Mobile Perspective Research Articles

Analyzing disruptions in post-pandemic population return patterns: A network perspective on Chinese cities

The COVID-19 pandemic has fundamentally reshaped global socio-economic structures, precipitating a profound transformation in people's lifestyles. An in-depth analysis of the disruptions in post-pandemic population returns patterns and the evolving driving factors can facilitate socio-economic recovery, development, and macro-control. This paper employs social network analysis to examine the spatial patterns and evolving urban locational attributes of the Population Mobility Network (PMN) during post-holiday returns in major Chinese cities amid the pandemic, assessing the impact of varying proximities on the PMN. The results indicate that: (1) During the pandemic, the geographic patterns of population mobility in China underwent significant fluctuations, with distinct regional and temporal variations, while intercity connections increasingly shifted toward shorter trips. (2) From 2019 to 2022, major Chinese cities experienced notable changes in status and connectivity, evolving into a multi-centric structure within the national population mobility network. (3) Community clusters predominantly adhere to provincial demarcations, maintaining stable structures within major urban agglomerations despite intense intra-regional competition, with clear distinctions in community stability between northern and southern regions. (4) Beyond traditional socio-economic factors, the level of digital finance has emerged as a new driver of population mobility, with the varied attributes of inter-city relationships also significantly influencing the PMN. Studying spatial patterns and urban location from the perspective of population mobility can inform post-pandemic optimization of national resource allocation and urban recovery strategies.

Transhumance in Southern Italy (Fifteenth-Sixteenth Centuries): The Mobility Perspective

This paper is an overview of sheep transhumance in southern Italy from the Aragonese reform of the 1440s to the eve of a second wave of reforms in the 1540s and 1550s. The analysis focuses on the concept of mobility, which proves to be a significant indicator of increasing interdependence between the factors involved in this complex economic activity (agriculturists, pastoralists, the state, the merchants, the market and local communities), leading to change in settlement patters, production arrangements, merchant networks, social identities, economic and political thought. The role of the state institution of the sheep custom house in coordinating the seasonal movement of sheep, graziers, officials and merchants, and in negotiating the multiple, overlapping claims of landlords, towns, the state itself and pastoralists on the same lands was pivotal in the long-term survival of this economic sector.

Advancing human mobility modeling: a novel path flow approach to mining traffic congestion dynamics

Mining traffic congestion dynamics presents difficulties in data structure and spatiotemporal analysis. Existing studies mainly provide insights from a supply perspective, with a restricted examination of why congestion occurs and how travel demands affect congestion. This study introduces an innovative framework to mine congestion dynamics from the perspective of human mobility. In human mobility modeling, we refine the conventional origin-destination representation of activity flow by introducing "path flow" (PF) which considers space-time paths and movement patterns. In congestion scenarios, congestion-related path flow (CPF) and congested path sub-flow (CPSF) are extended to track individuals’ congestion exposure and explore the correlations between congestion and human mobility. To finely classify congestion-related travel demands, a Bayesian inference approach, incorporating destination and spatiotemporal heterogeneities, is developed to deduce trip purposes. The experiments conducted in Wuhan demonstrate the availability and importance of PF in spatiotemporal dynamics analysis of human mobility. Interestingly, we find that 1) the job-housing relationship is imbalanced, with massive residents opting for cross-district living and working; 2) individuals tend to visit tertiary hospitals on weekends and secondary medical facilities with less congestion on weekdays. Notably, path flow can promote the fine-grained modeling of human mobility and provide theoretical support for many urban issues.

Urban Internal Network Structure and Resilience Characteristics from the Perspective of Population Mobility: A Case Study of Nanjing, China

In the face of diverse chronic pressures and increased factor mobility, the resilience of urban internal network structures has become a cutting-edge research topic. This study utilizes 2019 mobile signaling big data to construct employment and recreational flow networks among 101 townships and streets within Nanjing City. Based on the characteristics of these network structures, the resilience of the network structure is measured from the perspectives of density, symmetry, and transmissibility through interruption simulation techniques. The results show that the intensity of population mobility within Nanjing presents a general decay from the central urban area to the outer layers. In the employment scenario, cross-river population mobility is more frequent, while in the recreational scenario, the natural barrier effect of the Yangtze River is prominent. Due to the concentration of employment centers and high spatial heterogeneity, the employment flow network exhibits greater vulnerability to sudden shocks. Townships and streets with weighted degree values ranking around 60 and 80 are of great importance for maintaining the normal operation of both employment and recreational flow networks. Strengthening the construction of resilient parks and village planning within resilient cities can enhance the risk resistance of employment and recreational flow networks.

