Last mile delivery is the last trip of an item before it arrives at the final destination. The current increase of last mile delivery is the impact of increasing home delivery services in areas that see a growing development of e-commerce. There are several issues in the operational process, including the high number of trips taken from parcel delivery service. One of the innovations used to solve these issues is the smart locker system. The objective of this research is to analyze the characteristics and efficiency of the smart locker system that has been running in Jabodetabek to reduce the trips taken for home delivery service. Data analysis was performed using the travel diary data of a single smart locker operator. Results showed that the use of smart locker is not without faults and causes the performance of each transit hub (as a part of a trip chain of smart lockers) to significantly differ. One issue includes the variable of waiting time either at the pickup or at the delivery of shipments. Another issue is that the coverage area for each locker is not the same, thus affecting the performance of each transit hub. In terms of delivery trip length, the use of the smart locker is 30.65% more efficient when compared to parcel delivery service. In order to deliver 222 items, the total trip length for parcel delivery is 717.8 km, while using the smart locker requires a total trip length of 497.83 km.

This is a repository copy of Modelling lane-changing mechanisms on motorway weaving sections.

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The interest of the community, especially MRT users to walk at the beginning or end of the journey to the MRT station is relatively low. The purpose of this study was to recognize the effect of changed preference attributes that affect the likelihood and distance of someone who will choose to walk compared to BRT and motorcycle taxi modes at the beginning or end of their journey. Data obtained using stated preference techniques and were analyzed by discrete choice analysis using a binomial logit model approach with 2 schemes, walking with BRT and walking with motorcycle taxi. The walking distance perception between men and women will choose to walk compared to others alternative mode when the distance to MRT stations are 629 meters and 593 meters respectively and the walking distance perception, when compared to the area between the office area and residence area are 689 meters and 547 meters.

Comfort of the train passengers is the main priority of modern mass rapid transit (MRT) management. Objective of this paper is to investigate the thermal comfort of the elevated MRT station in tropical climate. The first step of this study was to conduct literature review on human thermal comfort, environment ergonomics, computational fluid dynamic (CFD), computational aeroacoustics (CAA), and predicted mean vote (PMV). Air quality in elevated MRT station was measured based on several parameters: relative humidity, wind speed, temperature, and wind direction. A 3D model of MRT designed was used to describe existing condition prior to simulations with CFD and CAA softwares. Predicted mean vote is arranged based on the value of metabolism, wind speed, ambient temperature, mean radiant temperature, amount of insulation from clothing, and relative humidity. Whereas predicted percentage of dissatisfi ed (PPD) can be derived from PMV calculations. The analysis shows that the average PMV of existing condition for elevated outdoor MRT station is 3.6 (extremely hot) with PPD is 100% (all passengers felt discomfort). Some recommendations to reduce heat stress were addressed such as: adding plant, changing materials of the MRT station, and change the design of the elevated MRT station. Modifying open elevated MRT station into indoor elevated MRT station with installing six units of AC (2pk, ±23°C) can improve air quality and maintain the thermal comfort scale of PMV to be –0.04 (comfort) with PPD of < 8%. Based on the analysis, it can be concluded that the most suitable design for elevated MRT station in tropical climate (hot and humid) is indoor MRT station with pay attention to both direct and indirect heat exposure that hit the station.