Search Results (139)

Environmental consciousness has become increasingly important in the professional sports industry as it often hosts large-scale events that have significant environmental impacts. While the economic benefits of locating stadiums in city centers have been discussed, especially in terms of neighborhood revitalization, there has been limited empirical research on whether stadium relocation affects the transportation choices of spectators and reduces carbon dioxide emissions. Through a case study of a Japanese professional football club that relocated its home stadium from the suburb to the city center, this study quantitatively elucidated the change in spectators’ transportation choices and resulting reductions in carbon emissions achieved by the stadium relocation. Analysis indicated variations in behavioral changes among groups based on their loyalty levels to the club. It also highlighted the varying influence of the different residential areas within the metropolitan area on the modal choice. This study demonstrates the potential contribution of stadium relocation to sustainable urban planning by providing empirical evidence of these behavioral changes and policy implications for restructuring the urban public transportation network. Full article

This study investigates the influence of bedrock material conditions on the seismic behavior of the Niedzica earth dam in southern Poland. It examines the dam’s dynamic response to a real seismic event—the 2004 Podhale earthquake—and evaluates how different foundation conditions affect structural performance under spatially varying ground motions. A spatially varying ground motion excitation model was developed, incorporating both wave coherence loss and wave passage effects. Seismic data was collected from three monitoring stations: two located in fractured bedrock beneath the dam and one installed in the surrounding intact Carpathian flysch. From these recordings, two key spatiotemporal parameters were experimentally determined: the seismic wave velocity and the spatial scale parameter (α), which reflects the degree of signal incoherence. For the fractured bedrock beneath the dam, the wave velocity was 2800 m/s and α = 0.43; for the undisturbed flysch, it was 3540 m/s and α = 0.82. A detailed 3D finite element model of the dam was developed in ABAQUS and subjected to time history analyses under three excitation scenarios: (1) uniform input, (2) non-uniform input with coherence loss, and (3) non-uniform input including both coherence loss and wave passage effects. The results show that the dam’s seismic response is highly sensitive to the choice of spatiotemporal parameters. Using generalized values from the flysch reduced predicted shear stresses by up to 16% compared to uniform excitation. However, when the precise parameters for the fractured bedrock were applied, the reductions increased to as much as 24%. This change in response is attributed to the higher incoherence of seismic waves in fractured material, which causes greater desynchronization of ground motion across the dam’s foundation. Even small-scale geological differences—when properly reflected in the spatiotemporal model—can significantly influence seismic safety evaluations of large-scale structures. Ultimately, shifting from regional to site-specific parameters enables a more realistic assessment of dynamic stress distribution. Full article

Residential mobility within cities reflects the spatio-temporal patterns of individual or household relocation behaviors and serves as an effective tool for interpreting urban socio-spatial differentiation from a micro-level perspective. Newly employed college graduates (NECGs) have become the second-largest migrating population in China. This study selects Guangzhou, a megacity, as the study area and utilizes data from the “Guangzhou New Citizens’ Residential Mobility Survey” conducted in 2023. It applies spatio-temporal systems and the spatio-temporal path method based on time geography to explore the residential mobility trajectories of NECGs in Guangzhou. In addition, the study uses a logistic regression model to explore the influencing factors. The findings indicate that NECGs frequently move across districts, showing no significant patterns of concentration or dispersion. However, residential location choices vary considerably across educational levels and household registration natures (Hukou), and as the duration of residence in Guangzhou increases, the probability of residential mobility among NECGs across all educational levels shows a declining trend. Specifically, marital status (life course attributes), housing prices and medical facilities (housing attributes), and job type (socioeconomic attributes) emerge as critical factors influencing residential mobility. By providing a foundation for urban planning policies, this study aims to support the settlement and well-being of NECGs while promoting high-quality urban development in Guangzhou. Full article

