The impact of metropolitan structure on commute behavior in the Netherlands: A multilevel approach

被引:181
作者
Schwanen, T [1 ]
Dieleman, FM [1 ]
Dijst, M [1 ]
机构
[1] Univ Utrecht, Dept Geosci, Utrecht, Netherlands
关键词
D O I
10.1111/j.1468-2257.2004.00251.x
中图分类号
F0 [经济学]; F1 [世界各国经济概况、经济史、经济地理]; C [社会科学总论];
学科分类号
0201 ; 020105 ; 03 ; 0303 ;
摘要
This paper documents the investigation of the impact of metropolitan structure on the commute behavior of urban residents in the Netherlands. Not only has the impact of monocentrism versus polycentrism been analyzed, but the influence of metropolitan density and size has also been considered, together with the ratio of employment to population and the growth of the population and employment. Furthermore, data are used at a variety of levels of analysis ranging from the individual worker to the metropolitan region rather than being drawn from aggregate level statistics alone. Multilevel regression modeling is applied to take account of the interdependencies among these levels of aggregation. With regard to mode choice, the results indicate that the probability of driving an auto to work is lower in employment-rich metropolitan regions, and rises as the number of jobs per resident has grown strongly. Furthermore, women in most polycentric regions are less likely to commute as an auto driver. All else being equal, commute distances and times for auto drivers are longer in most polycentric regions than in monocentric urban areas. In addition, commute time as an auto driver rises with metropolitan size, whereas commute distance depends on employment density and the growth of the number of jobs per resident. The investigation shows that metropolitan structure, although significantly influencing commute patterns, explains only a small part of the variation of individuals' commute behavior.
引用
收藏
页码:304 / 333
页数:30
相关论文
共 47 条
[1]  
Anas A, 1998, J ECON LIT, V36, P1426
[2]   Location and local networks of ICT firms in the Netherlands [J].
Atzema, O .
TIJDSCHRIFT VOOR ECONOMISCHE EN SOCIALE GEOGRAFIE, 2001, 92 (03) :369-378
[3]  
Ben-Akiva M., 1985, Discrete choice analysis: theory and application to travel demand
[4]   A multi-level cross-classified model for discrete response variables [J].
Bhat, CR .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2000, 34 (07) :567-582
[5]  
BOLOTTE L, 1991, BUILT ENV, V17, P160
[6]  
Buliung RN., 2002, Journal of Transport Geography, V10, P177, DOI [10.1016/S0966-6923(02)00010-8, DOI 10.1016/S0966-6923(02)00010-8]
[7]   Modelling complexity: Analysing between-individual and between-place variation - A multilevel tutorial [J].
Bullen, N ;
Jones, K ;
Duncan, C .
ENVIRONMENT AND PLANNING A, 1997, 29 (04) :585-609
[8]   JOBS-HOUSING BALANCING AND REGIONAL MOBILITY [J].
CERVERO, R .
JOURNAL OF THE AMERICAN PLANNING ASSOCIATION, 1989, 55 (02) :136-150
[9]   Sub-centring and commuting: Evidence from the San Francisco Bay Area, 1980-90 [J].
Cervero, R ;
Wu, KL .
URBAN STUDIES, 1998, 35 (07) :1059-1076
[10]   Polycentrism, commuting, and residential location in the San Francisco Bay Area [J].
Cervero, R ;
Wu, KL .
ENVIRONMENT AND PLANNING A, 1997, 29 (05) :865-886