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Mobility has wide‐range impacts on the financial management of property issues, such as consumption and investment. In the literature of residential mobility, household life cycle is widely acknowledged as an important concept. An array of household demographic factors such as age has been repeatedly found to be significant in influencing mobility. Many previous researches offer few verifi able hypotheses or propositions and their results are conflicting. Some of them also suffer methodological inadequacies. This paper is an attempt to rectify this situation. There are two important contributions by the current research. One is a methodology that employs multivariate methods, which fills the gap of previous research. The second contribution is the large census dataset of Hong Kong which is rare in previous studies. The research is conducted under the framework of life cycle models with emphasis on economic and demographic variables of households. Demographic determinants are found to be more important in explaining population mobility among rental households while economic factors are more pertinent for owners. This may be explained by the different strategies adopted by renters and owners in satisfying their housing needs. Renters are envisaged to base their mobility decisions more on demographic factors. Owners, on the other hand, tend to view home buying as an investment as well and hence put more emphasis on economic factors. It is hoped that this research can shed more light on the topic of residential mobility by drawing on the experience of a large population residing in a small place, Hong Kong

The purpose of this study is to examine the role of digital infrastructure in supporting compliance with travel restrictions. The purpose of this study is to examine the role of digital infrastructure in supporting compliance with travel restrictions. In response to the COVID-19 pandemic, countries around the world have issued “stay-at-home” orders and curtailed a variety of economic activities. As countries have adopted aggressive policies to limit the spread of COVID-19, varying levels of national infrastructure to provide internet access have limited some nations’ ability to reduce travel requirements. As national policies struggle to address public health issues, location analytics enabled by big data provide unique insights regarding the efficacy of digital infrastructure. These insights can provide valuable tools to public health officials and regulators in understanding how health recommendations are implemented within an economy.

This study analyzes mobile phone movement data during the first half of 2020 and finds that countries that provided greater access to internet capabilities were better able to reduce work-related mobility.

This study’s findings indicate that greater levels of digital infrastructure may better prepare countries to adapt to societal disruptions such as COVID-19.

This study’s findings demonstrate that public health controls regarding movement and person-to-person interaction are less likely to be effective in nations with weaker digital infrastructure, even after accounting for variation attributable to gross domestic product (GDP) and pandemic severity. This could limit public health options in developing countries when faced with future socially disruptive events and encourage national investment in digital infrastructure.

This study’s findings highlight positive externalities associated with reducing the digital divide. Developing better digital business infrastructure globally may reduce human exposure to future pandemic risks.

This research demonstrates the practical development implications of analysis of aggregate data widely available through mobile technology. As institutions develop techniques to ethically and effectively analyze this data, greater opportunities to support economic development may be revealed.

The COVID-19 pandemic has resulted in countries reacting differently to an ongoing crisis. Latent to this reaction mechanism is the inherent cultural characteristics of each society resulting in differential responses to the epidemic spread. In this study, the moderated moderation role of culture, on information dissemination by media during epidemic recovery-phase has been investigated.

Hofstede’s cultural factors are hypothesized to moderate the moderating effect of free-liberal media on the relationship of COVID-19 recovery rate and human mobility. Panel regression model, using mobility data and recovery rate across 95 countries for a period of 170 days has been preferred to test the hypotheses. The results are further substantiated using factor wise interaction plots and slope difference analysis.

The findings suggest that societies with high power distance and masculinity scores strengthen the impact of media on the relationship between COVID-19 recovery rate and mobility whereas, high individualistic and long-term orientation societies weaken the same effect. However, similar conclusions were not confirmed for uncertainty avoidance. Cross-cultural impact, as elucidated by this study, forms a crucial element in policy formulation on epidemic control by indigenous Governing bodies.

While most of the studies emphasizing on cultural characteristics of a society in an epidemic situation covers the growth phase of infection, This research talks about the recovery-phase of the epidemic and the effect of culture.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-04-2023-0314

This chapter describes gender differences in Montevideo through the study of daily mobility. Generally, mobility studies do not account for gender differences more than in a superficial way, distinguishing basic travel patterns by sex. However, different patterns and mobility behaviours can obscure situations of deeply entrenched gender inequality that have direct consequences on the opportunities that men and women are able to reach. To disentangle these inequalities, this work addresses some mainstream mobility indicators classified by gender but also some specific indicators, with special attention to care mobility as a factor that can restrain women’s ability to move. Moreover, a tour-based analysis is performed to shed light on gendered schedules and mobility patterns. Results show that women’s mode share comprises a larger proportion of transit trips, they travel shorter distances – investing more time – and they contribute in a greater proportion than men to care mobility, especially among the lower quintiles of income. While men’s commuting patterns have a defined ‘home-based work’ profile, women have a higher level of heterogeneity in their daily itineraries. Access to private motorised means of transport is a key variable in explaining the configuration of mobility patterns, and there is a persistent gender gap in this matter. The chapter concludes that, as several authors have reported, gender is a marker in terms of mobility. It sets specific conditions for urban life in general and mobility in particular that, in turn, may be the cause of further inequality.