Background: Primary malignant bone tumors are exceedingly rare, with an incidence of 0.5 to 1 per million, and sacral localization is even more uncommon, representing only 1–3.5% of these tumors. These malignancies are often diagnosed late due to their asymptomatic nature until they present as large, advanced intrapelvic tumors. Management is complicated by the need for precise surgical intervention and the consideration of adjuvant therapies based on tumor histology and patient factors. Methods: We conducted a single-center, retrospective analysis of patients who underwent complete, partial, or hemisacrectomy for primary malignant bone tumors or recurrent sacral metastases. Excluded were patients with metastatic disease not necessitating sacrectomy. Data collected included demographics, clinical characteristics, tumor types, resection status, adjuvant therapies, recurrence, metastasis, and complications. Surgical approaches were categorized as posterior, anterior, or combined anterior–posterior. The primary outcomes were overall survival and disease-free survival, while the secondary outcomes focused on complication rates and functional outcomes. Results: The study included 19 patients (7 females, 12 males) with a mean age of 48.9 years at the time of surgery. Primary malignancies were present in 90% of patients. Surgical approaches varied: 20% underwent double access and 5% anterior access only, and the remainder had posterior approaches. High partial sacrectomy (above S3) was performed in 20%, while low sacrectomy (at or below S3) was performed in 80%. Complete resection with clean margins (R0) was achieved in 65% of cases, while 35% had R1 resections with microscopic tumor remnants. Root resection was necessary in 25% of patients. Local recurrence occurred in 25% of patients, with two requiring reoperation and neurological sacrifice. Distant metastases were observed in 20% of cases. Postoperative complications affected 60% of patients. The most common issues were surgical wound dehiscence with delayed healing (35%) and visceral changes affecting the bowel and urination (25%). No mechanical complications were reported. Conclusions: Sacrectomy remains a challenging procedure with substantial morbidity and variability in outcomes. The choice of surgical approach—posterior, anterior, or combined—depends on tumor location and extent. While posterior-only approaches are often preferred for lower sacral lesions, combined approaches may be necessary for more extensive tumors. Survival and disease-free survival rates are influenced by resection margins and the biological behavior of the tumor. Wide-margin resections (R0) are associated with lower local recurrence rates but do not eliminate the risk of distant metastases. Full article

Every adolescent should have the right to make their own choices about their sexual and reproductive health (SRH). Achieving this goal can be challenging, especially in low- and middle-income countries (LMICs), where social norms and insufficient resources may limit access to information. Technology is increasingly being leveraged in LMICs to reach adolescents. We searched the literature to understand the landscape of digital SRH interventions in LMICs. The review addressed three questions: (1) What are the interventions and how effective are they? (2) What are adolescent preferences for information? And (3) What do the interventions cost? There is a wide variety in the populations addressed (e.g., adolescents with HIV, pregnant/post-partum adolescents) and the locations of the interventions, with the majority in sub-Saharan Africa. The types of interventions were evenly distributed between “push” approaches, where adolescents are sent information; “pull” approaches, where adolescents reach information from a website or app; and “two-way” approaches, which combine push and pull aspects. The most positive features identified were convenience and privacy. The major challenge is inadequate smartphone penetration in very low-income adolescents, especially girls. The evidence on the effectiveness of these interventions is mixed. Most studies show that SRH knowledge increases, but this does not necessarily lead to behavior change. Full article

