scholarly journals Smart Urban Mobility System Evaluation Model Adaptation to Vilnius, Montreal and Weimar Cities

2022 ◽  
Vol 14 (2) ◽  
pp. 715
Author(s):  
Simona Zapolskytė ◽  
Martin Trépanier ◽  
Marija Burinskienė ◽  
Oksana Survilė
Keyword(s):  
Smart City ◽  
Evaluation Model ◽  
Evaluation Methods ◽  
Urban Mobility ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Mobility System ◽  
Smart Mobility ◽  
Simple Additive Weighting ◽  
Hierarchical Evaluation

To date, there is no developed and validated way to assess urban smartness. When evaluating smart city mobility systems, different authors distinguish different indicators. After analysing the evaluation indicators of the transport system presented in the scientific articles, the most relevant and influential indicators were selected. This article develops a hierarchical evaluation model for evaluating a smart city transportation system. The indicators are divided into five groups called “factors”. Several indicators are assigned to each of the listed groups. A hybrid multi-criteria decision-making (MCDM) method was used to calculate the significance of the selected indicators and to compare urban mobility systems. The applied multi-criteria evaluation methods were simple additive weighting (SAW), complex proportional assessment (COPRAS), and technique for order preference by similiarity to ideal solution (TOPSIS). The significance of factors and indicators was determined by expert evaluation methods: the analytic hierarchy process (AHP), direct, when experts evaluate the criteria as a percentage (sum of evaluations of all criteria 100%) and ranking (prioritisation). The evaluation and comparison of mobility systems were performed in two stages: when the multi-criteria evaluation is performed according to the indicators of each factor separately and when performing a comprehensive assessment of the smart mobility system according to the integrated significance of the indicators. A leading city is identified and ranked according to the smartness level. The aim of this article is to create a hierarchical evaluation model of the smart mobility systems, to compare the smartness level of Vilnius, Montreal, and Weimar mobility systems, and to create a ranking.

scholarly journals Multi-Criteria Evaluation of Site Selection for Smart Community Demonstration Projects

Smart Cities ◽  
2022 ◽  
Vol 5 (1) ◽  
pp. 22-33
Author(s):  
Ming-Shiu Sung ◽  
Shen-Guan Shih ◽  
Yeng-Horng Perng
Keyword(s):  
Site Selection ◽  
Smart City ◽  
Smart Cities ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Selection For ◽  
Smart Community

Definition and imagination of an ideal city can be traced back to the origin of garden city in UK about 100 years ago. Since then, many different names and topics have been proposed and smart city is the one most recently proposed. Starting from 2000, more and more countries have developed various demonstration projects for the promotion of smart city in order to provide total solution for the promotion of sustainable development and social welfare. In fact, some of them have been successfully carried out. Some researchers in Taiwan argue that the current mechanism by which government subsidies are allocated for smart city demonstration projects warrants improvement. A comprehensive literature review determined that the development potential of smart cities should be prioritized in site selection for such demonstration projects. This study developed an evaluation framework on the basis of multi-criteria evaluation methods to enable the identification of suitable smart city demonstration sites. Evaluation criteria were first identified through the Delphi method. Next, the weights of each criterion were derived through the analytic hierarchy process. Furthermore, the capability of the proposed evaluation model was determined through simulation testing. Four demonstration sites are simulated, they are: Taipower Smart Community, Yinlin Technology University campus, Taichung Creative Cultural Park, and Asian New Bay Area in Kaohsiung, It is expected that the research findings in this thesis can be helpful to the future decision for the demo site selection of smart city.

scholarly journals Multi-Criteria Performance Evaluation System in the Industrial Heritage Reuse Plan

2021 ◽  
Vol 943 (1) ◽  
pp. 012034
Author(s):  
C K Weng ◽  
C F Lai ◽  
Y C Chien ◽  
W C Yeh
Keyword(s):  
Performance Evaluation ◽  
Evaluation System ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Influencing Factor ◽  
Analytic Hierarchy ◽  
Industrial Heritage ◽  
Multi Criteria Evaluation ◽  
The Hierarchical Structure ◽  
Major Factors

