Pattern Recognition of Travel Mobility in a City Destination: Application of Network Motif Analytics

2021 ◽  
pp. 004728752110247
Author(s):  
Sangwon Park ◽  
Ren Ridge Zhong

Urban tourism is considered a complex system. Tourists who visit cities have diverse purposes, leading to multifaceted travel behaviors. Understanding travel movement patterns is crucial in developing sustainable planning for urban tourism. Built on network science, this article discusses 12 key topologies of travel patterns/flow occurring in a city network by applying network motif analytics. The 12 significant types of travel mobility can account for approximately 50% of the total movement patterns. In addition, this study presents variations in travel movement patterns depending on not only different lengths of stay in topological structures of travel mobility, but also relative proportions of each type. As a result, this article suggests an interdisciplinary approach that adopts the network science method to better understand city travel behaviors. Important methodological and practical implications that could be useful for city destination planners are suggested.

Author(s):  
Hongjiu Tang ◽  
Jigang Bao

[Background] Previous research achievements of the service-oriented tourist city network have often focused on the analysis of its geographical distribution and service role of the important cities instead of the connections and hierarchical tendencies between the whole city in a large region.[Method]Using big data approaches on the regional connections of 38 tourism organizations including famous hotels, air passenger transport, tourism service agencies across 63 most important tourist cities in China. Fuzzy c-means clustering analysis is used to define 8 city arena clusters. [Results]According to the distributions of connectivity between 63 cities, these eight clusters play different service functional roles in the urban tourism network at four hierarchies. With their “center-edge” memberships, these arena clusters are formed by the interweaving process of regional and hierarchical tourism service connections. The results include the analysis of the various service-oriented tourist city in China and point out the geography “gap” faced by network. [Conclusion] Service-oriented tourist cities need to find their hierarchies and positioning in the network scientifically to avoid blind development, to make regional urban tourism sustainable development.


2019 ◽  
Vol 11 (13) ◽  
pp. 3748 ◽  
Author(s):  
Roberto Moro Visconti ◽  
Donato Morea

This study aims to detect if and how big data can improve the quality and timeliness of information in infrastructural healthcare Project Finance (PF) investments, making them more sustainable, and increasing their overall efficiency. Interactions with telemedicine or disease management and prediction are promising but are still underexploited. However, given rising health expenditure and shrinking budgets, data-driven cost-cutting is inevitably required. An interdisciplinary approach combines complementary aspects concerning big data, healthcare information technology, and PF investments. The methodology is based on a business plan of a standard healthcare Public-Private Partnership (PPP) investment, compared with a big data-driven business model that incorporates predictive analytics in different scenarios. When Public and Private Partners interact through networking big data and interoperable databases, they boost value co-creation, improving Value for Money and reducing risk. Big data can also help by shortening supply chain steps, expanding economic marginality and easing the sustainable planning of smart healthcare investments. Flexibility, driven by timely big data feedbacks, contributes to reducing the intrinsic rigidity of long-termed PF healthcare investments. Healthcare is a highly networked and systemic industry, that can benefit from interacting with big data that provide timely feedbacks for continuous business model re-engineering, reducing the distance between forecasts and actual occurrences. Risk shrinks and sustainability is fostered, together with the bankability of the infrastructural investment.


2020 ◽  
Author(s):  
Dale Zhou ◽  
David M. Lydon-Staley ◽  
Perry Zurn ◽  
Danielle S Bassett

Throughout life, we might seek a calling, companions, skills, entertainment, truth, self-knowledge, beauty, and edification. The practice of curiosity can be viewed as an extended and open-ended search for valuable information with hidden identity and location in a complex space of interconnected information. Despite its importance, curiosity has been challenging to computationally model because the practice of curiosity often flourishes without specific goals, external reward, or immediate feedback. Here, we show how network science, statistical physics, and philosophy can be integrated into an approach that coheres with and expands the psychological taxonomies of specific-diversive and perceptual-epistemic curiosity. Using this interdisciplinary approach, we distill functional modes of curious information seeking as searching movements in information space. The kinesthetic model of curiosity offers a vibrant counterpart to the deliberative predictions of model-based reinforcement learning. In doing so, this model unearths new computational opportunities for identifying what makes curiosity curious.


