The increasing importance of the informal market economy as a livelihood strategy in urban areas across developing countries, particularly in Bangladesh, secures an important position for the low- and middle-income people of a city. This study focuses on Bou Bazar market of Dhaka, Bangladesh, to examine the spatial, temporal, and managerial dynamics of a market characterized by a unique structure that combines both formal and informal elements of a market. Thus, it allows the investigation of a distinct type of market model, which has the potential to perform better than pure informal markets. The study involved Focus Group Discussion with different stakeholder groups, a series of interviews, and the utilization of different Participatory Rapid Appraisal (PRA) tools for data collection. Qualitative analysis was employed through clustering, grouping, and comparison within the collected data. Key findings include increased vendor diversity driven by growing demand, efficient use of public space with limited operating hours, improved vendor satisfaction through balancing their autonomy, external management with stakeholder collaboration and a discretionary policy of service fee which could not be assigned to any useful purpose other than exploitation. The study suggests that formal management of any informal market offers comparative advantages to ensure inclusive economic growth that can be a beneficial learning for other developing countries as well.

The COVID-19 outbreak created immense disruptions in our daily lives. Travel is one of the major areas severely impacted by the pandemic. Bangladesh experienced two waves of COVID-19 between March 2020 and July 2021. Although several studies focused on significant changes in the travel behavior of urban road users before and during the pandemic, hardly any research examined the differences between the two waves. Hence, it was important to study the differences in travel behavior between the two waves of the COVID-19 pandemic to understand how the effects of travel restrictions, health concerns, and the severity of the pandemic on people's travel decisions change over time. This study intends to investigate the changes in travel behavior between the first and second waves of the COVID-19 pandemic in Dhaka and the factors that influence these changes. Data were collected through online questionnaire surveys using the Google form. Voluntary response and convenience sampling techniques were used to collect responses from 447 people in Dhaka. Descriptive statistics and non-parametric tests were conducted to analyze the data. In addition, two multinomial logistic models were developed to identify the factors behind the changes in travel behavior. This study reveals that work and shopping trips increased, whereas work-from-home and online shopping somewhat decreased during the second pandemic wave compared to the first pandemic wave. Most non-car owners who reduced their use of public transportation during the first pandemic increased their use during the second wave. There was no significant increase in the use of active transport modes for work and shopping trips in Dhaka. The perceived risk of COVID-19 infection was relatively lower during the second wave, influencing the respondents to travel more frequently for work and shopping purposes. Ensuring more adaptive public transportation, flexibility to work from home, and creating supportive infrastructures for active transport modes might help to provide a safe, affordable, and efficient transportation system for all during the future waves of the pandemic and other unprecedented events.