Spatial variation of transit service quality preferences in Dar-es-Salaam

Commuter preferences for transit service quality are of great importance to transit service providers and regulatory agencies. The point of view of potential passengers is fundamental for evaluating transit service quality as they are envisaged to be the real consumers of the planned services and can therefore be considered the most suitable judges. A stated preference survey of daily commuters to the central business district (CBD) in the city of Dar-es-Salaam, Tanzania, was carried out to elicit preferences towards the proposed Dar Rapid Transit (DART) service. Preferences towards the proposed DART service are considered to vary based on the residential location of the potential users. These preferences are evaluated on the attributes travel time, fare and comfort. A binary logit model was applied to establish utility functions that were analysed spatially in a GIS, where a utility value was computed for each spatial unit. This paper accordingly analyses spatial variation of transit service quality preferences for the proposed DART service using geo-spatial techniques. The study uses a scenario-based approach to evaluate the effect of the proposed DART service by comparing the ‘without DART’ scenario, a case representing the existing public transport (daladala), and a ‘DART’ scenario, representing the future proposed DART system. The results indicate that the proposed DART attributes considered in the study have a significant effect on DART service quality. The results further reveal that utility values are significantly varying spatially, particularly dependent upon distance to CBD. Comfort is the most important attribute in zones up to 5 km from the CBD, travel fare is more important in zones between 5 and 15 km from the CBD, while travel time is more important in zones beyond 15 km distance from the CBD. The overall results indicate that the DART is likely to be more attractive than the existing public transport system.

[1]  Alan Gilbert,et al.  Bus Rapid Transit: Is Transmilenio a Miracle Cure? , 2008 .

[2]  John D. Nelson,et al.  The perception of Bus Rapid Transit: a passenger survey from Beijing Southern Axis BRT Line 1 , 2012 .

[3]  Debbie A. Niemeier,et al.  Measuring Accessibility: An Exploration of Issues and Alternatives , 1997 .

[4]  David A. Hensher,et al.  MEASURING SERVICE QUALITY IN SCHEDULED BUS SERVICES , 2001 .

[5]  Xiaobai Angela Yao,et al.  Where are public transit needed - Examining potential demand for public transit for commuting trips , 2007, Comput. Environ. Urban Syst..

[6]  Richard Knowles,et al.  Bus Quality Partnerships, Modal Shift and Traffic Decongestion , 2006 .

[7]  D. Hensher Stated preference analysis of travel choices: the state of practice , 1994 .

[8]  David A. Mfinanga,et al.  Development of a Model for Assessing Urban Public Transport Level of Service in Cities of Developing Nations , 2007 .

[9]  Luigi dell’Olio,et al.  The quality of service desired by public transport users , 2011 .

[10]  A. Abane Travel behaviour in Ghana: empirical observations from four metropolitan areas , 2011 .

[11]  Catherine C. H. Chiu,et al.  Accessibility of workers in a compact city:: the case of Hong Kong , 2004 .

[12]  Irene Casas,et al.  Evaluating the spatial equity of bus rapid transit-based accessibility patterns in a developing country: The case of Cali, Colombia , 2012 .

[13]  Alan T. Murray Strategic analysis of public transport coverage , 2001 .

[14]  Graham Currie,et al.  Effective ways to grow urban bus markets: a synthesis of evidence , 2007 .

[15]  D.W.J. Miles,et al.  The regulation of urban public transport in developing countries [Published as: Managing public transport in developing countries: stakeholder perspectives in Dar es Salaam and Faisalabad] , 2004 .

[16]  P. Zhao Sustainable urban expansion and transportation in a growing megacity: Consequences of urban sprawl for mobility on the urban fringe of Beijing , 2010 .

[17]  Mark Brussel,et al.  Modeling commuter preferences for the proposed bus rapid transit in Dar-es-Salaam , 2012 .

[18]  Ramon C Munoz-Raskin Walking Accessibility to Bus Rapid Transit: Does it Affect Property Values? The Case of Bogota, Colombia , 2010 .

[19]  Leonard L. Berry,et al.  Five imperatives for improving service quality , 1991 .

[20]  Chandra R. Bhat,et al.  An Analysis of Commuter Bicyclist Route Choice Using a Stated Preference Survey , 2003 .

[21]  Rajat Rastogi,et al.  Defining transit accessibility with environmental inputs , 2003 .

