scholarly journals Spatial Analysis of Tourist Spots in Central Tokyo Using Online Geotagged Photographs from Flickr

2019 ◽  
Vol 1 ◽  
pp. 1-1
Author(s):  
Bochra Bettaieb ◽  
Yoshiki Wakabayashi
Keyword(s):  
Information And Communication Technologies ◽  
Spatial Patterns ◽  
Public Transportation ◽  
Hot Spots ◽  
Spatial Behavior ◽  
Hotspot Analysis ◽  
Tourist Attractions ◽  
Positioning Systems ◽  
Photo Sharing ◽  
Railroad Stations

<p><strong>Abstract.</strong> Advancements in information and communication technologies enable us to trace human activities through digital media; networks of fixed or mobile sensors, such as smartphones, global positioning systems, and travel cards, can monitor the timing and locations of human behavior throughout the day. These new sources of geospatial data provide the possibility of analyzing high-resolution big data to capture patterns of human spatial behavior across space and time. Online photo-sharing services are comprised of such sources. This study analyzes the geocoded photos from a photo-sharing service to make a comparison of the varying spatial patterns of tourist attractions in Tokyo as differentiated between those taken by Japanese and foreign visitors.</p><p> We selected three places (Shinjuku, Asakusa, and Ginza) as study districts from the five top places frequently visited by foreigners based on the 2014 Survey Report of Foreigner Behavior. The data were downloaded from Flickr, one of the most popular online platforms for people to share their travel experiences by uploading photos. We used the data of geocoded photos from 2014, taken within 1 km from Shinjuku, Ginza, and Asakusa stations. Information on the nationality of contributors recorded in the Flickr data was used to compare the tourist spots of Japanese and foreign visitors. To identify the tourist spot, we employed a hotspot analysis using geographic information systems.</p><p> The obtained results showed some tourist spots common to Japanese and foreign visitors in three study areas, namely, places close to railroad stations. However, the distribution of foreigners’ photographs showed a higher spatial concentration than those taken by Japanese tourists. This tendency is consistent with the findings obtained by Suzuki and Wakabayashi (2008), wherein they compared photos of tourist attractions in guide books of Tokyo. This comparative difference can be explained by the accessibility of railroad stations; in other words, foreigners rely more on public transportation during their comparatively short stays.</p><p> Spatial patterns of tourist spots varied with the study district in question. In Shinjuku and Ginza, there are differences in tourist spots between Asians and Europeans. Particularly, European tourists’ hot spots tend to be more scattered than Asians. However, such differences are not observed in Asakusa, where tourists’ hot spots are concentrated around Sensoji Temple and Tokyo Sky Tree. The reason for this is that tourist attractions are concentrated in and around specific facilities in the Asakusa district. Hence, the variations of tourist spots obtained by analyzing the geotagged photographs on Flickr can be explained by the difference in behavior and interest of foreign tourists between countries, as well as the spatial distribution of tourist attractions.</p>

Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data

2018 ◽  
Vol 18 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Georgiana Grigoraș ◽  
Bogdan Urițescu
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Land Surface Temperature ◽  
Hot Spots ◽  
Land Surface ◽  
Hot Spot ◽  
Monitoring Network ◽  
Residential Areas ◽  
Hotspot Analysis ◽  
The City

Abstract The aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center.

Automatic tourist attraction and representative icon determination for tourist map generation

2013 ◽  
Vol 13 (1) ◽  
pp. 18-28 ◽  
Author(s):  
Chao-Hung Lin ◽  
Jyun-Yuan Chen ◽  
Shun-Siang Hsu ◽  
Yun-Huan Chung
Keyword(s):  
User Study ◽  
Three Dimensional ◽  
Automatic Generation ◽  
Visual Features ◽  
Tourist Attraction ◽  
Tourist Attractions ◽  
Photo Sharing ◽  
Map Generation ◽  
Three Dimensional Models ◽  
Better Than

