| Abstract | |
| Survey Number | 1468 |
| Survey Title | Geo-social survey for Urban Lifestyle Preferences (GULP)(Metro survey), 2020 |
| Depositor | Hanibuchi Tomoya |
| Restriction of Use |
For detailed information, please refer to 'For Data Users' on the SSJDA website.
- Apply to SSJDA. SSJDA's approval is required. |
| Educational Purpose | Available for both research and instructional purposes. |
| Period of Data Use Permission | One year |
| Access to Datasets | Download |
| SSJDA Data Analysis | Not available |
| Summary |
Recent studies in social science, including human geography, increasingly investigate the correlational and causal relationships between individuals and their regions. These studies highlight the need for "multilevel geographic data," which integrates geospatial information with survey microdata based on address information, as well as statistical methods to analyze such data. However, in Japan, data with detailed address information and a wide range of questions can be limited. Therefore, the construction and publication of such multilevel geographic data are important and urgent issues. Against this background, this research group began work in FY2017 to construct large-scale multilevel geographic data using online surveys, which are both cost-effective and fast. An online survey was conducted between October and November 2020, primarily targeting residents of major Japanese cities. The survey and dataset are called the Geo-social survey for Urban Lifestyle Preferences (GULP). GULP comprises microdata from three surveys, each with different target areas and methods. The main component is the "Metro Survey," an online survey of residents living in Tokyo and 20 ordinance-designated cities. The two benchmarking surveys are the "Nonmetro Survey," which used the same online method to survey areas outside those covered in the Metro survey, and the "Nationwide postal survey," a postal survey conducted with a quasi-randomly recruited panel. All three surveys used a common set of questions, allowing for comparisons across regions and survey methods. Additionally, each survey collected detailed address information, at the house number level (or postal code), in principle. The GULP microdata was collected simultaneously with the Census, which is conducted every five years, enabling linkage to the small-area statistics of the Census with minimal time lag. Most questionnaires were completed shortly after the survey's start in early November, suggesting that the impact of the "third wave" of the COVID-19 pandemic from mid-November through the year-end and New Year period was limited. This data (1468) was obtained through the "Metro survey", part of the GULP". Data obtained from other surveys are provided as "Nonmetro survey" (1469) and "Nationwide postal survey" (1470). The municipality of residence (city, ward, town, and village) of respondents in this data is provided separately as "Restricted Data" (1471). |
| Data Type | quantitative research: micro data |
| Universe | Respondents aged 20–69, living in the 21 major cities in Japan (Tokyo special wards and 20 ordinance-designated cities) |
| Unit of Observation | Individual |
| Sample Size |
The final number of responses: 30,000 (The sum of Metro and Nonmetro survey) Total number of invitation: 234,483 Number of responses to screening survey: 90,676 Responses to screening survey only: 57,676 |
| Date of Collection | From October 31, 2020, to November 30, 2020 |
| Time Period | |
| Spatial Unit | Tokyo special wards and 20 ordinance-designated cities (21 major cities) |
| Sampling Procedure | Respondents were recruited from registered panelists of the JAPAN Cloud Panel. A quota sampling was used to ensure that the number of respondents by city (21 categories), gender (2 categories), and age (5 categories) were proportional to the population, based on the Basic Resident Register as of 2020. |
| Mode of Data Collection | Web survey of registered panelists |
| Investigator | Tomoya Hanibuchi, The actual data collection was made by Nippon Research Center Ltd. |
| DOI | |
| Sponsors (Funds) | |
| Related Publications (by the Investigator) |
Hanibuchi T, Nakaya T, Uesugi M, Inoue S. 2020. Constructing Multilevel Geographic Data Using an Online Survey and Systematic Social Observation. Geographical review of Japan series A 93(3):173-192. [in Japanese] Hanibuchi T, Muranaka A. (eds.) 2018. Regions and statistics: An online survey in “an age of survey difficulty. Nakanishiya Shuppan. [in Japanese] Hanibuchi T. (ed.) 2022. Mapping Japan's major cities using a social survey. Kokon Shoin. [in Japanese] |
| Related Publications (based on Secondary Analysis) | List of related publications (based on Secondary Analysis) |
| Documentation | [Questionnaire] |
| Major Survey Items |
・Individual attributes Age, gender, place of residence (postal code and address), years of residence, marital status, number and relationship of persons living together, type of residence, educational background, household income, working status, employment status, and occupation. ・Regional questions Livability, perception of urbanity, community satisfaction (convenience, safety, human relations, recreation/culture, nature/climate), attitudes toward community (attachment, willingness to contribute, landscape preservation, ties to life, reputation, community residents' attachment), neighborhood relations (trust, mutual help, degree of knowing, sense of belonging), impact of increased migration (economy, culture, human relations, security), neighborhood environment (stores, public facilities, parks, public transportation, walking paths, streets with accident concerns, security concerns, graffiti/trash, dilapidated buildings, attractive landscapes), changes in the community over the past 5 years, community outlook in 50 years, group activity participation (community, children, hobbies, politics, social activities), means of transportation (car (driving), car (passenger), taxi, bus, train, bicycle), and use of location information. ・General questions ※ The "general questions" were split into questionnaire versions [A], [B], and [C], each of which were presented randomly to one-third of the respondents. Questionnaire version [A] Social attitudes (subjective happiness, conservative-liberal ideology, subjective social class), Attitudes toward science (trust, merits/demerits, liberal arts/science), health (self-rated health, smoking, walking time, opinions about control of, vaccination against, and residents' reaction to COVID-19), and pet ownership Questionnaire version [B] Social attitudes (subjective happiness, conservative-liberal ideology, subjective social class), consumption and lifestyle (online shopping, use of shared services, opinions about environment and energy, experience with donations, third place), residential mobility (hometown, attachment to hometown, future residential preferences [current location, hometown, rural area, provincial city, metropolitan area], number of prefectures/countries visited/resided, important things (job success, marriage, friends, stable job, hobbies), and gendered division of labor Questionnaire version [C] Social attitudes (subjective happiness, conservative-liberal ideology, subjective social class), responses to 2020 census (respondents, response method, non-response items, knowledge about census), disaster prevention (disaster risk perception [earthquake, tsunami, river flooding, storm surge, landslide], evacuation experience, disaster preparedness), and recognition of disparities (income inequality, regional differences) |
| Date of Release | 2022/10/13 |
| Topics in CESSDA |
Click here for details |
| Topics in SSJDA | Society/Culture |
| Version | 1 ： 2022-10-13 2 ： 2024-10-21 |
| Notes for Users |
・For confidentiality reasons, a separate application for 'Restricted Data' (1471) is required for the municipality of residence (city, ward, town, or village). ・Open-ended descriptions of changes caused by the COVID-19 pandemic (A11) are not provided. ・For background information, an overview of the study, and overall results, please refer to the following books: Hanibuchi T. (ed.) 2022. Mapping Japan's major cities using a social survey. Kokon Shoin. [in Japanese] |