Activity Based Travel Demand Modeling of Thiruvananthapuram Urban Area

Lekshmi, G.R. Amrutha; Landge, Vishrut S.; Kumar, V.S. Sanjay

doi:10.1016/j.trpro.2016.11.100

Cited by 10 publications

(5 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The relationship between tour type and mode of travel has been mostly modelled using logit models such as MNL [29] and NL [16]. Meanwhile, one of the advanced logit models, CNL, has rarely been used in modelling this relationship.…”

Section: Methodsmentioning

confidence: 99%

A Tour-Based Mode Choice Model for Commuters in Indonesia

et al. 2019

View full text Add to dashboard Cite

With the advent of activity-based modelling, transport planners’ focus has shifted from isolated trips to tours. Tours are series of interconnected trips that start and finish at home. There are different types of tours; we focus on two: hwh (start at home; go to work; and then go back home) and hw+wh (where + represents a non-work activity). Tour types introduce a new dimension to the traditional problem of travel mode choice, as the mode choice might be influenced by the type of tour. This study attempts to measure and compare the relationship between tour type and mode choice using three different modelling approaches: Multinomial Logit (MNL); Nested Logit (NL) and Cross-Nested Logit (CNL). We compare each approach using secondary data from a larger survey: 24-h daily activity patterns of 420 commuters between Bekasi and Jakarta; one of the busiest commuting routes in Indonesia. Among other results, we found that gender and income significantly influence commuter’s choice of mode and that reducing travel time and cost can increase the ridership of public transport. Furthermore, the NL and CNL models showed significant improvement over the simpler MNL when grouping the alternatives based on tour types. This points to a significant influence of the tour type on the mode choice. Policy recommendations to increase traveler’s wellbeing are also formulated.

show abstract

Section: Methodsmentioning

confidence: 99%

A Tour-Based Mode Choice Model for Commuters in Indonesia

et al. 2019

View full text Add to dashboard Cite

show abstract

“…It is the largest and the most populous city in Kerala State. The center of Thiruvananthapuram city consists of a highly dense built-up area (Amrutha et al, 2016). The Thiruvananthapuram city is located within the Thiruvananthapuram District, which lies in the southern part of Kerala State.…”

Section: Urban Water System In Thiruvananthapuram Citymentioning

confidence: 99%

The Linkage between Urban Built-up and Surface Water Quality: Inferences from the Parts of Karamana River Basin, Thiruvananthapuram, Kerala, India

AbdulKhader

Rema

2021

Preprint

View full text Add to dashboard Cite

The linkage between the land use/land cover (LULC) pattern and water quality is an emerging topic in multidisciplinary research. The LULC changes affect water quality in many ways. Change in the land use/land cover, especially urbanization leads to water quality deterioration. This study mainly focuses on the water quality in parts of the river Karamana, which flows through the Thiruvananthapuram urban area. The water quality parameters of six selected sites within the urban area were obtained. Physico-chemical and biological parameters of water quality were analysed for 2019 (pre-monsoon, monsoon, and post-monsoon). The water quality data obtained during the present study were used to characterize the built-up and other areas. Results have shown a distinct variation of parameters in the upstream region (less built-up) than that of the urban area (more built-up). The results have clearly demonstrated the indication of the effect of urbanization on water resources. The speedy development of urban built-up in Thiruvananthapuram city causing severe issues to the water regime in terms of its quality. The data shows that the water quality is poor in the pre-monsoon period in most of the areas. Though the worsening of water quality is limited to a few localized zones, the trend of the quality change is serious. It needs the attention and proper consideration of policy planners and decision-makers. Adequate effluent treatment facilities in the urban regions is the need of the hour to minimize pollution.

show abstract

“…Researchers in [3][4][5][6][7][8][9][10][11][12][13][14] and others have used an activity-based approach to analyse the impact on travel of changes, mainly focusing on the socio-economic environment. These studies have concluded that the effect of travel behaviour processes on activity models in time and space is very complex.…”

Section: Introductionmentioning

confidence: 99%

Activity Chains Modelling of Travellers by Using Logit Models Based on the Utility Function

Al-Salih

Esztergár-Kiss

2022

Sustainability

View full text Add to dashboard Cite

Transportation planning plays an essential role in improving the transportation system. Therefore, planners should have the ability to forecast the response of transportation demand to changes in the characteristics of the travellers. This has led researchers to work on more effective behavioural models by updating conventional models and replacing them with activity-based modelling to describe the daily activity chains performed by travellers. So, this study uses the activity model to model and analyse daily activity to identify the factors affecting the activity chain. This study aims to use logit models based on the utility function for modelling the activity chains of travellers in Budapest city. At the same time, we identify the effects of various characteristics related to the traveller, trip and location in the activity chains. This paper presents the relationships between the two aspects of travel behaviour and activity chains by providing two different causal structures. The results showed that the location attribute, activity duration and activity purpose were most influential on the activity chains. This study provides good insights into activity chains behaviour of travellers. It also extends the need to incorporate activity model behaviour within these complicated processes and household and individual decision making of daily activity.

show abstract

Activity Based Travel Demand Modeling of Thiruvananthapuram Urban Area

Cited by 10 publications

References 2 publications

A Tour-Based Mode Choice Model for Commuters in Indonesia

A Tour-Based Mode Choice Model for Commuters in Indonesia

The Linkage between Urban Built-up and Surface Water Quality: Inferences from the Parts of Karamana River Basin, Thiruvananthapuram, Kerala, India

Activity Chains Modelling of Travellers by Using Logit Models Based on the Utility Function

Contact Info

Product

Resources

About