Pedestrian Facilities and Perceived Pedestrian Level of Service (PLOS): A Case Study of Chittagong Metropolitan Area, Bangladesh

Zannat, Khatun E.; Raja, Debasish Roy; Adnan, Mohammed Sarfaraz Gani

doi:10.1007/s40890-019-0078-4

Cited by 14 publications

(5 citation statements)

References 28 publications

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“…The study area is within the Chattogram City Corporation (CCC) located in the southeastern part of Bangladesh (Figure 1). Chattogram is the second‐largest city in Bangladesh, a prime seaport, and a large commercial hub and business center (Zannat et al., 2019). The city has a total population of 3.3 million with a mean density of approximately 19,000 people per km 2 (WorldPop, 2018).…”

Section: Methodsmentioning

confidence: 99%

Assessing the performance of public transport services in a developing country: A case study using data envelopment analysis

et al. 2021

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The accurate evaluation of public transport (PT) services in developing countries is a challenging task due to a lack of reliable data and formal guidelines. The aim of this study was to develop a framework addressing these data limitations and quantify PT performance using outputoriented Data Envelopment Analysis (DEA). The local bus service operation of Chattogram City Corporation area of Bangladesh was used as a case study. A performance assessment inventory was developed identifying the major stakeholders related to local bus service operations. The relative efficiencies of different bus routes (from users' and operators' perspectives) were estimated using the DEA model, which incorporated data from a semi-structured questionnaire survey linked with the inventory. The PT authority also ranked all bus routes according to their degree of efficiency. Results indicated that relative efficiency scores in various routes varied according to the stakeholders' perspectives. A range of different parameters were considered when evaluating the performance of the service. The proposed inventory and framework would be useful for policymakers and urban planners in sequencing and prioritising different routes. This optimisation process would provide improved transport services to the general public.

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Section: Methodsmentioning

confidence: 99%

Assessing the performance of public transport services in a developing country: A case study using data envelopment analysis

et al. 2021

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“…About 4 million people inhabit within 177 km 2 area of CCC. The administrative area of CCC is divided into 41 wards (smallest administrative unit) (Zannat et al 2019). Like other major cities of the country, Chittagong city is growing at an alarming rate, fueled primarily by rural-urban migration.…”

Section: The Study Areamentioning

confidence: 99%

“…Transport policies adopted in CCC mainly focus on promoting motorized transport, especially private automobiles. For example, major policies in the 'Long-Term Development Strategy (LTDS) for Traffic and Transportation in Chittagong' include widening of existing roads, as well as constructing new roads, while rehabilitation or construction of pedestrian pathways was given less priority (Zannat et al 2019). As a result, automobile dependency has been increasing, resulting in traffic congestion, environmental pollution, road crashes, and aesthetic degradation (Shamsher and Abdullah 2013).…”

Section: The Study Areamentioning

confidence: 99%

“…Due to limited public transport service coverage, middle and lower-middle-income groups are dependent on different forms of NMT. The majority of people in CCC use a combination of public transport and NMT as their primary mode of travel (CDA 2009;Zannat et al 2019). Therefore, understanding the impact of potential factors (except income) influencing NMT use of middle-income working adults may provide useful insights into the city planning.…”

Section: The Study Areamentioning

confidence: 99%

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Nonmotorized Commuting Behavior of Middle-Income Working Adults in a Developing Country

Zannat

Islam

Sunny

et al. 2021

J. Urban Plann. Dev.

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Although non-motorized transport (NMT) offers economic, environmental, and health benefits to individuals and communities, understanding non-motorized travel behavior is a challenging task due to complex interactions of a wide range of factors. Whilst behavioral models offer a conceptual framework to understand human behavior, their use in the study of travel behavior in developing countries is still in its infancy. This study uses three behavioral models-the theory of planned behavior, the theory of triadic influence, and the ecological model of health behavior-to identify potential factors influencing intentions and behavior toward the use of NMT by middle-income working adults, inhabiting Chittagong City Corporation (CCC) area of Bangladesh. A total of 720 middle-income working adults (aged between 18 and 65 years) was randomly selected and interviewed at major commercial and retail business areas of the CCC. Multiple linear and binary logistic models were developed to quantify the extent of the influence of different factors on non-motorized mode choice behavior. Results indicated that personal factors (proximal) such as attitude, subjective norm, and behavioral control influence respondents' intentions and motivation in choosing NMT. However, the current use of NMT was less controlled by intention, while factors associated with the social, cultural, and built environment had (distal) significant influence. The findings of this study could assist urban planners in adopting structural and non-structural measures to promote NMT use.

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“…Ali et al improved the SERVQUAL index and analyzed it through SEM [14]. Bivina et al used the main aspects of a pedestrian label of service (PLOS) [15] to provide a comfortable and safe walking environment. PLOS is a measurement tool for evaluating the degree of pedestrian accommodation on roadways.…”

Section: Related Workmentioning

confidence: 99%

Causality Model for Text Data with a Hierarchical Topic Structure

Ogawa

Shimadzu

Saga

2020

2020 International Conference on Technologies and Applications of Artificial Intelligence (TAAI)

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This study describes a method for constructing a causality model from text data, such as review data. Topic modeling is useful to find these evaluation factors from text data. The method based on hierarchical latent Dirichlet allocation is useful because it automatically constructs relationships among topics. However, the depth of each topic in a hierarchical structure is the same even if the contents differ for each topic. Accordingly, the method can generate less important topics that are not worth analyzing. To solve this problem, we construct a hierarchical topic structure with different depths and more important topics by using Bayesian rose trees. In the experiment, the values of the hyperparameters for constructing a hierarchical topic structure are estimated by using evaluation indexes for causal analysis. In addition, the experiment compares the proposed method with related approaches to demonstrate the usefulness of this model.

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Pedestrian Facilities and Perceived Pedestrian Level of Service (PLOS): A Case Study of Chittagong Metropolitan Area, Bangladesh

Cited by 14 publications

References 28 publications

Assessing the performance of public transport services in a developing country: A case study using data envelopment analysis

Assessing the performance of public transport services in a developing country: A case study using data envelopment analysis

Nonmotorized Commuting Behavior of Middle-Income Working Adults in a Developing Country

Causality Model for Text Data with a Hierarchical Topic Structure

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