Walking Trip Generation and Built Environment: A Comparative Study on Trip Purposes

Hosseinzadeh, Aryan and Baghbani, Asiye (2020): Walking Trip Generation and Built Environment: A Comparative Study on Trip Purposes. Published in: International Journal for Traffic & Transport Engineering , Vol. 3, No. 10 (16 July 2020): pp. 402-414.

Abstract

In recent decades, enhancing the share of walking in individuals’ daily trips has become a priority for transportation policymakers, urban planners and public health researchers as an interdisciplinary area. In this regard, determining influential factors on walking has become a matter of contention to move toward a sustainable mode of transportation. This study investigates the impact of the influencing factors on the share of walking in trip generation from/to Traffic Analysis Zones (TAZ) of a city across four trip purposes. In this study, individuals’ trip information for four trip purposes has been tested in order to detect influencing factors on walking trip generation based on 112 TAZs for the city of Rasht, Iran. According to the results, density and design are found to be more influential for produced walking trips and diversity is shown to be more effective for attracted walking trips.

• Item Type: MPRA Paper
• Language: English
• Keywords: walking, built environment, trip generation, transportation network design, population density, land use diversity
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C10 - General; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C18 - Methodological Issues: General; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R0 - General; R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R4 - Transportation Economics > R41 - Transportation: Demand, Supply, and Congestion ; Travel Time ; Safety and Accidents ; Transportation Noise

References

Abdoli, N., & Hosseinzadeh, A. (2021). Assessing Spatial Equity of Public Transit Demand amid COVID-19. In International Conference on Transportation and Development 2021 (pp. 513-520).

Adams, E. J., Bull, F. C., & Foster, C. E. (2016). Are perceptions of the environment in the workplace ‘neighbourhood’ associated with commuter walking?. Journal of Transport & Health, 3(4), 479-484.

Ahmed, T., Hyland, M., Sarma, N. J., Mitra, S., & Ghaffar, A. (2020). Quantifying the employment accessibility benefits of shared automated vehicle mobility services: Consumer welfare approach using logsums. Transportation Research Part A: Policy and Practice, 141, 221-247.

Azimi, N. (2005). Restructuring Urban Morphology: A Case study of Rasht, Iran.

Badland, H. M., Schofield, G. M., Witten, K., Schluter, P. J., Mavoa, S., Kearns, R. A., ... & McPhee, J. (2009). Understanding the Relationship between Activity and Neighbourhoods (URBAN) Study: research design and methodology. BMC Public Health, 9(1), 1-11.

Behbahani, H., Nazari, S., Kang, M. J., & Litman, T. (2019). A conceptual framework to formulate transportation network design problem considering social equity criteria. Transportation research part A: policy and practice, 125, 171-183.

Behbahani, H., Nazari, S., Partovifar, H., & Kang, M. J. (2019). Designing a road network using John Rawls’s social justice approach. Journal of Urban Planning and Development, 145(2), 05019002.

Bentley, R., Blakely, T., Kavanagh, A., Aitken, Z., King, T., McElwee, P., ... & Turrell, G. (2018). A longitudinal study examining changes in street connectivity, land use, and density of dwellings and walking for transport in Brisbane, Australia. Environmental health perspectives, 126(5), 057003.

Berrigan, D., Pickle, L. W., & Dill, J. (2010). Associations between street connectivity and active transportation. International journal of health geographics, 9(1), 1-18.

Boakye-Dankwa, E., Nathan, A., Barnett, A., Busija, L., Lee, R. S., Pachana, N., ... & Cerin, E. (2019). Walking behaviour and patterns of perceived access to neighbourhood destinations in older adults from a low-density (Brisbane, Australia) and an ultra-dense city (Hong Kong, China). Cities, 84, 23-33.

Cervero, R., & Duncan, M. (2006). 'Which reduces vehicle travel more: jobs-housing balance or retail-housing mixing?. Journal of the American planning association, 72(4), 475-490.

Dobesova, Z., & Krivka, T. (2012). Walkability index in the urban planning: A case study in Olomouc city. Advances in spatial planning, 179-196.

Ghaffar, A., Mitra, S., & Hyland, M. (2020). Modeling determinants of ridesourcing usage: A census tract-level analysis of Chicago. Transportation Research Part C: Emerging Technologies, 119, 102769.

Gehrke, S. R., & Clifton, K. J. (2017). A pathway linking smart growth neighborhoods to home-based pedestrian travel. Travel Behaviour and Society, 7, 52-62.

