Carsharing-facilitating neighbourhood choice
| Autor: | Harry Timmermans, GZ Gamze Dane, Juan Wang |
|---|---|
| Přispěvatelé: | Information Systems Built Environment, Urban Planning and Transportation, EAISI Mobility |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Geography
Planning and Development 0211 other engineering and technologies Target groups Real estate 02 engineering and technology SDG 9 – Industrie Work status Urban planning Mixed logit 0502 economics and business Human geography Innovation Neighbourhood (mathematics) 050210 logistics & transportation Public economics 05 social sciences 021107 urban & regional planning Housing type innovatie en infrastructuur SDG 11 – Duurzame steden en gemeenschappen SDG 11 - Sustainable Cities and Communities Carsharing-facilitating neighbourhood Urban Studies Stated choice experiment and Infrastructure Mixed logit model SDG 9 - Industry Innovation and Infrastructure Business SDG 9 - Industry |
| Zdroj: | Journal of Housing and the Built Environment, 36(3), 1033-1054. Springer |
| ISSN: | 1573-7772 1566-4910 |
| Popis: | Carsharing-facilitating neighbourhood is an emerging concept in urban development that combines carsharing, sustainable transportation-residential planning, and attractive housing to reduce private car use and improve neighbourhood quality. To investigate residents’ preferences for such neighbourhoods, a stated choice experiment was designed that systematically varied attributes of carsharing-facilitating neighbourhoods to elicit their utility for people with a particular socio-demographic profile. The survey was conducted among residents who currently live in densely populated urban areas in The Netherlands. In total, 610 valid responses were obtained for analysis. To derive the utility of carsharing-facilitating neighbourhoods of a particular profile, a mixed logit model was estimated. Results indicate that the utility of a carsharing-facilitating neighbourhood primarily depends on carsharing cost, required carsharing booking time, green space density, housing costs, housing type, housing size and housing building year. Besides, the utility varies with socio-demographic characteristics, such as age, household composition, net monthly income, work status and education level. The estimated results can help policymakers and real estate developers understand the contribution of particular factors to the utility of carsharing-facilitating neighbourhoods, and determine target groups to develop implementation strategies. |
| Databáze: | OpenAIRE |
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