Abstract Industrial heritage is unique in terms of its patterns, reuse characteristics, economic relevance and social operations. Under the government’s “Industrial Heritage Regeneration Project”, a menu of outcome/performance assessments have been in practice and have evolved. This paper combines expert methods, the Analytic Hierarchy Process, and the Multi-criteria Evaluation Method, along with qualitative and quantitative data, to clarify the hierarchical structure and weight of factors that influence outcome/performances. The research purpose is to establish an integrated multi-criteria performance evaluation model for the reuse of industrial heritage. The findings identify a long list of factors by crossing the four major factors concerning the reuse of industrial heritage, namely regeneration creativity, operational management, implementation effectiveness and sustainable developments. Regeneration creativity is considered as the most important element, and the presentation of thematic plans and characteristics is the most important influencing factor. It is suggested that clarifications should be made concerning the factors that affect different facets in the execution of reuse initiatives. The research findings can serve as a reference for decision-making in reuse and development by reflecting the culture and value for the reuse and implementations of industrial heritage.

scholarly journals MAIN CRITERIA IN THE DEVELOPMENT OF SMART CITIES DETERMINED USING ANALYTICAL METHOD

2016 ◽  
Vol 14 ◽  
Author(s):  
Zurinah Tahir ◽  
Jalaluddin Abdul Malek
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Modern Technology ◽  
Strategic Decisions ◽  
Analytic Hierarchy ◽  
Technological Infrastructure ◽  
The Status ◽  
Smart Mobility ◽  
Smart Governance

A smart city is one that is highly developed, innovative, environment-friendly, and incorporates relevant aspects of the economy, technology, mobility, quality of life and other aspects that contribute to the well-being of its residents. To achieve the status of a smart city, several requirements, criteria or indicators need to be considered. Strategic decisions by planners of a smart city play an important role in determining how the city uses resources and opportunities through the harnessing of modern technology to build a framework of innovation that nurtures a healthy society in an economy that is dynamic and environment-conscious. Smart cities focus on various elements of humanity, learning, the environment, technological infrastructure, social development, and urban growth. The aim of this study is to examine these requisites of a smart city, and to use the Analytic Hierarchy Process (AHP) methodology in assigning weightage to each element that is considered essential to its development. Smart environment and smart mobility were found to be the top two important factors in the successful building of a smart city. The actual values that shape smart cities are based on a balance of factors such as smart environmental practices, smart governance, smart living, smart mobility, smart people, and smart economy. These principal key elements work together to exploit the technologies that help bring about the realization of a smart city.

scholarly journals TINGKAT KESIAPAN KOTA SURAKARTA TERHADAP DIMENSI MOBILITAS CERDAS (SMART MOBILITY) SEBAGAI BAGIAN DARI KONSEP KOTA CERDAS (SMART CITY)

2015 ◽  
Vol 6 (2) ◽  
pp. 34
Author(s):  
Alfariani Pratiwi ◽  
Soedwiwahjono Soedwiwahjono ◽  
Ana Hardiana
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Smart City ◽  
Transport Systems ◽  
City Management ◽  
Urban Mobility ◽  
Sustainable Transport ◽  
Technology Infrastructure ◽  
Information And Communication ◽  
Smart Mobility

<p><em>The city has a problem that often arises due to the construction of their own city. To prevent that, city management needs through a sustainable approach to the concept of planning. Now, the concept of smart city is developing, where several major cities in Indonesia have started implementing the concept. Surakarta be a pioneer in the use of technology of transportation commonly called Intelligent Transport Systems(ITS). Surakarta indicated to apply the concept of smart city. Together with Indosat, subsidiary of PT. Starone Partner Telecommunications (SMT) cooperate to apply the concept of smart city in Surakarta for example, e-transportation. E-transportation similar to the principle of smart mobility in the theory of smart city. Howerver not only the application of smart mobility technology, but also need to look at the aspects that provide comfort, security, and sustainability.</em></p><p><em>This study wanted to see the level of readiness of Surakarta to smart mobility dimension as part of the smart city concept. The aspects of this research are local accessibility, international accessibility, multi-modal access, information and communication technology infrastructure supporting urban mobility, sustainable transport and safety. The analytical method used in this research is the analysis technique of scoring which  assess the readiness of each aspect and the overall readiness. The results showed that Surakarta belongs to the category ready but conditional on the application of smart mobility. This means Surakarta need to do several requirements either repair or procurement in some aspects. Aspects that have been prepared but has some requirements which need to be done are the aspect of local accessibility, international accessibility, multi-modal access, and information and communication technology infrastructure supporting urban mobility. Sustainable transport and safety aspects belong to the category not ready to support the implementation of smart mobility in Surakarta.</em></p><p><em> </em></p><p><strong><em>Keywords</em></strong><em>: smart city, smart mobility, smart transportation</em></p>