Disentangling genetic and social pathways of the intergenerational transmission of cognitive ability – A nuclear twin family study

As cognitive ability accounts for large parts of the intergenerational transmission of advantage, it is crucial to understand the mechanisms driving the intergenerational transmission of cognitive ability itself. Social mobility research usually focuses on social mechanisms of intergenerational transmission. For the case of cognitive ability, this means that parental cognitive ability affects offspring ability via the family environment. However, parents do not only provide resources, but also pass their genes to their children. As social and genetic transmission are not mutually exclusive, it is crucial to disentangle the contribution of both to the intergenerational transmission of cognitive ability. Using data from the German TwinLife survey, we apply a nuclear twin family design to address this question. Using data from all four twin birth cohorts, covering an age range of 5–25 years, we further explore whether the contribution of both mechanisms varies over the life course. For all four cohorts, in any of the estimated models, social transmission is very small and not significant. Genetic transmission, in turn, seems to be the primary mechanisms of intergenerational transmission of cognitive ability and becomes increasingly important with age. Our findings challenge conventional social mobility perspectives, stressing the need to incorporate genetic transmission into sociological research for a more comprehensive understanding of intergenerational transmission of advantage.

Cultural Routes Through the Perspective of Sustainable Mobility: A Critical Literature Review

ABSTRACTSustainable mobility strategies in the locale could facilitate cultural routes' social, economic, cultural, and environmental mandates. The purpose of this article is to explore the beneficial practices of sustainable mobility on cultural routes through a systematic literature review. The ultimate objective is to summon the sustainable mobility strategies implemented on cultural routes that could positively affect the economic, social, environmental, and cultural environments of a destination. A systematic literature review was initiated through the protocol of the Preferred Reporting Items for Systematic Reviews and Meta‐Analyses methodology. The meta‐synthesis approach resulted in identifying five sustainable mobility policy recommendations suitable for cultural route development. Slow mobility practices, drive tourism, mobility infrastructures along cultural routes, accessibility into cultural routes, and urban mobility are fundamental for the creation of an efficient sustainable mobility plan to support cultural routes and achieve a sustainable tourism future for regions.

Heliport Emergency Medical Services (HEMS) in Unstable Geopolitical Region; Palestine – Mobility Perspective

Heliport Emergency Medical Services (HEMS) in Unstable Geopolitical Region; Palestine – Mobility Perspective

Should I Stay, or Should I Go Now? Neighborhood, Family, and Youth Predictors of Intracity Mobility.

The effects of residential mobility on youth development outcomes related to violence and victimization have traditionally been understood from an outward mobility perspective. Less attention has been paid to predictors of intracity moves, a more common mobility practice. Research, however, should identify factors associated with intracity mobility before scholars can explore and fully understand the impacts of moving within the city on youth development outcomes such as violence and victimization and whether they are akin to those identified for moves beyond city limits. Using data from the Project on Human Development in Chicago Neighborhoods, we apply a multilevel ecological framework to assess neighborhood, family, and youth factors associated with intracity mobility. We employed hierarchical generalized linear modeling to examine within and between-neighborhood models of intracity mobility among youth and their families who moved within Chicago (N = 426) and those who did not (N = 867). Our investigation highlights as important factors family dynamics instability and aggression and violence at the neighborhood level. Findings show that parental divorce/separation, harsh disciplinary practices, negative school experiences such as racial/ethnic conflict, gangs, or heightened security measures, and exposure to violence predict intracity mobility. Critically, negative school experiences proved to be a robust determinant of moving as cross-level interactions suggest neighborhood crime significantly shapes how these experiences inform intracity mobility. This study emphasizes the importance of examining mobility beyond urban city limits, noting distinct predictors of intracity mobility across systemic levels. The findings fill a gap in our understanding of neighborhood turnover and stability, while also providing a foundation for exploring within and between-neighborhood differences in intracity mobility.

