The determinants of shopping duration on workdays in The Netherlands

Abstract While many studies of the duration of shopping episodes have considered the impact of sociodemographic variables, such as gender or income, few if any have considered spatial variation in the duration of shopping activities. This paper reports a study seeking to establish how the duration of shopping episodes varies with characteristics of the built environment in addition to other factors that are claimed to influence the duration of shopping episodes––temporal constraints, the monetary budget available and the activity/travel context of the shopping activity. The data used are derived from working male and female heads of household included in the 1998 Netherlands National Travel Survey. The results indicate that shopping duration on workdays is affected by temporal constraints, the activity/travel episodes conducted before or after the shopping activity, and the urban setting in which they are executed. Shopping episodes on workdays tend to take more time as the degree of urbanization of the urban setting is higher; the magnitude of this effect varies, however, with the time of day and gender.

[1]  Mariette Kraan,et al.  Time to travel? A model for the allocation of time and money. , 1996 .

[2]  Martin Dijst,et al.  Time windows in workers' activity patterns: Empirical evidence from the Netherlands , 2003 .

[3]  F. Koppelman,et al.  History Dependency in Daily Activity Participation and Time Allocation for Commuters , 2002 .

[4]  M. Dijst,et al.  Travel-time ratios for visits to the workplace: the relationship between commuting time and work duration , 2002 .

[5]  Fred L. Mannering,et al.  Temporal stability of travelers' activity choice and home-stay duration: Some empirical evidence , 1994 .

[6]  R. Dholakia.  Going shopping: key determinants of shopping behaviors and motivations , 1999 .

[7]  Donggen Wang.  Impacts of institutional policies on individuals' participation in non-work activities , 2001 .

[8]  David Damm,et al.  Toward a model of activity scheduling behavior , 1979 .

[9]  Ilan Salomon,et al.  How Derived is the Demand for Travel? Some Conceptual and Measurement Considerations , 2001 .

[10]  David A. Schoenfeld,et al.  Partial residuals for the proportional hazards regression model , 1982 .

[11]  Torsten Hägerstraand.  WHAT ABOUT PEOPLE IN REGIONAL SCIENCE , 1970 .

[12]  Debbie A. Niemeier,et al.  Duration of trip-making activities by men and women , 1996 .

[13]  Randall Crane,et al.  Cars and Drivers in the New Suburbs: Linking Access to Travel in Neotraditional Planning , 1994 .

[14]  G. Brundtland,et al.  Our common future , 1987 .

[15]  S. Handy.  Understanding the Link Between Urban Form and Nonwork Travel Behavior , 1995 .

[16]  David M Levinson,et al.  Space, money, life-stage, and the allocation of time , 1999 .

[17]  D. Evers.  The Rise (and fall?) of National Retail Planning , 2002 .

[18]  G. H. Brundtland.  World Commission on environment and development , 1985 .

[19]  Bruce Tonn,et al.  A Sociopsychological Contribution to the Theory of Individual Time-Allocation , 1984 .

[20]  Ryuichi Kitamura,et al.  BASIC PROPERTIES OF URBAN TIME-SPACE PATHS: EMPIRICAL TESTS , 1981 .

[21]  Fred L. Mannering,et al.  HAZARD-BASED DURATION MODELS AND THEIR APPLICATION TO TRANSPORT ANALYSIS. , 1994 .

[22]  John W. Polak,et al.  Time allocation in urban and transport settings: an international, inter-urban perspective , 2002 .

[23]  Chandra Bhat,et al.  Modeling the Commute Activity-Travel Pattern of Workers: Formulation and Empirical Analysis , 2001, Transp. Sci..

[24]  Debbie A. Niemeier,et al.  Analysis of activity duration using the Puget sound transportation panel , 2000 .

[25]  M. Dijst,et al.  A Microlevel Analysis of Residential Context and Travel Time , 2002 .

[26]  K. Axhausen,et al.  Activity‐based approaches to travel analysis: conceptual frameworks, models, and research problems , 1992 .

[27]  Torsten Hägerstrand,et al.  What about people in Regional Science? , 1970 .

[28]  M. Dijst,et al.  Travel time ratio: the key factor of spatial reach , 2000 .

[29]  Kazuo Yamaguchi,et al.  Event History Analysis. , 1992 .

[30]  R. E. Milliman,et al.  Atmospheric Effects on Shopping Behavior: A Review of the Experimental Evidence , 2000 .

[31]  D. Cox.  Regression Models and Life-Tables , 1972 .

[32]  Chandra R. Bhat,et al.  A hazard-based duration model of shopping activity with nonparametric baseline specification and nonparametric control for unobserved heterogeneity , 1996 .