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. 2021 Apr 16;36:107025. doi: 10.1016/j.dib.2021.107025

Hybrid choice model dataset of a representative Swiss online panel survey on peoples’ preferences related to mixed renewable energy scenarios in landscapes and the effect of landscape-technology fit

B Salak a,, K Lindberg b, F Kienast c, M Hunziker a
PMCID: PMC8131564  PMID: 34026963

Abstract

We present stated preference data based on a national representative Swiss online panel survey related to preference of mixed renewable energy infrastructure in landscapes. Data were collected between November 2018 and March 2019 via an online questionnaire and yielded 1026 responses. The online questionnaire consisted of two main parts – (1) questions covering meanings related to landscapes, nature and renewable energy infrastructure and questions regarding the “fit” of landscape/renewable energy infrastructure (REI) combinations and (2) a stated choice experiment. While in the first part of the questionnaire we asked respondents about their personal connection to certain landscapes, to nature and to specific REI, we also asked them to evaluate the fitting of seven different Swiss landscapes (near natural alpine areas, northern alps, touristic alpine areas, agricultural plateau, urban plateau, Jura ridges, urban alpine valley) with five different REI (wind, PV ground/agricultural, PV ground/other, PV roof, power lines) combinations. In the second part of the questionnaire, the stated choice experiment confronted respondents with 15 consecutive choice tasks, with each task involving a choice between two “energy system transformation” options and an opt-out option (none). Each choice option (beside the opt-out option) included four unlabeled attributes (landscape, wind energy infrastructure, photovoltaic energy infrastructure, high voltage overhead power line infrastructure) with varying levels. Due to data cleaning procedures (item nonresponse) the number of responses used within hybrid choice modeling and analysis was n = 844 (12,660 choice observations). An analysis of the hybrid choice model and further insights are presented in the article “How landscape-technology fit affects public evaluations of renewable energy infrastructure scenarios. A hybrid choice model.”

Keywords: Place-technology fit, Landscape-technology fit, Perceived landscape quality, Landscape meanings, Renewable energy meanings, Mixed renewable energy landscapes, Hybrid choice model, Integrated choice and latent variable model

Specifications Table

Subject Social Science
Specific subject area Perceived landscape quality
Type of data CSV data file
How data were acquired Online questionnaire Sawtooth
Data format Raw data
Parameters for data collection The online panel survey targeted Swiss residents and is representative regarding language, gender, age, education and landscape.
Description of data collection Data were collected with panel operator BILENDI and were administered via Sawtooth Software. Active panel members in Switzerland were invited to participate. Two reminders were sent. The questionnaire consisted of two parts, a choice experiment and questions covering meanings related to landscapes, nature and renewable energy infrastructure (REI), including the “fit” of landscape/REI combinations.
Data source location Institution: Swiss federal research institute WSL
Country: Switzerland
Data accessibility Data is accessible via EnviDat, the WSL data portal Repository name: EnviDat (https://www.envidat.ch/) Data identification number: https://doi.org/10.16904/envidat.206. Direct URL to data: https://www.envidat.ch/dataset/landscape-technology-fit-public-evaluation
Related research article B. Salak, K. Lindberg, F. Kienast, M. Hunziker, How landscape-technology fit affects public evaluations of renewable energy infrastructure scenarios. A hybrid choice model, Renewable and Sustainable Energy Reviews. In Press.

Value of the Data

  • Presented data provide information on public preferences across different energy scenarios. They also provide a proof-of-concept for “landscape-technology fit” and contain information about predictors (landscape- and renewable energy meanings, exposure) of peoples’ preferences related to landscape developments. Also, the dataset highlights the interconnectedness of landscape and energy aspects in terms of the perceived landscape quality and its potential relevance for decision making processes.

  • The consideration of meanings for decision making processes and policy making (not only visual aspects) could be brought into all policy areas and technical decision-making tools, even those that are not landscape-oriented. During communication and planning residents of potential energy sites could be (1) informed early on and (2) invited to participatory workshops in which the meaning of landscape and REI is addressed in addition to usual visual scenarios and (3) discussing siting alternatives.

  • The dataset can be used to operationalize landscape-technology fit (LTF) concept which derived from place-technology fit (PTF). In particular, this dataset may be used as a base line for future LTF model improvements in alpine regions. They contain explicit information on meanings ascribed to alpine landscapes and to specific renewable energy infrastructures.

1. Data Description

We conducted a representative online panel survey in Switzerland between November 2018 and March 2019 to elicit the preferences of Swiss residents for landscape oriented renewable energy infrastructure developments. The questionnaire was developed by WSL and operated by panel provider BILENDI GmbH. The survey is representative in language, age, gender, education and landscape.

