Evaluating multimodal integration of metro and feeder bus services in Bengaluru using integrated analytical and perception based methods

Improving the integration of rail and long-distance bus services is essential for enhancing regional connectivity and sustainable transport accessibility. Existing node-place models mainly focus on station surroundings and do not consider how buses extend access explicitly to support the transit network. Therefore, this study develops a multimodal network-based approach applied to a case of sub-rural Scotland. Three new integration metrics are designed — travel time-weighted population (demand coverage), feeder bus service availability (supply), and network centrality (regional connectivity). These indicators are then incorporated into a three-dimensional node-place framework, which evaluates the integration performance of 102 railway stations across the study area. Results reveal spatial differences in integration performance, identifying well-connected hubs such as Inverness and Stirling, alongside stations like Rosyth and Dunfermline City where demand is not matched by service provision. The analysis also shows opportunities to strengthen east–west regional links and improve multimodal access through targeted interventions, such as co-locating bus termini. By extending the node–place model to include multimodal catchments and network-level connectivity, the framework captures aspects of integration that are overlooked in rail-only assessments and offers a unified diagnostic tool for identifying where rail-bus integration improvements may have the greatest effect. The method is built on publicly available data, enabling its application in other regions and adaptation to support future demand modelling. • An integrated bus-rail network is constructed for multimodal node-place analysis. • Feeder bus services to stations are evaluated with time-weighted population coverage. • Impact of both interurban and feeder bus services on rail accessibility is evaluated. • Centrality analysis of rail-only and rail-bus networks reveals structural differences. • Generation of spatial options to help identify gaps for integration improvements.

Implementing digital payments can increase public interest in using feeder bus services. However, on the other hand, the implementation of digital payments also raises several crucial problems that befall consumers related to the presence of a digital payment system organized by Perumda Transpakuan Bogor City. This research aims to find out how legal protection efforts for consumers are carried out by Perumda Transpakuan Bogor City in the Digital Payment System on Feeder Buses. This research uses a type of legal research that combines normative and empirical, namely taking an approach by first examining the existing laws and regulations. relevant to the problem being researched or looking at it from a normative legal aspect, then the experience in digital payments on feeder bus services is also studied. Legal Protection Efforts for Consumers by Perumda Transpakuan Bogor City in the Digital Payment System on Feeder Buses, including: Compliance with Regulations, Collaboration with Leading third party, Data security system, Verification and authentication system, Dispute resolution and refunds, Education and outreach, Regular audits and monitoring.

As urbanization accelerates, urban public transportation systems are tasked with meeting the growing demand for travel. According to statistics, the regional rail transit network currently handles 60% of the passenger volume for trips originating from around the stations, and this is projected to increase by over 20% within the next decade. However, the current feeder bus services suffer from insufficient coverage, leading to inconvenience for passengers and impacting the overall efficiency of the transportation system. To enhance the public transit service coverage along a rail transit corridor, this study designs feeder bus services to connect the rail stations. A theoretical trunk-feeder transit design problem is firstly solved to furnish the initial feeder bus line designs. The objective is to minimize total generalized system cost with respect to the density of feeder bus routes and their service frequencies. The idealized design of the optimal bus route density function is then discretized into specific locations and fine-tuned with Geographic Information System (GIS) tool. Considering local conditions like road network and demographic information, a four-step adjustment strategy is proposed to furnish the implementation-ready design of feeder bus services. Numerical results show the final design renders at least 3.5% saving in total system cost. This study illustrates how the state-of-the-art theories of transit design can be applied into practice and highlights the connection between theoretical studies and practical application.

Rapid urbanization and an increase in private vehicle ownership in India's major cities have contributed to increased traffic congestion, pollution, and accidents. These challenges could be addressed in part by encouraging commuters to use public transport instead of private vehicles. The integration of different transport systems would be essential for increasing the utilization and efficiency of public transportation. It is essential to evaluate the existing level of integration among various transport systems to improve it. Consequently, the objective of this research is to adapt a methodology for evaluating the existing level of integration between metro and feeder buses while keeping sustainability as a goal. For evaluation, 18 sustainable transportation indicators were considered. To estimate the Sustainability Integration Index (SII) value, data were collected from transport hubs and nearby bus stops in Bengaluru, India. The multi-criteria method was used for the homogenization of transportation indicators. Based on the expert opinion survey, additional appropriate weights were obtained for each indicator, and the final SII value for selected metro stations was estimated in the range of 0 to 100. The adapted methodology was used to evaluate three transport policies in Bengaluru city relating to the integration of metro and feeder bus services. According to the analysis, the policy of increase in bus frequencies had the highest SII value, with an average increase of 4.97%, followed by policies of relocating bus stops and single ticketing systems, which had average increases of 3.49% and 4.58%, respectively.

