The rebirth of urban subcenters: How subway expansion impacts the spatial structure and mix of amenities in European cities

Why do some neighborhoods thrive, and others do not? While the importance of the local amenity mix has been established as a key determinant of local livability, its link to urban transport infrastructure remains understudied, partially due to a lack of data. Using spatiotemporal social media data from Foursquare, we analyze the impact of metro stations which opened between 2014 and 2017 on the amenity mix of surrounding neighborhoods in nine European cities: Rome, Milan, Barcelona, Budapest, Warsaw, Sofia, Vienna, Helsinki, and Stuttgart. Thereby, we study three properties of the local amenity mix: its density, multifunctionality, and the heterogeneity between amenity types. For this purpose, we propose a new measurement of multifunctionality, which calculates the entropy of the locally present amenity set incorporating the degree of similarity between amenity types. For causal inference, we use Difference-in-Difference Regression based on Propensity Score Matching and Entropy Balancing. Our findings show that in most cities, subway expansion had a significant positive impact on the local amenity density and multifunctionality and that especially the social amenities—Arts & Entertainment, Restaurants and Nightlife—responded strongly. Moreover, considerable agglomeration forces seem to prevail, causing existing subcenters to benefit most from new metro stations.

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Social Media to Social Media Analytics

International Journal of Technoethics ◽

10.4018/ijt.2019070104 ◽

2019 ◽

Vol 10 (2) ◽

pp. 57-70 ◽

Cited By ~ 4

Author(s):

Vikas Kumar ◽

Pooja Nanda

Keyword(s):

Social Media ◽

Social Media Analytics ◽

Social Media Data ◽

Ethical Concerns ◽

Ethical Implications ◽

The Social ◽

Social Media Platforms ◽

The Individual ◽

The Impact ◽

Media Data

With the amplification of social media platforms, the importance of social media analytics has exponentially increased for many brands and organizations across the world. Tracking and analyzing the social media data has been contributing as a success parameter for such organizations, however, the data is being poorly harnessed. Therefore, the ethical implications of social media analytics need to be identified and explored for both the organizations and targeted users of social media data. The present work is an exploratory study to identify the various techno-ethical concerns of social media engagement, as well as social media analytics. The impact of these concerns on the individuals, organizations, and society as a whole are discussed. Ethical engagement for the most common social media platforms has been outlined with a number of specific examples to understand the prominent techno-ethical concerns. Both the individual and organizational perspectives have been taken into account to identify the implications of social media analytics.

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Determining social media impact on the politics of developing countries using social network analytics

Program electronic library and information systems ◽

10.1108/prog-02-2016-0011 ◽

2016 ◽

Vol 50 (4) ◽

pp. 481-507 ◽

Cited By ~ 15

Author(s):

Collins Udanor ◽

Stephen Aneke ◽

Blessing Ogechi Ogbuokiri

Keyword(s):

Social Media ◽

Developing Countries ◽

Developing Economies ◽

General Election ◽

Typical Application ◽

Social Media Data ◽

Content Type ◽

The Social ◽

The Impact ◽

Media Data

Purpose The purpose of this paper is to use the Twitter Search Network of the Apache NodeXL data discovery tool to extract over 5,000 data from Twitter accounts that twitted, re-twitted or commented on the hashtag, #NigeriaDecides, to gain insight into the impact of the social media on the politics and administration of developing countries. Design/methodology/approach Several algorithms like the Fruchterman-Reingold algorithm, Harel-Koren Fast Multiscale algorithm and the Clauset-Newman-Moore algorithms are used to analyse the social media metrics like betweenness, closeness centralities, etc., and visualize the sociograms. Findings Results from a typical application of this tool, on the Nigeria general election of 2015, show the social media as the major influencer and the contribution of the social media data analytics in predicting trends that may influence developing economies. Practical implications With this type of work, stakeholders can make informed decisions based on predictions that can yield high degree of accuracy as this case. It is also important to stress that this work can be reproduced for any other part of the world, as it is not limited to developing countries or Nigeria in particular or it is limited to the field of politics. Social implications Increasingly, during the 2015 general election, citizens have taken over the blogosphere by writing, commenting and reporting about different issues from politics, society, human rights, disasters, contestants, attacks and other community-related issues. One of such instances is the #NigeriaDecides network on Twitter. The effect of these showed in the opinion polls organized by the various interest groups and media houses which were all in favour of GMB. Originality/value The case study the authors took on the Nigeria’s general election of 2015 further strengthens the fact that the developing countries have joined the social media race. The major contributions of this work are that policy makers, politicians, business managers, etc. can use the methods shown in this work to harness and gain insights from Big Data, like the social media data.

