Technical Papers
Mar 8, 2016

Impact of Improved Accessibility on Shopping Activity: Person-Based Measure

Publication: Journal of Urban Planning and Development
Volume 142, Issue 3

Abstract

Accessibility has long been considered as an important factor that influences activity generation, especially nonwork activities. However, the conclusions on whether greater accessibility leads to more travel have been mixed. One reason for the conflicting results is that individual heterogeneity is not taken into account in the previous location-based accessibility measures. This paper fills this gap by operationalizing a person-based space-time accessibility (STA) measure based on the individual’s spatial-temporal constraints. A discrete-continuous model of shopping activity participation and duration is developed incorporating this STA measure in order to investigate the influences of accessibility on activity generation. Using data from a global positioning system (GPS)–based activity travel survey from the Shangdi area of Beijing, China, this paper confirms that accessibility remains a significant positive effect on shopping activity generation. This implies that an individual’s spatial-temporal constraints should be taken into consideration to explore the effect of land use on travel behavior.

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Acknowledgments

The research presented in this paper is funded by Key Projects in the National Science and Technology Pillar Program during the Twelfth Five-Year Plan Period. The authors thank Ministry of Science and Technology (MOST, China) for providing funds for the project. The first author gratefully acknowledges financial support from the China Scholarship Council (CSC).