Tourist maps are designed to direct tourists to tourist attractions in unfamiliar areas. A well-designed tourist map can provide tourists with sufficient and intuitive information about places of interest. Thus, providing up-to-date information on places of interest and selecting their representative icons are fundamental and important in automatic generation of tourist maps. In this article, approaches for determining places of interest and for determining their representative icons are introduced. In contrast to general digital tourist maps that use text, simple shapes, or three-dimensional models, we use photos that offer abundant visual features of places of interest as icons in tourist maps. The photos are automatically extracted from a repository of photos downloaded from photo-sharing communities. Tourist attractions and their corresponding image icons are determined by means of photo voting and photo quality assessment. Qualitative analyses, including a user study and experiments in several areas with numerous tourist attractions, indicated that the proposed method can generate visually pleasant and elaborate tourist maps. In addition, the analyses indicated that the map produced by our method is better than maps generated by related methods and is comparable to hand-designed tourist maps.

PERSEPSI WISATAWAN NUSANTARA TERHADAP KINERJA SEKTOR PARIWISATA DI DESA WISATA KABUPATEN SLEMAN

2012 ◽  
Vol 14 (1) ◽  
pp. 29
Author(s):  
Lucia Nurbani Kartika ◽  
Purwani Retno Andalas
Keyword(s):  
Public Transportation ◽  
Descriptive Analysis ◽  
Sampling Technique ◽  
Good Work ◽  
Contemporary Culture ◽  
Tourist Attractions ◽  
Analysis Technique ◽  
Tourism Information ◽  
And Performance ◽  
Ticket Prices

This study was intended to analyze the attributes of tourism villages in Sleman district that were perceived by domestic tourists, to identify the perceptions of domestic tourists on the importance of various attributes of tourism villages in Sleman Yogyakarta, to identify the perceptions of domestic tourists on the performance of tourism villages viewed from various attributes which were considered important by tourists and to describe whether or not there were differences in perceptions of domestic tourists on the importance and performance of various attributes of economic, social and tourism infrastructure in the Tourism Village of Sleman Regency. Respondents of this study were domestic tourists who were visiting tourism villages in Sleman Regency with a sample of 150 people, who were selected using purposive sampling technique. The data analysis technique used descriptive analysis and Importance-Performance analysis. The results of the analysis showed that the attributes of public facilities, tour guides who master the local culture and have communication skills, security of tourist attractions (tourism  villages), comfort of tourism villages (organized, clean, complete facilities), tourism information (directions, posts on tourism village gates), friendliness of the local people, and people's understanding of culture and tourism objects are in the "Keep Up The good Work" quadrant. The attributes of parking facilities, road quality and health services (hospitals, pharmacies) were in the "Concentrate Here" quadrant. As for the attributes of the number of public transportation facilities, public transportation lines, banking services, traditional or classical cultural events or shows, events or performances of contemporary culture, souvenir shopping, food shopping (culinary), tourism village ticket prices, tourist price levels (tour package prices, outbound, event) were in the "Low Priority" quadrant and the choice of natural or cultural attractions was in the "Possible Overkill" quadrant. Keywords: tourism infrastructure, tourism village attributes, level of importance, level of performance ABSTRAK Penelitian ini dimaksudkan untuk menganalisis atribut-atribut desa wisata di kabupaten Sleman yang dipersepsikan oleh wisatawan nusantara, untuk mengidentifikasikan  persepsi wisatawan Nusantara terhadap tingkat pentingnya berbagai atribut desa wisata di Kabupaten Sleman Yogyakarta, untuk mengidentifikasikan persepsi wisatawan Nusantara terhadap kinerja Desa Wisata dilihat dari berbagai atribut yang dianggap penting oleh para wisatawan dan untuk mendeskripsikan ada atau tidaknya perbedaan persepsi wisatawan Nusantara atas arti penting dan kinerja berbagai atribut infrastruktur ekonomi, sosial dan kepariwisatan di Desa Wisata Kabupaten Sleman. Responden penelitian ini adalah para wisatawan nusantara yang sedang berkunjung ke desa wisata di kabupaten Sleman dengan sampel sejumlah 150 orang, yang dipilih menggunakan teknik purposiv sampling. Teknik analisis data menggunakan analisis deskriptif, analisis Importance-Performance. Hasil analisis menunjukkan bahwa atribut ketersediaan fasilitas umum (MCK), pemandu wisata yang menguasai budaya lokal, pemandu wisata yang memiliki ketrampilan berkomunikasi, keamanan tempat wisata (desa wisata), kenyamanan desa wisata (teratur, bersih, fasilitas lengkap), informasi pariwisata (petunjuk arah, tulisan pada gerbang desa wisata), keramahan penduduk lokal, dan pemahaman masyarakat akan budaya dan obyek wisata berada pada kuadran “Keep Up The good Work”.  Atribut fasilitas parkir, kualitas jalan dan layanan kesehatan (rumah sakit, apotik)berada pada kuadran “Concentrate Here”. Adapun atribut jumlah sarana transportasi umum, jalur transportasi publik, jasa perbankan (ATM dan sejenisnya), event atau pertunjukan budaya tradisional dan klasik, event atau pertunjukan budaya kontemporer, tempat belanja cinderamata, tempat belanja makanan (oleh-oleh), harga tiket masuk desa wisata, tingkat harga wisata (harga paket wisata, outbound, event)berada pada kuadran “Low Priority”. Sedangkan atribut keteraturan lalu lintas dan pilihan obyek wisata alam atau budaya berada pada kuadran “Possible Overkill”. Keywords: infrastruktur pariwisata, atribut desa wisata, tingkat kepentingan, tingkat kinerja.