DYNAMICS AND PROSPECTS OF DEVELOPMENT IN THE FIELD OF HIGHER EDUCATION SERVICES

The development of the higher education system in the Republic of Uzbekistan, as well as the growth of higher education services in the volume of gross services and gross domestic product, its dynamics are analyzed and forecasts are developed on its basic, inertial and mobilization perspectives.

Internet use, income mobility and the expansion of the rural middle-income group: Evidence from China

The expansion of the rural middle-income group has been a global focus as it contributes to narrowing income gaps and reducing social inequality. Using data from the China Family Panel Studies (CFPS), this study examines the impact of Internet use on the mobility of rural low-income groups to the middle-income group from the perspective of income mobility. Controlling for household and provincial-level variables, the results of this study indicate that Internet use significantly promotes the mobility of rural low-income groups to the middle-income group, thereby facilitating the expansion of the rural middle-income group. These conclusions hold even after conducting endogeneity and robustness tests. Mechanism analysis shows that household entrepreneurship and non-agricultural employment are crucial pathways through which Internet use facilitates the mobility of rural low-income groups to middle-income groups. Further investigation shows that mobility from rural low-income to middle-income groups is more difficult in central-western regions and among those with lower levels of education. Internet use exacerbates the “digital divide” between different areas and education groups. In particular, the effect of Internet use in promoting mobility from rural low-income to middle-income groups is more pronounced in the eastern regions and among those with higher levels of education. The results of this study provide new evidence on the role of Internet use in expanding the rural middle-income group.

Identification of the Spatial Structure of Urban Polycentres Based on the Dual Perspective of Population Distribution and Population Mobility

Identification of the Spatial Structure of Urban Polycentres Based on the Dual Perspective of Population Distribution and Population Mobility

Research on urbanization of middle and south Hebei from the perspective of high mobility

With collaborative development of Beijing-Tianjin-Hebei region, we work on studying the history, culture, industrial system of the middle and south areas of Hebei, and sorted out the characteristics of their urbanization development. It has showed that there are so many wonderful rural enterprises with the prosperous rural economy, but being lower level of urbanization developing in above areas. Most of farmers have to work in both towns and farms at different time. As result, it caused serious environmental problems for lack of the proper mode of urbanization. The farmers from these poor areas will face more challenges for surviving and improving their lives. It is supposed that the future development of urbanization will promote reasonable population and rural industries gathering from large cities to towns. At the same time, the clean energy and renewable resources should be further developed and used to avoid the continuous global environmental pollution and climatic deterioration. What the government and industrial planning departments need to do will be to build the platform of information industry for villages and towns, to promote resources to be integrated effectively and the industry upgrading fully. Therefore, the problems about development of urbanization will be solved gradually.

Revealing multi-scale spatial synergy of mega-city region from a human mobility perspective

ABSTRACT Spatial synergy is strengthened integration and connection between cities in a mega-city region, transcending administrative boundaries. The central flow theory suggests that the mega-city regions are formed by the interconnected flows of people across cities, making the spatial synergy can be measured by assessing the aggregation and intensity of flows and interactions between cities and regions. Human mobility data, such as mobile phone data and social media check-ins, enable the tracking of human movements, thus facilitating the transition of central flow theory from theoretical constructs to empirical research. To this end, this study presents an alternative data-driven framework to reveal the multi-scale spatial synergy of mega-city regions from a human mobility perspective. It uncovers homogeneously spatial communities with high inter-city integration using community detection. Strong internal spatial connections of 2.13 billion mobility are filtered using network backbone extraction. An experiment in the Pearl River Delta (PRD), China, demonstrates a multi-scale and multi-core hierarchical spatial synergy in the PRD region. The detailed findings are as follows: (1) Three cities attract the majority of human mobility. Mobility distance is short in urban centers and long in suburban areas. (2) The spatial integration pattern shows the detected communities reveal the hierarchical integration pattern with three main integrated regions: Guangzhou-Foshan-Zhaoqing, Shenzhen-Dongguan-Huizhou, and Zhuhai-Zhongshan-Jiangmen. (3) The spatial connection pattern illustrates the close ties of 9 cities and three core cities, including Guangzhou, Shenzhen, and Foshan. These results provide a human-centric understanding of urban synergy and deeper insights into central flow theory, which supports cooperative development in mega-city regions.