This paper proposes analytical models for optimizing a bus and rail transit system with feeder bus services under different market regimes. The market regimes concerned include: monopoly (with profit maximization), social optimum (with social welfare maximization), and oligopoly. In the proposed models, transit operator aims to optimize the frequencies and fares of the bus, rail and feeder bus services, while accounting for the responses from transit passengers (in terms of travel mode choice as well as demand elasticity) to the level of transit services and fares. A solution algorithm is developed to solve the proposed models. Numerical results show that a single implementation of the feeder bus service scheme may not be most cost-effective. A joint implementation of the feeder bus service scheme and other schemes, such as transfer coordination between transit modes and integrated fare scheme, can significantly improve the performance of the multimodal transit system in terms of total social welfare.

Day-to-day information is increasingly being implemented in transit networks worldwide. Feeder bus service (FBS) plays a vital role in a public transit network by providing feeder access to hubs and rails. As a feeder service, a space-time path for frequent passengers is decided by its dynamic strategy procedure, in which a day-to-day information self-learning mechanism is identified and analyzed from our survey data. We formulate a frequency-based assignment model considering day-to-day evolution under oversaturated conditions, which takes into account the residual capacity of bus and the comfort feelings of sitting or standing. The core of our proposed model is to allocate the passengers on each segment belonging to their own paths according to multi-utilities transformed from the time values and parametric demands, such as frequency, bus capacity, seat comfort, and stop layout. The assignment method, albeit general, allows us to formulate an equivalent optimization problem in terms of interaction between the FBS’ operation and frequent passengers’ rational behaviors. Finally, a real application case is generated to test the ability of the modeling framework capturing the theoretical consequents, serving the passengers’ dynamic externalities.

Transit oriented development propagates the use of feeder services such as buses, taxis and paratransit to support the main rail trunks (Taylor, 1982; Limtanakool et.al, 2006; Alshalalfah & Shalaby, 2007). This paper attempts at explaining the preferences of passengers of a Malaysian rail service towards feeder buses, factors influencing their choices and recommendations to encourage the KTM Komuter passengers to switch mode to feeder services instead of driving theirprivate vehicles to and from stations. Using on-board intercept survey method, some results of 200 samples were analysed for the research. Findings showed that 76% of the passengers did not prefer to use the feeder. As such, the chi-square analysis did not find any socio-demographic factors such as gender, income, level of study, employment types, to be significant in explaining this mode switching behaviour. Some trip characteristics such as vehicle ownership, frequency andlength of using the KTM Komuter service also did not significantly influence the passengers' preference in using the feeder bus service. Other factors were then examined, including stations’ characteristics, users’ access and egress behaviours, travel time and distance. Therefore, in order to encourage the KTM Komuter users in using the feeder bus service, several recommendations such as providing an efficient, reliable frequency and catchment areas of feeder bus services were made.

Transit oriented development propagates the use of feeder services such as buses, taxis and paratransit to support the main rail trunks (Taylor, 1982; Limtanakool et.al, 2006; Alshalalfah & Shalaby, 2007). This paper attempts at explaining the preferences of passengers of a Malaysian rail service towards feeder buses, factors influencing their choices and recommendations to encourage the KTM Komuter passengers to switch mode to feeder services instead of driving theirprivate vehicles to and from stations. Using on-board intercept survey method, some results of 200 samples were analysed for the research. Findings showed that 76% of the passengers did not prefer to use the feeder. As such, the chi-square analysis did not find any socio-demographic factors such as gender, income, level of study, employment types, to be significant in explaining this mode switching behaviour. Some trip characteristics such as vehicle ownership, frequency andlength of using the KTM Komuter service also did not significantly influence the passengers' preference in using the feeder bus service. Other factors were then examined, including stations’ characteristics, users’ access and egress behaviours, travel time and distance. Therefore, in order to encourage the KTM Komuter users in using the feeder bus service, several recommendations such as providing an efficient, reliable frequency and catchment areas of feeder bus services were made.

