Faculty Publications

Now showing 1 - 3 of 3

Impact of Diverse Land Use and Population Densities on Access and Egress Mode Choice of Bus Transit System
(Springer Science and Business Media Deutschland GmbH, 2025) Shanthappa, N.K.; Mulangi, R.H.; Sanjay, G.P.
This study investigates the impact of diverse land use patterns and population densities on commutersâ€™ mode choices for accessing and egressing public bus transit systems. The primary objectives of the study are to examine the influence of diverse land use patterns and population densities on mode choice, analyse the role of population density, explore user perceptions towards access and egress mode choices, and provide recommendations to improve service quality and transit ridership. The methodology involves spatial analysis, statistical modelling, and a detailed questionnaire survey to capture and analyse data. Mode choice behaviours are assessed through multinomial logistic regression models. User perceptions are gathered via surveys conducted across different urban areas with varying densities and land use patterns. Key findings indicate that areas with mixed-use developments and higher commercial density are associated with increased public transit usage, highlighting the importance of integrated urban planning in promoting sustainable transportation. The study also finds that higher population densities correlate positively with public transit use, demonstrating that densely populated areas benefit more from accessible and frequent bus services. Survey results reveal that convenience, travel time, and cost are primary factors influencing mode choice, with environmental concerns and safety also playing significant roles. These findings suggest that improving these aspects could enhance the attractiveness of public transit. Â© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Probability distributions analysis of travel time variability for the public transit system
(KeAi Communications Co., 2022) Harsha, H.; Mulangi, R.H.
Travel time variability (TTV) plays a significant role in analysing the reliability of public transit system. The research works carried out on travel time variability under Indian traffic conditions are very few and these studies did not analyse the performance of travel time distribution in detail, considering different temporal and spatial aggregations. In this study, travel time variability is analysed using travel time distributions considering different temporal and spatial aggregations. The Automatic Vehicle Location (AVL) data of four transit routes of Mysore City, Karnataka, India are used to evaluate travel time distributions with respect to temporal aggregations (peak period, off-peak period, 60 minutes, 30 minutes and 15 minutes) and spatial aggregations (route level and segment level). The performance of travel time distributions is analysed using the Anderson-Darling (AD) test. The segments with signalised intersections and different land-use types are analysed to evaluate the distribution fit for various conditions. The results of both route and segment level analysis report highest accuracy and robustness values for Generalised Extreme Value (GEV) distribution. The distribution is proved to be superior in describing travel time variability of public transit. © 2021 Tongji University and Tongji University Press
The Spatiotemporal Patterns of Bus Passengers: Visualisation and Evaluation using Non-negative Tensor Decomposition
(Springer Nature, 2023) Shanthappa, N.K.; Mulangi, R.H.; Harsha, H.M.
Spatiotemporal analysis of passenger mobility patterns provides valuable information regarding the travel behaviour of passengers at different spatial and temporal scales. However, in the spatiotemporal analysis of passenger mobility patterns, a few questions are yet to be answered: how does passenger travel behaviour change during different seasons? In developing countries like India where land use distribution is complex, do travel characteristics have a relationship with spatial regions of different land use? And what is the influence of people from nearby sub-urban and villages on the passenger mobility of urban areas if transit service is provided? Hence, this study developed a methodology to visualise and analyse spatiotemporal variations in the bus passenger travel behaviour among different spatial regions at hourly, daily, and monthly temporal resolutions using non-negative tensor decomposition (NTD). Six-month electronic ticketing machine (ETM) data of the Davangere city bus service is collected. Land use data is also collected from the urban development authority of Davangere city. NTD was found efficient in extracting spatiotemporal patterns. From the analysis, it is observed that passenger mobility patterns across different spatial regions varied during different seasons and within a season as well. Pertaining to spatial variations, passenger origins and destinations are aggregated with respect to spatial regions with uniform land use or similar travel characteristics without giving any geographical inputs. Also, the mobility pattern of sub-urban and village people varied unconventionally. Thus, developed research methodology has the potential of unveiling the spatiotemporal variations in passenger mobility, which can act as a base for designing transit facilities and framing policies. © 2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

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