To contain the COVID-19 epidemic, one of non-pharmacological epidemic control measures is reducing transmission rate SARS-COV-2 in population through social distancing. An interactive web-based mapping platform that provides timely quantitative information on how people different counties and states reacted to distancing guidelines was developed by GeoDS Lab @UW-Madison with support National Science Foundation RAPID program. The web portal integrates geographic systems (GIS) daily updated...

A stay-at-home social distancing mandate is a key nonpharmacological measure to reduce the transmission rate of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), but high adherence needed.To examine association between human mobility changes and confirmed cases SARS-CoV-2 infection.This cross-sectional study used daily travel distance home dwell time derived from millions anonymous mobile phone location data March 11 April 10, 2020, provided by Descartes Labs SafeGraph quantify...

To contain the Coronavirus disease (COVID-19) pandemic, one of non-pharmacological epidemic control measures in response to COVID-19 outbreak is reducing transmission rate SARS-COV-2 population through (physical) social distancing. An interactive web-based mapping platform that provides timely quantitative information on how people different counties and states reacted distancing guidelines was developed with support National Science Foundation (NSF). It integrates geographic systems (GIS)...

Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during COVID-19 pandemic. In this data descriptor, we introduce a regularly-updated multiscale flow dataset across United States, with starting from March 1st, 2020. By analysing millions anonymous mobile phone users' visits to various places provided by SafeGraph, daily weekly...

Abstract With the booming economy in China, many researches have pointed out that improvement of regional transportation infrastructure among other factors had an important effect on economic growth. Utilizing a large-scale dataset which includes 3.5 billion entry and exit records vehicles along highways generated from toll collection systems, we attempt to establish relevance mid-distance land transport patterns status through network analyses. We apply standard measurements complex...

To contain the COVID-19 outbreak, one of non-pharmacological epidemic control measures in response to outbreak is reducing transmission rate SARS-COV-2 population through (physical) social distancing. An interactive web-based mapping platform that provides timely quantitative information on how people different counties and states reacted distancing guidelines was developed with support National Science Foundation (NSF). The web portal integrates geographic systems (GIS) daily updated human...

Abstract The Huff model has been widely used in location‐based business analysis to delineate a trade area containing store’s potential customers. Calibrating the and its extensions requires empirical location visit data. Many studies rely on labor‐intensive surveys. With increasing availability of mobile devices, users platforms share rich multimedia information about their locations at fine spatio‐temporal resolution, which offers opportunities for intelligence. In this research, we...

The COVID-19 pandemic has profoundly impacted the economy and human lives worldwide, particularly vulnerable low-income population. We employ a large panel data of 5.6 million daily transactions from 2.6 debit cards owned by population in U.S. to quantify joint impacts state lockdowns stimulus payments on this population's spending along inter-temporal, geo-spatial, cross-categorical dimensions. Leveraging difference-in-differences analyses at per card zip code levels, we uncover three key...

Searching for a parking spot in metropolitan areas is great challenge, especially highly populated such as downtown districts and job centres. On-street often cost-effective choice compared to facilities garages lots. However, limited space complex regulation rules make the search process of on-street legal very difficult. To this end, we propose data-driven framework understanding predicting spatiotemporal legality using NYC tickets open data, points interest (POI) data human mobility data....

The tendon driven mechanism using a cable and pulley to transmit power is adopted by many surgical robots. However, backlash hysteresis objectively exists in cable-pulley mechanisms, this nonlinear problem great challenge precise position control during the procedure. Previous studies mainly focused on transmission characteristics of cable-driven system constructed models under particular assumptions solve problems. these approaches are limited because modeling process complex lack general...

Serve as the human-robot interface of laparoscopic surgical robot, master device always plays a crucial role in terms master-slave manipulation. Growing demands robot-assisted surgery system also warrant more rational design and optimization for manipulator mechanism, which turn out to be important improving performance operations. In this paper, novel 9 degrees freedom (DOFs) haptic applied robots is proposed. First all, mechanical configuration serial presented along with its corresponding...

To contain the Coronavirus disease (COVID-19) pandemic, one of non-pharmacological epidemic control measures in response to COVID-19 outbreak is reducing transmission rate SARS-COV-2 population through (physical) social distancing. An interactive web-based mapping platform that provides timely quantitative information on how people different counties and states reacted distancing guidelines was developed with support National Science Foundation (NSF). It integrates geographic systems (GIS)...

Searching for a parking spot in metropolitan areas is great challenge comparable to the Hunger Games, especially highly populated such as downtown districts and job centers. On-street often cost-effective choice compared facilities garages lots. However, limited space complex regulation rules make search process of on-street very difficult. To this end, we propose data-driven framework understanding predicting spatiotemporal availability using NYC tickets open data, points interest (POI)...

Public transportation systems, in particular, bus play an essential role the process of urbanization. Typically more stops enable people to access whereas lower efficiency system. This study uses a Spatial Interaction Coverage (SIC) model identify and remove redundant while maintain overall success whole The SIC aims relationship between demand points stops. It takes factors such as distance attractiveness each stop into consideration. simulated annealing algorithm is then applied with find...

When users browse beautiful scenery photos uploaded on a social media website, they may have passion to know about where those are taken so that could view the similar sceneries when go same spot. Advancement in computer vision technology enables extraction of visual features from images and widespread location-awareness devices makes image positioning possible with GPS coordinates or geo-tags (e.g., landmarks, place names). In this paper, we propose novel method for by utilizing spatial...

The COVID-19 pandemic has profoundly impacted the economy and human lives worldwide, particularly vulnerable low-income population. We employ a large panel data of 5.6 million daily transactions from 2.6 debit cards owned by population in U.S. to quantify joint impacts state lockdowns stimulus payments on this population's spending along inter-temporal, geo-spatial, cross-category dimensions. Leveraging difference-in-differences spatial association analyses at per card zip code levels, we...

Spatial networks are useful for modeling geographic phenomena where spatial interaction plays an important role. To analyze the and their internal structures, graph-based methods such as community detection have been widely used. Community aims to extract strongly connected components from network reveal hidden relationships between nodes, but they usually do not involve attribute information. consider edge-based interactions node attributes together, this study proposed a family of...

This paper studies the physiological tremor filtering in minimally invasive surgical robot. The surgeon's of hand can cause vibration tip instrument, which may reduce operative accuracy and limit application robots. Aiming at caused by hand, we propose a Least Squares Support Vector Machine Kalman Filter (LSSVMKF), filter estimating modeling signal then superimposing it reversely control signal. When signal, uses (LS-SVM) to build regression model constant parameters (Process Noise...

The Huff model has been widely used in location-based business analysis for delineating a trading area containing potential customers to store. Calibrating the and its extensions requires empirical location visit data. Many studies rely on labor-intensive surveys. With increasing availability of mobile devices, users platforms share rich multimedia information about their locations fine spatiotemporal resolution, which offers opportunities intelligence. In this research, we present...