Abstract
An empirical model of joint decisions of where to live and work, how to get to workplace demonstrates that individuals make residential location, workplace location and mode choices by trading off wages, housing prices, and commuting cost, mainly commuting time. In the sense that its formulation is especially appealing because of its intuitive way of capturing even complex structures, a generalised extreme value model specified as Nested Logit (NL) are estimated in the joint residential, workplace location and travel mode choice context. Taken Beijing as a case study, results demonstrate that commuting time and commuters' socio-demographic characteristics have high correlation with this kind of joint choice with residential location as one of choice dimension and also reveals that commuters in Beijing make their residential and employment location and mode choice similarly to people in other cities but to slightly degree of magnitude.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010 |
| Pages | 1725-1729 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010 - Yantai, Shandong, China Duration: 10 Aug 2010 → 12 Aug 2010 |
Publication series
| Name | Proceedings - 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010 |
|---|---|
| Volume | 4 |
Conference
| Conference | 2010 7th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010 |
|---|---|
| Country/Territory | China |
| City | Yantai, Shandong |
| Period | 10/08/10 → 12/08/10 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Commute mode choice
- Direct elasticities
- Nested logit model
- Residential and workplace location
- Urban sprawl
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