GIS based destination accessibility via public transit and walking in Auckland, New Zealand

Journal of Transport Geography

Volumn 20, Issue 1, 2012, Pages 15-22

  Mavoa, Suzanne ^a   Witten, Karen ^a   McCreanor, Tim ^a   O'Sullivan, David ^b  

^a MASSEY UNIVERSITY   (New Zealand)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Accessibility; GIS; Public transit; Transport; Walking

Indexed keywords

ACCESSIBILITY; CAR USE; FREQUENCY ANALYSIS; GIS; PUBLIC TRANSPORT; TRAVEL BEHAVIOR; URBAN POPULATION; WALKING;

AUCKLAND; NEW ZEALAND; NORTH ISLAND;

EID: 84858800481     PISSN: 09666923     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jtrangeo.2011.10.001     Document Type: Article

References (43)

1. Apparicio, P., Abdelmajid, M., Riva, M., Shearmur, R., 2008. Comparing alternative approaches to measuring the geographical accessibility of urban health services: distance types and aggregation-error issues. Int. J. Health Geogr. 7 (published online February 18).
2. Benenson, I., Martens, K., Rofe, Y., Kwartler, A., 2009. Public Transport Versus Private Car: GIS-Based Estimation of Accessibility Applied to the Tel Aviv Metropolitan Area in Israel, TRB 89th Annual Meeting, Washington, DC.
3. Biba S., Curtin K.M., Manca G. A new method for determining the population with walking access to transit. Int J Geogr Inf Sci 2010, 24:347-364.
4. Burke M., Brown A.L. Distances people walk for transport. Road Transport Res. 2007, 16:16-28.
5. Burke, M., Brown, L., 2007b. Active transport in Brisbane: how much is happening and what are its characteristics? In: Proceedings of State of Australian Cities National Conference 2007.
6. Burns C.M., Inglis A.D. Measuring food access in Melbourne: access to healthy and fast foods by car, bus and foot in an urban municipality in Melbourne. Health Place 2007, 13:877-885.
7. Chapleau, R., Morency, C., 2005. Dynamic spatial analysis of urban travel survey data using GIS. In: 2005 ESRI International User Conference Proceedings.
8. Cheng C., Agrawal A.W. TTSAT: a new approach to mapping transit accessibility. J. Public Transport 2010, 13:55-72.
9. Currie G. Quantifying spatial gaps in public transport supply based on social needs. J. Transport Geogr. 2010, 18:31-41.
10. Curtis C., Scheurer J. Planning for sustainable accessibility: developing tools to aid discussion and decision-making. Prog. Plann. 2010, 74:53-106.
11. El-Geneidy, A.M., Tétreault, P.R., Suprenant-Legault, J., 2009. Pedestrian access to transit: identifying redundancies and gaps using a variable service area analysis.
12. Finnis K.K., Walton D. Field observations to determine the influence of population size, location and individual factors on pedestrian walking speeds. Ergonomics 2008, 51:827-842.
13. Frank L., Bradley M., Kavage S., Chapman J., Lawton T. Urban form, travel time, and cost relationships with tour complexity and mode choice. Transportation 2008, 35:37-54.
14. Furth P.G., Mekuria M.C., SanClemente J.L. Parcel-level modeling to analyze transit stop location changes. J. Public Transport 2007, 10:73-92.
15. Gutierrez J., Garcia-Palomares J.C. Distance-measure impacts on the calculation of transport service areas using GIS. Environ. Plann. B 2008, 35:480-503.
16. Hess D.B. Access to public transit and its influence on ridership for older adults in two US cities. J. Transport Land Use 2009, 2:3-27.
17. Horner M.W., Murray A.T. Spatial representation and scale impacts in transit service assessment. Environ. Plann. B 2004, 31:785-797.
18. Hsiao S., Lu J., Sterling J., Weatherford M. Use of geographic information system for analysis of transit pedestrian access. Transport Res. Rec. 1997, 1604:50-59.