Integrated modeling of urban mobility, flood inundation, and sewer hydrodynamics processes to support resilience assessment of urban drainage systems.

With the increasing frequency of extreme weather events and a deepening understanding of disasters, resilience has received widespread attention in urban drainage systems. The studies on the resilience assessment of urban drainage systems are mostly indirect assessments that did not simulate human behavior affected by rainfall or semi-quantitative assessments that did not build simulation models, but few research characterizes the processes between people and infrastructure to assess resilience directly. Our study developed a dynamic model that integrates urban mobility, flood inundation, and sewer hydrodynamics processes. The model can simulate the impact of rainfall on people's mobility behavior and the full process including runoff generation, runoff entering pipes, node overflow, flood migration, urban mobility, and residential water usage. Then, we assessed the resilience of the urban drainage system under rainfall events from the perspectives of property loss and urban mobility. The study found that the average percentage increase in commuting time under different return periods of rainfall ranged from 6.4 to 203.9%. Calculating the annual expectation of property loss and traffic obstruction, the study found that the annual expectation loss in urban mobility is 9.1% of the annual expectation of property loss if the rainfall is near the morning commuting peak.

Accessibility and heritage: A measure of connectivity of the historic walled center of Cartagena de Indias

This research aims to analyze the conditions of geographical accessibility to the historic walled center of Cartagena de Indias, Colombia, through the application of geostatistical models based on the use of GIS digital tools, taking as a basis the available transport infrastructure, the location of the tourist arrival points (Land Transport Terminal, Airport) and being complemented, with socio-demographic coverage analysis. The main result is that accessibility to the historic center of Cartagena is limited for a large part of the population, considering that the location of the historic center is on the western side and the urban expansion of the city is towards the eastern side due to its limited coastal condition. On the other hand, the main conclusion is that the accessibility assessment makes it possible to make decisions on interventions for preserving heritage, thus generating a more significant impact from the perspective of mobility and social inclusion.

The impact of smart city construction on labour distortions from the perspective of labour mobility: evidence from China

ABSTRACT Migration decisions and labour demand are influenced by smart city construction (SCC). However, the impacts of SCC on the labour market remain black-boxed. This paper investigates the impacts of SCC on labour market distortions through an examination of a large-scale smart city pilot policy in China. Utilising urban panel data in China spanning 2008-2019, we employ a multi-period difference-in-difference model to examine the labour factor allocation effects of SCC. Our findings reveal that SCC effectively mitigates labour wage distortion (LWD) but has an adverse effect on labour misallocation (LMA). labour mobility is a critical mechanism through which SCC alleviates labour wage distortion (LWD) but exacerbates labour misallocation (LMA). Furthermore, the results of heterogeneity analysis indicate that strongly connected and high human capital cities not only benefit from SCC in alleviating LWD but also avoid its negative effects on LMA. Conversely, SCC neither improves LWD nor alleviates LMA in weakly connected and low human capital cities. These findings imply that urban smart construction causes multiple impacts on the labour factor market, which is conducive to factor market guidance policies that can coordinate with SCC.

A Taxonomy and Survey on Grid-Based Routing Protocols Designed for Wireless Sensor Networks

Minimization of energy consumption is the main attention of researchers while developing a routing protocol for wireless sensor networks, as sensor nodes are equipped with limited power supply. Virtual topology is an integral part of routing, and grid-based routing protocols are quite popular due to their simplified and efficient virtual grid topology construction. Although a list of surveys exists that either focus on routing protocols in a broader way or on other virtual topologies, none of these surveys are concerned about grid topology and grid-based routing protocols. Having this motivation in mind and considering the impact of these routing protocols on controlling and managing the energy consumption of wireless sensor networks, this article provides an expansive assessment of grid-based routing protocols based on their methodology. In this survey, the existing grid-based routing protocols are classified into two categories from the perspective of sink mobility: static sink and mobile sink. A phase-wise comprehensive overview of these routing protocols is provided in chronological order, along with their comparative analysis. Furthermore, the characteristics, design issues, and challenges of grid-based routing protocols are also provided.