As a habitat for waterbirds, wetlands are key to their survival, reproduction and development. Waterbirds usually prefer breeding, wintering and resting in fixed locations. Siberian cranes (Grus leucogeranus), which are highly dependent on wetlands, have long fed on farmland at migratory stopover sites. To explore the reason for this phenomenon, the time budgets of Siberian crane populations stopping over on farmland or in wetland habitats were studied and compared in this study. The results showed that the farmlands visited by the Siberian cranes are rich in food resources and have experienced low levels of disturbance. The temporal distribution of feeding behavior on farmland (53.50%) was greater than that in wetland habitats (31.96%). The variations in warning, flying and walking behavior on farmland were less than those in wetlands. The feeding efficiency on farmland was significantly greater than that in wetlands. Therefore, Siberian cranes transiting the Songnen Plain leave wetland habitats and stop over on farmland, representing a behavior that occurs more than just occasionally. Instead, they change their foraging habitat choices based on the optimal foraging theory. As a transit feeding area for Siberian cranes, farmland poses a significant risk, and the restoration of wetland habitats and food resources is still needed. This study can provide theoretical support for the conservation of rare and endangered species (the Siberian crane) and the management of stopover sites. Full article

As the decline of public transportation in rural areas becomes a growing concern, initiatives to introduce attractive next-generation transportation systems to promote public transportation usage are being considered across various regions. In Toyama City, Toyama Prefecture, where the next-generation light rail transit (LRT) system has been introduced, the number of users has significantly increased compared to before its introduction, with some users riding the LRT for the sake of the experience itself. On the other hand, there is a demand for a more micro-level and quantitative evaluation of the impact that the LRT has on the liveliness of areas along its route. Therefore, this study uses inverse reinforcement learning (IRL), a type of machine learning, to build a model that estimates route-choice behavior along the LRT lines based on behavioral trajectories generated from smartphone location data. The model is capable of evaluating the characteristics of location data with high accuracy. The findings indicate that routes along the LRT lines tend to be selected, suggesting that both the appeal of the LRT itself and the attractiveness of the spaces along its route contribute to this tendency. Full article

The lack of precise and comprehensive information about the health of bridges, and in particular long span ones, can lead to incorrect decisions regarding maintenance, repair, modernization, and reinforcement of the structure itself. While the consequences of inadequate interventions are quite apparent, incorrect decisions can also result in unnecessary or misdirected actions. For example, an inadequate assessment of the structural health can lead to the modernization and replacement of some components that are still sound. Structural Health Monitoring (SHM) involves the use of time series derived from periodic measurements of the structure’s behavior, considered in its operational and load environment. The goal is to determine its response to various solicitations and, in particular, to highlight any critical issue in the structure’s behavior that may affect its reliability and safety due to anomalies and deterioration. This paper proposes an SHM method applied to the Valgadena bridge, one of the tallest viaducts in Italy and Europe (maximum height 160 m), located on the Altopiano dei Sette Comuni in the Province of Vicenza. Despite the fact that the viaduct itself had already been monitored during its construction using classical geometric leveling techniques, the methodology proposed here is based instead on the use of affordable dual-frequency GNSS (Global Navigation Satellite System) receivers to determine static and dynamic components of the bridge movements. Specifically, an effective combination of time series analysis methods and machine learning techniques is proposed in order to determine the vibration modes of the monitored viaduct. Monitoring is performed in regular operation conditions of the bridge (operational modal analysis (OMA)), and the use of certain machine learning methods aims at supporting the development of an effective automatic OMA procedure. To be more specific, the random decrements technique is used in order to make the vibration characteristics of the collected signals more apparent. Time-domain-based subspace identification is applied in order to determine a proper model of the collected measurements. Then, clustering methods, namely DBSCAN (Density-Based Spatial Clustering of Applications with Noise) and GMMs (Gaussian Mixture Models), are used in order to reliably estimate the system poles, and hence the corresponding vibration characteristics. The performance of the considered methods is compared on the Valgadena bridge case study, showing that the use of GMM clustering reduces, with respect to DBSCAN, the impact of the choice of certain parameter values in the considered case. Full article

