@article{Garcia2023a,
title = {Examining urban polarization in five Spanish historic cities through online datasets and onsite perceptions},
author = {Juan A. García Esparza and Pablo Altaba and Joaquín Huerta-Guijarro},
doi = {https://doi.org/10.1016/j.habitatint.2023.102900},
issn = {0197-3975},
year = {2023},
date = {2023-10-01},
journal = {Habitat International},
volume = {139},
pages = {102900},
abstract = {At present, the planning and management of historic districts are faced with the challenge of striking a balance between the needs of residents and seasonal pressures from visitors. These socially bustling sites could also benefit from the data cross-referencing of cultural and social patterns in order to identify areas for improvement. This research analyses geo-referenced online datasets and data from social media applications, subsequently contrasting these with onsite data from in-person interviews. These specific variables highlight parallels and conflicts between districts designated World Heritage areas in five Spanish cities. The study provides a quantitative analysis of hotspots and coldspots within the built environment. This is followed by an examination of these two types of areas using qualitative data linked to the three most challenging issues: housing and the built environment; basic services; and cultural services. When analysing the future of historic districts three major challenges to management highlighted in the results should be considered. Firstly, even in socially active districts, imbalances and dysfunctional areas are highlighted by both online data and onsite perceptions. Secondly, the study of the dynamics of districts for observing how stakeholders adapt to this social, economic, and mobility-related polarization. Thirdly, while the study acknowledges the changes to the consumption of culture, there is still potential for improvement in hosting alternative or countercultural movements.},
keywords = {citizen participation, local participation},
pubstate = {published},
tppubtype = {article}
}

@article{Zolotov2019,
title = {Citizens’ intention to use and recommend e-participation: Drawing upon UTAUT and citizen empowerment},
author = {Mijail Naranjo Zolotov and Tiago Oliveira and Sven Casteleyn},
doi = {10.1108/ITP-08-2017-0257},
year = {2019},
date = {2019-03-15},
journal = {Information technology & people},
volume = {32},
number = {2},
pages = {364-386},
abstract = {The purpose of this paper is to investigate how citizens’ perception of empowerment can influence the intention to use and intention to recommend e-participation. A research model is evaluated using structural equation modelling. An online survey questionnaire was used to collect data from 210 users of e-participation. The results show that psychological empowerment influences the intention to use and recommend e-participation. Performance expectancy and facilitating conditions were the strongest predictors of intention to use; effort expectancy and social influence had no significant effect on the prediction of intention to use e-participation. The use of psychological empowerment as a higher-order multidimensional construct is still insufficiently researched. Future research may explore the effect of each dimension of psychological empowerment in different scenarios of e-participation adoption. Caution is needed when generalising our findings towards the adoption of e-participation in different locations or with different participants. The findings can help the local governments to design strategies for the promotion and diffusion of e-participation amongst the citizenry. Those strategies should focus on citizens’ perception of empowerment, thereby creating a positive attitude towards intention to use and recommend e-participation. An innovative research model integrates the unified theory of acceptance, use of technology and psychological empowerment; the last as a higher-order construct.},
keywords = {citizen participation, GEO-C},
pubstate = {published},
tppubtype = {article}
}

@article{khoi2018analyzing,
title = {Analyzing Spatial and Temporal User Behavior in Participatory Sensing},
author = {Ngo Manh Khoi and Sven Casteleyn},
url = {http://www.mdpi.com/2220-9964/7/9/344},
doi = {https://doi.org/10.3390/ijgi7090344},
issn = {2220-9964},
year = {2018},
date = {2018-01-01},
journal = {ISPRS International Journal of Geo-Information},
volume = {7},
number = {9},
pages = {344},
abstract = {The large number of mobile devices and their increasingly powerful computing and sensing capabilities have enabled the participatory sensing concept. Participatory sensing applications are now able to effectively collect a variety of information types with high accuracy. Success, nevertheless, depends largely on the active participation of the users. In this article, we seek to understand spatial and temporal user behaviors in participatory sensing. To do so, we conduct a large-scale deployment of Citizense, a multi-purpose participatory sensing framework, in which 359 participants of demographically different backgrounds were simultaneously exposed to 44 participatory sensing campaigns of various types and contents. This deployment has successfully gathered various types of urban information and at the same time portrayed the participants’ different spatial, temporal and behavioral patterns. From this deployment, we can conclude that (i) the Citizense framework can effectively help participants to design data collecting processes and collect the required data, (ii) data collectors primarily contribute in their free time during the working week; much fewer submissions are done during the weekend, (iii) the decision to respond and complete a particular participatory sensing campaign seems to be correlated to the campaign’s geographical context and/or the recency of the data collectors’ activities, and (iv) data collectors can be divided into two groups according to their behaviors: a smaller group of active data collectors who frequently perform participatory sensing activities and a larger group of regular data collectors who exhibit more intermittent behaviors. These identified user behaviors open avenues to improve the design and operation of future participatory sensing applications},
note = {IF},
keywords = {citizen participation},
pubstate = {published},
tppubtype = {article}
}

