Commuter Preferences on Road Transportation Modes

Commuter Preferences on avenue theodolite ModesCOMMUTERS PREFERENCES/CHOICES ON ROAD TRANSPORTATION MODE IN THE NIGER-DELTA A upshot STUDY OF WARRI METROPOLIS, NIGERIAATUBI, A. O.ABSTRACTRoad fare is essential/n the carriage of any flairrn society this is because it entails the movement of people, goods and overhauls from one m tout ensemble to an new(prenominal). It is the main medium used to revitalize the social, stinting and political structures. The information used for this guinea pig were mainly from primary and secondary sources and from the analysis of the data, it was revealed that commuters in rebuke metropolis prefer the use of motorcycle menu to former(a) kernel of raptus. For more rigorous analysis, an inferential statistical proficiency cognize as the ten-fold correlations was used.INTRODUCTIONThis correction of merchant vesselsation is multi-disciplinary, involving various disciplines apiece in a strict common sense, with its own bea of emphasis. For instance, whereas pricing and regulations be the main celestial sphere of focus of economists, transport systems analysis is usu e genuinely last(predicate)y the affair of the engineers (Ikporukpo, 1998). It is generally recognized that the geographers interest is essentially the spatial stance (Hoyle and K straight offles, 1992 Knowles 1993 Tolley and Turton, 1995). Indeed, Eliot-Hurst (1973) has argued that transportation is a measure of the relationship between areas and therefore, is essentially geographical. In spite of the disciplinary boundaries, it is increasingly becoming lightheaded that the study of transportation is best approached through an interdisciplinary perspective.Ogunsaya (2002) recognized this when he verbalize although the process of spatial economic ontogeny of any viewry is a complex one involving several variables, transport stands out as a catalyst in the process of change in its development. Its role in agriculture, industry, commerce, health , education, tourism, among some other is recognized. Kraft et al (1971) observed that transport becomes a critical factor in regional growth since it determines the extent of which an area can capitalize on its economic development. Transport, as a derived demand, is the artery, which all human activities flow. Transport as the Bridge of spatial in equation that enables/aids development, is often use as an indicator of the overall development of a nation. No wonder, Onakornaiya and Ekanem (1977) said, any nation is as developed as her transport sector which is a basic service sector to all other sectors of the economy developed.Changes in the way economic activities are unionised are soundly understood. However, as yet, the role of transport in facilitating these changes is well delineate. Most recently, economic forces chip in been supplemented by technological changes, which break allowed many transactions to be carried out simultaneously. The quantity and speed of transact ions have increased exponentially. A number of authors discussed these issues, the most notable being Downs (1989), Sassen (1999) Castells (2000 2004). auspicate enables consumers to enjoy the availability of goods, which are not provided as produced in their immediate locality because of climate or soil condition, the lack of raw materials, utilities or labours or the damage of production. Such a system allowed consumers a choice of goods, which would not otherwise be available (United States incision of out-migration, 2000 2004 Kruger et al 2001 Atubi and Onokala, 2003 Rodrigue, 2004). recent urban transportation studies address the identification and measurement of behavioural variables in the development of spatial choices models. However, the choice of destinations is generally remain divorced from other break choice, such as mode of travel and era of hinge upon (Dommecich, 1985), as well as attempt to explain travel mode choice as a significant component of urban tra vel behaviours. For instance, Ruston (1991), investigated consumer behaviours in space, which are based upon revealed preferences. This observed behaviour, may say very little concerning individual preferences. Individual perspectives are most often defined in terms of persons (Golob, 2000).Hartgen (1998) noted that the affair of attitudes as explained by variables is do choice of quantitative aspect of consumers demand. This modelling strategy is not limit to those attri furtheres such as travel eras and out of pocket cost which are easily quantified and characterized by an established and easily accessible metric. Hartgen and radio receiver (2001) employed an attitudinal index to prevent travel mode choices. Allen and Isserman (1999) found that attitudinal variables are useful in discriminate models of mode choice, employing attitudinal and demographic variables within the fabric of an automatic interaction detector analysis.Thomas (1997) observed that transport researchers have traditionally concentrated on a limited number of power influence socio-demographic variables such as age, sex, education, occupation etc. mode is for example sequential versus simultaneous has been shown to affect the estimated coefficient of spatial