Sustainable mobility perspectives: exploring the impact of UTAUT2 model on fostering electric vehicle adoption in India

PurposeThe global automobile industry is striving towards a sustainable future. Emerging countries including India are gearing up for the revolution. Considering the key role of customer acceptance in the success of any technological shift, the study endeavors to ascertain the catalysts accelerating the adoption of Electric Two-Wheelers (E2W) in India by leveraging an extended Unified Theory of Acceptance and Use of Technology-2 model. The same would assist Electric Vehicle (EV) stakeholders in directing their efforts toward pivotal aspects having the potential to significantly bolster E2W penetration.Design/methodology/approachData was collected using convenience sampling technique from 1,254 electric two-wheeler owners across four Indian states and analyzed using Structural Equation Modelling.FindingsPerformance Expectancy, Price Value and Hedonic Motivation have a significant influence on purchase intention leading to actual buying behavior. Effort Expectancy, Social Influence, habit value and facilitating conditions were insignificant. Pro-Environmental Approach and Government Support significantly impact adoption intention and behavior respectively in addition to model predictors thus supporting the study’s novelty. Purchase intention proved to influence Actual Buying Behavior. Synergized efforts of EV stakeholders towards performance innovation, cost-effectiveness, improved infrastructure and information diffusion on sustainability and user-friendliness could aid in achieving transition to green mobility.Originality/valueThe study predominantly intends to address the intention–behavior gap related to electric two-wheelers in India. Also, two additional constructs, government support and pro-environmental approach, were incorporated resulting in a novel research framework that aims to test their nuanced ability to impact the model predictors.

Clinical Patient-Relevant Outcome Domains for Persistent Spinal Pain Syndrome-A Scoping Review and Expert Panels.

Large variation exists in the monitoring of clinical outcome domains in patients with persistent spinal pain syndrome (PSPS). Furthermore, it is unclear which outcome domains are important from the PSPS patient's perspective. The study objectives were to identify patient-relevant outcome domains for PSPS and to establish a PSPS outcomes framework. PubMed, CINAHL, Cochrane, and EMBASE were searched to identify studies reporting views or preferences of PSPS patients on outcome domains. The Arksey and O'Malley framework was followed to identify outcome domains. An expert panel rated the domains based on the importance for PSPS patients they have treated. A framework of relevant outcome domains was established using the selected outcome domains by the expert panel. No studies were found for PSPS type 1. Five studies with 77 PSPS type 2 patients were included for further analysis. Fourteen outcome domains were identified. An expert panel, including 27 clinical experts, reached consensus on the domains pain, daily activities, perspective of life, social participation, mobility, mood, self-reliance, and sleep. Eleven domains were included in the PSPS type 2 outcomes framework. This framework is illustrative of a more holistic perspective and should be used to improve the evaluation of care for PSPS type 2 patients. Further research is needed on the prioritization of relevant outcome domains.

The Impact of Data Agglomeration on Export Structure Upgrading in Cities: A Factor Mobility Perspective

The digital economy and export upgrading are important topics of common concern for policymakers and academics during the period of high-quality economic development. From the perspective of factor mobility, this paper constructs the two-way fixed effect, mediation effect, and spatial Durbin models to analyze the impacts of data agglomeration on urban export structure upgrading. Using panel data of 280 cities at the prefecture level and above in China from 2005 to 2018, the empirical analysis reveals a positive impact of data agglomeration on urban export structure upgrading, with capital transfer and technology diffusion further reinforcing this impact. Additionally, data agglomeration promotes urban export structure upgrading by optimizing innovation resource allocation and exhibits a spatial spillover effect on urban export structure upgrading. Finally, the facilitating effect on urban export structure upgrading is heterogeneous. Consequently, it is imperative to expedite the construction of new digital infrastructure, foster the integration and symbiotic evolution of data and traditional production factors, and implement distinct innovation development pathways based on regional comparative advantages.