Despite the availability of electronic navigators and automated vehicles, static wayfinding instructions remain widely used due to their resistance to signal disturbances, as well as their economic and environmental advantages over electronic signs. To investigate the impact of static wayfinding on the network cost and flow distribution, this paper presents an efficient method for updating the incident matrix and extends the stochastic user equilibrium (SUE) framework to incorporate static wayfinding instructions by using the generalized nested logit (GNL) choice model to represent user behavior. The SUE principle relaxes the assumption that users possess perfect knowledge of traffic conditions and always choose the optimal link to minimize their costs. The GNL model improves generalization performance of the cross-nested logit (CNL) model while solving the overlap problem of the multinomial logit (MNL) model. The disaggregate simplicial decomposition (DSD) algorithm is applied to solve proposed user equilibrium by iteratively finding decent directions through an auxiliary solution and determining step size using different methods. The results indicate that the self-regulated averaging (SRA) method can solve the proposed model efficiently. Additionally, increasing travel time cost on guided links and even outer links can be potential influences caused by static wayfinding instructions. The study results can assist decision-makers in quantitatively assessing the value of placing static wayfinding instructions at certain locations and choosing effective layout information. Full article

The advent and progression of AR (augmented reality) technology, coupled with the emergence of AR hearing aid glasses, offer a novel opportunity for people with hearing impairments (PHI). This study aims to explore the intention of this population to employ AR hearing aid glasses as their choice of hearing aid device and the specific factors influencing their preference. This study utilized the partial least squares SEM (PLS-SEM) analytical method to create structural equation model for intentions of PHI to use AR glasses as hearing aids. Data were gathered from on-site experiences across multiple locations; a total of 189 valid questionnaires from individuals with varying degrees of hearing disabilities were used for statistical analysis. According to the data analysis results, we discovered that functionality quality, perceived interaction speed, and perceived usability significantly influence communication effectiveness. Further, communication effectiveness positively influences confidence and societal perception, and the latter has a positive impact on information. Both of these factors positively influence behavioral intention. Based on these findings, this study offers design recommendations for AR hearing aid glasses to cater to the specific needs of PHI, aiming to enhance their quality of life. Furthermore, this study provides pivotal insights for the prospective growth of this emerging industry. Full article

This work focuses on understanding the different strategies adopted by wine cooperatives located in Argentina and the main E.U. wine countries for penetrating international distribution networks in the U.S. and Canadian markets. This study adopts a contingency framework integrating a stakeholder approach for the understanding of the logic behind a cooperative’s strategies to penetrate distribution networks (wholesalers, importers, and alcohol monopolies). This empirical study is based on the analysis of still and sparkling wine exports to the U.S. and Canadian markets, covering a period of approximately 54 months (2017–2021). The sample includes the analysis of more than 7000 containers shipped by the leading wine cooperatives in each individual country. The findings suggest the existence of heterogeneous choices in the distribution networks among wine cooperatives but also uniqueness related to the nature of the type of products marketed (still wines, sparkling wines, etc.) as well as the nature of the geographic origin of wine cooperatives. More precisely, the distribution of wine cooperatives in the U.S. and Canada shows different patterns. This investigation contributes to a better understanding of the behavior of wine cooperatives in marketing channels and to the literature on buyer-driven chains. It provides insights into the strategic choices of wine cooperatives and contributes to wine policies by providing insights on the modalities for the financing of the promotion of cooperative wines in non-E.U. countries. Full article

Understanding and estimating the economic value that society places on agricultural soil quality protection and improvement can guide the development of policies aimed at mitigating pollution, promoting conservation, or incentivizing sustainable land management practices. We estimate the general public’s willingness to pay (WTP) for agricultural soil quality protection and improvement in Spain (n = 1000) and the UK (n = 984) using data from a cross-sectional survey via Qualtrics panels in March–April 2021. We use a double-bound dichotomous choice contingent valuation approach to elicit the individuals’ WTP. We investigate the effect of uncertainty on the success of policies aiming at achieving soil protection. In addition, to understand the heterogeneity in individuals’ WTP for agricultural soil quality protection and improvement, we model individuals’ WTP through individuals’ awareness and attitudes toward agricultural soil quality protection and the environment; trust in institutions; risk and time preferences; pro-social behavior; and socio-demographics in Spain and the UK. We found that there is significant public support for agricultural soil quality protection and improvement in Spain and the UK. We also found that the support does not vary significantly under uncertainty of success of policies aiming at achieving soil protection. However, the individual’s reasons for supporting agricultural soil quality protection and improvement are found to depend on the level of uncertainty and country. Hence, promoting public support for soil protection needs to be tailored according to the level of the general public’s perceived uncertainty and geographic location. Full article

