Interaction between Road Network Connectivity and Spatial Pattern

AbstractRoad network is considered to be one of the keys to regional development of a region. The huge developmental cost of the road network demands effective utilisation, which can be attained only when there is proper connectivity and orientation. But the road network in many urban areas develop in an organic growth pattern. Hence a great emphasis needs to be given to the connectivity pattern of the road network. Urban road network has less theoretical research. Only some developed countries have carried out the evaluation of urban road network and hence it has great potential for development and application prospects.In this study an attempt has been made to analyse the road network connectivity and spatial pattern existing in Calicut city in India, and hence to determine if the network connectivity can explain significant variance in the spatial pattern of the network structure. Analysis reveals that transport network fractality is directly varying with respect to connectivity and coverage of the study area. Network density could better predict fractality of the road network than any other connectivity indicators. This means that there is significant relationship between the level of road network development and the network spatial structure within the study area

Exploratory analysis on worker's independent and joint travel patterns during weekdays and weekends

Understanding the intra-household interaction elements such as independent and joint activity participation and travel, over multiple days are very less explored, especially in the context of developing countries like India. This paper discusses the results of a study on the independent and joint travel of working people, during weekdays and weekends. Four types of daily activity-travel patterns are examined, such as Simple-Independent, Simple-Joint, Complex-Independent and Complex-Joint. Multinomial logit modelling is adopted to model the type of activity-travel pattern as a function of socio-demographic attributes and day of week variables. Models were developed for whole-week, weekdays and weekends separately. The data used for this study is collected using questionnaire drop off and pickup method, from Calicut city, Kerala State, India. Analyses presented here are based on a sample of 936 working people. The results indicate that males are more likely to perform Complex-Independent type of travel pattern, compared to females. The influence of age, gender, marital status, education level and exclusive vehicle availability are similar during weekdays and weekends. The presence of elderly persons, young children and students at home are observed to be significant in influencing the choice of activity-pattern types during weekdays, whereas during weekends, these variables did not emerge as significant ones. On Sunday, the possibility for joint travel is significantly higher than other days of the week. Studies in this line are expected to assist transportation planners in formulating day of week specific policy strategies

Modeling of Discretionary Activities of Non-Workers in a City in India

AbstractThis paper concentrates on the decision of non-workers to participate in shopping and recreation in Calicut city, a major urban center in Kerala, in India. The non-workers in the present study comprise of homemakers and the retirees. Activity and travel details collected using home interview survey formed the data base for the study. Multinomial logit models are used for analyzing the participation behaviour of non-workers in these activities. Age, travel mode, availability of household vehicles, presence of school going children, day of the week and time of day are some of the variables influencing these choices. The outcome confirms the previous findings on factors affecting non-work participation behaviour of non-workers in these activities. These models have wide applicability in determining the travel behaviour of non-workers and can serve as a major input to travel demand forecast

Development of Hierarchical Safety Performance Functions for Urban Mid-blocks

AbstractCrash frequency and severity are influenced by a variety of variables that represent regional, site, crash and driver-vehicle unit characteristics. In the traditional methods of crash prediction, all the variables are considered at a single level and the multilevel structure inherent in the crash data is ignored. Hierarchical modelling is a statistical technique that allows multilevel data structure to be properly specified and estimated. In the present study, a hierarchical modelling approach was used to estimate the crash frequency and severity of single and dual carriageway roads. Since the crash patterns of single and dual carriageways were found to be different, separate models were developed for these facilities. A two level design was adopted for crash frequency prediction and four level design for crash severity prediction. The two levels in the crash frequency prediction are geographic region level and traffic site level. The additional levels in severity prediction are crash level and driver-vehicle unit level. The study indicates that hierarchical models performed better for crash frequency and severity prediction. Hierarchical models are strongly advocated for crash data that has correlated observations within groups

Proceedings of International Web Conference in Civil Engineering for a Sustainable Planet

This proceeding contains articles of the various research ideas of the academic community and practitioners accepted at the "International Web Conference in Civil Engineering for a Sustainable Planet (ICCESP 2021)". ICCESP 2021 is being Organized by the Habilete Learning Solutions, Kollam in Collaboration with American Society of Civil Engineers (ASCE), TKM College of Engineering, Kollam, and Baselios Mathews II College of Engineering, Kollam, Kerala, India. Conference Title: International Web Conference in Civil Engineering for a Sustainable PlanetConference Acronym: ICCESP 2021Conference Date: 05–06 March 2021Conference Location: Online (Virtual Mode)Conference Organizer: Habilete Learning Solutions, Kollam, Kerala, IndiaCollaborators: American Society of Civil Engineers (ASCE), TKM College of Engineering, Kollam, and Baselios Mathews II College of Engineering, Kollam, Kerala, India