The questionnaire consisted of two major parts, where within the first part questions were related (1) to meanings ascribed to landscapes and renewable energy infrastructure, (2) to aspects of landscape-technology fit and (3) to exposure of people to landscapes and renewable energy infrastructures. Within the second part a stated choice model was presented. All respondents were designated to one of seven landscapes (near natural alpine areas, northern alps, touristic alpine areas, agricultural plateau, urban plateau, jura ridges, urban alpine valley) according to the ZIP code of their origin. The landscape visualizations used in this study are illustrated in Fig. 1, whereas further details about its joint development can be found in Spielhofer et al. [1]. All survey items and scales are presented in Table 1, whereas the questionnaire is added to the supplementary material of the present artice. Socio demographic items and respondent ID were provided by the panel provider (items 1 to 6). After starting the survey, respondents were first asked to select landscapes that most closely represent the landscape of their living, recreation and childhood environment (variables 160–162). In a next step, respondents were asked to evaluate (randomly presented) meanings ascribed to each of the seven landscapes presented. A generalized overview of the evaluation of landscape meaning items (variables 84 to 153) is provided in Table 2. Consequently, respondents were asked about (randomly presented) meanings they ascribe to each of three renewable energy infrastructures (wind, PV ground, PV roof). A descriptive overview is provided in Table 3 (variables 57 to 83). As a consequence, people were asked to evaluate their personal feeling of the “fit” of each landscape/renewable energy infrastructure combination (variables 22 to 56). Within this landscape-technology fit evaluation photovoltaic infrastructure was separated into open space ground mounted PV and agricultural PV infrastructure. In addition, high voltage overhead power lines were integrated. For the evaluation, the landscape/energy infrastructure combination for each landscape was randomized in appearance. An exemplary illustration of the operationalized landscape-technology fit concept can be found in Fig. 2, while an overview of respondents evaluation can be found in Table 4. Lastly, people were asked about how they would feel if they would be exposed to renewable energy infrastructure in their living (items 154 to 156) and their recreation environment (items 157 to 159).

Fig. 1.

Fig. 1:

Landscape visualizations used in this study.

Table 1.

Item based description of the dataset.