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Using social media data to map the areas most affected by ISIS in Syria

Proceedings of the International conference “InterCarto/InterGIS” ◽

10.35595/2414-9179-2020-1-26-464-470 ◽

2020 ◽

Vol 26 (1) ◽

pp. 464-470

Author(s):

Mohamad Hasan

Keyword(s):

Social Media ◽

Language Processing ◽

Geographical Information ◽

Data Mapping ◽

Islamic State ◽

Social Media Data ◽

The Social ◽

Mapping Process ◽

Data Source ◽

Media Data

This paper presents a model to collect, save, geocode, and analyze social media data. The model is used to collect and process the social media data concerned with the ISIS terrorist group (the Islamic State in Iraq and Syria), and to map the areas in Syria most affected by ISIS accordingly to the social media data. Mapping process is assumed automated compilation of a density map for the geocoded tweets. Data mined from social media (e.g., Twitter and Facebook) is recognized as dynamic and easily accessible resources that can be used as a data source in spatial analysis and geographical information system. Social media data can be represented as a topic data and geocoding data basing on the text of the mined from social media and processed using Natural Language Processing (NLP) methods. NLP is a subdomain of artificial intelligence concerned with the programming computers to analyze natural human language and texts. NLP allows identifying words used as an initial data by developed geocoding algorithm. In this study, identifying the needed words using NLP was done using two corpora. First corpus contained the names of populated places in Syria. The second corpus was composed in result of statistical analysis of the number of tweets and picking the words that have a location meaning (i.e., schools, temples, etc.). After identifying the words, the algorithm used Google Maps geocoding API in order to obtain the coordinates for posts.

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Impact of the Peace Agreement on the social determinants of health in Colombia

Revista Brasileira de Enfermagem ◽

10.1590/0034-7167-2020-0892 ◽

2021 ◽

Vol 74 (2) ◽

Author(s):

Edna Johana Mondragón-Sánchez ◽

Reinaldo Gutiérrez Barreiro ◽

Marcos Venícios de Oliveira Lopes ◽

Ana Karina Bezerra Pinheiro ◽

Priscila de Souza Aquino ◽

...

Keyword(s):

Social Determinants Of Health ◽

Social Determinants ◽

Social Inequalities ◽

Positive Impact ◽

Peace Process ◽

Determinants Of Health ◽

Structural Determinants ◽

Peace Agreement ◽

The Social ◽

The Impact

ABSTRACT Objectives: to analyze the impact of the Colombian Peace Agreement on the structural social determinants of health. Methods: a descriptive, ecological study, based on documentary data from 2008 to 2018. The records of victims, epidemiological indicators, and structural social determinants of health in Colombia were analyzed. Results: there was a correlation between the period in which the Peace Agreement process was developed and the indicators of structural determinants in health with p<0.05. With the Poisson regression analysis, the favorable correlations between the peace process and the determinants were confirmed, besides allowing the understanding of the changes in these indicators before the Peace Agreement. Conclusions: the implementation of the peace process has a positive impact on structural social determinants of health, which is observed by the beginning of the decrease of economic, educational, health, and social inequalities and inequities, a fact that offers the possibility of living in peace.

