Special Issue "Open Data for Open Cites (OD4OC): Reuse of Open Data through Spatial Analysis"

A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information and Communications Technology".

Deadline for manuscript submissions: closed (1 December 2018)

Special Issue Editors

Guest Editor
Dr. Adeoluwa Akande

Nova Information Management School, Universidade Nova de Lisbon, Lisbon, Portugal
Website | E-Mail
Interests: geographical information systems and science; sustainable smart cities; disaster risk management; open cities; open data
Guest Editor
Dr. Fernando Benitez

Geospatial Technology Research Group, Universitat Jaume I, Castellon, Spain
Website | E-Mail
Interests: geographical information systems and science; spatial analysis; open data, GIS development of native/web apps; smart cities and open cities
Guest Editor
Prof. Marco Painho

Nova Information Management School, Universidade Nova de Lisbon, Lisbon, Portugal
Website | E-Mail
Interests: geographical information systems and science; (spatial) decision support systems; (geographical) user generated content; spatial analysis; information infrastructures; smart cities; public participation
Guest Editor
Prof. Joaquín Huerta

Geospatial Technology Research Group, Universitat Jaume I, Castellon, Spain
Website | E-Mail
Interests: smart cities/campuses; internet technologies; augumented reality; 3D models; Web 2.0; contextual systems; sensor networks and GIS application development
Guest Editor
Prof. Pedro Cabral

Nova Information Management School, Universidade Nova de Lisbon, Lisbon, Portugal
Website | E-Mail
Interests: ecosystem services; disaster risk management; environmental sustainability; smart sustainable cities; geographical information systems; land change models; remote sensing
Guest Editor
Prof. Michael Gould

Geospatial Technology Research Group, Universitat Jaume I, Castellon, Spain
Website | E-Mail
Interests: distributed geographical information systems; smart cities; hybrid FOSS/proprietory interoperability

Special Issue Information

Dear Colleagues,

We invite contributions that cover all aspect of the use of Open Data and geospatial analysis in fostering inclusive, resilient, open and sustainable communities. 

The explosive growth of cities and the rapid expansion of broadband and data are intersecting at a time when the world faces serious challenges to achieving more sustainable development. Sensors and digital devices generate huge amount of data from which cities and governments can create indicators and learn new knowledge. Cities now have an important role to play in national and local open data initiatives. Data user communities are trying to tackle various urban challenges for many intermediaries that see open data as the key factor to improve their services. However, are cities ready to move forward in terms of open data? Are the current data user requirements taken into consideration in open data strategy? How are open data being used to make cities inclusive, safe, resilient and sustainable?

Hence, we invite papers describing original work in any of the following areas, but not limited to:

  1. Urban Analytics
  2. Open data-driven initiatives for effective community collaboration
  3. The use of Open Data in Smart sustainable cities
  4. Frameworks for sustainable community engagement
  5. Reuse of open geographic data
  6. Impact of Open Data in cities
  7. Impact of Open Geographic Data

This Special Issue will contain extended versions of selected papers presented at AGILE 2018 pre-conference workshop titled Open Data for Open Cities (http://opendata4opencities.uji.es) held in Lund, Sweden, 12 June, 2018. AGILE 2018 is the annual international conference on Geographic Information Science.

Dr. Adeoluwa Akande
Dr. Fernando Benitez
Prof. Marco Painho
Prof. Joaquín Huerta
Prof. Pedro Cabral
Prof. Michael Gould
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Open Data
  • Open Cities
  • Spatial Analysis
  • Smart cities
  • Reusability
  • Open Government
  • Impact of open data

Published Papers (3 papers)