Var_num Var_code Var_descr 1 2 3 4 5 6 7
1 sys_RespNum Respondent ID
2 Lang Language region Swiss-German Swiss-French Swiss-Italian
3 Gend Gender Female Male
4 Age Age 18–24 25–34 35–44 45–54 55–64
5 Edu Education obligatory school secondary level: professional education secondary level: general education tertiar level: professional education tertiar level: universities
6 Ls ZIP designated Landscape Alp Northern prealps Touristic alpine areas Agricultural Plateau Urban plateau Jura ridges Urban alpine valley
7–21 CE1_Random1–15 Random Choice task 1
22–56 LTFaband-alpval_r1 How do you think the following energy infrastructures fit with these landscapes? (LS1–7+Powerlines) very poor poor fair good very good
23 LTFaband-alpval_r2 How do you think the following energy infrastructures fit with these landscapes? (LS1–7+PVagri) very poor poor fair good very good
24 LTFaband-alpval_r3 How do you think the following energy infrastructures fit with these landscapes? (LS1–7+PVground) very poor poor fair good very good
25 LTFaband-alpval_r4 How do you think the following energy infrastructures fit with these landscapes? (LS1–7+PVroof) very poor poor fair good very good
26 LTFaband-alpval_r5 How do you think the following energy infrastructures fit with these landscapes? (LS1–7+Wind) very poor poor fair good very good
27 LTFprealps_r1 How do you think the following energy infrastructures fit with these landscapes? (Pre_alps+Powerlines) very poor poor fair good very good
28 LTFprealps_r2 How do you think the following energy infrastructures fit with these landscapes? (Pre_alps+PVagri) very poor poor fair good very good
29 LTFprealps_r3 How do you think the following energy infrastructures fit with these landscapes? (Pre_alps+PVground) very poor poor fair good very good
30 LTFprealps_r4 How do you think the following energy infrastructures fit with these landscapes? (Pre_alps+PVroof) very poor poor fair good very good
31 LTFprealps_r5 How do you think the following energy infrastructures fit with these landscapes? (Pre_alps+Wind) very poor poor fair good very good
32 LTFalptour_r1 How do you think the following energy infrastructures fit with these landscapes? (Alp_tour+Powerlines) very poor poor fair good very good
33 LTFalptour_r2 How do you think the following energy infrastructures fit with these landscapes? (Alp_tour+PVagri) very poor poor fair good very good
34 LTFalptour_r3 How do you think the following energy infrastructures fit with these landscapes? (Alp_tour+PVground) very poor poor fair good very good
35 LTFalptour_r4 How do you think the following energy infrastructures fit with these landscapes? (Alp_tour+PVroof) very poor poor fair good very good
36 LTFalptour_r5 How do you think the following energy infrastructures fit with these landscapes? (Alp_tour+Wind) very poor poor fair good very good
37 LTFplatagri_r1 How do you think the following energy infrastructures fit with these landscapes? (Plat_agri+Powerlines) very poor poor fair good very good
38 LTFplatagri_r2 How do you think the following energy infrastructures fit with these landscapes? (Plat_agri+PVagri) very poor poor fair good very good
39 LTFplatagri_r3 How do you think the following energy infrastructures fit with these landscapes? (Plat_agri+PVground) very poor poor fair good very good
40 LTFplatagri_r4 How do you think the following energy infrastructures fit with these landscapes? (Plat_agri+PVroof) very poor poor fair good very good
41 LTFplatagri_r5 How do you think the following energy infrastructures fit with these landscapes? (Plat_agri+Wind) very poor poor fair good very good
42 LTFplaturb_r1 How do you think the following energy infrastructures fit with these landscapes? (Plat_urb+Powerlines) very poor poor fair good very good
43 LTFplaturb_r2 How do you think the following energy infrastructures fit with these landscapes? (Plat_urb+PVagri) very poor poor fair good very good
44 LTFplaturb_r3 How do you think the following energy infrastructures fit with these landscapes? (Plat_urb+PVground) very poor poor fair good very good
45 LTFplaturb_r4 How do you think the following energy infrastructures fit with these landscapes? (Plat_urb+PVroof) very poor poor fair good very good
46 LTFplaturb_r5 How do you think the following energy infrastructures fit with these landscapes? (Plat_urb+Wind) very poor poor fair good very good
47 LTFjura_r1 How do you think the following energy infrastructures fit with these landscapes? (Jura+Powerlines) very poor poor fair good very good
48 LTFjura_r2 How do you think the following energy infrastructures fit with these landscapes? (Jura+PVagri) very poor poor fair good very good
49 LTFjura_r3 How do you think the following energy infrastructures fit with these landscapes? (Jura+PVground) very poor poor fair good very good
50 LTFjura_r4 How do you think the following energy infrastructures fit with these landscapes? (Jura+PVroof) very poor poor fair good very good
51 LTFjura_r5 How do you think the following energy infrastructures fit with these landscapes? (Jura+Wind) very poor poor fair good very good
52 LTFalpval_r1 How do you think the following energy infrastructures fit with these landscapes? (Alp_urb+Powerlines) very poor poor fair good very good
53 LTFalpval_r2 How do you think the following energy infrastructures fit with these landscapes? (Alp_urb+PVagri) very poor poor fair good very good
54 LTFalpval_r3 How do you think the following energy infrastructures fit with these landscapes? (Alp_urb+PVground) very poor poor fair good very good
55 LTFalpval_r4 How do you think the following energy infrastructures fit with these landscapes? (Alp_urb+PVroof) very poor poor fair good very good
56 LTFalpval_r5 How do you think the following energy infrastructures fit with these landscapes? (Alp_urb+Wind) very poor poor fair good very good
57 REwind_r1 Wind energy infrastructure provides clean energy strongly disagree disagree in between agree strongly agree
58 REwind_r2 Wind energy infrastructure secures jobs strongly disagree disagree in between agree strongly agree
59 REwind_r3 Wind energy infrastructure supports local economy strongly disagree disagree in between agree strongly agree
60 REwind_r4 Wind energy infrastructure cannot replace other energy sources in CH strongly disagree disagree in between agree strongly agree
61 REwind_r5 Wind energy infrastructure deliver limited yield strongly disagree disagree in between agree strongly agree
62 REwind_r7 Wind energy infrastructure ensures variety in the landscape strongly disagree disagree in between agree strongly agree
63 REwind_r9 Wind energy infrastructure represent the progress of humans strongly disagree disagree in between agree strongly agree
64 REwind_r12 Wind energy infrastructure contribute to solving the most important problems of humanity strongly disagree disagree in between agree strongly agree
65 REwind_r13 Wind energy infrastructure represent awakening strongly disagree disagree in between agree strongly agree