<em>Abstract</em>.—Blue catfish <em>Ictalurus furcatus</em> are a commercially and recreationally important species throughout their range, in which many states have differing management strategies. Before management strategies can be implemented to achieve specific goals, understanding seasonal habitat use and movement patterns is necessary to determine the appropriate spatial scale for management. Therefore, we determined the extent and timing of blue catfish movement in the upper Mississippi River (UMR). During fall 2006 through spring 2010, 92 blue catfish (ranging from 490 to 1,025 mm total length) were captured, implanted with ultrasonic transmitters, and released in the Lock and Dam 26 area. Movement was quantified in the UMR from below Lock and Dam 19 down to the Ohio River confluence, including major tributaries, by examining the average (kilometers moved between detections/number of detections) and maximum (total number of kilometers moved across all detections) movements for each fish throughout the life of each transmitter that was detected multiple times by the stationary receiver array. Of the 82% of fish detected by stationary receivers, movement occurred from Mississippi River kilometer 459 to the Ohio River confluence, with individual blue catfish movement ranging from a maximum of 689 river kilometers to a minimum of 1.3 river kilometers. Fifteen (19%) of the fish tagged in the UMR moved into one or more of major tributaries (the Missouri, Illinois, Meramec, and Ohio rivers) while 31 (41%) of the fish stayed in the Alton area year-round and 30 (40%) blue catfish moved down into the open river to possibly overwinter. When investigating total movement by tagged blue catfish each month, the greatest movement occurred during periods of changing water temperatures and high discharge. This was further supported by the Akaike’s information criterion, with the interactive model of temperature and discharge resulting in the most support for triggering blue catfish movement. Understanding these movement patterns and seasonal habitat requirements for spawning, foraging, or refuge of riverine fish is essential for effective management of these highly mobile fish.


Stroke ◽  
2014 ◽  
Vol 45 (suppl_1) ◽  
Author(s):  
Raymond Egger ◽  
Bethany Jennings ◽  
Patricia Commiskey ◽  
Aaron Bridges ◽  
Gregory Dadlez ◽  
...  

Background: Stroke care involves a costly and time-sensitive interdisciplinary approach, which requires a supportive platform in order to explore novel patient care strategies. Our initiative aims to reduce costs and poor outcomes for stroke patients through increased coordination across the continuum of care. Methods: This innovative care model includes an inpatient component, Stroke Central. Stroke Central utilizes an intra-professional team of specialists, including vascular neurologists, advance practice nurses, and a registered nurse (RN) coordinator who serves as the central contact to handle all stroke-related concerns from staff and patients. The goal of Stroke Central is to provide comprehensive monitoring of patients throughout care, resulting in early detection and intervention in any complications. The role of the RN coordinator is vital as a facilitator for Stroke Central communication, care monitoring, and ongoing education and training among patients and healthcare professionals. The RN coordinator is charged with improving compliance with standard of care guidelines throughout the continuum of care and collaborating with other team members to monitor patients both remotely and directly. Results: After initiation of Stroke Central, results show improved patient outcomes for the 434 patients seen in the first two quarters of 2013 compared with the 822 patients seen in 2012. Lengths of stay indices have decreased in cases of hemorrhagic stroke (10%), ischemic stroke (19%) and transient ischemic attacks (31%). Complication and mortality rates in hospitals have also decreased; expected complication rate index for ischemic stroke decreased 10%, while the risk adjusted mortality index for ischemic stroke decreased 40%. Initial cost analyses indicate decreased costs for the inpatient component. Conclusion: Having a dedicated staff member, as a first and continual facilitator for contact has been essential in this innovative model. Incorporating this key role into primary stroke care can lead to an overall improvement in stroke outcomes in diverse hospital settings.


2008 ◽  
Vol 18 (2) ◽  
pp. 76-86 ◽  
Author(s):  
Lauren Hofmann ◽  
Joseph Bolton ◽  
Susan Ferry

Abstract At The Children's Hospital of Philadelphia (CHOP) we treat many children requiring tracheostomy tube placement. With potential for a tracheostomy tube to be in place for an extended period of time, these children may be at risk for long-term disruption to normal speech development. As such, speaking valves that restore more normal phonation are often key tools in the effort to restore speech and promote more typical language development in this population. However, successful use of speaking valves is frequently more challenging with infant and pediatric patients than with adult patients. The purpose of this article is to review background information related to speaking valves, the indications for one-way valve use, criteria for candidacy, and the benefits of using speaking valves in the pediatric population. This review will emphasize the importance of interdisciplinary collaboration from the perspectives of speech-language pathology and respiratory therapy. Along with the background information, we will present current practices and a case study to illustrate a safe and systematic approach to speaking valve implementation based upon our experiences.


Swiss Surgery ◽  
2002 ◽  
Vol 8 (2) ◽  
pp. 45-52 ◽  
Author(s):  
Remmel ◽  
Harder

Prophylactic mastectomy is an aggressive strategy for breast cancer risk reduction. The indications and efficiency of this procedures are not yet clearly defined. Randomized, prospective studies, comparing different surgical procedures with other modalities of breast cancer risk reduction are lacking. The report evaluates the existing controversy, based on Medline search in the following sequence: risk factors, possibilities of risk reduction, effectiveness of risk reduction, technical considerations and recommendations. Patient selection is difficult and needs an interdisciplinary approach. The women have to be well informed about all treatment alternatives and various reconstructive procedures. An appropriate risk reduction strategy should be selected individually for each patient. Up to now, there exist only recommendations from different institutions but no definitive guidelines.


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