GREENTRAVEL Public Participation GIS survey on active mobility in Europe

Pleasant places, unpleasant places, and street greenery preferences along active mobility routes in five European cities: Data from the GREENTRAVEL Public Participation GIS survey This spatial dataset contains point data on pleasant and unpleasant places as well as places to add street greenery along everyday active mobility routes that urban residents mapped in five European cities: Helsinki Metropolitan Area (= 1114 respondents), Greater London (=1188), Greater Copenhagen (=1225), Munich (=855) and Las Palmas de Gran Canaria (= 582). The data was collected through an online Public Participation GIS survey, titled “Greentravel: A survey on your everyday active travel environment”. It was distributed in December 2023 to January 2024 using a random sampling approach through a panel company in all cities, except in Greater Copenhagen, where respondents were sampled directly through the Danish Register Data. The survey was implemented by researchers at the Digital Geography Lab, University of Helsinki, in collaboration with researchers at the University of Copenhagen. The data is GDPR compliant. The data is provided in shapefile format. It comprises separate shapefile in point format of (1) pleasant places, (2) unpleasant places and (3) where to add street greenery for each study city as follows: Helsinki Metropolitan Area • Helsinki_Pleasant_20241214 (1222 individual points) • Helsinki_Unpleasant_20241213 (753 individual points) • Helsinki_Street_Greenery (307 individual points) Greater London • London_Pleasant_20241213 (1053 individual points) • London_Unpleasant_20241213 (445 individual points) • London_Street_Greenery (201 individual points) Greater Copenhagen • Copenhagen_Pleasant_20241213 (1545 individual points) • Copenhagen_Unpleasant_20241213 (1090 individual points) • Copenhagen_Street_Greenery (411 individual points) Munich • Munich_Pleasant_20241214 (751 individual points) • Munich_Unpleasant_20241213 (376 individual points) • Munich_Street_Greenery (122 individual points) Las Palmas • LasPalmas_Pleasant_20241213 (552 individual points) • LasPalmas_Unpleasant_20241213 (261 individual points) • LasPalmas_Street_Greenery (200 individual points) Pleasant and Unpleasant Places In the survey respondents were asked to map pleasant and unpleasant points along their everyday active travel routes based on the following question: “When you walk or cycle in your everyday travel (e.g. to go to work, school, shop), which places do you find PLEASANT or UNPLEASANT?** Please click and locate on the map one or more of the green and red buttons below to places that you find either PLEASANT or UNPLEASANT.” The ‘Pleasant’ data cointains the following fields: • respondId: unique respondent ID to link data together by respondent • respNumb: response number by respondent • Season: summer/winter/in both (respondents could specify whichin seasons they felt the place was pleasant) • Over_24hr: In daylight/After dark/Both (respondents could specify the daylight conditions which they felt the place was pleasant) • value: text field identifying all pleasant exposure types identified by the respondent for each mapped point (respondents could select multiple) • aesthetics (binary) • air_qual: air quality (binary) • liveliness (binary) • nature (binary) • soundscape (binary) • w_comfort: weather comfort (binary) • other The ‘Unpleasant’ data contains the following fields: • respondId: unique respondent ID to link data together by respondent • respNumb: response number by respondent • Season: summer/winter/in both (respondents could specify whichin seasons they felt the place was unpleasant) • Over_24hr: In daylight/After dark/Both (respondents could specify the daylight conditions which they felt the place was unpleasant) • value: text field identifying all unpleasant exposure types identified by the respondent for each mapped point (respondents could select multiple) • heavy_t: heavy traffic (binary) • noisy (binary) • no_nature (binary) • poor_main: poor maintenance (binary) • unsafe (binary) • w_discomf (binary) • other Street Greenery Once pleasant and unpleasant places were identified, respondents were asked to identify if and where they would like to add street greenery along their everyday active travel routes as follows: “When you WALK or CYCLE in your everyday travel (e.g. to go to work, school, shop, but excluding leisure trips), are there any places you would like to add more street greenery? If not, skip this question.** Please click and locate on the map where and what type of green elements you would like to add The ‘Street_Greenery’ data contains the following fields: • respondId: unique respondent ID to link data together by respondent • str_gr_int: all street greenery elements identified for each point (respondents could choose multiple) • Str_tree: street tree (binary) • Shrubs: shrubs (binary) • Vert_gr: vertical greenery (binary) • PL_Bd_Plet: plant beds and parklets (binary) • S_flower: seasonal flowers (binary) • other Definitions Active mobility was defined for respondents in the survey as “non-motorised forms of travel such as walking or cycling that you use on a regular daily basis to get to a destination (e.g. go to work, school, shop, but excluding trips for leisure)”. Pleasant and unpleasant categories which survey respondents could identify are defined in table 1 below. Table 2 that follows identifies and visualises the street greenery elements that respondents could add to their active travel routes in the survey. Table 1: Pleasant and unpleasant exposure attributes Category Definition Pleasant Aesthetics It is visually pleasant or appealing here Soundscape Here it is not noisy, so I can enjoy quietness or sounds of nature Air quality The air is clean here Weather comfort It feels comfortable here in different weather conditions Liveliness Here it is lively and/or there are various services Nature Here I am in or close to nature Unpleasant Unsafe I find it unsafe or scary here (e.g. because of traffic, people or animals) Noisy Here it is too noisy (e.g. from traffic, people or construction) No nature Here there is not enough natural elements (e.g. trees or other vegetation) Poor maintenance Here it is untidy or the walking or cycling infrastructure is absent or in poor condition Heavy traffic There is too much traffic here and it feels stressful Weather discomfort It feels uncomfortable here in different weather conditions Table 2: Street greenery elements that survey respondents could select from Street greenery element Survey visual Street tree Shrubs Vertical greenery Plant beds and parklets Lawns and meadows Seasonal flowers The PPGIS survey through which this data was collected is part of the GREENTRAVEL project, funded by the European Union (Grant Number: 101044906). Views and opinions expressed are however those of the authors only and do not necessarily reflect those of the European Union or European Research Council. Neither the European Union nor European Research Council can be held responsible for them.