Satisfaction Benchmark for Smart Cities

Christ, Oliver; Czarniecki, Michael; Kressig, Christian; Scherer, Lukas

doi:10.1007/978-3-319-49899-7_5

Cited by 4 publications

(6 citation statements)

References 33 publications

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“…Benchmarks are widely applied to analyse various topics: high school education system improvements (Le et al, 2021), CO 2 emissions for buildings (Jeong et al, 2021), energy consumption for buildings (Park et al, 2016;Jeong et al, 2016), mutual fund performance (Beber et al, 2021), performance of European countries in economic, social and political fields (Casagrande and Dallago, 2021), hotel service quality (Park and Lee, 2021), and autonomous vehicles security and reliability (Khadka et 2021) amongst others. Christ et al (2017) emphasised that benchmarking can be increasingly applied to municipalities when sustainable development receives greater importance. Beber et al (2021) identify benchmark creation as a work-intensive process.…”

Section: Higher Education Ratio [Max]mentioning

confidence: 99%

Assessing the European Union capitals in the context of smart sustainable cities

Lapinskaitė

Stasytytė²,

Skvarciany³

2022

OHI

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PurposeThe concept of a smart city, which is relatively new, is analysed from different aspects, including sustainability. Due to rapid urban development, smart city and sustainable city synergy has become an approach supported by the authorities. Hence, the paper aims at assessing and ranking the European Union (EU) capitals in the context of the smart sustainable city (SSC).Design/methodology/approachThe paper assesses and ranks 19 EU capitals according to 41 indicators. The assessment was done in four steps. First, each target SSC indicator was accessed for each city. Second, the scattering results of each city in the list of indicators were noted. Third, the indicators were ranked using the VIsekriterijumska optimisacija i KOmpromisno Resenje (VIKOR) method. And fourth, both scattering and ranking results were compared.FindingsThe comparison of the scattering and ranking results revealed that almost the same cities share the top ten positions. Although two cities fell out of the top ten, the overall results reinforce the reliability of the research results. Amsterdam ranked as the Number 1 SSC, and Helsinki took the second position.Originality/valueA comparison of a wide range of indicators highlights the current situation and the disparities between EU capitals. The results could help local and national authorities and policymakers increase the sustainability and smartness of cities.

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Section: Higher Education Ratio [Max]mentioning

confidence: 99%

Assessing the European Union capitals in the context of smart sustainable cities

Lapinskaitė

Stasytytė²,

Skvarciany³

2022

OHI

View full text Add to dashboard Cite

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“…In this regard, some scholars and companies designed and proposed frameworks and tools to assist in selecting KPIs and measuring city performance. A KPI-driven performance measurement system for SC by utilizing city open data was developed in [13], while [14] presented a performance dashboard for municipalities' benchmarking and suggested ways in which a SC can use ICT-derived data to improve the benchmarking process. Additionally, TM Forum (https://www.tmforum.org/ (accessed on 19 January 2020)) launched the SC Benchmark, an application based on BSI (https://www.bsigroup.com/ (accessed on 19 January 2020)) aiming to enable city managers to find and share information and best practice between cities [15], while a few scholars developed ontologies and dashboards in an attempt to identify and visualize the indicators proposed by standardization bodies [16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Urban Data Dynamics: A Systematic Benchmarking Framework to Integrate Crowdsourcing and Smart Cities’ Standardization

et al. 2021

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Urbanization and knowledge economy have highly marked the new millennium. Urbanization brings new challenges which can be addressed by the knowledge economy, which opens up scientific and technical innovation opportunities. The enhancement of cities’ intelligence has heavily impacted city transformation and sustainable decision-making based on urban data knowledge extraction. This work is motivated by the strong demand for robust standardization efforts to steer and measure city performance and dynamics, given the growing tendency of conventional cities’ transformation into smart and resilient ones. This paper revises the earlier so-called “cityDNA” framework, which was designed to detect the interrelations between the six smart city dimensions, such that a city’s profile and capacities are recognized in a systematic manner. The updated framework implements the widely accepted smart city (ISO 37120:2018) standard, along with an adaptive Web service, which processes urban data and visualizes the city’s profile to facilitate decision-making. The proposed framework offers a solid benchmarking service, at which the value of crowdsourced data is exploited for the production of urban knowledge and city transformation empowerment. The proposed benchmarking approach is tested and validated through relevant case studies and a proof-of-concept scenario, in which open data and crowdsourced data are exploited. The outcomes revealed that cities should intensify their KPI-driven data production and exploitation along with a set of solid standards for cities to enable cities with customizable scenarios enriched with indicators that reflect each city’s vibrancy.

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“…The Government of the developing countries occurs in urban growth rather than rural development [ 1 ]. It is important for a country’s economic growth and life satisfaction for both urban and permanent rural users [ 2 – 9 ]. It is also reported that well-planned urban infrastructure would bring stability to society and development quality of life inequalities [ 4 , 10 ].…”

Section: Introductionmentioning

confidence: 99%

“…Infrastructure is similarly the services offered by the government to promote domestic consumers and private investors in the country [ 14 ]. A main component of public services is social infrastructure, which is related to the quality of life of the inhabitant or Inhabitant’s Satisfaction [ 9 ], such as schooling, health care, leisure facilities, and sanitation. whereas, economic infrastructures such as electricity, roads, water, ports, public transportation, water supply, drainage, flood control, sewerage, power supply, street lighting and telecommunications are used to manage commercial consumer goods [ 14 , 15 ] also directly or indirectly related to inhabitants satisfaction.…”

Section: Introductionmentioning

confidence: 99%

“…Although research relating to the satisfaction of communities at a single city level are focused on affluence. The infrastructure’s excellence can be assessed from the residents because they had developed the standard in their minds and their attitude towards infrastructural services [ 6 , 9 , 35 ]. For this reason, the present study opens the effort to segregate the satisfaction of the citizens with the permanent infrastructure between different levels of the region.…”

Section: Introductionmentioning

confidence: 99%

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Discrimination of Inhabitant Satisfaction with the Public Infrastructure Between Region and Various Income Groups in Punjab, Pakistan

Hassan

Iqbal

Hassan

et al. 2021

The Importance of New Technologies and Entrepreneurship in Business Development: In the Context of Economic Diversity in Develo

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In the prevailing circumstances, an analysis of residents’ satisfaction with the quality of public infrastructure is essential in determining the degree of contentment of society. The aim of this study is to determine the degree of serenity of the inhabitant with the different public infrastructure provided for their use. This assessment is based on different regional and income classes in the province of Punjab, Pakistan. The stratified random sampling technique is used to explain such regional economic segregation by selecting 14 out of 36 districts in Punjab, Pakistan. A total of 1500 people from large, medium and small districts are interviewed. Multinomial logistic regression and study of the Chi-square tests were adopted. We see that the satisfaction of the population with the facilities (education, health, electricity, transport, water and sanitation) varies considerably within the region and the income classes. The government must therefore adopt a realistic strategy for balanced growth between the various regions and implement a labor-intensive project in small districts.

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Satisfaction Benchmark for Smart Cities

Cited by 4 publications

References 33 publications

Assessing the European Union capitals in the context of smart sustainable cities

Assessing the European Union capitals in the context of smart sustainable cities

Urban Data Dynamics: A Systematic Benchmarking Framework to Integrate Crowdsourcing and Smart Cities’ Standardization

Discrimination of Inhabitant Satisfaction with the Public Infrastructure Between Region and Various Income Groups in Punjab, Pakistan

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