Modeling citizens' urban time-use using adaptive hypermedia surveys to obtain an urban planning, citizen-centric, methodological reinvention
Bibliographic Data
| ID | 4355934 |
|---|---|
| Authors | Maria-Lluïsa Marsal-Llacuna (0000-0001-8855-3328, Universitat de Girona), Ramon Fabregat-Gesa (Universitat de Girona) |
| Year | 2016 |
| Volume | 25 |
| Issue | 2 |
| Pages | 272-294 |
| Publication date | 2016-07-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Time & Society (JOURNAL) |
| Journal identifiers | ISSN: 0961-463X • E-ISSN: 1461-7463 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0961463x15577259 |
| OpenAlex | W2048824589 |
| Language | EN |
| Citations received | 6 |
| References cited | 41 |
Traditional urban planning methodologies cannot solve today's planning challenges that cities pose. Citizens' needs have substantially changed the last decade while urban planning methods have remained the same since the 70s. A more citizen-centric urban planning is presented in this paper. To that end, and to effectively deal with citizens' larger data needed for the urban planning methodological reinvention, interdisciplinary work is supported with information and communication technologies. We conducted a survey of citizens on urban time-use (Marsal MLl and López MB (2014) Smart urban planning: Designing urban-land-use from urban time-use. Journal of Urban Technology 21(1): 39-54). The results on urban-time-use distribution were converted into urban-land-uses as pioneering methodology for the reinvention of urban planning methodologies. In order to get the highest voluntary participation from citizens to ensure a good representation of all ages and social groups, the survey has to be designed with adaptive hypermedia techniques. The adaptive hypermedia techniques we propose in this paper combine stereotype and feature-based models which we explore for the purpose to include them in the survey. The combination of stereotype and feature-based models has different advantages, among others: stereotype techniques avoid to initiate survey profiles from scratch and feature-based techniques allow a personalized questionnaire to be employed. Moreover, personalization, in combination with user profiles, allows prediction which is of great interest for this research due to its planning purposes
Civil engineering · Data science · Knowledge management · Land use · Land-use planning · Personalization · Urban planning · World Wide Web · Computer Science · Data Visualization and Analytics · Engineering · Human Mobility and Location-Based Analysis · Recommender Systems and Techniques
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| Citations per year | 0.6 |
|---|---|
| Citation span | 2016 - 2023 (8) |
| Highly cited | No |