2016
DOI: 10.1080/15230406.2016.1230520
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Geo-questionnaires in urban planning: recruitment methods, participant engagement, and data quality

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Cited by 47 publications
(35 citation statements)
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“…After deducting incomplete responses, the response rate was 16.82% with 841 responses out of the 5000 individuals invited (see [15] for more details). The geographic distribution of the study participants' residences was similar to that of the target population: Pearson's r calculated in a 1 km hexagon grid equals 0.81, which was deemed satisfactory and close to that in other related studies [57]. The sample over-represented people with higher education (70% compared to 46% in the HMA population aged 25 to 40) and women (58% to 50%).…”
Section: Data Collectionsupporting
confidence: 74%
“…After deducting incomplete responses, the response rate was 16.82% with 841 responses out of the 5000 individuals invited (see [15] for more details). The geographic distribution of the study participants' residences was similar to that of the target population: Pearson's r calculated in a 1 km hexagon grid equals 0.81, which was deemed satisfactory and close to that in other related studies [57]. The sample over-represented people with higher education (70% compared to 46% in the HMA population aged 25 to 40) and women (58% to 50%).…”
Section: Data Collectionsupporting
confidence: 74%
“…Other researchers have called for the concurrent use of probability and voluntary sampling to study the effect of sampling methods (brown, Reed 2009) on the quality of public participation (brown et al 2014a). Another important issue for geo-questionnaire data collection is the quality of data required to effectively inform planning (brown, , Czepkiewicz et al 2016b).…”
Section: Participant Selection and Recruitmentmentioning
confidence: 99%
“…In cases of attributing values and desirable land uses to specific locations, the distance to the domicile might influence the assigned values/preferred land use categories due to spatial discounting: place value and attachment develop with proximity and familiarity, and people prefer to have positive aspects close to their homes while keeping the negative aspects away (brown et al 2002, Pocewicz, Nielsen-Pincus 2013, brown, Kyttä 2014. Spatial representativeness may be assessed by comparing the distribution of respondents with the pattern of plan area residents aggregated to spatial units (Czepkiewicz et al 2016b).…”
Section: Spatial Representativenessmentioning
confidence: 99%
“…Online tools have added value in how they facilitate the dissemination of information, public involvement, and the accumulation of local knowledge [60], though one negative is social injustice, as not all groups of the population are able to use these instruments equally well [60]. For example, the use of social networks brings the issue closer to younger inhabitants, whereas paper questionnaires ensure a better spread of individual age groups in the surveys, but do not address the question of the respondents' different levels of education [66].…”
Section: Challenges For Civic Participation and Land-use Planningmentioning
confidence: 99%