scholarly journals SMART MOBILITY IN SMART CITIES

2016 ◽  
Author(s):  
Neus Baucells Aletà
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Evaluation Model ◽  
Grading Scale ◽  
Smart Mobility ◽  
The City ◽  
Sociodemographic Indicators

Cities are currently undergoing a transformation into the Smart concept, like Smartphones or SmartTV. Many initiatives are being developed in the framework of the Smart Cities projects, however, there is a lack of consistent indicators and methodologies to assess, finance, prioritize and implement this kind of projects. Smart Cities projects are classified according to six axes: Government, Mobility, Environment, Economy, People and Living. (Giffinger, 2007) The main objective of this research is to develop an evaluation model in relation to the mobility concept as one of the six axes of the Smart City classification and apply it to the Spanish cities. The evaluation was carried out in the 62 cities that made up in September 2015 the Spanish Network of Smart Cities (RECI- Red Española de Ciudades Inteligentes). This research is part of a larger project about Smart Cities’ evaluation (+CITIES), the project evaluates RECI’s cities in all the axes. The analysis was carried out taking into account sociodemographic indicators such as the size of the city or the municipal budget per inhabitant. The mobility’s evaluation in those cities has been focused in: sustainability mobility urban plans and measures to reduce the number of vehicles. The 62 cities from the RECI have been evaluated according to their degree of progress in several Smart Cities’ initiatives related to smart mobility. The applied methodology has been specifically made for this project. The grading scale has different ranks depending on the deployment level of smart cities’ initiatives.DOI: http://dx.doi.org/10.4995/CIT2016.2016.3485

Application of Operations Research in Management

2013 ◽  
Vol 457-458 ◽  
pp. 1648-1652
Author(s):  
Yong Zhou ◽  
Jing Qi
Keyword(s):  
Graduate Education ◽  
Operations Research ◽  
Financial Management ◽  
Evaluation Model ◽  
Decision Problems ◽  
Limited Resources ◽  
Analytic Hierarchy ◽  
Hierarchical Evaluation ◽  
The University ◽  
Hierarchy Process

Operations research as a branch of comprehensive and multidisciplinary cross science, there are two types of decision problems. The first one is how to make use of resource to fulfill the tasks as much as possible. The other one is how to Using the least amount of resources to complete a certain task. The planning model about resource utilization in the factory is built through the investigation and analysis. It uses limited resources to complete the production task at most. In the actual problems of the university financial management and daily life, multi-target optimization is necessary. Analytic hierarchy process is used to built Hierarchical evaluation model and make decision of how to select school for graduate education.

scholarly journals Multi-Criteria Evaluation of Site Selection for Smart Community Demonstration Projects

2021 ◽  
Author(s):  
Ming-Shiu Sung ◽  
Shen-Guan Shih ◽  
Yeng-Horng Perng
Keyword(s):  
Site Selection ◽  
Smart Cities ◽  
Evaluation Model ◽  
Evaluation Criteria ◽  
Evaluation Framework ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Simulation Testing ◽  
Selection For ◽  
Smart Community

Some researchers in Taiwan argue that the current mechanism by which government subsidies are allocated for smart city demonstration projects warrants improvement. A comprehensive literature review determined that the development potential of smart cities should be prioritized in site selection for such demonstration projects. This study developed an evaluation framework on the basis of multi-criteria evaluation methods to enable the identification of suitable smart community demonstration sites. Evaluation criteria were first identified through the Delphi method. Next, the weights of each criterion were derived through the analytic hierarchy process. Furthermore, the capability of the proposed evaluation model was determined through simulation testing.