Many urban areas in developing countries, especially those considered emerging economies, are facing traffic congestion due to high rate of motorization. Though road-based public transport has been the primary mode for motorized trips, some developing countries possess railway networks in urban areas. Historically, passenger access to railway stations has been rarely considered. However, a railway having the highest passenger capacity can play a key role in alleviating traffic congestion in urban areas. This study aims to pursue appropriate measures to improve access to railway stations in developing countries. Two pilot projects, a park-and-ride and feeder bus service, were conducted at each railway station in suburban cities of Jakarta. According to the pre- and post-interview survey results on the park-and-ride project, users were generally satisfied with the project. In particular, some car commuters shifted to using railway and were highly satisfied. On the other hand, the interview survey results on the pilot project for the feeder bus service revealed that residents around the railway stations, especially those from high-income group, are rarely motivated to use the provided free feeder bus service to railway stations. By comparing the two results, bearing in mind that parking lots around the station and access roads to the station are required, it was found that park-and-ride can be an affordable railway promotion measure. It is also noteworthy that the railway service level is still a key factor affecting modal shift.

As an important part of urban public transportation systems, the feeder bus fills a service gap left by rail transit, effectively extending the range of rail transit’s service and solving the problem of short‐distance travel and interchanges. By defining the potential demand of feeder bus services and considering its relationship with the traffic demands of corresponding staging areas, the distance between road and rail transit, and the repetition factor of road bus lines, this paper established a potential demand model of roads by opening feeder bus services and applying a logit model for passenger flow distribution. Based on a circular route model, a route starting and ending at urban rail transit stations was generated, and a genetic algorithm was then applied to solve it. The Wei‐Fang community of Shanghai was selected as the test area. Per the model and algorithm, the feeder route length was conformed to a functional orientation of short‐distance travel and the feeder service of a feeder bus; the route mostly covered where conventional bus lines were fewer, which is a finding that is in agreement with the actual situation; the feasibility of the model and algorithm was verified.

This paper proposes a schedule coordination method for transfer problems between an urban rail transit service and its feeder bus service. For given train schedules, a novel mixed-integer nonlinear programming (MINLP) model is formulated to obtain a coordinated bus schedule with the objective of minimizing the weighted sum of passenger transfer costs and bus operating costs. The queuing process for transfer passengers at the transport hubs, which is attributed to both high transfer volumes and limited bus capacity, is discussed and considered in the coordination problem. The vital decision variable is the terminal departure time of each target feeder bus trip within a certain time period. A hybrid solution method that integrates heuristic and enumerative algorithms was developed to solve the MINLP model, and numerical experiments were conducted for different scenarios. The results indicate that the feeder bus schedule coordinated by the developed model is capable of substantially reducing the transfer waiting time for train passengers with a slight increase in bus operating costs.

For an integrated public transport system, metro feeder buses become a key commuter transport mode connecting the suburban residential center and main transit lines in many Chinese mega cities. As the feeder bus is usually operated at a lower frequency relative to the metro, the transfer impedance may be restrained. This study attempted to design a timetable for a metro feeder bus route. Two timetable designs -- static and dynamic -- are proposed. In the static timetable design, it is assumed that the metro train service is frequent and maintains an even headway, while the feeder bus service is infrequent and the bus headway is an integer multiple of the metro train headway. The bus headway is determined based on the fleet size (and or bus round trip time) constraint. Furthermore, considering that metro and bus arrival times are deterministic, the offset between metro train arrival and bus departure times is set to be equal to transfer walk time. The dynamic design approach considers the static timetable and further improves on it to minimize transfer wait time based on average weekly train specific transfer volume data. The dynamic design problem is solved by the proposed algorithm which can transform multi-variable, unconstrained optimization into a sequence of single variable search.

The Mass Rapid Transit (MRT) feeder bus service is a complementary public transport service provided to encourage ridership of MRT rail services in Malaysia. In brief, this feeder bus service plays a role in connecting people to and from MRT stations. The objective of this study is to determine the passenger volume generated at each MRT feeder bus stop location in the study area, and relate it to surrounding land use activities. Using the rule of thumb in public transportation systems, 200 m and 400 m radial buffers were identified as catchment areas of the bus stops. The key finding from this study is the relationship between volume of passenger and land use activities. This study concludes that land use activities influence MRT ridership, and that the presence of shelters or waiting poles is important to encourage ingress or egress.

Optimal design of transit networks fed by shared bikes

One of the serious concerns in network design is creating an efficient and appropriate network capable of efficiently migrating the passenger’s mode of transportation from private to public. The main goal of this study is to present an improved model for combining the feeder bus network design system and the railway transit system while minimizing total cost. In this study, the imperialist competitive algorithm (ICA) and the water cycle algorithm (WCA) were employed to optimize feeder bus and railway services. The case study and input data were based on a real transit network in Petaling Jaya, Kuala Lumpur, Malaysia. Numerical results for the proposed model, including the optimal solution, statistical optimization results and the convergence rate, as well as comparisons are discussed in detail.