@article{khoi2018monetary,
title = {Do Monetary Incentives Influence Users’ Behavior in Participatory Sensing?},
author = {Khoi Manh Ngo and Sven Casteleyn and Mohammad Mehdi Moradi and Edzer Pebesma},
url = {http://www.mdpi.com/1424-8220/18/5/1426},
doi = {https://doi.org/10.3390/s18051426},
year = {2018},
date = {2018-01-01},
journal = {Sensors},
volume = {18},
number = {5},
pages = {1426},
abstract = {Participatory sensing combines the powerful sensing capabilities of current mobile devices with the mobility and intelligence of human beings, and as such has to potential to collect various types of information at a high spatial and temporal resolution. Success, however, entirely relies on the willingness and motivation of the users to carry out sensing tasks, and thus it is essential to incentivize the users’ active participation. In this article, we first present an open, generic participatory sensing framework (Citizense) which aims to make participatory sensing more accessible, flexible and transparent. Within the context of this framework we adopt three monetary incentive mechanisms which prioritize the fairness for the users while maintaining their simplicity and portability: fixed micro-payment, variable micro-payment and lottery. This incentive-enabled framework is then deployed on a large scale, real-world case study, where 230 participants were exposed to 44 different sensing campaigns. By randomly distributing incentive mechanisms among participants and a subset of campaigns, we study the behaviors of the overall population as well as the behaviors of different subgroups divided by demographic information with respect to the various incentive mechanisms. As a result of our study, we can conclude that (1) in general, monetary incentives work to improve participation rate; (2) for the overall population, a general descending order in terms of effectiveness of the incentive mechanisms can be established: fixed micro-payment first, then lottery-style payout and finally variable micro-payment. These two conclusions hold for all the demographic subgroups, even though different different internal distances between the incentive mechanisms are observed for different subgroups. Finally, a negative correlation between age and participation rate was found: older participants contribute less compared to their younger peers.},
keywords = {citizen participation, GEO-C},
pubstate = {published},
tppubtype = {article}
}

@article{Trilles2017b,
title = {Open City Toolkit: el rol de las ciencias geoespaciales para la realización de ciudades abiertas y participativas},
author = {Sergio Trilles-Oliver and Carlos Granell-Canut and Auriol Degbelo and Devanjan Bhattarcharya},
issn = {1131-9100},
year = {2017},
date = {2017-01-01},
journal = {Mapping: Revista International de Geomática y Ciencias de la Tierra},
number = {181},
keywords = {citizen participation, GEO-C, Participatory GIS, Smart Cities},
pubstate = {published},
tppubtype = {article}
}

@article{Degbelo2016,
title = {Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience},
author = {Auriol Degbelo and Carlos Granell-Canut and Sergio Trilles-Oliver and Devanjan Bhattacharya and Sven Casteleyn and Christian Kray},
url = {http://hdl.handle.net/10234/159507},
doi = {10.3390/ijgi5020016},
issn = {2220-9964},
year = {2016},
date = {2016-01-01},
journal = {ISPRS International Journal of Geo-Information},
volume = {5},
number = {2},
pages = {16},
abstract = {The holy grail of smart cities is an integrated, sustainable approach to improve the efficiency of the city's operations and the quality of life of citizens. At the heart of this vision is the citizen, who is the primary beneficiary of smart city initiatives, either directly or indirectly. Despite the recent surge of research and smart cities initiatives in practice, there are still a number of challenges to overcome in realizing this vision. This position paper points out six citizen-related challenges: the engagement of citizens, the improvement of citizens' data literacy, the pairing of quantitative and qualitative data, the need for open standards, the development of personal services, and the development of persuasive interfaces. The article furthermore advocates the use of methods and techniques from GIScience to tackle these challenges, and presents the concept of an Open City Toolkit as a way of transferring insights and solutions from GIScience to smart cities.},
note = {IF: 0.371 - 49/49 (Q4) Geography, physical
0.371 - 29/29 (Q4) Remote Sensing
},
keywords = {citizen participation, GEO-C, GIScience, open data, RyC-Casteleyn, RyC-Granell, Smart Cities},
pubstate = {published},
tppubtype = {article}
}