Using Technology to Support Quality Learning for School Activities Involving Field Studies

2010 ◽  
pp. 334-349 ◽  
Author(s):  
K. M. Stewart ◽  
K. Thompson ◽  
J. G. Hedberg ◽  
W. Y. Wong
Keyword(s):  
Information And Communication Technologies ◽  
Mobile Learning ◽  
Communication Technologies ◽  
Field Studies ◽  
Mobile Technologies ◽  
Classroom Teachers ◽  
Positioning Systems ◽  
School Activities ◽  
Information And Communication ◽  
Quality Learning

The term mobile learning provides an image of active learning, of moving out into the world beyond the confines of the desk, beyond the classroom, beyond the school. The affordances of mobile, networked digital computers can provide learners with seamless access to and between information systems including data capture facilities and global positioning systems in real world settings. Mobile learning has come to represent a fruitful partnership between innovation in pedagogy and innovation in information and communication technologies. This chapter explores this nexus as it appears in emerging practices of a range of classroom teachers who are working to combine their aspirations for high quality student learning with the affordances of mobile technologies.

Exploring Spatial Patterns of Property Crime Risks in Changchun, China

2013 ◽  
Vol 4 (3) ◽  
pp. 80-100 ◽  
Author(s):  
Wei Song ◽  
Daqian Liu
Keyword(s):  
Spatial Patterns ◽  
Hot Spots ◽  
Property Crime ◽  
Ordinary Least Squares ◽  
Neighborhood Characteristics ◽  
Risk Areas ◽  
Gwr Model ◽  
The Relationship ◽  
The City ◽  
Crime Risks

Urban crime has increasingly become a major issue for Chinese cities. Using crime data collected at police precincts in 2008, the main aim of this research is to examine the spatial distribution of property crime which accounted for almost 82% of all crimes in the city of Changchun, and analyze the relationship between the spatial patterns of property crime and neighborhood characteristics. Standardized property crime rates (SCR) were applied to assess the relative risk of property crime across the city. Statistically significant clusters of high-risk areas or hot-spots were detected. A global ordinary least squares (OLS) regression model and a geographically weighted regression (GWR) model were calibrated to explore the risk of property crime as a function of contextual neighborhood characteristics. The analytical results show that significant local variations exist in the relationship between the risk of property crime and several neighborhood socioeconomic variables.

scholarly journals Facing a Second Wave from a Regional View: Spatial Patterns of COVID-19 as a Key Determinant for Public Health and Geoprevention Plans

2020 ◽  
Vol 17 (22) ◽  
pp. 8468
Author(s):  
Olga De Cos ◽  
Valentín Castillo ◽  
David Cantarero
Keyword(s):  
Public Health ◽  
Spatial Patterns ◽  
Information Technologies ◽  
Spatial Information ◽  
Spatial Behavior ◽  
Geographical Information ◽  
Geographic Information Technologies ◽  
Systems Research ◽  
Health Authorities ◽  
Johns Hopkins University

