scholarly journals GIS Based Route Network Analysis for Tourist Places : A Case Study Of Greater Imphal

Author(s):  
T. Prameshwori ◽  
Wangshimenla. J ◽  
L. Surjit ◽  
L. Ramananda

Greater Imphal area, located in the central part of Manipur that classified as a valley area. Greater Imphal area has the potential as a new tourism attraction within its Greater Imphal. ArcGIS network analysis provides to build the most efficient travel route, generating travel directions, locating the closest facility and defining service area based on travel time and distance covered which will help an opportunity in development of tourism. Using GIS technology it is possible to visit different tourist sites effectively with a deliberate decision. The present study aims to explore the GIS based network analysis in defining the optimal route and services such as hospital, shopping centre, market areas and universities that located in Greater Imphal area for the tourist destination. Route analysis capabilities of GIS are done on the basis of estimate travelling time and distance in terms of time through a network. It is shown that using GIS in routing help a powerful ability for network analysis, management of shortest and closest facility analysis which benefits users to provide optimum planning for tourism.

Author(s):  
D. K. Meena ◽  
R. Tripathi ◽  
S. Agrawal

Abstract. Using the Geographic Information System (GIS) technology, transportation and network analysis has become a straightforward application. An underlying problem in transportation and network analysis is to find optimal paths between different locations from sources to destination on a network. Sometimes this optimal path between source to destination has to be done in real-time. Several optimal path algorithms have been proposed by the researchers based on single parameter problem. In this paper, a multi-parameters based optimal path solution is proposed using GIS software for the travelling of children to schools. For these rural schools of Bara tehsil of Prayagraj district in India is selected. Three different parameters are taken to find the optimal path which is population density-based, travelling distance-based and travelling time-based optimal path. The developed optimum path is the least cost and satisfied by the other technical, environmental, economic and social criteria. This paper provides a solution if the government need to apply any policy that needs to visit each school. This paper will help the government in land management. On the basis of this paper, government can find schools which are not connected with road and can plan a new road to connect each school by road.


Public Voices ◽  
2016 ◽  
Vol 11 (1) ◽  
pp. 89
Author(s):  
Amy Probsdorfer Kelley ◽  
John C. Morris

The process to win approval to build a national memorial on the National Mall inWashington, DC is both long and complex. Many memorials are proposed, but few are chosen to inhabit the increasingly scarce space available on the Mall. Through the use of network analysis we compare and contrast two memorial proposals, with an eye toward understanding why one proposal was successful while the other seems to have failed. We conclude that the success of a specific memorial has less to do with the perceived popularity of the person or event to be memorialized, and more to do with how the sponsors use the network of people and resources available to advocate for a given proposal.


2021 ◽  
pp. 146144482110221
Author(s):  
Tamas Tofalvy ◽  
Júlia Koltai

In this article, we argue that offline inequalities, such as core–periphery relations of the music industry, are reproduced by streaming platforms. First, we offer an overview of the reproduction of inequalities and core–periphery dynamics in the music industry. Then we illustrate this through a small-scale network analysis case study of Hungarian metal bands’ connections on Spotify. We show that the primary determinant of a given band’s international connectedness in Spotify’s algorithmic ecosystem is their international label connections. Bands on international labels have more reciprocal international connections and are more likely to be recommended based on actual genre similarity. However, bands signed with local labels or self-published tend to have domestic connections and to be paired with other artists by Spotify’s recommendation system according to their country of origin.


2019 ◽  
Vol 5 (1) ◽  
pp. 444-467
Author(s):  
Katherine A. Crawford

AbstractOstia, the ancient port of Rome, had a rich religious landscape. How processional rituals further contributed to this landscape, however, has seen little consideration. This is largely due to a lack of evidence that attests to the routes taken by processional rituals. The present study aims to address existing problems in studying processions by questioning what factors motivated processional movement routes. A novel computational approach that integrates GIS, urban network analysis, and agent-based modelling is introduced. This multi-layered approach is used to question how spectators served as attractors in the creation of a processional landscape using Ostia’s Campo della Magna Mater as a case study. The analysis of these results is subsequently used to gain new insight into how a greater processional landscape was created surrounding the sanctuary of the Magna Mater.


2021 ◽  
Vol 10 (7) ◽  
pp. 491
Author(s):  
Manuel Curado ◽  
Rocio Rodriguez ◽  
Manuel Jimenez ◽  
Leandro Tortosa ◽  
Jose F. Vicent

Taking into account that accessibility is one of the most strategic and determining factors in economic models and that accessibility and tourism affect each other, we can say that the study and improvement of one of them involved the development of the other. Using network analysis, this study presents an algorithm for labeling the difficulty of the streets of a city using different accessibility parameters. We combine network structure and accessibility factors to explore the association between innovative behavior within the street network, and the relationships with the commercial activity in a city. Finally, we present a case study of the city of Avila, locating the most inaccessible areas of the city using centrality measures and analyzing the effects, in terms of accessibility, on the commerce and services of the city.


2005 ◽  
Vol 37 (5) ◽  
pp. 895-907 ◽  
Author(s):  
Ari Goelman

My research explores the question: how can theorists better understand the ways in which planning technologies are used by municipal planners? In the case-study municipality, a recently introduced web-GIS technology had little demonstrable success in attaining two of its stated goals: enabling increased public access to municipal geographic information and encouraging planners to produce their own maps. My research links these outcomes not only to the technologies themselves, but to organizational structure and human agency. Planners and planning theorists can gain additional insight into the impact of planning technologies through closer attention to the process through which planners come to use information technologies and the way this process both alters and is constrained by existing organizational constraints, including previously adopted technologies.


2015 ◽  
Vol 6 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Iraj Mohammadfam ◽  
Susan Bastani ◽  
Mahbobeh Esaghi ◽  
Rostam Golmohamadi ◽  
Ali Saee

2017 ◽  
Vol 33 (4) ◽  
pp. 1369-1384 ◽  
Author(s):  
David Lallemant ◽  
Henry Burton ◽  
Luis Ceferino ◽  
Zach Bullock ◽  
Anne Kiremidjian

This study proposes a framework for incorporating time-dependent fragility into large-scale risk assessment models, focusing on incremental building expansion as a significant driver of changes in vulnerability. In rapidly urbanizing areas in developing countries, the pay-as-you-go process of informal building construction and staged expansion is the de facto pattern of growth. While there is a common understanding that such expansions increase the earthquake vulnerability of buildings, this study proposes a framework to model and quantify this increase. Vulnerability curves are developed through incremental dynamic structural analysis for common building expansion typologies. Building expansions are modeled as Markov chain processes and used to simulate stochastic expansion sequences over a building's lifetime. The model is then used to simulate a hypothetical neighborhood in the Kathmandu valley area to understand neighborhood-level risk over time. The study provides a new methodology to analyze changing seismic risk over time, driven by any building modification that impacts the building's vulnerability (incremental expansion, deterioration, retrofit, etc.).


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