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Research

Open AccessArticle Quantifying Bicycle Network Connectivity in Lisbon Using Open Data
Information 2018, 9(11), 287; https://doi.org/10.3390/info9110287
Received: 31 October 2018 / Revised: 14 November 2018 / Accepted: 15 November 2018 / Published: 17 November 2018
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Abstract
Stimulating non-motorized transport has been a key point on sustainable mobility agendas for cities around the world. Lisbon is no exception, as it invests in the implementation of new bike infrastructure. Quantifying the connectivity of such a bicycle network can help evaluate its
[...] Read more.
Stimulating non-motorized transport has been a key point on sustainable mobility agendas for cities around the world. Lisbon is no exception, as it invests in the implementation of new bike infrastructure. Quantifying the connectivity of such a bicycle network can help evaluate its current state and highlight specific challenges that should be addressed. Therefore, the aim of this study is to develop an exploratory score that allows a quantification of the bicycle network connectivity in Lisbon based on open data. For each part of the city, a score was computed based on how many common destinations (e.g., schools, universities, supermarkets, hospitals) were located within an acceptable biking distance when using only bicycle lanes and roads with low traffic stress for cyclists. Taking a weighted average of these scores resulted in an overall score for the city of Lisbon of only 8.6 out of 100 points. This shows, at a glance, that the city still has a long way to go before achieving their objectives regarding bicycle use in the city. Full article
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Open AccessArticle Motivation Perspectives on Opening up Municipality Data: Does Municipality Size Matter?
Information 2018, 9(11), 267; https://doi.org/10.3390/info9110267
Received: 2 October 2018 / Revised: 17 October 2018 / Accepted: 18 October 2018 / Published: 25 October 2018
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Abstract
National governments often expect municipalities to develop toward open cities and be equally motivated to open up municipal data, yet municipalities have different characteristics influencing their motivations. This paper aims to reveal how municipality size influences municipalities’ motivation perspectives on opening up municipality
[...] Read more.
National governments often expect municipalities to develop toward open cities and be equally motivated to open up municipal data, yet municipalities have different characteristics influencing their motivations. This paper aims to reveal how municipality size influences municipalities’ motivation perspectives on opening up municipality data. To this end, Q-methodology is used, which is a method that is suited to objectify people’s frames of mind on a particular topic. By applying this method to 37 municipalities in the Netherlands, we elicited the motivation perspectives of three main groups of municipalities: (1) advocating municipalities, (2) careful municipalities, and (3) conservative municipalities. We found that advocating municipalities are mainly large-sized municipalities (>65,000 inhabitants) and a few small-sized municipalities (<35,000 inhabitants). Careful municipalities concern municipalities of all sizes (small, medium, and large). The conservative municipality perspective is more common among smaller-sized municipalities. Our findings do not support the statement “the smaller the municipality, the less motivated it is to open up its data”. However, the type and amount of municipality resources do influence motivations to share data or not. We provide recommendations for how open data policy makers on the national level need to support the three groups of municipalities and municipalities of different sizes in different ways to stimulate the provision of municipal data to the public as much as possible. Moreover, if national governments can identify which municipalities adhere to which motivation perspective, they can then develop more targeted open data policies that meet the requirements of the municipalities that adhere to each perspective. This should result in more open data value creation. Full article
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Open AccessArticle What Smart Campuses Can Teach Us about Smart Cities: User Experiences and Open Data
Information 2018, 9(10), 251; https://doi.org/10.3390/info9100251
Received: 2 September 2018 / Revised: 4 October 2018 / Accepted: 6 October 2018 / Published: 12 October 2018
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Abstract
Universities, like cities, have embraced novel technologies and data-based solutions to improve their campuses with ‘smart’ becoming a welcomed concept. Campuses in many ways are small-scale cities. They increasingly seek to address similar challenges and to deliver improved experiences to their users. How
[...] Read more.
Universities, like cities, have embraced novel technologies and data-based solutions to improve their campuses with ‘smart’ becoming a welcomed concept. Campuses in many ways are small-scale cities. They increasingly seek to address similar challenges and to deliver improved experiences to their users. How can data be used in making this vision a reality? What can we learn from smart campuses that can be scaled up to smart cities? A short research study was conducted over a three-month period at a public university in the United Kingdom, employing stakeholder interviews and user surveys, which aimed to gain insight into these questions. Based on the study, the authors suggest that making data publicly available could bring many benefits to different groups of stakeholders and campus users. These benefits come with risks and challenges, such as data privacy and protection and infrastructure hurdles. However, if these challenges can be overcome, then open data could contribute significantly to improving campuses and user experiences, and potentially set an example for smart cities. Full article
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