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DAMPAK PERUSAHAAN KELAPA SAWIT TERHADAP KONDISI SOSIAL EKONOMI MASYARAKAT (Studi Kasus PT. Prima Mitrajaya Mandiri di Desa Loleng Kecamatan Kota Bangun Kabupaten Kutai Kartanegara) (The Impact of Oil Palm Company on Social Economic Condition of Community (Case Study PT. Prima Mitrajaya Mandiri in Loleng Village Kota Bangun Subdistrict Kutai Kartanegara District))

JURNAL AGRIBISNIS DAN KOMUNIKASI PERTANIAN (Journal of Agribusiness and Agricultural Communication) ◽

10.35941/jakp.3.2.2020.3314.63-70 ◽

2020 ◽

Vol 3 (2) ◽

pp. 63

Author(s):

ULVA NUR HIDAYAH ◽

NIKE WIDURI ◽

SYARIFAH MARYAM

Keyword(s):

Oil Palm ◽

Economic Condition ◽

Social Economic ◽

Positive Impact ◽

Descriptive Analysis ◽

Living Standards ◽

The Social ◽

Business Opportunities ◽

The Impact

The establishment of oil palm companies let impact on society. The purpose of this study was to know the social and economic impact of the establishment of oil palm company on the community. This research was conducted from May to July 2019 in Loleng Village, Kota Bangun District, Kutai Kartanegara District. Oil palm company exists in there namely PT. Prima Mitrajaya Mandiri. Number of respondents was as many as 44 respondents divided into two parts, namely 22 respondents are residing close to the company and 22 respondents are living far away from the company. The method of data analysis that used was descriptive analysis. The research results showed that oil palm company let positive impact on the community who live near to the company. The establishment of company opens employment opportunities, increases people's living standards, and opens business opportunities. The company gives many help for community lives near the company such as financial assistance to orphans, school repair assistance, and road repair assistance. People who live far away from the company did not have the positive impact.

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The impact of culture on millennials' attitudes towards luxury brands: evidence from Tokyo and Shanghai

Asia Pacific Journal of Marketing and Logistics ◽

10.1108/apjml-07-2021-0468 ◽

2022 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Cheng Lu ◽

Zhencong Sang ◽

Kun Song ◽

Kazuo Kikuchi ◽

Ippei Machida

Keyword(s):

Social Identity ◽

Peer Influence ◽

Positive Impact ◽

Cross Cultural ◽

Mediating Effect ◽

Luxury Brands ◽

Content Type ◽

The Social ◽

The Cross ◽

The Impact

PurposeBased on the theory of social identity mechanism, this study aimed to investigate the associations with millennial consumers' need for uniqueness (NFU), susceptibility to peer influence (SPI) and attitudes towards luxury brands (ALB) under the cross-cultural context. The mediating effect of fashion innovativeness (FI) and the moderating effect of culture were examined.Design/methodology/approachThe data for this study were collected through a survey from 217 millennials in Shanghai and 268 millennials in Tokyo. Moderation analysis and mediation analysis using Hayes PROCESS macro were applied to test proposed hypotheses.FindingsResults show that NFU and SPI have a significantly positive effect on millennials' ALB, and fashion innovativeness plays a mediating role in this process. Furthermore, the positive impact of NFU on millennials' ALB for relatively individualistic cities (Shanghai) is stronger than for relatively collectivist cities (Tokyo). The positive impact of susceptibility to informative influence (SII) on millennials' ALB for Tokyo is stronger than for Shanghai.Practical implicationsThe research results suggest how different cultures can support marketers in effectively carrying out their business strategy.Originality/valueUnder the cross-cultural background, the social identity mechanism behind the attitudes of millennials towards luxury brands has been widely recognised. However, little is known about how culture could moderate the social identity mechanism behind millennials' ALB. By analysing these mechanisms, this study compares the cultures of Shanghai and Tokyo and expands the previous research achievements.