choice model. Banister (1989) in his study noted that the urban travel network, which has involved for example extravagant fuel consumption, deterioration of urban air quality, peak bit congestion etc., provides an aggregate aim of mobility that is unprecedented. However, the same(p) urban network is also liable for the existence of several travels disadvantaged minorities and a rapid decentralization of urban population and employment. It is generally agreed that the choice of travel has both contributed to and evolved from a decentralized urban form.PARTICIPANTS AND PROCEDURES chasten is the headquarters of the check South local anaesthetic Government Area. It located in the Western Niger Delta region of Delta State and lies most between longitudes 544 latitude 530 and 615 (see fig. 1). Its location in the Niger Delta area makes it a very sea-level town. The position of Warn is about 6 metres above the sea level on the average and nowhere does it rise above 8 metres. The Warn River borders the town on the South and Eastern sides.For the purpose of data prayer in the study area, purposive sampling technique was used to cleave the study area into trine zones for convenience. They include Enehren junction, Okere round about and burying ground road. These three areas were chosen because they are the most useable and lotiest roads in Warn metropolis. People usually leave their family of resident for employment places between the hours of 6.30am and 7.30am. Also between the hours of 4.30pm and 6.30pm workers return from work.Based on this observation, job take care was conducted in specific major roads in the study area. The count was done with a view to establish observable characteristics of the three models of transport (that is, taxi cabs, buses and motorcycles). The instrument used to elicit necessary information from the respondents include questionnaire, personal observation and oral interview. However, only two ascorbic acid (200) persons were selected to represent the target population through random sampling method. In analyzing the data the statistical tools used include the use of tables, percentages and statistical technique such as the multiple correlation statistics.DISCUSSION OF RESULTSIn Warn metropolis, percentage of 630am to 900am count total was computed give in 1 Traffic Count at the Three Strategic Points in WarnSource topic survey, 2005for for each one of the three points. The same was done for the 400pm to 600pm count. The aurora count summed up to 5377 vehicles. While the change surface count summed up to 4458 in all the three points (see table 1).Enehren Junction by Warri-Sapele road attracted 42.6% of the merchandise in the morning. While in the evening it attracted 35.6% of occupation flow in the different locations. This means that the number of vehicles that passed through this point in the morning far exceed vehicles that passed in the evening. This is as a result of most residents using the point to get to their work place and leave for different location after work in the evenings, as such some vehicles that did not pass this point in, pass it out. The same process was also obtained for the other locations.Okere Round About is located in such a way that it get in touch together different routes in Warn metropolis. But this area does not have work places likes companies more or less it, likes what is found in Enebren axis. As such cannot rate as high school as Enebren Junction axis in terms of vehicles tra1c flow. In the morning the route attracted 3 4.4% of traffic in the three points. While in the evening this route attracts 40.4% of traffic. The percentage of traffic flow in evening was high compared to that of the morning. This is as result of the fact that more routes are now being used in the evening after closing hour than what was used in the morning.The third route/zone where the traffic count was done was at Cemetery Road. This route attracted the least number of vehicular traffic flow, both in the morning and evening amongst the three routes used. It attracted 23.3% of traffic count in the morning and 24% of traffic count in the evening. This is as a result of the fact that the route does not link any major area like industrial area but it is a link to two markets in Warn (that is, Warri main market and Igbodu market). All the observations do with respect to directorial flow of traffic in the town show that most people prefer to use motorcycle to bus and taxi cabs.Table 2 Time of OperationSource Field survey, 2005Table 2 shows that 21 representing 52.5% of cabs operators are on part cartridge clip while the remaining 19 represents 47.5% of cab operators on full time basi s, 23 representing 38.3% while the remaining 37 representing 61.6% operates on full time basis. It was also observed that some operators on shift hour, that is, vehicle drive by two persons. In order to have a clear understanding of problems often faced by motorcycle, taxi cab, bus operators each of the operators interviewed was requested to identify some of the problems affecting his operation. The table below shows problems encountered by bus transport operators in Warn metropolis. This problem include commuters attitude to public