Examines the effects of demographic, mobility, economic, social and technology factors as independent variables upon industrialization, urbanization and modernization as dependent variables. Compares between results of the analysis of these factors related to both Cowgill’s and Kuznet’s models. Samples 22 different Arab societies. Suggests that results show a positive relationship between change rate in urban population, expenditure on education, energy consumption per capita, total exports, external debts and modernization. Shows a negative relationship between family size, illiteracy, total imports and modernization, and supports the Cowgill model.

A series of changes have taken place over the past 20 years that have transformed the face of rural Greece. At the heart of these changes have been the rural farm household and the European agricultural and rural development policies.The processes of de-agriculturalization and rural restructuring in the early 1990s have been accompanied by ‘rurbanization’ and socio-economic integration of rural populations. These interrelated processes have internally transformed the rural areas, thus forming a ‘new rurality’ characterized by contraction of agriculture, expansion of tourism and construction, increased pluriactivity, increased employment of international migrant labour and the reorganization of farm family labour and operation. However, in the environment of economic crisis, the conditions of the ‘new rurality’ have been affected by falling incomes, contraction of public services and by a ‘back to the land’ movement. This ‘reverse mobility’ has the elements of both modernity and tradition: engagement with new methods of organization and work and rediscovery of traditional crops, products and cultures.The chapter will discuss the characteristics and dynamics of the changing physiognomy of rural Greece in the past 20 years focusing upon three paths: the de-agriculturalization of the countryside, the perplexity of rural mobilities and rural resilience during the economic crisis. The chapter moves from a theoretical analysis of these paths to a detailed account of secondary sources on the transformation of agriculture and the countryside in Greece before it discusses the implications of the crisis upon the population movements and the ‘rediscovery’ of the economic, social and cultural values of rurality.

This paper aims to explore empirically the interactions between the coronavirus disease 2019 (COVID-19) pandemic, economic mobility and containment policy to test the effectiveness of mobility restrictions in controlling the spread of the disease.

This study used weekly regional data for the 17 Philippine regions and estimated the effect of shocks using a panel vector autoregression (VAR) model.

The authors conclude that COVID-19 deaths and incidence primarily respond to shocks that affect the lethality and transmissibility of the disease, and mobility restrictions and strict quarantine levels do not seem to have any impact on these outcomes. The movement of people during this pandemic period, on the other hand, seems to respond more to economic factors and government restrictions and less to the presence of and the characteristics of the disease.

Since the pandemic is a public bad, community cooperation is a must to address it. Clear government messaging that dispels doubts on the safety of the newly developed vaccines and that encourages public acceptance and trust might be a better nudge compared to a heavy-handed and threatening approach.

The purpose of this paper is to review the international migration-and-development story of the Philippines, amongst the leading migrant-origin countries.

Migration and socio-economic development data are used to depict the migration-and-development conditions of the Philippines.

The Philippines has mastered the management of overseas migration based on its bureaucracy and policies for the migrant sector. Migration also rose for decades given structural economic constraints. However, the past 10 years of macro-economic growth may have seen migration and remittances helping lift the Philippines' medium-to-long term acceleration. The new Philippine future beside the overseas exodus hinges on two trends: accelerating the economic empowerment of overseas Filipinos and their families to make them better equipped to handle the social costs of migration; and strategizing how to capture a “diasporic dividend” by pushing for more investments from overseas migrants' savings.

This paper may not cover the entirety of the Philippines' migration-and-development phenomenon.

Improving the financial capabilities of overseas Filipinos and their families will lead to their economic empowerment and to hopefully a more resilient handling of the (negative) social consequences of migration.

If overseas Filipinos and their families handle their economic resources better, they may be able to conquer the social costs of migration.

This paper employed a population-and-development (PopDev) framework to analyse the migration-and-development conditions of the Philippines.

The purpose of this paper is to present a training model for decision makers that covers the complexity which is inherent in decision-making processes in times of floods.

Through literature review, case study analysis and iterative interviews with decision-makers, the model was established. It enables one to simulate different scenarios depending on selected influencing factors and was implemented with Stella 9.1.

Flood events are highly complex and their development process is significantly influenced by various conditions. The findings show that the most important factor is the water level which determines the time available to respond. The presented System Dynamics (SD) model has the capability to capture such complex settings. Through what-if analysis and the comparison of different scenarios, learning effects are achieved by using the model.

The level of abstraction is high. Not all influencing variables can be incorporated due to the variety of flood events. Based on experts’ recommendations, the most relevant factors were included as areas of focus in the model.

The generated model is presented to facilitate holistic comprehension of the modelling process. It offers the possibility to start learning processes through scenario analyses in order to strengthen decision-makers’ understanding of complexity.

To the best of our knowledge, there are no comparable studies that focus on the generation process of building an SD-model for educational purposes in flood response.