66 REpvground_r1 PV ground infrastructure provides clean energy strongly disagree disagree in between agree strongly agree
67 REpvground_r2 PV ground infrastructure secures jobs strongly disagree disagree in between agree strongly agree
68 REpvground_r3 PV ground infrastructure supports local economy strongly disagree disagree in between agree strongly agree
69 REpvground_r4 PV ground infrastructure cannot replace other energy sources in CH strongly disagree disagree in between agree strongly agree
70 REpvground_r5 PV ground infrastructure deliver limited yield strongly disagree disagree in between agree strongly agree
71 REpvground_r7 PV ground infrastructure ensures variety in the landscape strongly disagree disagree in between agree strongly agree
72 REpvground_r9 PV ground infrastructure represent the progress of humans strongly disagree disagree in between agree strongly agree
73 REpvground_r12 PV ground infrastructure contribute to solving the most important problems of humanity strongly disagree disagree in between agree strongly agree
74 REpvground_r13 PV ground infrastructure represent awakening strongly disagree disagree in between agree strongly agree
75 REpvroof_r1 PV roof infrastructure provides clean energy strongly disagree disagree in between agree strongly agree
76 REpvroof_r2 PV roof infrastructure secures jobs strongly disagree disagree in between agree strongly agree
77 REpvroof_r3 PV roof infrastructure supports local economy strongly disagree disagree in between agree strongly agree
78 REpvroof_r4 PV roof infrastructure cannot replace other energy sources in CH strongly disagree disagree in between agree strongly agree
79 REpvroof_r5 PV roof infrastructure deliver limited yield strongly disagree disagree in between agree strongly agree
80 REpvroof_r7 PV roof infrastructure ensures variety in the landscape strongly disagree disagree in between agree strongly agree
81 REpvroof_r9 PV roof infrastructure represent the progress of humans strongly disagree disagree in between agree strongly agree
82 REpvroof_r12 PV roof infrastructure contribute to solving the most important problems of humanity strongly disagree disagree in between agree strongly agree
83 REpvroof_r13 PV roof infrastructure represent awakening strongly disagree disagree in between agree strongly agree
84 meaningsABAND_r1 Near natural alpine landscapes are a symbol for human progress strongly disagree disagree in between agree strongly agree
85 meaningsABAND_r3 Near natural alpine landscapes represent the dominance of humans over nature strongly disagree disagree in between agree strongly agree
86 meaningsABAND_r5 Near natural alpine landscapes represent scenic beauty strongly disagree disagree in between agree strongly agree
87 meaningsABAND_r6 Near natural alpine landscapes offer sense of intimicy/familiarity strongly disagree disagree in between agree strongly agree
88 meaningsABAND_r7 Near natural alpine landscapes help to recognize sense strongly disagree disagree in between agree strongly agree
89 meaningsABAND_r9 Near natural alpine landscapes help to can relax my soul strongly disagree disagree in between agree strongly agree
90 meaningsABAND_r10 Near natural alpine landscapes make me feeling comfortable strongly disagree disagree in between agree strongly agree
91 meaningsABAND_r11 Near natural alpine landscapes are a symbol for an authentic landscape strongly disagree disagree in between agree strongly agree
92 meaningsABAND_r12 Near natural alpine landscapes represent an intact world strongly disagree disagree in between agree strongly agree
93 meaningsABAND_r13 Near natural alpine landscapes help to experience myself strongly disagree disagree in between agree strongly agree
94 meaningsPREALPS_r1 Northern alpine landscapes are a symbol for human progress strongly disagree disagree in between agree strongly agree
95 meaningsPREALPS_r3 Northern alpine landscapes represent the dominance of humans over nature strongly disagree disagree in between agree strongly agree
96 meaningsPREALPS_r5 Northern alpine landscapes represent scenic beauty strongly disagree disagree in between agree strongly agree
97 meaningsPREALPS_r6 Northern alpine landscapes offer sense of intimicy/familiarity strongly disagree disagree in between agree strongly agree
98 meaningsPREALPS_r7 Northern alpine landscapes help to recognize sense strongly disagree disagree in between agree strongly agree
99 meaningsPREALPS_r9 Northern alpine landscapes help to can relax my soul strongly disagree disagree in between agree strongly agree
100 meaningsPREALPS_r10 Northern alpine landscapes make me feeling comfortable strongly disagree disagree in between agree strongly agree
101 meaningsPREALPS_r11 Northern alpine landscapes are a symbol for an authentic landscape strongly disagree disagree in between agree strongly agree
102 meaningsPREALPS_r12 Northern alpine landscapes represent an intact world strongly disagree disagree in between agree strongly agree
103 meaningsPREALPS_r13 Northern alpine landscapes help to experience myself strongly disagree disagree in between agree strongly agree
104 meaningsALPTOUR_r1 Alpine touristic landscapes are a symbol for human progress strongly disagree disagree in between agree strongly agree
105 meaningsALPTOUR_r3 Alpine touristic landscapes represent the dominance of humans over nature strongly disagree disagree in between agree strongly agree
106 meaningsALPTOUR_r5 Alpine touristic landscapes represent scenic beauty strongly disagree disagree in between agree strongly agree
107 meaningsALPTOUR_r6 Alpine touristic landscapes offer sense of intimicy/familiarity strongly disagree disagree in between agree strongly agree
108 meaningsALPTOUR_r7 Alpine touristic landscapes help to recognize sense strongly disagree disagree in between agree strongly agree
109 meaningsALPTOUR_r9 Alpine touristic landscapes help to can relax my soul strongly disagree disagree in between agree strongly agree
110 meaningsALPTOUR_r10 Alpine touristic landscapes make me feeling comfortable strongly disagree disagree in between agree strongly agree
111 meaningsALPTOUR_r11 Alpine touristic landscapes are a symbol for an authentic landscape strongly disagree disagree in between agree strongly agree
112 meaningsALPTOUR_r12 Alpine touristic landscapes represent an intact world strongly disagree disagree in between agree strongly agree
113 meaningsALPTOUR_r13 Alpine touristic landscapes help to experience myself strongly disagree disagree in between agree strongly agree
114 meaningsPLATAGRI_r1 Agricultural plateau landscapes are a symbol for human progress strongly disagree disagree in between agree strongly agree
115 meaningsPLATAGRI_r3 Agricultural plateau landscapes represent the dominance of humans over nature strongly disagree disagree in between agree strongly agree