Several studies on spatial patterns of COVID-19 show huge differences depending on the country or region under study, although there is some agreement that socioeconomic factors affect these phenomena. The aim of this paper is to increase the knowledge of the socio-spatial behavior of coronavirus and implementing a geospatial methodology and digital system called SITAR (Fast Action Territorial Information System, by its Spanish acronym). We analyze as a study case a region of Spain called Cantabria, geocoding a daily series of microdata coronavirus records provided by the health authorities (Government of Cantabria—Spain) with the permission of Medicines Ethics Committee from Cantabria (CEIm, June 2020). Geocoding allows us to provide a new point layer based on the microdata table that includes cases with a positive result in a COVID-19 test. Regarding general methodology, our research is based on Geographical Information Technologies using Environmental Systems Research Institute (ESRI) Technologies. This tool is a global reference for spatial COVID-19 research, probably due to the world-renowned COVID-19 dashboard implemented by the Johns Hopkins University team. In our analysis, we found that the spatial distribution of COVID-19 in urban locations presents a not random distribution with clustered patterns and density matters in the spread of the COVID-19 pandemic. As a result, large metropolitan areas or districts with a higher number of persons tightly linked together through economic, social, and commuting relationships are the most vulnerable to pandemic outbreaks, particularly in our case study. Furthermore, public health and geoprevention plans should avoid the idea of economic or territorial stigmatizations. We hold the idea that SITAR in particular and Geographic Information Technologies in general contribute to strategic spatial information and relevant results with a necessary multi-scalar perspective to control the pandemic.

scholarly journals Knowledge-Based Smart City Service System

Electronics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 965
Author(s):  
Giuseppe D’Aniello ◽  
Matteo Gaeta ◽  
Francesco Orciuoli ◽  
Giuseppe Sansonetti ◽  
Francesca Sorgente
Keyword(s):  
Information And Communication Technologies ◽  
Situation Awareness ◽  
Public Transportation ◽  
Smart City ◽  
Service System ◽  
Decision Makers ◽  
Knowledge Based ◽  
The Government ◽  
The Impact ◽  
The City

A smart city can be defined as a city exploiting information and communication technologies to enhance the quality of life of its citizens by providing them with improved services while ensuring a conscious use of the available limited resources. This paper introduces a conceptual framework for the smart city, namely, the Smart City Service System. The framework proposes a vision of the smart city as a service system according to the principles of the Service-Dominant Logic and the service science theories. The rationale is that the services offered within the city can be improved and optimized via the exploitation of information shared by the citizens. The Smart City Service System is implemented as an ontology-based system that supports the decision-making processes at the government level through reasoning and inference processes, providing the decision-makers with a common operational picture of what is happening in the city. A case study related to the local public transportation service is proposed to demonstrate the feasibility and validity of the framework. An experimental evaluation using the Situation Awareness Global Assessment Technique (SAGAT) has been performed to measure the impact of the framework on the decision-makers’ level of situation awareness.

Spatial Epidemiology Of Chronic Lymphocytic Leukemia and Small Lymphocytic Lymphoma In The State Of Georgia

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 1683-1683
Author(s):  
Catherine Bulka ◽  
Loretta J. Nastoupil ◽  
Jeffrey Switchenko ◽  
Kevin Ward ◽  
Rana Bayakly ◽  
...  
Keyword(s):  
Chronic Lymphocytic Leukemia ◽  
Spatial Autocorrelation ◽  
Spatial Patterns ◽  
Cancer Registry ◽  
Census Tract ◽  
Hot Spots ◽  
Research Funding ◽  
The State ◽  
Lymphocytic Leukemia ◽  
Cold Spots