Habibian, M., Avaz, Z., & Hosseinzadeh, A. (2015). Sociological study of influence of citizen’s traffic ethics on driving violations: case study of Tehran, Iran (No. 15-6029).

Habibian, M., & Hosseinzadeh, A. (2018). Walkability index across trip purposes. Sustainable cities and society, 42, 216-225.

Haghani, M., Jalalkamali, R., & Berangi, M. (2019, October). Assigning crashes to road segments in developing countries. In Proceedings of the Institution of Civil Engineers-Transport (Vol. 172, No. 5, pp. 299-307). Thomas Telford Ltd.

Hatamzadeh, Y., & Hoseinzadeh, A. (2020). Toward a deeper understanding of elderly walking for transport: An analysis across genders in a case study of Iran. Journal of Transport & Health, 19, 100949.

Hosseinzadeh, A. (2019). Built environment and walking: short vs. long walking trips. arXiv preprint arXiv:2001.00640.

Hosseinzadeh, A., Algomaiah, M., Kluger, R., & Li, Z. (2021). Spatial analysis of shared e-scooter trips. Journal of transport geography, 92, 103016.

Hosseinzadeh, A., Algomaiah, M., Kluger, R., & Li, Z. (2021). E-scooters and sustainability: Investigating the relationship between the density of E-scooter trips and characteristics of sustainable urban development. Sustainable cities and society, 66, 102624.

Hosseinzadeh, A., Moeinaddini, A., & Ghasemzadeh, A. (2021). Investigating factors affecting severity of large truck-involved crashes: Comparison of the SVM and random parameter logit model. Journal of safety research.

Hosseinzadeh, A., Karimpour, A., Kluger, R., & Orthober, R. (2020). A framework to link crashes to emergency medical service runs and trauma admissions: for improved highway safety monitoring and crash outcome assessment. In Transportation Research Board. 99th Annual Meeting Transportation Research Board.

Hosseinzadeh, A. (2021). What affects how far individuals walk?. SN Applied Sciences, 3(3), 1-10.

Hosseinzadeh, A., & Kluger, R. (2021). Do EMS times associate with injury severity?. Accident Analysis & Prevention, 153, 106053.

Hosseinzadeh, A., & Kluger, R. Data Linkage for Traffic Safety in Jefferson County, Kentucky. In International Conference on Transportation and Development 2021 (pp. 243-250).

Hosseinzadeh, A., & Kluger, R. Analyzing the Impact of COVID-19 Pandemic on Micromobility Transportation. In International Conference on Transportation and Development 2021 (pp. 52-60).

Hosseinzadeh, A., Karimpour, A. and Kluger, R. (2021). Factors Influencing Shared Micromobility Services: An Analysis of E-Scooters and Bikeshare. Transportation Research Part D: Transport and Environment (In press).

Hosseinzadeh, A., Haghani, M., & Kluger, R. (2021). Exploring Influencing Factors on Crash-related Emergency Response Time: A Machine Learning Approach (No. TRBAM-21-00614).

Mahdinia, I., Habibian, M., & Shirazian, G. R. (2017). An Index-based Method to Evaluate the Economic Term of Sustainable Transportation. Journal of Transportation Research, 14(4), 19-31.

Mansourkhaki, A., Berangi, M., Haghiri, M., & Haghani, M. (2018). A neural network noise prediction model for Tehran urban roads. Journal of Environmental Engineering and Landscape Management, 26(2), 88-97.

Jacobsen, P.L. 2015. Safety in numbers: more walkers and bicyclists, safer walking and bicycling, Injury prevention 21(4): 271-275.

Mohammadi, R., Golroo, A., & Hasani, M. (2018). Effect of traffic information on travel time of medium-distance trips: A case study in Tehran. Promet-Traffic&Transportation, 30(3), 281-291.

Schlossberg, M. (2006). From TIGER to audit instruments: Measuring neighborhood walkability with street data based on geographic information systems. Transportation Research Record, 1982(1), 48-56.

Southworth, M. (2005). Designing the walkable city. Journal of urban planning and development, 131(4), 246-257.

Sugiyama, T., Rachele, J. N., Gunn, L. D., Burton, N. W., Brown, W. J., & Turrell, G. (2019). Land use proportion and walking: Application of isometric substitution analysis. Health & place, 57, 352-357.

Talen, E., & Koschinsky, J. (2013). The walkable neighborhood: A literature review. International journal of sustainable land use and urban planning, 1(1).

Yang, Y., & Diez-Roux, A. V. (2012). Walking distance by trip purpose and population subgroups. American journal of preventive medicine, 43(1), 11-19.