116 meaningsPLATAGRI_r5 Agricultural plateau landscapes represent scenic beauty strongly disagree disagree in between agree strongly agree
117 meaningsPLATAGRI_r6 Agricultural plateau landscapes offer sense of intimicy/familiarity strongly disagree disagree in between agree strongly agree
118 meaningsPLATAGRI_r7 Agricultural plateau landscapes help to recognize sense strongly disagree disagree in between agree strongly agree
119 meaningsPLATAGRI_r9 Agricultural plateau landscapes help to can relax my soul strongly disagree disagree in between agree strongly agree
120 meaningsPLATAGRI_r10 Agricultural plateau landscapes make me feeling comfortable strongly disagree disagree in between agree strongly agree
121 meaningsPLATAGRI_r11 Agricultural plateau landscapes are a symbol for an authentic landscape strongly disagree disagree in between agree strongly agree
122 meaningsPLATAGRI_r12 Agricultural plateau landscapes represent an intact world strongly disagree disagree in between agree strongly agree
123 meaningsPLATAGRI_r13 Agricultural plateau landscapes help to experience myself strongly disagree disagree in between agree strongly agree
124 meaningsPLATURB_r1 Landscapes on the urban plateau are a symbol for human progress strongly disagree disagree in between agree strongly agree
125 meaningsPLATURB_r3 Landscapes on the urban plateau represent the dominance of humans over nature strongly disagree disagree in between agree strongly agree
126 meaningsPLATURB_r5 Landscapes on the urban plateau represent scenic beauty strongly disagree disagree in between agree strongly agree
127 meaningsPLATURB_r6 Landscapes on the urban plateau offer sense of intimicy/familiarity strongly disagree disagree in between agree strongly agree
128 meaningsPLATURB_r7 Landscapes on the urban plateau help to recognize sense strongly disagree disagree in between agree strongly agree
129 meaningsPLATURB_r9 Landscapes on the urban plateau help to can relax my soul strongly disagree disagree in between agree strongly agree
130 meaningsPLATURB_r10 Landscapes on the urban plateau make me feeling comfortable strongly disagree disagree in between agree strongly agree
131 meaningsPLATURB_r11 Landscapes on the urban plateau are a symbol for an authentic landscape strongly disagree disagree in between agree strongly agree
132 meaningsPLATURB_r12 Landscapes on the urban plateau represent an intact world strongly disagree disagree in between agree strongly agree
133 meaningsPLATURB_r13 Landscapes on the urban plateau help to experience myself strongly disagree disagree in between agree strongly agree
134 meaningsJURA_r1 Jura landscapes are a symbol for human progress strongly disagree disagree in between agree strongly agree
135 meaningsJURA_r3 Jura landscapes represent the dominance of humans over nature strongly disagree disagree in between agree strongly agree
136 meaningsJURA_r5 Jura landscapes represent scenic beauty strongly disagree disagree in between agree strongly agree
137 meaningsJURA_r6 Jura landscapes offer sense of intimicy/familiarity strongly disagree disagree in between agree strongly agree
138 meaningsJURA_r7 Jura landscapes help to recognize sense strongly disagree disagree in between agree strongly agree
139 meaningsJURA_r9 Jura landscapes help to can relax my soul strongly disagree disagree in between agree strongly agree
140 meaningsJURA_r10 Jura landscapes make me feeling comfortable strongly disagree disagree in between agree strongly agree
141 meaningsJURA_r11 Jura landscapes are a symbol for an authentic landscape strongly disagree disagree in between agree strongly agree
142 meaningsJURA_r12 Jura landscapes represent an intact world strongly disagree disagree in between agree strongly agree
143 meaningsJURA_r13 Jura landscapes help to experience myself strongly disagree disagree in between agree strongly agree
144 meaningsALPVAL_r1 Landscapes in urban alpine valleys are a symbol for human progress strongly disagree disagree in between agree strongly agree
145 meaningsALPVAL_r3 Landscapes in urban alpine valleys represent the dominance of humans over nature strongly disagree disagree in between agree strongly agree
146 meaningsALPVAL_r5 Landscapes in urban alpine valleys represent scenic beauty strongly disagree disagree in between agree strongly agree
147 meaningsALPVAL_r6 Landscapes in urban alpine valleys offer sense of intimicy/familiarity strongly disagree disagree in between agree strongly agree
148 meaningsALPVAL_r7 Landscapes in urban alpine valleys help to recognize sense strongly disagree disagree in between agree strongly agree
149 meaningsALPVAL_r9 Landscapes in urban alpine valleys help to can relax my soul strongly disagree disagree in between agree strongly agree
150 meaningsALPVAL_r10 Landscapes in urban alpine valleys make me feeling comfortable strongly disagree disagree in between agree strongly agree
151 meaningsALPVAL_r11 Landscapes in urban alpine valleys are a symbol for an authentic landscape strongly disagree disagree in between agree strongly agree
152 meaningsALPVAL_r12 Landscapes in urban alpine valleys represent an intact world strongly disagree disagree in between agree strongly agree
153 meaningsALPVAL_r13 Landscapes in urban alpine valleys help to experience myself strongly disagree disagree in between agree strongly agree
154 WBTR3_r1 Wind energy infrastructures in my living environment… are very disturbing are disturbing rather disturb neither rather like like like it very much
155 WBTR3_r2 Roof mounted PV in my living environment… are very disturbing are disturbing rather disturb neither rather like like like it very much
156 WBTR3_r3 Open space mounted PV in my living environment… are very disturbing are disturbing rather disturb neither rather like like like it very much
157 LBTR3_r1 Wind energy infrastructures in my recreation environment… are very disturbing are disturbing rather disturb neither rather like like like it very much
158 LBTR3_r2 Roof mounted PV in my recreation environment… are very disturbing are disturbing rather disturb neither rather like like like it very much
159 LBTR3_r3 Open space mounted PV in my recreation environment… are very disturbing are disturbing rather disturb neither rather like like like it very much
160 WumgSEL Which of the following typical Swiss landscapes most closely represents the landscape of your living environment? Alp Northern prealps Touristic alpine areas Agricultural Plateau Urban plateau Jura ridges Urban alpine valley
161 LumgSEL Which of the following typical Swiss landscapes most closely represents the landscape of your recreation environment? Alp Northern prealps Touristic alpine areas Agricultural Plateau Urban plateau Jura ridges Urban alpine valley
162 WgeschKID Which of the following typical Swiss landscapes most closely represents the landscape of your childhood? Alp Northern prealps Touristic alpine areas Agricultural Plateau Urban plateau Jura ridges Urban alpine valley