Abstract Background Exploring spatial patterns of disease incidence allows for the identification of areas of elevated or decreased risk. For chronic lymphocytic leukemia and small lymphocytic leukemia (CLL/SLL), which have poorly understood etiologies, identifying spatial patterns through cluster analysis may provide insight about potential environmental and socio-demographic risk factors. Methods In order to investigate the spatial patterns of CLL/SLL incidence among adults (≥ 20 years), we linked cancer incidence data for the period 1999-2008 from the Georgia Comprehensive Cancer Registry (a CDC-supported a statewide population-based cancer registry collecting all cancer cases diagnosed among Georgia residents since 1995) with population data from the 2000 U.S. Census. CLL/SLL cases were aggregated to the census tract level. CLL/SLL incidence in Georgia was standardized indirectly by age, sex, and race to national rates obtained from SEER*Stat software. Choropleth maps were created to depict the ratio of observed to expected incidence (standardized incidence ratios [SIR]) by census tract using ArcGIS. Spatial Empirical Bayes smoothing was performed on the SIR values using GeoDa 1.01. To assess spatial correlation of SIRs, we conducted global and local cluster analyses by calculating global Moran’s I and local Moran’s I (also known as Local Indicators of Spatial Autocorrelation [LISA]) values. Cluster analyses were repeated, stratifying by age (20-59 years, 60+ years), sex, and race (Caucasian and African American). P-values less than 0.01 were considered statistically significant. Results 765 incident CLL/SLL cases occurred among adults residing in Georgia between 1999 and 2008 (Table 1). There was a positive spatial autocorrelation for cases of CLL/SLL age 60 and older indicating these cases were geographically clustered (p = 0.0010) (Table 2). The LISA cluster map of the smoothed standardized incidence ratios shows the locations of “hot-spots” (high-high clusters) and “cold-spots” (low-low clusters) with clustering of high smoothed SIRs was found in the metro-Atlanta area, Albany, Macon, and outside of Augusta while cold-spots were mostly in the southern region of the state. Conclusions Despite the low number of cases of CLL/SLL in Georgia during the 10-year period studied, we found evidence of spatial clustering among adults 60 years and above. Hot-spots of smoothed SIRs were located in the metro-Atlanta area, Albany, Macon, and near Augusta, but these varied when stratified by age, sex, and race, suggesting confounding or effect modification that warrants further investigation. Disclosures: Flowers: Spectrum: Research Funding; Celgene: Consultancy, Research Funding; Millennium/Takeda: Consultancy, Research Funding; Genentech BioOncology: Consultancy; Sanofi: Research Funding; Janssen: Research Funding; Abbott: Research Funding.

Spanish Package Holiday Tourism to China: Spatial Patterns and Tourist Attractions

2006 ◽  
Vol 8 (3) ◽  
pp. 233-252 ◽  
Author(s):  
Miguel Seguí-Llinás ◽  
Joan-Enric Capellà-Cervera
Keyword(s):  
Spatial Patterns ◽  
Tourist Attractions ◽  
Package Holiday

scholarly journals DYNAMIC TRIP PLANNER FOR PUBLIC TRANSPORT USING GENETIC ALGORITHM

Transport ◽  
2020 ◽  
Vol 35 (2) ◽  
pp. 156-167
Author(s):  
Abhishek Basu ◽  
Bharathi Raja ◽  
Rony Gracious ◽  
Lelitha Vanajakshi
Keyword(s):  
Genetic Algorithm ◽  
Real Time ◽  
Public Transport ◽  
Public Transportation ◽  
Computation Time ◽  
Time Data ◽  
Transit System ◽  
Positioning Systems ◽  
Trip Planner ◽  
Chennai City

This paper reports the development of a public transport trip planner to help the urban traveller in planning and preparing for his commute using public transportation in the city. A Genetic Algorithm (GA) approach that handles real-time Global Positioning Systems (GPS) data from buses of the Metropolitan Transport Corporation (MTC) in Chennai City (India) has been used to develop the planner. The GA has been shown to provide good solutions within the problem’s computation time constraints. The developed trip planner has been implemented for static network data first and subsequently extended to use real-time data. The “walk mode” and Chennai Mass Rapid Transit System (MRTS) have also been included in the geospatial database to extend the route-planner’s capabilities. The algorithm has subsequently been segmented to speed up the prediction process. In addition, a temporal cache has also been introduced during implementation, to handle multiple queries generated simultaneously. The results showed that there is promise for scalability and citywide implementation for the proposed real-time route-planner. The uncertainty and poor service quality perceived with public transport bus services in India could potentially be mitigated by further developments in the route-planner introduced in this paper.

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