With the support of big data mining techniques, utilizing social media data containing location information and rich semantic text information can construct large-scale daily activity OD flows for urban populations, providing new data resources and research perspectives for studying urban spatiotemporal structures. This paper employs the ST-DBSCAN algorithm to identify the residential locations of Weibo users in four communities and then uses the BERT model for activity-type classification of Weibo texts. Combined with the TF-IDF method, the results are analyzed from three aspects: temporal features, spatial features, and semantic features. The research findings indicate: ① Spatially, residents’ daily activities are mainly centered around their residential locations, but there are significant differences in the radius and direction of activity among residents of different communities; ② In the temporal dimension, the activity intensities of residents from different communities exhibit uniformity during different time periods on weekdays and weekends; ③ Based on semantic analysis, the differences in activities and venue choices among residents of different communities are deeply influenced by the comprehensive characteristics of the communities. This study explores methods for OD information mining based on social media data, which is of great significance for expanding the mining methods of residents’ spatiotemporal behavior characteristics and enriching research on the configuration of public service facilities based on community residents’ activity spaces and facility demands. Full article

While high-speed rail (HSR) has achieved success in major cities in Europe and Asia, it is a new phenomenon in the US, and few studies on HSR in the US are available, especially from the users’ perspective. This study aims to fill the research gap by investigating the mode choice behavior in the Los Angeles and San Francisco corridor where HSR may soon become a feasible option. The impact of COVID-19 was also examined with regard to how people view modes of domestic travel and how their view may change. The geographic locations of travelers and the possible HSR characteristics in the US were also explored. Survey data of US travelers was collected on MTurk, which was analyzed using logistics regression and Two-Way MANOVA. The results indicated that convenience in transport, travel frequency, gender, mobility issues, income, and total travel time were determinants in the choice between HSR and air service, while travel frequency and total travel time were important in the choice between HSR and car transport. Most US travelers changed their views following COVID-19 in terms of domestic travel and exhibited a higher intention to travel by train and HSR. Geographic patterns were identified, such as people in the southern US were the most knowledgeable of HSR and had the greatest intention to use HSR, while people in the northeast exhibited the lowest intention. The findings indicate potential interest in HSR among US travelers, and offer much-needed empirical evidence for the potential success of HSR in the US. Full article

Many indoor-housed cows isolate at calving when given the opportunity, and calving behaviors vary by blind and pen design. The objectives of this study were to determine if cows preferred calving in a visibly separated (blind) or an open area of a group maternity pen, and if there was a preference for the degree of seclusion provided by the blind (50% vs. 100% coverage). Two calving blinds were provided in a group calving pen, and the amount of visibility through the blinds was created using firehoses secured from the top of a metal frame that lined the entire front of the blind (100%) or with every other hose rolled up (50%). Holstein cows and heifers (n = 79) were enrolled into a dynamic group calving pen 21 ± 3 d before calving. Calving location, the difference in blind use prior to calving compared to a baseline period, and social behaviors were recorded using video observation. There was no difference in the number of cows that calved in or outside of a blind (28 vs. 37 calvings, respectively). Cows were more likely to calve in a blind during the day than at night and as the number of cows in the pen increased. For cows who calved in a blind, there was no preference for calving in the 50% or 100% blind (10 vs. 18, respectively). Providing a varied environment for intensively managed cattle can improve their welfare by allowing cows the opportunity to perform natural behaviors and choice over their environment. Full article