Table 2.

Description of variables related to meanings ascribed to landscapes.

This landscape…
Response distribution (number, percentage)
Item descriptives
Variable Description Strongly disagree disagree in between agree Strongly agree Mean SD
Arcadian landscape perception
 LSM_scenic-beauty …represents scenic beauty. 1135 (9.0%) 2127 (16.8%) 2803 (22.1%) 4082 (32.2%) 2513 (19.9%) 3.37 1.23
 LSM_intimicy …offers sense of intimicy/familiarity. 852 (6.7%) 1862 (14.7%) 3340 (26.4%) 4696 (37.1%) 1910 (15.1%) 3.39 1.11
 LSM_sense …helps to recognize sense. 576 (4.5%) 1436 (11.3%) 3513 (27.8%) 5184 (40.9%) 1951 (15.4%) 3.51 1.03
 LSM_relax …helps to can relax my soul. 916 (7.2%) 2064 (16.3%) 2845 (22.5%) 4520 (35.7%) 2315 (18.3%) 3.42 1.17
 LSM_comfortable …makes me feeling comfortable. 594 (4.7%) 1619 (12.8%) 3104 (24.5%) 4983 (39.4%) 2360 (18.6%) 3.54 1.08
 LSM_authenticity …is a symbol for an authentic landscape. 707 (5.6%) 1709 (13.5%) 3228 (25.5%) 4934 (39.0%) 2082 (16.4%) 3.47 1.09
 LSM_intact-world …represents an intact world. 1170 (9.2%) 2176 (17.2%) 3066 (24.2%) 4169 (32.9%) 2079 (16.4%) 3.30 1.20
 LSM_self-experience …helps to experience myself. 892 (7.0%) 2049 (16.2%) 3666 (29.0%) 4139 (32.7%) 1914 (15.1%) 3.33 1.13
Utilitarian landscape perception
 LSM_progress …is a symbol for human progress. 1313 (10.4%) 2507 (19.8%) 3982 (31.4%) 3762 (29.7%) 1096 (8.7%) 3.06 1.12
 LSM_dominance …represents the dominance of humans over nature. 1687 (13.3%) 2711 (21.4%) 3100 (24.5%) 3671 (29.0%) 1491 (11.8%) 3.04 1.23

LSM = Landscape meaning, SD = standard deviation, N = 12,660 choice observations.

Table 3.

Description of items related to meanings ascribed to renewable energy infrastructure.

Item
Response distribution (number, percentage)
descriptives
Variable Description Strongly disagree disagree in between agree Strongly agree Mean SD
Meanings ascribed to wind energy infrastructure.
Perceived contribution to sustainability
 Wind_clean_energy …provide clean energy. 120 (0.9%) 375 (3.0%) 1800 (14.2%) 6435 (50.8%) 3930 (31.0%) 4.08 0.81
 Wind_create_jobs …potential to create jobs. 405 (3.2%) 1245 (9.8%) 3510 (27.7%) 5655 (44.7%) 1845 (14.6%) 3.58 0.96
 Wind_support_local_economy …support local economy. 270 (2.1%) 960 (7.6%) 4155 (32.8%) 5760 (45.5%) 1515 (12.0%) 3.58 0.87
 Wind_progress_humans …represent the progress of humans. 435 (3.4%) 900 (7.1%) 3210 (25.4%) 6255 (49.4%) 1860 (14.7%) 3.65 0.93
 Wind_solving_problems …contribute to solving the most important problems of humanity. 870 (6.9%) 1635 (12.9%) 3735 (29.5%) 4845 (38.3%) 1575 (12.4%) 3.36 1.07
 Wind_awakening …represent awakening. 525 (4.2%) 1140 (9.0%) 3525 (27.8%) 5415 (42.8%) 2055 (16.2%) 3.58 1.00
Perceived contribution to a mechanized world
 Wind_no_replacement …cannot replace other energy sources in Switzerland. 945 (7.5%) 3135 (24.8%) 3690 (29.1%) 3660 (28.9%) 1230 (9.7%) 3.09 1.10
 Wind_limited_yield …deliver limited yield. 420 (3.3%) 1875 (14.8%) 3825 (30.2%) 5250 (41.5%) 1290 (10.2%) 3.40 0.97
 Wind_distract …distract from really important measures. 1305 (10.3%) 3315 (26.2%) 4365 (34.5%) 2850 (22.5%) 825 (6.5%) 2.89 1.07
Meanings ascribed to ground-mounted PV infrastructures.
Perceived contribution to sustainability
 PVground_clean_energy …provide clean energy. 225 (1.8%) 615 (4.9%) 2010 (15.9%) 6345 (50.1%) 3465 (27.4%) 3.96 0.89
 PVground_create_jobs …potential to create jobs 285 (2.2%) 990 (7.8%) 3060 (24.2%) 6315 (49.9%) 2010 (15.9%) 3.69 0.91
 PVground_support_local_economy …support local economy. 225 (1.8%) 780 (6.2%) 3615 (28.5%) 6315 (49.9%) 1725 (13.6%) 3.67 0.85
 PVground_progress_humans …represent the progress of humans. 255 (2.0%) 885 (7.0%) 2835 (22.4%) 6570 (51.9%) 2115 (16.7%) 3.74 0.89
 PVground_solving_problems …contribute to solving the most important problems of humanity. 660 (5.2%) 1440 (11.4%) 3765 (29.7%) 5310 (41.9%) 1485 (11.7%) 3.44 1.01
 PVground_awakening …represent awakening. 390 (3.1%) 975 (7.7%) 3645 (28.8%) 5730 (45.3%) 1920 (15.2%) 3.62 0.94
Perceived contribution to a mechanized world
 PVground_no_replacement …cannot replace other energy sources in Switzerland. 1035 (8.2%) 3315 (26.2%) 3720 (29.4%) 3585 (28.3%) 1005 (7.9%) 3.02 1.09
 PVground_limited_yield …deliver limited yield. 525 (4.2%) 2175 (17.2%) 4185 (33.1%) 4740 (37.4%) 1035 (8.2%) 3.28 0.98
 PVground_distract …distract from really important measures. 1335 (10.5%) 3045 (24.1%) 4560 (36.0%) 3030 (23.9%) 690 (5.5%) 2.90 1.05
Meanings ascribed to roof-mounted PV infrastructures.
Perceived contribution to sustainability
 PVroof_clean_energy …provide clean energy. 180 (1.4%) 420 (3.3%) 1875 (14.8%) 5820 (46.0%) 4365 (34.5%) 4.09 0.86
 PVroof_create_jobs …potential to create jobs 225 (1.8%) 1050 (8.3%) 2790 (22.0%) 6240 (49.3%) 2355 (18.6%) 3.75 0.91
 PVroof_support_local_economy …support local economy. 210 (1.7%) 645 (5.1%) 3090 (24.4%) 6225 (49.2%) 2490 (19.7%) 3.80 0.87
 PVroof_progress_humans …represent the progress of humans. 210 (1.7%) 360 (2.8%) 2010 (15.9%) 6750 (53.3%) 3330 (26.3%) 4.00 0.83
 PVroof_solving_problems …contribute to solving the most important problems of humanity. 450 (3.5%) 1080 (8.5%) 3480 (27.5%) 5535 (43.7%) 2115 (16.7%) 3.61 0.98
 PVroof_awakening …represent awakening. 195 (1.5%) 555 (4.4%) 2565 (20.3%) 6420 (50.7%) 2925 (23.1%) 3.89 0.86
Perceived contribution to a mechanized world
 PVroof_no_replacement …cannot replace other energy sources in Switzerland. 1230 (9.7%) 3480 (27.5%) 3345 (26.4%) 3480 (27.5%) 1125 (8.9%) 2.98 1.14
 PVroof_limited_yield …deliver limited yield. 510 (4.0%) 2340 (18.5%) 4125 (32.6%) 4560 (36.0%) 1125 (8.9%) 3.27 0.99
 PVroof_distract …distract from really important measures. 1785 (14.1%) 3570 (28.2%) 3900 (30.8%) 2610 (20.6%) 795 (6.3%) 2.77 1.12

