Commuting distances in a household location choice model with amenities

2008 ◽  
Vol 63 (1) ◽  
pp. 116-129 ◽  
Author(s):  
Chen Feng Ng
2015 ◽  
Vol 2015 ◽  
pp. 1-9
Author(s):  
Pengpeng Jiao ◽  
Meiqi Liu ◽  
Jin Guo

With the rapid development of urbanization and motorization, urban commute trips are becoming increasingly serious due to the unbalanced distribution of residence and workplace land-use types in most Chinese cities. To explore the inherent interrelations among residence location, workplace, and commute trip, an integrated model framework of joint residence-workplace location choice and commute behavior is put forward based on the personal trip survey data of Beijing in 2005. First, to extract households’ different choice characteristics, this paper presents a latent class model, clusters all households into several groups, and analyzes the conditional probability of each group. Second, the paper integrates the residence location and workplace together as the joint choice alternative, employs the socioeconomic factors, individual attributes, household attributes, and trip characteristics as explanatory variables, and formulates the joint residence-workplace location choice model using mixed logit method. Estimations of the latent class model show that four latent groups fit the data best. Further results of the joint residence-workplace location choice model indicate that there exist significantly different choice characteristics in each latent group. Generally, the integrated model framework outperforms traditional location choice methods.


1982 ◽  
Vol 35 (1) ◽  
pp. 106-120 ◽  
Author(s):  
Norman Carruthers ◽  
Aidan R. Vining

The public choice model of urban residential location offers an opportunity to integrate economic and political models of migration, and thus has broad applicability as a positive model of both individual behavior and national policies relating to international migration. The authors describe the basic economic model of the urban migration process and explore its dynamics. They utilize this model to explain the migratory behavior of individuals and groups and the reactions of national governments, whether “sending” or “receiving” the migrants. Finally, they examine the policy implications of such a model.


REGION ◽  
2015 ◽  
Vol 2 (1) ◽  
pp. 67 ◽  
Author(s):  
Jonathan Jones ◽  
Isabelle Thomas ◽  
Dominique Peeters

This paper proposes an empirical analysis of the sensitivity of Discrete Choice Model (DCM) to the size of the spatial units used as choice set (which relates to the well-known Modifiable Areal Unit Problem). Job's location choices in Brussels (Belgium) are used as the case study. DCMs are implemented within different Land Use and Transport Interactions (LUTI) models (UrbanSim, ILUTE) to forecast jobs or household location choices. Nevertheless, no studies have assessed their sensitivity to the size of the Basic Spatial Units (BSU) in an urban context. The results show significant differences in parameter estimates between BSUs. Assuming that new jobs are distributed among the study area proportionally to the utility level predicted by the DCM for each BSU (as in a LUTI model), it is also demonstrated that the spatial distribution of these new jobs varies with the size of the BSUs. These findings mean that the scale of the BSU used in the model can influence the output of a LUTI model relying on DCM to forecast location choices of agents and, therefore, have important operational implications for land-use planning.


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