Volume XLII-1/W1
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1/W1, 189-196, 2017
https://doi.org/10.5194/isprs-archives-XLII-1-W1-189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-1/W1, 189-196, 2017
https://doi.org/10.5194/isprs-archives-XLII-1-W1-189-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

  31 May 2017

31 May 2017

HETEROGENEITY INDEX FOR THE ASSESSMENT OF RELATIONSHIP BETWEEN LAND USE PATTERN AND ROAD TRAFFIC CONGESTION IN APAPA-OWOROSHOKI EXPRESS WAY, LAGOS METROPOLIS

D. B. Alaigba1, M. Soumah2, and M. O. Banjo2 D. B. Alaigba et al.
  • 1Department of Geographic Information Science (GIS), African Regional Institute for Geospatial Science and Technology (AFRIGIST), formerly, Regional Centre for Training in Aerospace Surveys (RECTAS), PMB 5545, Ile-Ife, Nigeria
  • 2Department of Photogrammetry and Remote Sensing (PRS), African Regional Institute for Geospatial Science and Technology (AFRIGIST), formerly, Regional Centre for Training in Aerospace Surveys (RECTAS), PMB 5545, Ile-Ife, Nigeria

Keywords: Traffic Congestion, Land-Use, Heterogeneity Index, AHP

Abstract. The problem of urban mobility is complicated by traffic delay, resulting from poor planning, high population density and poor condition of roads within urban spaces. This study assessed traffic congestion resulting from differential contribution made by various land-uses along Apapa-Oworoshoki expressway in Lagos metropolis. The data for this study was from both primary and secondary sources; GPS point data was collected at selected points for traffic volume count; observation of the nature of vehicular traffic congestion, and land use types along the corridor. Existing data on traffic count along the corridor, connectivity map and land use map sourced from relevant authorities were acquired. Traffic congestion within the area was estimated using volume capacity ratio (V/C). Heterogeneity Index was developed and used to quantify the percentage contribution to traffic volume from various land-use categories. Analytical Hierarchical Processing (AHP) and knowledge-based weighting were used to rank the importance of different heterogeneity indices. Results showed significant relationship between the degree of heterogeneity of the land use pattern and road traffic congestion. Volume Capacity Ratio computed revealed that the route corridor exceeds its designed capacity in the southward direction between the hours of 8am and 12pm on working days. Five major nodes were analyzed along the corridor, and were all above the expected Passenger Car Unit (PCU), these are “Oshodi” 15 %, “Airport junction” 10 %, “Cele bus stop” 21 %, “Mile 2” 14 %, “Berger” 15 % and “Tincan bus stop” 33 % indicating heavy traffic congestion.