Note: SD = standard deviation, N = 12,660 choice observations.

Fig. 2.

Fig. 2:

Exemplary set of landscape-technology fit evaluation.

Table 4.

Description of items related to landscape-technology fit.

Item
Perceived fit of…
Response distribution (number, percentage)
descriptives
Variable Description very poor poor fair good very good Mean SD
LTF_Wind …wind energy infrastructure to presented landscape. 1876 (14.8%) 2146 (17.0%) 3044 (24.0%) 3542 (28.0%) 2052 (16.2%) 3.14 1.29
LTF_PVagria …PV-infrastructure mounted on agricultural land to presented landscape. 2394 (18.9%) 2909 (23.0%) 3154 (24.9%) 2828 (22.3%) 1375 (10.9%) 2.83 1.27
LTF_PVgrounda …PV-infrastructure mounted on other land to presented landscape. 2102 (16.6%) 2517 (19.9%) 3354 (26.5%) 3255 (25.7%) 1432 (11.3%) 2.95 1.25
LTF_PVroof …PV-infrastructure mounted on roofs to presented landscape. 832 (6.6%) 1037 (8.2%) 1864 (14.7%) 3426 (27.1%) 5501 (43.5%) 3.93 1.22
LTF_Power-line …power line infrastructure to presented landscape. 3160 (25.0%) 2821 (22.3%) 3301 (26.1%) 2394 (18.9%) 984 (7.8%) 2.62 1.26
Note:

SD = standard deviation, LTF = Landscape-technology fit, N = 12,660 choice observations.

a

The mean of these two variables was used to create a new variable reflecting ground-based PV infrastructure.

The second part of the online panel survey consisted of a discrete choice study in which respondents faced 15 consecutive choice tasks. Respondents were asked to choose among two landscape oriented renewable energy infrastructure alternatives and one opt-out option. Each of these alternatives (beside the opt-out option) had four attributes (landscape, wind energy infrastructure, PV infrastructure, power line infrastructure). Choice design, consecutive choice tasks and choice attributes are presented in Table 5. An exemplary choice task is illustrated in Salak et al. [2].

Table 5.

Description of choice tasks, choice attributes and attribute levels.