References

Ben-Akiva, M., and Lerman, S. R. (1985). Discrete choice analysis, MIT Press, Cambridge, MA.
Bhat, C. R. (2001). “Modeling the commute activity-travel pattern of workers: Formulation and empirical analysis.” Transp. Sci., 35(1), 61–79.
Bhat, C. R. (2005). “A multiple discrete continuous extreme value model: Formulation and application to discretionary time-use decisions.” Transp. Res. Part B, 39(8), 679–707.
Burns, L. D. (1979). Transportation, temporal and spatial components of accessibility, Lexington Books, Lexington, MA.
Crane, R. (1996). “On form versus function: Will the new urbanism reduce traffic, or increase it?” J. Plan. Educ. Res., 15(2), 117–126.
Ewing, R., Deanna, M., and Li, S. C. (1996). “Land use impacts on trip generation rates.” Transp. Res. Rec., 1518(1), 1–6.
Fang, H. A. (2008). “A discrete-continuous model of households’ vehicle choice and usage, with an application to the effects of residential density.” Transp. Res. Part B, 42(9), 736–758.
Feng, J., Dijst, M., and Wissink, B. (2013). “The impacts of household structure on the travel behaviour of seniors and young parents in China.” J. Transp. Geogr., 30(2), 117–126.
Froehlich, P. (2008). “Changes in travel behavior of commuters between 1970 and 2000.” Transp. Res. Rec., 2082(1), 35–42.
Geurs, K. T., and Wee, B. (2004). “Accessibility evaluation of land-use and transport strategies: Review and research directions.” J. Transp. Geogr., 12(2), 127–140.
Giuliano, G., and Golob, T. F. (1990). “Staggered work hours for traffic management: A case study.” Transp. Res. Rec., 1280, 46–58.
Golob, T. F. (2000). “A simultaneous model of household activity participation and trip chain generation.” Transp. Res. Part B, 34(5), 355–376.
Gutiérrez-i-Puigarnau, E., and van Ommeren, J. N. (2012). “Start time worker compensation: Implications for staggered-hours programs.” J. Transp. Econ. Policy, 46(1), 1–16.
Habib, K. M. N., and Miller, E. J. (2008). “Modeling daily activity program generation considering within day and day-to-day dynamics in activity travel behavior.” Transportation, 35(4), 467–484.
Hägerstrand, T. (1970). “What about people in regional science?” Pap. Reg. Sci. Assoc., 24(1), 7–24.
Hamed, M. M., and Easa, S. M. (1998). “Integrated modeling of urban shopping activities.” J. Urban Plann. Dev., 115–131.
Hamed, M. M., and Mannering, F. L. (1993). “Modeling travelers’ post work activity involvement: Toward a new methodology.” Transp. Sci., 27(4), 381–394.
Handy, S. L. (1993). “Regional versus local accessibility: Implications for nonwork travel.” Transp. Res. Rec., 1400(1), 58–66.
Huntsinger, L. F., Rouphail, N. M., and Bloomfield, P. (2013). “Trip generation models using cumulative logistic regression.” J. Urban Plann. Dev., 176–184.
Islam, M. S., Rahaman, K. P., and Ahmed, S. J. (2008). “Demand of participants or supply of opportunities: Measuring accessibility of activity places based on time geographic approach.” J. Urban Plann. Dev., 159–165.
Kim, H. M., and Kwan, M. P. (2003). “Space-time accessibility measures: A geocomputational algorithm with a focus on the feasible opportunity set and possible activity duration.” J. Geogr. Syst., 5(1), 71–91.
Kitamura, R., Akiyama, T., Yamamoto, T., and Golob, T. (2001). “Accessibility in a metropolis: Toward a better understanding of land use and travel.” Transp. Res. Rec., 1780(1), 64–75.
Kockelman, K. M. (1997). “Travel behavior as function of accessibility, land use mixing, and land use balance: Evidence from San Francisco Bay area.” Transp. Res. Rec., 1607(1), 116–125.
Kwan, M. P. (1998). “Space-time and integral measures of individual accessibility: A comparative analysis using a point-based framework.” Geogr. Anal., 30(3), 191–216.
Kwan, M. P., and Hong, X. D. (1998). “Network-based constraint-oriented choice set formation using GIS.” J. Geogr. Syst., 5(1), 139–162.
Kwan, M. P., and Weber, J. (2003). “Individual accessibility revisited: Implications for geographical analysis in the twenty-first century.” Geogr. Anal., 35(4), 341–353.
Kwan, M. P., and Weber, J. (2008). “Scale and accessibility: Implications for the analysis of land use travel interaction.” Appl. Geogr., 28(2), 110–123.
Lee, B., Waddell, P., Wang, L., and Pendyala, R. M. (2010). “Reexamining the influence of work and nonwork accessibility on residential location choices with a microanalytic framework.” Environ. Plann. A, 42(4), 913–930.
Lee, M., and Goulias, K. G. (1997). “Accessibility indicators for transportation planning using GIS.” 76th Annual Transportation Research Board Meeting, Transportation Research Board, Washington, DC.
Limanond, T., and Niemeier, D. A. (2004). “Effect of land use on decisions of shopping tour generation: A case study of three traditional neighborhoods in WA.” Transportation, 31(2), 153–181.
Liu, X., and Zhou, J. (2014). “Spatial pattern of land use and its implications for mode-based accessibility: Case study of Nanjing, China.” J. Urban Plann. Dev., 05014012.
Liu, Y., Tremblay, J. M., and Cirillo, C. (2014). “An integrated model for discrete and continuous decisions with application to vehicle ownership, type and usage choices.” Transp. Res. Part A, 69, 315–328.
Mannering, F., and Hensher, D. (1987). “Discrete/continuous econometric models and their application to transport analysis.” Transp. Rev., 7(3), 227–244.
Mokhtarian, P. L., and Cao, X. (2008). “Examining the impacts of residential self-selection on travel behavior: A focus on methodologies.” Transp. Res. Part B, 42(3), 204–228.
Nasri, A., and Zhang, L. (2014). “Assessing the impact of metropolitan-level, county-level, and local-level built environment on travel behavior: Evidence from 19 U.S. urban areas.” J. Urban Plann. Dev., 04014031.
Neutens, T., Schwanen, T., and Witlox, F. (2011). “The prism of everyday life: Towards a new research agenda for time geography.” Transp. Rev., 31(1), 25–47.
Neutens, T., Schwanen, T., Witlox, F., and De Maeyer, P. (2010). “Equity of urban service delivery: A comparison of different accessibility measures.” Environ. Plann. A, 42(7), 1613–1635.
Pendyala, R. M., Yamamoto, T., and Kitamura, R. (2002). “On the formation of time-space prisms to model constraints on personal activity-travel engagement.” Transportation, 29(1), 73–94.
Scott, D. M., and He, S. Y. (2012). “Modeling constrained destination choice for shopping: A GIS-based, time-geographic approach.” J. Transp. Geogr., 23(3), 60–71.
Soe, S. E., Ohmori, N., and Harata, N. (2013). “Effects of household structure and accessibility on travel.” Transportation, 40(4), 847–865.
Srinivasan, S., and Bhat, C. R. (2006). “A multiple discrete-continuous model for independent and joint discretionary activity participation decisions.” Transportation, 33(5), 497–515.
Thill, J. C., and Kim, M. (2005). “Trip making, induced travel demand, and accessibility.” J. Geogr. Syst., 7(2), 229–248.
Van den Berg, P., Arentze, T., and Timmermans, H. (2011). “Estimating social travel demand of senior citizens in the Netherlands.” J. Transp. Geogr., 19(2), 323–331.
Vickerman, R. W. (1974). “Accessibility, attraction, and potential: A review of some concepts and their use in determining mobility.” Environ. Plann. A, 6(6), 675–691.
Weber, J., and Kwan, M. P. (2002). “Bringing time back in: A study on the influence of travel time variations and facility opening hours on individual accessibility.” Prof. Geogr., 54(2), 226–240.
Weis, C., and Axhausen, K. W. (2009). “Induced travel demand: Evidence from a pseudo panel data based structural equations model.” Res. Transp. Econ., 25(1), 8–18.
Ye, X., and Pendyala, R. M. (2009). “A probit-based joint discrete-continuous model system: Analyzing the relationship between timing and duration of maintenance activities.” 18th Int. Symp. on Transportation and Traffic Theory (ISTTT), Springer, New York.
Yoon, S. Y., Deutsch, K., Chen, Y., and Goulias, K. G. (2012). “Feasibility of using time-space prism to represent available opportunities and choice sets for destination choice models in the context of dynamic urban environments.” Transportation, 39(4), 807–823.
Yoon, S. Y., and Goulias, K. G. (2010). “Impact of time-space prism accessibility on time use behavior and its propagation through intra-household interaction.” Transp. Lett., 2(4), 245–260.

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Go to Journal of Urban Planning and Development
Journal of Urban Planning and Development
Volume 142Issue 3September 2016

History

Received: Apr 22, 2015
Accepted: Nov 19, 2015
Published online: Mar 8, 2016
Discussion open until: Aug 8, 2016
Published in print: Sep 1, 2016

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Ph.D. Candidate, Institute of Transportation Engineering, Tsinghua Univ., 312 Heshanheng Bldg., Beijing 100084, China (corresponding author). E-mail: [email protected]
Huapu Lu
Professor, Institute of Transportation Engineering, Tsinghua Univ., 313 Heshanheng Bldg., Beijing 100084, China.
Xu Sun
Assistant Professor, Dept. of Civil Engineering, Hohai Univ., Science Bldg., Nanjing, Jiangsu 210098, China.

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