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Do Social Media Matter? Initial Empirical Evidence

Journal of Information Systems ◽

10.2308/isys-50995 ◽

2014 ◽

Vol 29 (2) ◽

pp. 51-70 ◽

Cited By ~ 17

Author(s):

Hui Du ◽

Wei Jiang

Keyword(s):

Social Media ◽

Firm Performance ◽

Positive Impact ◽

Data Availability ◽

Social Media Platform ◽

Media Technologies ◽

The Social ◽

Media Platform ◽

Social Media Presence ◽

The Impact

ABSTRACT This paper examines the association between firm performance and social media. Based on a sample of S&P 1500 firms, the study finds that firms with a social media presence are more highly valued by the market and have higher future financial performance. Further analysis indicates that the impact of social media on firm performance varies depending on the social media platform involved. Finally, using a restricted sample of Global 100 firms, the study finds some evidence that a higher level of social media engagement is associated with higher firm performance. Overall, these findings provide consistent evidence of the positive impact of social media technologies on firm performance. Data Availability: All data are available from public sources.

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A Sentiment Analysis and Role of Twitter for Health Communications

10.4018/978-1-7998-8421-7.ch011 ◽

2022 ◽

pp. 188-205

Author(s):

Erkan Çiçek ◽

Uğur Gündüz

Keyword(s):

Social Media ◽

Crisis Management ◽

Semantic Analysis ◽

Social Media Data ◽

Global Pandemic ◽

The Difference ◽

Textual Content ◽

The Impact ◽

Media Data

Social media has been in our lives so much lately that it is an undeniable fact that global pandemics, which constitute an important part of our lives, are also affected by these networks and that they exist in these networks and share the users. The purpose of making this hashtag analysis is to reveal the difference in discourse and language while analyzing Twitter data and to evaluate the effects of a global pandemic crisis on language, message, and crisis management with social media data. This form of analysis is typically completed through amassing textual content data then investigating the “sentiment” conveyed. Within the scope of the study, 11,300 Twitter messages posted with the #stayhome hashtag between 30 May 2020 and 6 June 2020 were examined. The impact and reliability of social media in disaster management could be questioned by carrying out a content analysis based totally on the semantic analysis of the messages given on the Twitter posts with the phrases and frequencies used.

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Assessing Sustainable Mobility Measures Applying Multicriteria Decision Making Methods

Sustainability ◽

10.3390/su12156067 ◽

2020 ◽

Vol 12 (15) ◽

pp. 6067 ◽

Cited By ~ 1

Author(s):

Jonas Damidavičius ◽

Marija Burinskienė ◽

Jurgita Antuchevičienė

Keyword(s):

Decision Making ◽

Positive Impact ◽

Evaluation Model ◽

Multicriteria Decision Making ◽

Urban Transport ◽

Transport Infrastructure ◽

Transport Systems ◽

Sustainable Transport ◽

Sustainable Mobility ◽

Multicriteria Decision

An increasing number of recent discussions have focused on the need for designing transport systems in consonance with the importance of the environment, thus promoting investment in the growth of non-motorized transport infrastructure. Under such conditions, the demand for implementing the most effective infrastructure measures has a profoundly positive impact, and requires the least possible financial and human resources. The development of the concept of sustainable mobility puts emphasis on the integrated planning of transport systems, and pays major attention to the expansion of non-motorized and public transport, and different sharing systems, as well as to effective traffic management involving intelligent transport systems. The development of transport infrastructure requires massive investment, and hence the proper use of mobility measures is one of the most important objectives for the rational planning of sustainable transport systems. To achieve this established goal, this article examines a compiled set of mobility measures and identifies the significance of the preferred tools, which involve sustainable mobility experts. The paper also applies multicriteria decision making methods in assessing urban transport systems and their potential in terms of sustainable mobility. Multicriteria decision making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and for comparing them between cities. The proposed universal evaluation model is applied to similar types of cities. The article explores the adaptability of the model by assessing big Lithuanian cities.

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