[22]  John D. Nelson,et al.  Recent Developments in Bus Rapid Transit: A Review of the Literature , 2011 .

[23]  Geetam Tiwari,et al.  Accessibility and safety indicators for all road users: case study Delhi BRT , 2012 .

[24]  Luigi dell’Olio,et al.  Modelling user perception of bus transit quality , 2010 .

[25]  Xiaolu Gao,et al.  Analysis of people's satisfaction with public transportation in Beijing , 2010 .

[26]  D. Goudie Zonal method for urban travel surveys: sustainability and sample distance from the CBD , 2002 .

[27]  Deborah Salon,et al.  Urban travel in Nairobi, Kenya: analysis, insights, and opportunities , 2012 .

[28]  Laura Eboli,et al.  A Stated Preference Experiment for Measuring Service Quality in Public Transport , 2008 .

[29]  Shenghua Liu,et al.  ANALYSIS OF THE IMPACT OF THE MRT SYSTEM ON ACCESSIBILITY IN SINGAPORE USING AN INTEGRATED GIS TOOL , 2004 .

[30]  Luis Ferreira,et al.  PUBLIC TRANSPORTATION ACCESS , 1998 .

[31]  John M. Rose,et al.  Applied Choice Analysis: A Primer , 2005 .

[32]  Harvey J. Miller,et al.  Measuring Space‐Time Accessibility Benefits within Transportation Networks: Basic Theory and Computational Procedures , 1999 .

[33]  Julian Hine,et al.  Social exclusion and transport systems , 2003 .

[34]  Laura Eboli,et al.  A methodology for evaluating transit service quality based on subjective and objective measures from the passenger’s point of view , 2011 .

[35]  Banihan Gunay,et al.  Using GIS to visualise and evaluate student travel behaviour , 2011 .

[36]  Peter R. Stopher,et al.  Service quality––developing a service quality index in the provision of commercial bus contracts , 2003 .

[37]  D. McFadden MEASUREMENT OF URBAN TRAVEL DEMAND , 1974 .

[38]  Prakash Ranjitkar,et al.  Modeling public-transit connectivity with spatial quality-of-transfer measurements , 2012 .

[39]  Pascal Pochet,et al.  Household transport expenditure in Sub-Saharan African cities: measurement and analysis , 2008 .

[40]  S. Mavoa,et al.  GIS based destination accessibility via public transit and walking in Auckland, New Zealand , 2012 .

[41]  George G. Earl,et al.  Public transport service quality and sustainable development: A community stakeholder perspective , 2010 .

[42]  Michael Carreno,et al.  Passenger perceptions and the ideal urban bus journey experience , 2007 .

[43]  Moshe Ben-Akiva,et al.  Discrete Choice Analysis: Theory and Application to Travel Demand , 1985 .

[44]  Alan T. Murray,et al.  Strategic route extension in transit networks , 2006, Eur. J. Oper. Res..

[45]  Chandra R. Bhat,et al.  Commuter Bicyclist Route Choice: Analysis Using a Stated Preference Survey , 2003 .

[46]  Yang Jiang,et al.  Walk the line: station context, corridor type and bus rapid transit walk access in Jinan, China , 2011 .

[47]  Edoardo Marcucci,et al.  Quality and Public Transport Service Contracts , 2007 .

[48]  Pascal Pochet,et al.  Transportation Conditions and Access to Services in a Context of Urban Sprawl and Deregulation. The Case of Dar es Salaam , 2003 .

[49]  Constantinos Antoniou,et al.  Public transit user satisfaction: Variability and policy implications , 2008 .

[50]  J Polak,et al.  USING STATED-PREFERENCE METHODS TO EXAMINE TRAVELLER PREFERENCES AND RESPONSES , 1997 .

[51]  Victor R. Prybutok,et al.  A service quality and success model for the information service industry , 2004, Eur. J. Oper. Res..

[52]  Rajat Rastogi,et al.  Travel characteristics of commuters accessing transit: Case study , 2003 .

[53]  Graham Currie,et al.  Bus Transit Oriented Development—Strengths and Challenges Relative to Rail , 2006 .

[54]  D. Hensher,et al.  Stated Choice Methods: Analysis and Applications , 2000 .

[55]  Mark Zuidgeest,et al.  Identifying potential cycling market segments in Dar-es-Salaam, Tanzania , 2012 .