Choice Task Landscape Wind PV PL Landscape Wind PV PL opt out possibility
1 1 1 1 2 1 3 2 1 Yes
2 7 1 1 2 5 2 3 1 Yes
3 1 3 2 2 6 4 1 2 Yes
4 7 4 3 1 6 3 2 1 Yes
5 5 4 4 1 2 2 3 1 Yes
6 4 2 2 1 2 1 4 2 Yes
7 6 3 3 1 3 4 2 2 Yes
8 2 4 4 1 5 2 4 2 Yes
9 3 2 4 1 4 1 3 2 Yes
10 2 2 1 2 3 3 3 2 Yes
11 6 2 3 2 1 1 4 1 Yes
12 7 3 1 2 7 2 4 2 Yes
13 5 4 2 2 4 4 1 1 Yes
14 4 3 4 1 7 4 1 1 Yes
15 3 1 3 2 7 3 2 2 Yes

Choice 1 2 3

Attribute Landscape Attriute Wind energy infrastructure

1 Alp Near natural alpine areas 1 No Wind energy infrastructure
2 Pre_alp Northern prealps 2 Low Level of wind infrastructure
3 Alp_tour Touristic alpine areas 3 Medium level of wind infrastructure
4 Plat_agri Agricultural Plateau 4 High level of wind infrastructure
5 Plat_urb Urban plateau
6 Jura Jura ridges
7 Alp_urb Urban alpine valley

Attribute Photovoltaic infrastructure Attribute Power line

1 No PV infrastructure 1 Absence of high voltage overhead power lines
2 Low level of PV infrastructure 2 Presence of high voltage overhead power lines
3 Medium level of PV infrastructure
4 High level of PV infrastructure

For reasons of confidentiality we anonymized the data by removing all fields that would enable personal identification. The complete questionnaire, the dataset and data description are available on the Environmental Data Platform EnviDat of the Swiss Federal Institute for Forest, Snow and Landscape Research WSL (https://doi.org/10.16904/envidat.206).

2. Experimental Design, Materials and Methods

The representative online panel survey was open for response from November 2018 to March 2019. Within this time, two reminders were sent. The survey targeted active Swiss panel members of panel operator BILENDI. In five months of operation we received a total of 1026 responses. We administered the online questionnaire with the hosting service provided by Sawtooth, while respondents were provided by panel operator BILENDI GmbH. For the layout of the questionnaire we used Sawtooth's survey software Lighthouse Studio [3]. Data cleaning due to item-nonresponse led to a total number of 844 respondents (12,660 choice observations).

The questionnaire consisted of two main parts. The first part consisted of item-based questions regarding landscape and renewable energy infrastructure related aspects. The second part contained a stated choice experiment with fifteen consecutive choice tasks.

2.1. The item-based part

The first part of the questionnaire included questions regarding meanings ascribed to landscapes and renewable energy infrastructure, questions related to aspects of landscape-technology fit and questions examining the exposure of people to landscapes and renewable energy infrastructures. All items are presented in Table 1. Item description of items regarding landscape meanings, meanings ascribed to renewable energy infrastructure and landscape-technology fit are presented in Table 2, Table 3 and Table 4.

2.2. The choice experiment part

The choice experiment consisted of fifteen consecutive choice tasks. Ich each choice task respondents had to choose between three alternatives. Option 1 and 2 described mixed landscape related renewable energy scenarios (action), whereas option 3 described an opt-out (no-action). Relevant attributes and credible attribute levels were developed based literature research, project meetings and workshops with the project steering group from different disciplines We identified four relevant attributes and the respective levels. The choice design was generated with Ngene software [4] and was designed as d-efficient design that varies the attribute levels in Options 1 and 2. Attribute, attribute levels and the generated choice design are presented in Table 5. A detailed description of the attribute levels and the choice experiment can be found in the accompanying publication [2].

Ethics Statement

The participation in the survey was operated and organized by a panel provider. Respondent participation was voluntary and respondents were informed that the data will be analyzed anonymously. Data collection and handling were implemented in accordance with the social data gathering ethics regulations of the institution conducting this research.

CRediT Author Statement

Salak B.: Resources, Methodology, Conceptualization, Formal analysis, Investigation, Data Curation, Visualization, Writing - original draft; Lindberg K.: Methodology, Formal analysis, Writing - review & editing, Software, Validation; Kienast F.: Funding acquisition, Conceptualization, Writing - review & editing, Validation; Hunziker M.: Funding acquisition, Project administration, Conceptualization, Writing - review & editing, Validation, Supervision.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships which have or could be perceived to have influenced the work reported in this article.

Acknowledgments

This research was funded by the Swiss National Science Foundation (SNSF), National Research Programme NRP 70 “Energy Turnaround”, grant number 407040_173808/1 (ENERGYSCAPE). Further support was provided by the Swiss Federal Office of the Environment (FOEN), the Swiss Federal Office of Energy (SFOE), the Elektrizitätswerke des Kantons Zürich (EKZ), the Swissgrid AG, the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), and the Binding Stiftung. The authors bear sole responsibility for the findings and conclusions.

Visualizations used for the DCM in this study were developed within the mentioned Project ENERGYSCAPE and were developed in a leading role by Ulrike Wissen, Reto Spielhofer and Adrienne Grêt-Régamey (Swiss Federal Institute of Technology).

Footnotes

Supplementary material associated with this article can be found in the online version at doi:10.1016/j.dib.2021.107025.

Appendix. Supplementary materials

mmc1.pdf (3.4MB, pdf)

References

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This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

mmc1.pdf (3.4MB, pdf)

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