transport, lack of fuel currency denomination etc.Table 3 Operational ProblemLegend1 Vehicle upkeep2 Commuter Attitude3 Fuel4 warrantor Harassment5 Bad Road/hold-up6 Currency identificationTable 3 above shows that bad roads and Police agony have the highest percentage of problems encountered by the commuter operators. For every trip made a minimum ofN2O is obtained from Police by force or else they would be delayed from operating. Bad conditio n of roads is another factor that hinders reflect operation of transport in the study area. Most traffic jams and hold-ups are as the result of bad roads in Warn seat of government. From the multiple correlations the result shows that 56% of commuter preference/choice cannot be explained by the effect of road transport mode in Warn Metropolis. This means that 56% are motorcycles. Commuters prefer the use than 44%, which are both taxicabs and buses. The implication of the result shows that there is a significant relationship between commuter preference/choice and road transport mode in Warn Metropolis.CONCLUDING REMARKSWarn Metropolis has been favoured by her position and location. The take of transport has helped to accelerate the growth rate and development. Since the emergence of motorcycle transportation there has been a significant change in the social and economic life of the inhabitants. This research has revealed that people prefer the use of motorcycle than taxicabs and b uses as a result of its citywide access.The introduction of public transportation service has helped in alleviating the problem of mobility in Warn Metropolis. The implication of effective transportation planning demands knowledge of the traffic situation, the transport needs of the commuting population, as well as the transportation modal mix and contribution of transportation to economic growth. This requires the availability of transport related data. This is important in the sense that the success or failure of transportation planning lies on the verity of data collected.Public sector investment should be encouraged in road infrastructure construction and maintenance of road network to provide for all the different modes of transportation since they complement and compete with each other for road space. This would have the desired effect of increasing the efficiency of the transport system.REFERENCESAllen, W. B. and Isserman, A. (1999). Behavioural Modal Split. High Speed Grow th Transportation Journal, l79-l99pp.Atubi,A. 0. and Onolcsb, P. C. (2003). Road Transportation and the Socio-Economic Development of the Niger-Delta A Case Study of Warn Metropolis Journal of Social and Management Sciences Review Vol. 1, (1) 102-113.Banister, D. (1989). Transport, the Environment and Sustainable Development. capital of the United Kingdom E and FN Spon.Castells, M. (2000). European Cities, The learning and Society and the Global Economy Oxford Blackwell.Castells, M. (2004). The Information Age Economy Society and Culture. Oxford Blackwell.Dommecich, T. A. (1985). Urban Travel Demand. Amsterdam northbound Hall and Publishers.Downs, A. (1989). How Transportations Arteris Impact Land values. In Urban Transportation preference and Prospects. H. S. Levinson and R.A. Weant. (eds) Wesport C. T. Eno Foundation, 105-109.Ekanem, N. F. (1973). Transportation in Nigeria Nation Development. NISSER, 445-489pp.Eliot-Horst, M. E. (1973). Transportation and Societal Framework. Ec onomic Geography, 49163-80.Golob, T. F. (2000). An Attitudinal Model Choice. Transportation look for Vol. 10 229-310.Hartgen, G. T. (1998). Urban Transportation Planning. A Developmental Approach. London and New York Routled, D.Hartgen, G. and Tanner, C. (2001). Sustainable Cities. Regional Studies tie-up. London Jessica Kingsley Publishers.Hoyle, B. S. and Knowles, R. D. (1992). Transportation Geography. An Introduction in Hoyle, B.S. and Knowles, R.D. (eds) Modern Transport Geography. New York John leave ey and Sons. 1- 10pp.Ikporukpo, C. 0. (1998). Transport Studies. In Areola. O. and Okafor. S.I. (eds) 50 Years of Geography in Nigeria the Ibadan Story. Ibadan University of Press, 135-1 56pp.Knowles, R. D. (1993). Research Agendas in Transport Geography for 1990s. Journal of Transport Geography Vol. 1 l,)3-1.Kreft, A. and Singh, K. (1971). Transport Demand Analysis. New York McGraw Hill Books Company.Kruger, S. K. et al (2001). Highway Engineering. Nemchand and Bros, Rorkee. 7 Edition.Ogunsanya, A. A. (2002). Issues and Problems in Nigerian Transport System in the Trainer. Journal of the Nigerian Institute of Transport Technology Vol., (1) 4-l0pp.Rodriique J.P. (2004). Road Transportation. Http// www. People. Hostra. Edu/geotras/ eng/ chzn. htmlRuston, G. (1991). Analysis of pa1ial Behaviour. Anals of the Association of American Geographers Vol. 59, 391-400.Sassen, S. (1999). Cities in a World Economy.Thomas, B. O. (1997). An Adaptive Model for designing Transportation System. London University Press.Tolley, R. S. and Truton, B. J. (1995). Transport System. Policy and Planning. A Geographic Approach. England Longman radical Limited.US Department of Transportation 2000). National Transportation Statistics, 64pp.US Department of Transportation (2004). Role of Highways in Development.