19. Huang R., Wei Y.D. Analyzing neighborhood accessibility via transit in a GIS environment. Ann. GIS 2002, 8:39-47.
20. Jones A.P., Haynes R., Sauerzapf V., Crawford S.M., Zhao H., Forman D. Travel times to health care and survival from cancers in Northern England. Eur. J. Cancer 2008, 44:269-274.
21. Kimpel T.J., Duecker K.J., El-Geneidy A.M. Using GIS to measure the effects of service area and frequency on passenger boardings at bus stops. URISA J. 2007, 19:5-11.
22. Lei T.L., Church R.L. Mapping transit-based access: integrating GIS, routes and schedules. Int. J. Geogr. Inf. Sci. 2010, 24:283-304.
23. Lester, T., Walton, D., 2010. Arrival characteristics of passengers intending to use public transport. In: 32nd Australasian Transport Research Forum, Auckland, New Zealand.
24. Litman, T., 1999. The Cost of Automobile Dependency and the Benefits of Balanced Transportation. Victorian Transport Policy Institute, Victoria, BC, Canada.
25. Litman T. Integrating public health objectives in transportation decision-making. Am. J. Health Promot. 2003, 18:103-108.
26. Liu S., Zhu X. An integrated GIS approach to accessibility analysis. Trans. GIS 2004, 8:45-62.
27. Lovett A., Haynes R., Sunnenberg G., Gale S. Car travel time and accessibility by bus to general practitioner services: a study using patient registers and GIS. Soc. Sci. Med. 2002, 55:97-111.
28. Martin D., Jordan H., Roderick P. Taking the bus: incorporating public transport timetable data into health care accessibility modelling. Environ. Plann. A 2008, 40:2510-2525.
29. Martin D., Wrigley H., Barnett S., Roderick P. Increasing the sophistication of access measurement in a rural healthcare study. Health Place 2002, 8:3-13.
30. Ministry of Transport How New Zealanders Travel: Trends in the NZ Household Travel Survey 1989-2008 2009, MoT, Wellington.
31. Ministry of Transport, 2010. Public Transport: Household Travel Survey, vol. 1, January, Wellington.
32. Mondou V. Daily mobility and adequacy of the urban transportation network a GIS application. Cybergeo. Eur. J. Geog. 2001, 192.
33. O'Sullivan D., Morrison A., Shearer J. Using desktop GIS for the investigation of accessibility by public transport: an isochrone approach. Int. J. Geogr. Inf. Sci. 2000, 14:85-104.
34. Sallis J.F., Frank L.D., Saelens B.E., Kraft M.K. Active transportation and physical activity: opportunities for collaboration on transportation and public health research. Transport Res. A - Pol. 2004, 38:249-268.
35. Salon D. Neighborhoods, cars, and commuting in New York City: a discrete choice approach. Transport Res. A - Pol. 2009, 43:180-196.
36. Shannon T., Giles-Corti B., Pikora T., Bulsara M., Shilton T., Bull F. Active commuting in a university setting: assessing commuting habits and potential for modal change. Transport Pol. 2006, 13:240-253.
37. Silva, C., 2008. Comparative Accessibility for Mobility Management: the Structural Accessibility Layer. Ph.D. University of Oporto.
38. Silva C., Pinho P. The Structural Accessibility Layer (SAL): revealing how urban structure constrains travel choice. Environ. Plann. A 2010, 42:2735-2752.
39. Statistics New Zealand, 2005. New Zealand: an Urban/Rural Profile, Wellington.
40. Wang, J., 2011. Appraisal of Factors Influencing Public Transport Patronage: January 2011. NZ Transport Agency.
41. 2 emissions of New Zealand households. Social Pol. J. NZ 2009, 37:1-13.
42. Yigitcanlar T., Sipe N., Evans R., Pitot M. A GIS-based land use and public transport accessibility indexing model. Aust. Planner 2008, 44:30-37.
43. Zhao F., Chow L., Li M., Ubaka I., Gan A. Forecasting transit walk accessibility: regression model alternative to buffer method. Transport Res. Rec. 2003, 1835:34-41.