia, after the rapid increase in the number of people living in urban areas due to internal migration, structural changes in settlements have begun with natural decline and emigration. However, the far-reaching effects of migration on shrinkage have received little attention in policy or practice. To shed light on and predict possible future patterns, this paper looks at the attitudes and intentions of the population towards migration and identifies determinants that influence migration plans for possible future flows inside and from the Republic of Serbia. The paper is based on data from a survey and interviews conducted in the area of the City of Leskovac (N = 1124) with the population 20 + years, local authorities, civil society and the private sector, i.e. those who play a central role in addressing the challenges and optimizing the opportunities created by the growing trend of migration. The survey results show that most respondents support the emigration process, which is mainly influenced by economic factors. In this context, the trend of emigration is expected to continue in the future, and it is perceived as an obstacle to achieving sustainability goals and rarely as an opportunity.