scholarly journals ALGORITHM FOR CHOOSING TRACTION ROLLING-STOCK FOR RAILWAY LINE RAIL BALTICA / PREKINIŲ ŠILUMVEŽIŲ MAGISTRALEI „RAIL BALTICA“ PARINKIMO ALGORITMAS

2012 ◽  
Vol 4 (4) ◽  
pp. 386-390 ◽  
Author(s):  
Stasys Steišūnas ◽  
Gintautas Bureika
Keyword(s):  
Geometric Mean ◽  
Freight Transportation ◽  
Weight Coefficient ◽  
Evaluation Methods ◽  
Rolling Stock ◽  
Technical Data ◽  
Railway Line ◽  
Multi Criteria Evaluation ◽  
Ecological Aspects ◽  
Simple Additive Weighting

The article analyses traction rolling-stock for freight transportation presently used by AB Lietuvos geležinkeliai. The paper explores and compares technical data on the above mentioned rolling-stock and estimates exploitation expenses. Following an assessment of forecasting freight flows on the future railway line Rail Baltica, an algorithm for selecting traction rolling-stock is proposed. The efficiency of locomotives operating on the railway is determined taking into account three multi-criteria evaluation methods: the sum of ratings, simple additive weighting and geometric mean method. Locomotives are estimated in accordance with technical, economic and ecological aspects. The results of possible performance efficiency of rolling stock have been determined changing weight coefficient values of the criteria. Santrauka Straipsnyje nagrinėjami šiuo metu AB ,,Lietuvos geležinkeliai“ kroviniams vežti naudojami traukos riedmenys: analizuojami ir lyginami techniniai duomenys, vertinamos eksploatavimo sąnaudos. Įvertinus krovinių srautų prognozes tiesiamoje ,,Rail Baltica“ geležinkelio magistralėje, pasiūlytas traukos riedmenų kroviniams vežti parinkimo algoritmas. Šilumvežių šioje magistralėje naudojimo efektyvumas nustatomas trimis daugiakriterio įvertinimo metodais: vietų sumos metodu, rodiklių įverčio metodu ir geometrinio vidurkio metodu. Šilumvežiai vertinami techniniais, ekonominiais ir ekologiniais aspektais. Keičiant kriterijų svarbos koeficientų reikšmes, nustatyti skirtingi riedmenų panaudojimo efektyvumo rezultatai.

scholarly journals MAIN CRITERIA IN THE DEVELOPMENT OF SMART CITIES DETERMINED USING ANALYTICAL METHOD

2016 ◽  
Vol 14 (5) ◽  
Author(s):  
Zurinah Tahir ◽  
Jalaluddin Abdul Malek
Keyword(s):  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Modern Technology ◽  
Strategic Decisions ◽  
Analytic Hierarchy ◽  
Technological Infrastructure ◽  
The Status ◽  
Smart Mobility ◽  
Smart Governance

A smart city is one that is highly developed, innovative, environment-friendly, and incorporates relevant aspects of the economy, technology, mobility, quality of life and other aspects that contribute to the well-being of its residents. To achieve the status of a smart city, several requirements, criteria or indicators need to be considered. Strategic decisions by planners of a smart city play an important role in determining how the city uses resources and opportunities through the harnessing of modern technology to build a framework of innovation that nurtures a healthy society in an economy that is dynamic and environment-conscious. Smart cities focus on various elements of humanity, learning, the environment, technological infrastructure, social development, and urban growth. The aim of this study is to examine these requisites of a smart city, and to use the Analytic Hierarchy Process (AHP) methodology in assigning weightage to each element that is considered essential to its development. Smart environment and smart mobility were found to be the top two important factors in the successful building of a smart city. The actual values that shape smart cities are based on a balance of factors such as smart environmental practices, smart governance, smart living, smart mobility, smart people, and smart economy. These principal key elements work together to exploit the technologies that help bring about the realization of a smart city.

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